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ORCIDCoRR, April 2019
- Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae:
Open Problems in Engineering Machine Learning Systems and the Quality Model. - Duilio Balsamo, Paolo Bajardi, André Panisson
:
Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort. - Pushkal Agarwal, Nishanth Sastry, Edward Wood:
Tweeting MPs: Digital Engagement between Citizens and Members of Parliament in the UK. - Ahmed Khalifa, Mohamed Fanni:
Quadrotor Manipulation System: Development of a Robust Contact Force Estimation and Impedance Control Scheme Based on DOb and FTRLS. - Jonas Klappert, Fabian Lange:
Reconstructing Rational Functions with FireFly. - Subramanya Nageshrao, H. Eric Tseng, Dimitar P. Filev:
Autonomous Highway Driving using Deep Reinforcement Learning. - Yiting Zhao, Chen Yuan, Sun Li, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Graph Computing based Fast Screening in Contingency Analysis. - Sanping Zhou, Jinjun Wang, Fei Wang, Dong Huang:
SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection. - Wen-Kai Yu:
Cryptographic key distribution over a public network via variance-based watermarking in compressive measurements. - Ivo Trowitzsch, Christopher Schymura, Dorothea Kolossa, Klaus Obermayer:
Joining Sound Event Detection and Localization Through Spatial Segregation. - Marco Montali, Andrey Rivkin:
From DB-nets to Coloured Petri Nets with Priorities (Extended Version). - Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He:
Multi-Scale Time-Frequency Attention for Rare Sound Event Detection. - Fakrul Islam Tushar, Basel Alyafi, Md. Kamrul Hasan, Lavsen Dahal:
Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques. - Xuelin Chen, Baoquan Chen, Niloy J. Mitra:
Unpaired Point Cloud Completion on Real Scans using Adversarial Training. - Behrad Toghi, Md Saifuddin, Yaser P. Fallah, Muhammad Ozair Mughal:
Analysis of Distributed Congestion Control in Cellular Vehicle-to-everything Networks. - Elena Balashova, Jiangping Wang, Vivek K. Singh, Bogdan Georgescu, Brian Teixeira, Ankur Kapoor:
3D Organ Shape Reconstruction from Topogram Images. - Dimitar Ho, John C. Doyle:
Scalable Robust Adaptive Control from the System Level Perspective. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Autonomous Visual Assistance for Robot Operations Using a Tethered UAV. - Çigdem Aslay, Aristides Gionis, Michael Mathioudakis:
Query the model: precomputations for efficient inference with Bayesian Networks. - Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan:
A Gaussian process latent force model for joint input-state estimation in linear structural systems. - Chaowen Guan, Kenneth W. Regan:
Stabilizer Circuits, Quadratic Forms, and Computing Matrix Rank. - Milos Simic:
How to Estimate the Ability of a Metaheuristic Algorithm to Guide Heuristics During Optimization. - Irawan Nurhas, Jan M. Pawlowski, Stefan Geisler, Maria Kovtunenko, Bayu Rima Aditya:
Group-centered framework towards a positive design of digital collaboration in global settings. - Erion Çano, Ondrej Bojar:
Keyphrase Generation: A Text Summarization Struggle. - Matthias Joiko, Florian Kohnen, Kevin Lapinski, Houda Moudrik, Irawan Nurhas, Florian Paproth, Jan M. Pawlowski:
Enabling decentral collaborative innovation processes - a web based real time collaboration platform. - Fan Bai, Alan Ritter:
Structured Minimally Supervised Learning for Neural Relation Extraction. - Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg:
Dance Dance Generation: Motion Transfer for Internet Videos. - Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane:
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. - Zhi-Xiu Ye, Zhen-Hua Ling:
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions. - Gaurav Verma, Eeshan Gunesh Dhekane, Tanaya Guha:
Learning Affective Correspondence between Music and Image. - Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman:
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. - Thomas F. J.-M. Pasquier, David M. Eyers, Jean Bacon:
Viewpoint | Personal Data and the Internet of Things: It is time to care about digital provenance. - Marco Baroni:
Linguistic generalization and compositionality in modern artificial neural networks. - Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun:
UVA: A Universal Variational Framework for Continuous Age Analysis. - Tetsuto Takano, Satoshi Yamane:
Machine translation considering context information using Encoder-Decoder model. - Xin Yang, Yuezun Li, Honggang Qi, Siwei Lyu:
Exposing GAN-synthesized Faces Using Landmark Locations. - Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun:
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis. - Jingcai Guo, Song Guo:
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition. - Jingcai Guo, Song Guo:
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. - Nicolò Pollini, Ole Sigmund, Casper Schousboe Andreasen, Joe Alexandersen:
A "poor man's" approach for high-resolution three-dimensional topology optimization of natural convection problems. - Anik Islam, Md. Fazlul Kader, Md. Mofijul Islam, Soo Young Shin:
NEWSTRADCOIN: A Blockchain Based Privacy Preserving Secure NEWS Trading Network. - Zainab Alhakeem, Se-In Jang:
A Convolution-Free LBP-HOG Descriptor For Mammogram Classification. - Kiran S. Balagani, Matteo Cardaioli, Mauro Conti, Paolo Gasti, Martin Georgiev, Tristan Gurtler, Daniele Lain, Charissa Miller, Kendall Molas, Nikita Samarin, Eugen Saraci, Gene Tsudik, Lynn Wu:
PILOT: Password and PIN Information Leakage from Obfuscated Typing Videos. - Marie Fortin:
FO = FO3 for linear orders with monotone binary relations. - Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Filip Murlak, Magdalena Ortiz, Mantas Simkus:
Ontology Focusing: Knowledge-enriched Databases on Demand. - Abhay Kumar, Nishant Jain, Chirag Singh, Suraj Tripathi:
Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network. - Haoyu Ma, Juncheng Zhang, Shaojun Liu, Qingmin Liao:
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network. - Zhujun Zhang:
A Note on Hardness Frameworks and Computational Complexity of Xiangqi and Janggi. - Pawel Swietojanski, Ondrej Miksik:
Static Visual Spatial Priors for DoA Estimation. - Taimoor Tariq, Juan Luis Gonzalez, Munchurl Kim:
A HVS-inspired Attention Map to Improve CNN-based Perceptual Losses for Image Restoration. - Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Tao Yang:
Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. - Tanweer Alam:
IoT-Fog: A Communication Framework using Blockchain in the Internet of Things. - Humam Alwassel, Fabian Caba Heilbron, Ali K. Thabet, Bernard Ghanem:
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization. - Jiaxin Li, Gim Hee Lee:
USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. - Ali K. Thabet, Humam Alwassel, Bernard Ghanem:
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds. - Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. - Su Feng, Aaron Huber, Boris Glavic, Oliver Kennedy:
Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers (extended version). - Patrick Wortner, Moritz Schubotz, Corinna Breitinger, Stephan Leible, Bela Gipp:
A decentralized method for making sensor measurements tamper-proof to support open science applications. - Chandra Sekhar Vorugunti, Prerana Mukherjee, Devanur S. Guru, Viswanath Pulabaigari:
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification. - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. - Sara Iodice, Krystian Mikolajczyk:
Person Re-identification with Bias-controlled Adversarial Training. - Adriano Belletti Felicio, André Luiz Cunha:
Classification of Motorcycles using Extracted Images of Traffic Monitoring Videos. - Joakim Blikstad:
On the longest common subsequence of Thue-Morse words. - Siqi Zhou, Andriy Sarabakha, Erdal Kayacan, Mohamed K. Helwa, Angela P. Schoellig:
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking. - Thi Ai Thao Nguyen, Tran Khanh Dang, Dinh Thanh Nguyen:
A New Biometric Template Protection using Random Orthonormal Projection and Fuzzy Commitment. - Mei-Yun Chen, Ya-Bo Huang, Sheng-Ping Chang, Ming Ouhyoung:
Prediction Model for Semitransparent Watercolor Pigment Mixtures Using Deep Learning with a Dataset of Transmittance and Reflectance. - Fei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han, Dong Huang:
Person-in-WiFi: Fine-grained Person Perception using WiFi. - Fei Wang, Stanislav Panev, Ziyi Dai, Jinsong Han, Dong Huang:
Can WiFi Estimate Person Pose? - Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
COCO-GAN: Generation by Parts via Conditional Coordinating. - Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating CNNs on the Gestalt Principle of Closure. - Vikram Krishnamurthy:
Convex Stochastic Dominance in Bayesian Estimation and Controlled Sensing POMDPs. - Casper Petersen:
On the Estimation and Use of Statistical Modelling in Information Retrieval. - Zhuoran Dang, Mamoru Ishii:
Two-phase flow regime prediction using LSTM based deep recurrent neural network. - Julián Estévez, Gorka Garate, José Manuel López-Guede, Manuel Graña:
Using Scratch to Teach Undergraduate Students' Skills on Artificial Intelligence. - Mohit Sharma, Kevin Zhang, Oliver Kroemer:
Learning Semantic Embedding Spaces for Slicing Vegetables. - Franco Morando:
Decomposition and Modeling in the Non-Manifold domain. - Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. - Bruno Godefroy, Christopher Potts:
Modeling Drug-Disease Relations with Linguistic and Knowledge Graph Constraints. - Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho:
Molecular geometry prediction using a deep generative graph neural network. - Emanuel E. Bessa, Joberto S. B. Martins:
A Blockchain-based Educational Record Repository. - Patrick Rodler, Michael Eichholzer:
A New Expert Questioning Approach to More Efficient Fault Localization in Ontologies. - Jinsong Hu, Yongpeng Wu, Riqing Chen, Feng Shu, Jiangzhou Wang:
Optimal Detection of UAV's Transmission with Beam Sweeping in Wireless Networks. - Jiaxin Li, Yingcai Bi, Gim Hee Lee:
Discrete Rotation Equivariance for Point Cloud Recognition. - Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang:
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences. - Grigori Fursin:
SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments. - Chengsheng Mao, Liang Yao, Yuan Luo:
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays. - Chengsheng Mao, Liang Yao, Yuan Luo:
MedGCN: Graph Convolutional Networks for Multiple Medical Tasks. - Chuang Ye, Mustafa Cenk Gursoy, Senem Velipasalar:
Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning. - Lin Zhang:
An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images. - Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robust Extended Kalman Filtering for Systems with Measurement Outliers. - Chuan Yan, Huazhen Fang:
Observer-Based Distributed Leader-Follower Tracking Control: A New Perspective and Results. - Huili Chen, Bita Darvish Rouhani, Farinaz Koushanfar:
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks. - Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen:
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks. - Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen:
Efficient and error-tolerant schemes for non-adaptive complex group testing and its application in complex disease genetics. - Sungjoon Park, Donghyun Kim, Alice Oh:
Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues. - Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park:
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network. - Hui Li, Meng Yang, Zhihui Lai, Weishi Zheng, Zitong Yu:
Pedestrian re-identification based on Tree branch network with local and global learning. - Nicolas Aragon, Philippe Gaborit, Adrien Hauteville, Olivier Ruatta, Gilles Zémor:
Low Rank Parity Check Codes: New Decoding Algorithms and Applications to Cryptography. - Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Archit Somani:
Achieving Greater Concurrency in Execution of Smart Contracts using Object Semantics. - Albina Khusainova, Adil Khan, Adín Ramírez Rivera:
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation. - Soheil Mehrabkhani:
Fourier Transform Approach to Machine Learning. - Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. - Salwa Mostafa, Abd El-Naser A. Mohamed, Fathi E. Abd El-Samie, Ahmed Nabih Zaki Rashed:
Cyclic Shift Code for SAC-OCDMA Using Fiber Bragg-Grating. - Enxhell Luzhnica, Ben Day, Pietro Liò:
Clique pooling for graph classification. - Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap:
LightChain: A DHT-based Blockchain for Resource Constrained Environments. - Giuseppe Silano:
MAT-Fly: an educational platform for simulating Unmanned Aerial Vehicles aimed to detect and track moving objects. - Badraddin Alturki, Stephan Reiff-Marganiec, Charith Perera, Suparna De:
Exploring the Effectiveness of Service Decomposition in Fog Computing Architecture for the Internet of Things. - Zhihang Li, Xu Tang, Junyu Han, Jingtuo Liu, Ran He:
PyramidBox++: High Performance Detector for Finding Tiny Face. - Xiaoye Sun, Liyan Ma, Gongyan Li:
Multi-vision Attention Networks for On-line Red Jujube Grading. - Reto E. Koenig:
How to Authenticate MQTT Sessions Without Channel- and Broker Security. - Barzan A. Yosuf, Mohamed O. I. Musa, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Impact of Distributed Processing on Power Consumption for IoT Based Surveillance Applications. - Francisco Martins, Dominic Orchard:
Proceedings Programming Language Approaches to Concurrency- and Communication-cEntric Software, PLACES@ETAPS 2019, Prague, Czech Republic, 7th April 2019. EPTCS 291, 2019 [contents] - Tatsuoki Kato, Tomoki Nakamigawa, Tadashi Sakuma:
Pebble Exchange Group of Graphs. - Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the Decomposition of Multivariate Nonstationary Multicomponent Signals. - Madhav Suresh, Zuohao She, William Wallace, Adel Lahlou, Jennie Rogers:
KloakDB: A Platform for Analyzing Sensitive Data with K-anonymous Query Processing. - Liat Sless, Gilad Cohen, Bat El Shlomo, Shaul Oron:
Self Supervised Occupancy Grid Learning from Sparse Radar for Autonomous Driving. - Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun:
Single Path One-Shot Neural Architecture Search with Uniform Sampling. - Satwik Patnaik, Nikhil Rangarajan, Johann Knechtel, Ozgur Sinanoglu, Shaloo Rakheja:
Spin-Orbit Torque Devices for Hardware Security: From Deterministic to Probabilistic Regime. - A. Jang Sher, Umer Huzaifa, Jialu Li, Varun Jain, Alexander Zurawski, Amy LaViers:
An Embodied, Platform-invariant Architecture for Connecting High-level Spatial Commands to Platform Articulation. - Denis Osipov, Kai Sun:
Tensor Decomposition based Adaptive Model Reduction for Power System Simulation. - Huyan Huang, Yipeng Liu, Ce Zhu:
Robust Tensor Recovery using Low-Rank Tensor Ring. - George Adam, Jonathan Lorraine:
Understanding Neural Architecture Search Techniques. - Uk Jo, Taehyun Jo, Wanjun Kim, Iljoo Yoon, Dongseok Lee, Seungho Lee:
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading. - Diogo Pernes, Jaime S. Cardoso:
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. - Amir Moaddeli, Iman Nabati Ahmadi, Negin Abhar:
The Power of d Choices in Scheduling for Data Centers with Heterogeneous Servers. - Joseph L. Heyman, Abhishek Gupta:
On the Computation of Strategically Equivalent Rank-0 Games. - Minchae Jung, Walid Saad, Gyuyeol Kong:
Performance Analysis of Large Intelligent Surfaces (LISs): Uplink Spectral Efficiency and Pilot Training. - Joseph L. Heyman, Abhishek Gupta:
Rank Reduction in Bimatrix Games. - Paolo Barucca:
Spectral density of equitable core-periphery graphs. - Markus Borg, Vahid Garousi, Anas Mahmoud, Thomas Olsson, Oskar Stålberg:
Video Game Development in a Rush: A Survey of the Global Game Jam Participants. - Md Umar Hashmi, Lucas Pereira, Ana Busic:
Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki:
Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation. - Irawan Nurhas, Stefan Geisler, Jan M. Pawlowski:
Positive Personas: Integrating Well-being Determinants into Personas. - Preetha Chatterjee:
Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language. - Petro Feketa, Alexander Schaum, Thomas Meurer, Dennis Michaelis, Karlheinz Ochs:
Synchronization of nonlinearly coupled networks of Chua oscillators. - Jahan Hassan, Ayub Bokani, Salil S. Kanhere:
Recharging of Flying Base Stations using Airborne RF Energy Sources. - Gustavo D. Gil, Julie M. Walker, Nabil Zemiti, Allison M. Okamura, Philippe Poignet:
How to enhance learning of robotic surgery gestures? A tactile cue saliency investigation for 3D hand guidance. - Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning. - Yi Wang, Joohyung Lee:
Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language pBC+. - Yuefan Deng, Meng Guo, Alexandre F. Ramos, Xiaolong Huang, Zhipeng Xu, Weifeng Liu:
Optimal Low-Latency Network Topologies for Cluster Performance Enhancement. - Soumyajit Mitra, P. S. Sastry:
Summarizing Event Sequences with Serial Episodes: A Statistical Model and an Application. - Abhishek Kulkarni, Andrew Lumsdaine:
A Comparative Study of Asynchronous Many-Tasking Runtimes: Cilk, Charm++, ParalleX and AM++. - Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang:
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model. - Qiang Zou, Hsi-Yung Feng:
On Limitations of the Witness Configuration Method for Geometric Constraint Solving in CAD Modeling. - Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun:
Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification. - Sinya Lee:
Maximization of Relative Social Welfare on Truthful Cardinal Voting Schemes. - Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte:
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study. - Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James R. Glass, Preslav Nakov:
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media. - Benjamin Heintz, Rankyung Hong, Shivangi Singh, Gaurav Khandelwal, Corey Tesdahl, Abhishek Chandra:
MESH: A Flexible Distributed Hypergraph Processing System. - Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen:
Weakly Supervised Object Detection with Segmentation Collaboration. - Chuanmin Jia, Zhaoyi Liu, Yao Wang, Siwei Ma, Wen Gao:
Layered Image Compression using Scalable Auto-encoder. - Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama:
Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes. - Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation with External Knowledge and Image Reconstruction. - Matthew Britton:
VINE: Visualizing Statistical Interactions in Black Box Models. - Jinguang Sun, Wanli Wang, Xian Wei, Li Fang, Xiaoliang Tang, Yusheng Xu, Hui Yu, Wei Yao:
Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images. - Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu:
Multi-source weak supervision for saliency detection. - Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan:
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series. - Weilin Zhou, Frédéric Precioso:
Adaptive Bayesian Linear Regression for Automated Machine Learning. - Mohsen Ahmadi, Hossein Soleimani:
Palmprint image registration using convolutional neural networks and Hough transform. - Jing Chi, Xiaolei Li, Haozhong Wang, Dazhi Gao, Peter Gerstoft:
Sound source ranging using a feed-forward neural network with fitting-based early stopping. - Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Using Similarity Measures to Select Pretraining Data for NER. - Foivos I. Diakogiannis, François Waldner, Peter Caccetta, Chen Wu:
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data. - Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. - Mohit K. Sharma, Alessio Zappone, Mohamad Assaad, Mérouane Debbah, Spyridon Vassilaras:
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach. - Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. - Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Video Object Segmentation using Space-Time Memory Networks. - Grégoire Cattan, Pedro C. Rodrigues, Marco Congedo:
Passive Head-Mounted Display Music-Listening EEG dataset. - Kiri Sakahara, Takashi Sato:
An Alternative Set Model of Cognitive Jump. - Guangying Jin, Séverine Sperandio, Philippe Girard:
Risk management in design process for Factory of the future. - Maximin Coavoux, Shay B. Cohen:
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle. - Guangxue Zhang, Aneel Tanwani:
ISS Lyapunov Functions for Cascade Switched Systems and Sampled-Data Control. - Anders Schlichtkrull, Jørgen Villadsen, Asta Halkjær From:
Students' Proof Assistant (SPA). 1-13 - Jørgen Villadsen, Asta Halkjær From, Anders Schlichtkrull:
Natural Deduction Assistant (NaDeA). 14-29 - Nuno Baeta, Pedro Quaresma:
Towards Ranking Geometric Automated Theorem Provers. 30-37 - Wolfgang Schreiner:
Theorem and Algorithm Checking for Courses on Logic and Formal Methods. 56-75 - Yu-Jung Heo, Kyoung-Woon On, Seongho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung-Tak Zhang:
Constructing Hierarchical Q&A Datasets for Video Story Understanding. - Sihong Chen, Kai Ma, Yefeng Zheng:
Med3D: Transfer Learning for 3D Medical Image Analysis. - Safaa J. Kasbah, Issam W. Damaj, Ramzi A. Haraty:
Multigrid Solvers in Reconfigurable Hardware. - Sihong Chen, Kai Ma, Yefeng Zheng:
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos. - Wei Wang, Ruiming Guo, Yapeng Tian, Wenming Yang:
CFSNet: Toward a Controllable Feature Space for Image Restoration. - Kaixuan Wei, Jiaolong Yang, Ying Fu, David P. Wipf, Hua Huang:
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements. - Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi:
Multimodal Machine Translation with Embedding Prediction. - Kan Wu, Guanbin Li, Haofeng Li, Jian-Jun Zhang, Yizhou Yu:
Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment. - Nicolás Robinson-García, Wenceslao Arroyo-Machado, Daniel Torres-Salinas:
Mapping social media attention in Microbiology: Identifying main topics and actors. - Arunabh Srivastava, Abhishek Sinha, Krishna P. Jagannathan:
On Minimizing the Maximum Age-of-Information For Wireless Erasure Channels. - Lorenzo Porcaro, Horacio Saggion:
Recognizing Musical Entities in User-generated Content. - Domen Tabernik, Danijel Skocaj:
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. - Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff:
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks. - Richard Torkar:
Data of low quality is better than no data. - Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang:
Learning Content-Weighted Deep Image Compression. - Apostolos Destounis, Dimitrios Tsilimantos, Mérouane Debbah, Georgios S. Paschos:
Learn2MAC: Online Learning Multiple Access for URLLC Applications. - Daniel Hershcovich, Assaf Toledo, Alon Halfon, Noam Slonim:
Syntactic Interchangeability in Word Embedding Models. - Oliver Hohlfeld, Helge Reelfs, Jan Rüth, Florian Schmidt, Torsten Zimmermann, Jens Hiller, Klaus Wehrle:
Application-Agnostic Offloading of Packet Processing. - Anza Shakeel, Waqas Sultani, Mohsen Ali:
Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting. - Debjit Paul, Anette Frank:
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs. - Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim:
End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image. - Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Subir Halder, Amrita Ghosal, Mauro Conti:
Secure OTA Software Updates in Connected Vehicles: A survey. - Gilad Yehudai, Ohad Shamir:
On the Power and Limitations of Random Features for Understanding Neural Networks. - Abdelkrime Aries, Djamel Eddine Zegour, Walid-Khaled Hidouci:
Automatic text summarization: What has been done and what has to be done. - Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy:
Defending against adversarial attacks by randomized diversification. - Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa:
Customer churn prediction in telecom using machine learning and social network analysis in big data platform. - Kyriaki Kalimeri, Mariano G. Beiró, Alessandra Urbinati, Andrea Bonanomi, Alessandro Rosina, Ciro Cattuto:
Human Values and Attitudes towards Vaccination in Social Media. - Girish Raguvir J, Manas Jyoti Kashyop, N. S. Narayanaswamy:
Fully Dynamic Data Structures for Interval Coloring. - Jiaojiao Zhao, Cees G. M. Snoek:
Dance with Flow: Two-in-One Stream Action Detection. - Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung:
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. - Francesco Malandrino, Carla-Fabiana Chiasserini:
Getting the Most Out of Your VNFs: Flexible Assignment of Service Priorities in 5G. - Cristian Pop, Alexandru Popa:
NewsCompare - a novel application for detecting news influence in a country. - Evgeny Krivosheev, Fabio Casati, Marcos Báez, Boualem Benatallah:
Combining Crowd and Machines for Multi-predicate Item Screening. - Ali Malik, Benjamin Aziz, Mo Adda, Chih-Heng Ke:
Smart Routing: Towards Proactive Fault-Handling in Software-Defined Networks. - Ziyu Yao, Jayavardhan Reddy Peddamail, Huan Sun:
CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning. - Robail Yasrab, Javed Ferzund, Saad Razzaq:
Challenges and issues in collaborative software developments. - Micha Pfeiffer, Carina Riediger, Jürgen Weitz, Stefanie Speidel:
Learning Soft Tissue Behavior of Organs for Surgical Navigation with Convolutional Neural Networks. - Joseph Suarez:
GAN You Do the GAN GAN? - Jun Yu, Xiao-Jun Wu:
Unsupervised Concatenation Hashing with Sparse Constraint for Cross-Modal Retrieval. - Yingchun Jiang, Wenchang Sun:
Adaptive sampling of time-space signals in a reproducing kernel subspace of mixed Lebesgue space. - Alessio Meneghetti, Tommaso Parise, Massimiliano Sala, Daniele Taufer:
A survey on efficient parallelization of blockchain-based smart contracts. - Sergiy Koshkin, Taylor Styers:
From Golden to Unimodular Cryptography. - Fakhar ul Hassan, Anwaar Ali, Siddique Latif, Junaid Qadir, Salil S. Kanhere, Jatinder Singh, Jon Crowcroft:
Blockchain And The Future of the Internet: A Comprehensive Review. - Ali M. Al-Haj:
Forensics Analysis of Xbox One Game Console. - Neeraj Chavan, Fabio Di Troia, Mark Stamp:
A Comparative Analysis of Android Malware. - Abdelmonim Naway, Yuancheng Li:
Using Deep Neural Network for Android Malware Detection. - Eitan Farchi, Onn Shehory, Guy Barash:
Defending via strategic ML selection. - Xiaolong Wu, Assia Benbihi, Antoine Richard, Cédric Pradalier:
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry. - Kevin Meng, Yu Meng:
The Sixth Sense with Artificial Intelligence: An Innovative Solution for Real-Time Retrieval of the Human Figure Behind Visual Obstruction. - Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh:
Projectron - A Shallow and Interpretable Network for Classifying Medical Images. - Elaine M. Bettaney, Stephen R. Hardwick, Odysseas Zisimopoulos, Benjamin Paul Chamberlain:
Fashion Outfit Generation for E-commerce. - Giuliano L. Manso, Helder Knidel, Renato A. Krohling, Jose A. Ventura:
A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust. - Xingbo Liu, Xiushan Nie, Yilong Yin:
Mutual Linear Regression-based Discrete Hashing. - Viroshan Naicker:
Token Exchange Games. - Amir Rastar:
A Novel Pixel-Averaging Technique for Extracting Training Data from a Single Image, Used in ML-Based Image Enlargement. - Philippe Allard:
Manual Encryption Revisited. - Qi Lin, Weitao Xu, Jun Liu, Abdelwahed Khamis, Wen Hu, Mahbub Hassan, Aruna Seneviratne:
H2B: Heartbeat-based Secret Key Generation Using Piezo Vibration Sensors. - Marcio Andrey Teixeira, Tara Salman, Maede Zolanvari, Raj Jain, Nader Meskin, Mohammed Samaka:
SCADA System Testbed for Cybersecurity Research Using Machine Learning Approach. - Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, Lex Fridman:
Value of Temporal Dynamics Information in Driving Scene Segmentation. - Juncheng Li, Frank R. Schmidt, J. Zico Kolter:
Adversarial camera stickers: A physical camera-based attack on deep learning systems. - Wieland Brendel, Matthias Bethge:
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet. - Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Speed Reading with Structural-Jump-LSTM. - Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi:
Affect in Tweets Using Experts Model. - Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau, Jesús Angulo, Isabelle Bloch:
Part-based approximations for morphological operators using asymmetric auto-encoders. - Mohammad Farhad Bulbul, Saiful Islam, Hazrat Ali:
3D human action analysis and recognition through GLAC descriptor on 2D motion and static posture images. - Haohao Li, Shengfa Wang, Nannan Li, Zhixun Su, Ximin Liu:
Non-rigid 3D shape retrieval based on multi-view metric learning. - Hassan Maleki Galandouz, Mohsen Ebrahimi Moghaddam, Mehrnoush Shamsfard:
A Weighted Multi-Criteria Decision Making Approach for Image Captioning. - Shi Chen, Qi Zhao:
Boosted Attention: Leveraging Human Attention for Image Captioning. - Yongqing Sun, Pranav Shenoy K. P, Jun Shimamura, Atsushi Sagata:
Concatenated Feature Pyramid Network for Instance Segmentation. - Reinaldo Mozart Da Gama e Silva, Lais Baroni, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil:
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation. - Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia:
Deep Demosaicing for Edge Implementation. - Jun Yu, Xiao-Jun Wu:
Cross-modal subspace learning with Kernel correlation maximization and Discriminative structure preserving. - Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck:
Efficient Incremental Learning for Mobile Object Detection. - Shadman Sakib, Zahidun Ashrafi, Md. Abu Bakr Siddique:
Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm for Observation of Accuracies for Various Hidden Layers. - Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W. Black:
A Survey of Code-switched Speech and Language Processing. - Aleksandr Perevalov, Daniil Kurushin, Rustam Faizrakhmanov, Farida Khabibrakhmanova:
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system. - Azhar Ahmad Jaini, Ghazali Sulong, Amjad Rehman:
Improved Dynamic Time Warping (DTW) Approach for Online Signature Verification. - Svitlana Alkhimova:
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy. - Soheil Esmaeilzadeh, Gao Xian Peh, Angela Xu:
Neural Abstractive Text Summarization and Fake News Detection. - Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier:
Retinal OCT disease classification with variational autoencoder regularization. - Lin Zhang, Petko Bogdanov:
DSL: Discriminative Subgraph Learning via Sparse Self-Representation. - Amjad Rehman:
Cursive Overlapped Character Segmentation: An Enhanced Approach. - Debajyoti Chatterjee:
Making Neural Machine Reading Comprehension Faster. - Ali Gholami, Mohammad Ali Maddah-Ali, Seyed Abolfazl Motahari:
Private Shotgun DNA Sequencing: A Structured Approach. - Jessica Moore, Ben Gelman, David Slater:
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. - Bernardino Casas, Antoni Hernández-Fernández, Neus Català, Ramon Ferrer-i-Cancho, Jaume Baixeries:
Polysemy and brevity versus frequency in language. - Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie:
Tightness-aware Evaluation Protocol for Scene Text Detection. - Chollette C. Olisah, Lyndon N. Smith:
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification. - Yi-Lun Pan, Min-Jhih Haung, Kuo-Teng Ding, Ja-Ling Wu, Jyh-Shing Roger Jang:
k-Same-Siamese-GAN: k-Same Algorithm with Generative Adversarial Network for Facial Image De-identification with Hyperparameter Tuning and Mixed Precision Training. - Siddharth Srivastava, Brejesh Lall:
DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds. - Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. - Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami:
A Game-Theoretic Framework for Resource Sharing in Clouds. - Sebastian Hartwig, Timo Ropinski:
Training Object Detectors on Synthetic Images Containing Reflecting Materials. - Simon Castellan, Pierre Clairambault, Peter Dybjer:
Categories with Families: Unityped, Simply Typed, and Dependently Typed. - Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang:
Depth-Aware Video Frame Interpolation. - Duc Phuc Nguyen, Dinh-Dung Le, Thi Hong Tran, Yasuhiko Nakashima:
Non-RLL DC-Balance based on a Pre-scrambled Polar Encoder for Beacon-based Visible Light Communication Systems. - Peter Chini, Roland Meyer, Prakash Saivasan:
Liveness in Broadcast Networks. - Raihan Sayeed Khan, Nadim H. Kanan, Jake Scoggin, Helena Silva, Ali Gokirmak:
Multi-contact Phase Change Toggle Logic Device Utilizing Thermal Crosstalk. - Changhee Han, Kohei Murao, Shin'ichi Satoh, Hideki Nakayama:
Learning More with Less: GAN-based Medical Image Augmentation. - David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin:
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. - Daniel Bauer, Lars Kuhnert, Lutz Eckstein:
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework. - Pablo Barceló, Diego Figueira, Miguel Romero:
Boundedness of Conjunctive Regular Path Queries. - Eran Goldman, Roei Herzig, Aviv Eisenschtat, Oria Ratzon, Itsik Levi, Jacob Goldberger, Tal Hassner:
Precise Detection in Densely Packed Scenes. - Irina Baptista, Stavros Shiaeles, Nicholas Kolokotronis:
A Novel Malware Detection System Based On Machine Learning and Binary Visualization. - Nantheera Anantrasirichai, David R. Bull:
DefectNET: multi-class fault detection on highly-imbalanced datasets. - Kyung-Su Kim, Sae-Young Chung:
Tree Search Network for Sparse Regression. - Alexander Engelmann, Timm Faulwasser:
Feasibility vs. Optimality in Distributed AC OPF - A Case Study Considering ADMM and ALADIN. - Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang:
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation. - Akram Y. Sarhan, Leszek Lilien:
An Approach to Identity Management in Clouds without Trusted Third Parties. - Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao:
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. - Axel Barroso Laguna, Edgar Riba, Daniel Ponsa, Krystian Mikolajczyk:
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters. - Antoine Rondelet, Michal Zajac:
ZETH: On Integrating Zerocash on Ethereum. - Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. - Fabio Cermelli, Massimiliano Mancini, Elisa Ricci, Barbara Caputo:
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots. - Matthew Wicker, Marta Kwiatkowska:
Robustness of 3D Deep Learning in an Adversarial Setting. - Manuel R. Ciosici, Tobias Sommer, Ira Assent:
Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddings. - Nikolai Vogler, Craig Stewart, Graham Neubig:
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation. - Pablo Barceló, Miguel Romero, Thomas Zeume:
A More General Theory of Static Approximations for Conjunctive Queries. - Vadim Markovtsev, Waren Long, Hugo Mougard, Konstantin Slavnov, Egor Bulychev:
STYLE-ANALYZER: fixing code style inconsistencies with interpretable unsupervised algorithms. - Florian Tschopp, Thomas Schneider, Andrew W. Palmer, Navid Nourani-Vatani, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Experimental Comparison of Visual-Aided Odometry Methods for Rail Vehicles. - Can Jozef Saul, Deniz Yagmur Urey, Can Doruk Taktakoglu:
Early Diagnosis of Pneumonia with Deep Learning. - Erwei Wang, James J. Davis, Peter Y. K. Cheung, George A. Constantinides:
LUTNet: Rethinking Inference in FPGA Soft Logic. - Wouter A. C. van Amsterdam, Marinus J. C. Eijkemans:
Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning. - Weiming Feng, Thomas P. Hayes, Yitong Yin:
Fully-Asynchronous Distributed Metropolis Sampler with Optimal Speedup. - Giovanni A. Cignoni, Fabio Gadducci:
Retracing and assessing the CEP project. - Haoxiang Zhang, Shaowei Wang, Tse-Hsun Peter Chen, Ahmed E. Hassan:
Does the hiding mechanism for Stack Overflow comments work well? No! - Maxwell Scale Uwadia Osagie, Osatohanmwen Enagbonma, Amanda Iriagbonse Inyang:
The Historical Perspective of Botnet tools. - Victoria Florence, Jason J. Corso, Brent Griffin:
Self-Supervised Robot In-hand Object Learning. - Francesco Dolce, Antonio Restivo, Christophe Reutenauer:
Some variations on Lyndon words. - Russell Mendonca, Abhishek Gupta, Rosen Kralev, Pieter Abbeel, Sergey Levine, Chelsea Finn:
Guided Meta-Policy Search. - Yang You, Jing Li, Jonathan Hseu, Xiaodan Song, James Demmel, Cho-Jui Hsieh:
Reducing BERT Pre-Training Time from 3 Days to 76 Minutes. - Michael A. Henning, Arti Pandey, Vikash Tripathi:
Complexity and Algorithms for Semipaired Domination in Graphs. - Vincent A. Knight, Marc Harper, Nikoleta E. Glynatsi, Jonathan W. Gillard:
Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner's Dilemma. - Linan Chen, Florence Clerc, Prakash Panangaden:
Bisimulation for Feller-Dynkin Processes. - Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Sentiment analysis with genetically evolved Gaussian kernels. - Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. - Marek Wodzinski, Andrzej Skalski:
Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm. - Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis:
Equivariant Multi-View Networks. - Andrew Cullen, Pietro Ferraro, Christopher K. King, Robert Shorten:
Distributed Ledger Technology for IoT: Parasite Chain Attacks. - Issam W. Damaj, Safaa J. Kasbah:
An Analysis Framework for Hardware and Software Implementations with Applications from Cryptography. - Alvine Boaye Belle:
Estimation and Prediction of technical debt: a proposal. - Xiao Zhang, Dongrui Wu:
On the Vulnerability of CNN Classifiers in EEG-Based BCIs. - Joerg Evermann, Henry M. Kim:
Workflow Management on the Blockchain - Implications and Recommendations. - Maximilian Doré, Krysia Broda:
Towards Intuitive Reasoning in Axiomatic Geometry. 38-55 - Allan Grønlund:
Algorithms Clearly Beat Gamers at Quantum Moves. A Verification. - Marko C. J. D. van Eekelen, Daniil Frumin, Herman Geuvers, Léon Gondelman, Robbert Krebbers, Marc Schoolderman, Sjaak Smetsers, Freek Verbeek, Benoît Viguier, Freek Wiedijk:
A benchmark for C program verification. - Azadeh Farzan, Victor Nicolet:
Modular Synthesis of Divide-and-Conquer Parallelism for Nested Loops (Extended Version). - Mingbo Ma, Renjie Zheng, Liang Huang:
Learning to Stop in Structured Prediction for Neural Machine Translation. - Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson:
Multitask Soft Option Learning. - Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli:
fairseq: A Fast, Extensible Toolkit for Sequence Modeling. - Elizabeth E. Bruch, M. E. J. Newman:
Structure of online dating markets in US cities. - Juan M. Durán, Nico Formanek:
Grounds for trust: Essential Epistemic Opacity and Computational Reliabilism. - Juan M. Durán:
Computer simulations in science and engineering - Concepts - Practices - Perspectives. - Juan M. Durán:
Varying the explanatory span: scientific explanation for computer simulations. - Akash Kumar, C. Seshadhri, Andrew Stolman:
Random walks and forbidden minors II: A poly(dε-1)-query tester for minor-closed properties of bounded-degree graphs. - Marco Romanelli, Catuscia Palamidessi, Konstantinos Chatzikokolakis:
Generating Optimal Privacy-Protection Mechanisms via Machine Learning. - Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. - Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh:
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. - Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang:
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. - Michael A. Raskin, Christoph Welzel:
Working with first-order proofs and provers. - Lee E. Clement, Mona Gridseth, Justin Tomasi, Jonathan Kelly:
Learning Matchable Colorspace Transformations for Long-term Metric Visual Localization. - Brendan Fong, Alberto Speranzon, David I. Spivak:
Temporal Landscapes: A Graphical Logic of Behavior. 276-288 - Ardavan Bidgoli, Pedro Veloso:
DeepCloud. The Application of a Data-driven, Generative Model in Design. - Joshua J. Engelsma, Debayan Deb, Anil K. Jain, Prem Sewak Sudhish, Anjoo Bhatnagar:
Infant-Prints: Fingerprints for Reducing Infant Mortality. - Ronny Tredup:
Hardness Results for the Synthesis of b-bounded Petri Nets (Technical Report). - Alberto Hernández, Adarsh Balasubramanian, Fenglin Yuan, Simon Mason, Tim Mueller:
Fast, accurate, and transferable many-body interatomic potentials by genetic programming. - Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. - Joshua J. Engelsma, Kai Cao, Anil K. Jain:
Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge. - Mohamed Elhoseiny, Mohamed Elfeki:
Creativity Inspired Zero-Shot Learning. - Rui Yan, Zongying Shi, Yisheng Zhong:
Guarding a Subspace in High-Dimensional Space with Two Defenders and One Attacker. - Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques:
Deep Industrial Espionage. - Marcel Hark, Benjamin Lucien Kaminski, Jürgen Giesl, Joost-Pieter Katoen:
Aiming Low Is Harder - Inductive Proof Rules for Lower Bounds on Weakest Preexpectations in Probabilistic Program Verification. - Cheng-I Lai, Nanxin Chen, Jesús Villalba, Najim Dehak:
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks. - Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein:
HYPE: Human eYe Perceptual Evaluation of Generative Models. - Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew J. Hausknecht:
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection. - Nuno Dionísio, Fernando Alves, Pedro Miguel Ferreira, Alysson Bessani:
Cyberthreat Detection from Twitter using Deep Neural Networks. - Yuan Zhang, Jason Baldridge, Luheng He:
PAWS: Paraphrase Adversaries from Word Scrambling. - Guang Hao Low, Nicholas P. Bauman, Christopher E. Granade, Bo Peng, Nathan Wiebe, Eric J. Bylaska, Dave Wecker, Sriram Krishnamoorthy, Martin Roetteler, Karol Kowalski, Matthias Troyer, Nathan A. Baker:
Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers. - Amro F. Alasta, Muftah A. Enaba:
Data warehouse on Manpower Employment for Decision Support System. - Abu Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Faryad Darabi Sahneh, Richard Spence:
Approximation algorithms and an integer program for multi-level graph spanners. - Lifu Tu, Kevin Gimpel:
Benchmarking Approximate Inference Methods for Neural Structured Prediction. - Yannick Schroecker, Mel Vecerík, Jonathan Scholz:
Generative predecessor models for sample-efficient imitation learning. - Duygu Sarikaya, Pierre Jannin:
Surgical Gesture Recognition with Optical Flow only. - Tianrui Xiao, Ashish Khisti:
Maximal Information Leakage based Privacy Preserving Data Disclosure Mechanisms. - Eliseu M. Oliveira, Rafael Freitas Reale, Joberto S. B. Martins:
Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning - Evidences Towards Dynamic BAM Reconfiguration. - Qihang Yu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Thickened 2D Networks for 3D Medical Image Segmentation. - Elias S. Helou, Marcelo V. W. Zibetti, Leon Axel, Kai Tobias Block, Ravinder R. Regatte, Gabor T. Herman:
The Discrete Fourier Transform for Golden Angle Linogram Sampling. - Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel G. Bean:
Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. - Yucheng Shi, Siyu Wang, Yahong Han:
Curls & Whey: Boosting Black-Box Adversarial Attacks. - Per Austrin, Amey Bhangale, Aditya Potukuchi:
Simplified inpproximability of hypergraph coloring via t-agreeing families. - Kuljeet Kaur, Sahil Garg, Georges Kaddoum, François Gagnon, Syed Hassan Ahmed:
Blockchain-based Lightweight Authentication Mechanism for Vehicular Fog Infrastructure. - Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip H. S. Torr:
Res2Net: A New Multi-scale Backbone Architecture. - Sahil Garg, Kuljeet Kaur, Georges Kaddoum, François Gagnon, Joel J. P. C. Rodrigues:
An Efficient Blockchain-based Hierarchical Authentication Mechanism for Energy Trading in V2G Environment. - Shane Storks, Qiaozi Gao, Joyce Y. Chai:
Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches. - Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel:
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. - Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul E. Debevec:
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality. - Shahinur Alam, Mohammed Yeasin:
Person Identification with Visual Summary for a Safe Access to a Smart Home. - Alphan Sahin, Rui Yang:
A Reliable Uplink Control Channel Design with Complementary Sequences. - Mrinal Kumar, Ben Lee Volk:
Lower Bounds for Matrix Factorization. - Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu:
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. - Xuehe Wang, Lingjie Duan:
Dynamic Pricing for Controlling Age of Information. - Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. - Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Jianru Xue, Nanning Zheng:
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition. - Yi Wan, Muhammad Zaheer, Adam White, Martha White, Richard S. Sutton:
Planning with Expectation Models. - Karol Miller, Grand Roman Joldes, George C. Bourantas, Simon K. Warfield, Damon E. Hyde, Ron Kikinis, Adam Wittek:
Biomechanical modeling and computer simulation of the brain during neurosurgery. - Afshin Abdi, Faramarz Fekri:
Nested Dithered Quantization for Communication Reduction in Distributed Training. - Poojan Oza, Vishal M. Patel:
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition. - Jesus Tordesillas, Juncal Arbelaiz:
Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies. - Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra:
Habitat: A Platform for Embodied AI Research. - Kwangsu Lee:
On the Analysis of the Revocable-Storage Identity-Based Encryption Scheme. - Mike Li, X. Rosalind Wang:
Peak Alignment of GC-MS Data with Deep Learning. - Zhe Chen, Jing Zhang, Dacheng Tao:
Progressive LiDAR Adaptation for Road Detection. - Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee:
Fence GAN: Towards Better Anomaly Detection. - Ikumi Hide, Soh Kumabe, Takanori Maehara:
Incorrect implementations of the Floyd-Warshall algorithm give correct solutions after three repeats. - Chang Sik Lee, Dong Eui Chang:
Enhancement of Energy-Based Swing-Up Controller via Entropy Search. - Prerana Mukherjee, Manoj Sharma, Megh Makwana, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Brejesh Lall, Santanu Chaudhury:
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks. - Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Deep Learning for Face Recognition: Pride or Prejudiced? - Ryosuke Funaki, Shinpei Hayashi, Motoshi Saeki:
The Impact of Systematic Edits in History Slicing. - Negar Mehr, Roberto Horowitz:
Pricing Traffic Networks with Mixed Vehicle Autonomy. - Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Guodong Guo, Patrick Le Callet:
Adversarial Attacks against Deep Saliency Models. - Rami Ailabouni, Orr Dunkelman, Sara Bitan:
DNS-Morph: UDP-Based Bootstrapping Protocol For Tor. - Walid Abdullah Al, Il Dong Yun, Eun Ju Chun:
Automatic Left Atrial Appendage Orifice Detection for Preprocedural Planning of Appendage Closure. - Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku:
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering. - Roy Karasik, Osvaldo Simeone, Shlomo Shamai:
How Much Can D2D Communication Reduce Content Delivery Latency in Fog Networks with Edge Caching? - Hongliang Zhang, Lingyang Song, Zhu Han, H. Vincent Poor:
Cooperation Techniques for A Cellular Internet of Unmanned Aerial Vehicles. - Subhankar Roy, Enver Sangineto, Begüm Demir, Nicu Sebe:
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images. - Lvchen Cao, Huiqi Li, Yanjun Zhang, Liang Xu, Li Zhang:
Hierarchical method for cataract grading based on retinal images using improved Haar wavelet. - Jarkko Kari, Etienne Moutot:
Decidability and Periodicity of Low Complexity Tilings. - Stefano Imoscopi, Volodya Grancharov, Sigurdur Sverrisson, Erlendur Karlsson, Harald Pobloth:
Experiments on Open-Set Speaker Identification with Discriminatively Trained Neural Networks. - Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham:
A PCA-like Autoencoder. - Benjamin Hilprecht, Carsten Binnig, Uwe Röhm:
Learning a Partitioning Advisor with Deep Reinforcement Learning. - Faina I. Solov'eva:
On transitive uniform partitions of F^n into binary Hamming codes. - Assel Altayeva, Nobuko Yoshida:
Service Equivalence via Multiparty Session Type Isomorphisms. 1-11 - Bernardo Almeida, Andreia Mordido, Vasco T. Vasconcelos:
FreeST: Context-free Session Types in a Functional Language. 12-23 - Rosita Gerbo, Luca Padovani:
Concurrent Typestate-Oriented Programming in Java. 24-34 - Jonathan King, Nicholas Ng, Nobuko Yoshida:
Multiparty Session Type-safe Web Development with Static Linearity. 35-46 - Jan de Muijnck-Hughes, Edwin C. Brady, Wim Vanderbauwhede:
Value-Dependent Session Design in a Dependently Typed Language. 47-59 - Daksh Thapar, Gaurav Jaswal, Aditya Nigam:
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. - Klaas Pruiksma, Frank Pfenning:
A Message-Passing Interpretation of Adjoint Logic. 60-79 - Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza:
Event-Based Motion Segmentation by Motion Compensation. - Thomas Kober, Sander Bijl de Vroe, Mark Steedman:
Temporal and Aspectual Entailment. - Vladimír Petrík, Ville Kyrki:
Feedback-based Fabric Strip Folding. - Sheng Shen, Daniel Fried, Jacob Andreas, Dan Klein:
Pragmatically Informative Text Generation. - Zhe Liu, Hesheng Wang, Shunbo Zhou, Yi Shen, Yun-Hui Liu:
Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications. - Guillaume Delorme, Xavier Alameda-Pineda, Stéphane Lathuilière, Radu Horaud:
Camera Adversarial Transfer for Unsupervised Person Re-Identification. - Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang:
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis. - Opeyemi O. Ajibola, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Disaggregation for Improved Efficiency in Fog Computing Era. - Yanxuan Li:
Short Text Classification Improved by Feature Space Extension. - Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. - Giulia Bernardini, Paola Bonizzoni, Gianluca Della Vedova, Murray Patterson:
A rearrangement distance for fully-labelled trees. - Xiaolun Jia, Xiangyun Zhou:
Performance Characterisation of Relaying Using Backscatter Devices. - Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain:
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking. - Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang:
HoloGAN: Unsupervised learning of 3D representations from natural images. - Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang:
Point in, Box out: Beyond Counting Persons in Crowds. - Konstantin Posch, Jürgen Pilz:
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks. - Benjamin D. M. Jones, George O. O'Brien, David Robert White, Earl T. Campbell, John A. Clark:
Optimising Trotter-Suzuki Decompositions for Quantum Simulation Using Evolutionary Strategies. - Lukas Drude, Daniel Hasenklever, Reinhold Haeb-Umbach:
Unsupervised training of a deep clustering model for multichannel blind source separation. - Vinod Kumar Kurmi, Vinay P. Namboodiri:
Looking back at Labels: A Class based Domain Adaptation Technique. - Nitya Lakshmanan, Inkyu Bang, Min Suk Kang, Jun Han, Jong Taek Lee:
SurFi: Detecting Surveillance Camera Looping Attacks with Wi-Fi Channel State Information (Extended Version). - Yuyang Zhou, Guang Cheng:
An Efficient Network Intrusion Detection System Based on Feature Selection and Ensemble Classifier. - Oleksandra Panasiuk, Omar Holzknecht, Umutcan Simsek, Elias Kärle, Dieter Fensel:
Verification and Validation of Semantic Annotations. - Zhi Tian, Chunhua Shen, Hao Chen, Tong He:
FCOS: Fully Convolutional One-Stage Object Detection. - Omer Arshad, Ignazio Gallo, Shah Nawaz, Alessandro Calefati:
Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition. - Takahiro Kawashima, Hayaru Shouno:
Fast Bayesian Restoration of Poisson Corrupted Images with INLA. - Azqa Nadeem, Christian A. Hammerschmidt, Carlos Hernandez Gañán, Sicco Verwer:
MalPaCA: Malware Packet Sequence Clustering and Analysis. - Peng Wang, Lu Yang, Hui Li, Yuyan Deng, Chunhua Shen, Yanning Zhang:
A Simple and Robust Convolutional-Attention Network for Irregular Text Recognition. - Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-domain Structures. - Aleksejs Naumovs, Maksims Dimitrijevs, Abuzer Yakaryilmaz:
The minimal probabilistic and quantum finite automata recognizing uncountably many languages with fixed cutpoints. - Vlad Hosu, Bastian Goldlücke, Dietmar Saupe:
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features. - Pierre Ganty, Francesco Ranzato, Pedro Valero:
Complete Abstractions for Checking Language Inclusion. - Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey, Snehasis Mukherjee:
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks. - Fuad A. Ghaleb:
Context-Aware Misbehavior Detection Scheme for Vehicular Ad Hoc Networks using Sequential Analysis of the Temporal and Spatial Correlation of the Cooperative Awareness Messages. - Yuting Jia, Haiwen Wang, Shuo Shao, Huan Long, Yunsong Zhou, Xinbing Wang:
On Geometric Structure of Activation Spaces in Neural Networks. - Peng Wang, Bingliang Jiao, Lu Yang, Yifei Yang, Shizhou Zhang, Wei Wei, Yanning Zhang:
Vehicle Re-identification in Aerial Imagery: Dataset and Approach. - Eric Benhamou, David Saltiel, Sébastien Vérel, Fabien Teytaud:
BCMA-ES: A Bayesian approach to CMA-ES. - Amanda Vidal:
On Transitive modal many-valued logics. - Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao:
Context and Attribute Grounded Dense Captioning. - Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall:
A Dataset for Semantic Segmentation of Point Cloud Sequences. - Jingwei Guan, Yibo Chen, Wai-kuen Cham:
The bilateral solver for quality estimation based multi-focus image fusion. - William Thong, Cees G. M. Snoek, Arnold W. M. Smeulders:
Cooperative Embeddings for Instance, Attribute and Category Retrieval. - Lingjing Wang, Jianchun Chen, Xiang Li, Yi Fang:
Non-Rigid Point Set Registration Networks. - Giorgi Japaridze:
Fundamentals of computability logic. - Marc Chaumont:
Deep Learning in steganography and steganalysis from 2015 to 2018. - Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. - Xinwei Yue, Yuanwei Liu, Yuanyuan Yao, Xuehua Li, Rongke Liu, Arumugam Nallanathan:
Secure Communications in a Unified Non-Orthogonal Multiple Access Framework. - Basheer Qolomany, Ala I. Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis Cheuk M. Fong:
Machine Learning, Big Data, And Smart Buildings: A Comprehensive Survey. - Christopher D. Clack, Ciaran McGonagle:
Smart Derivatives Contracts: the ISDA Master Agreement and the automation of payments and deliveries. - Toms Bergmanis, Sharon Goldwater:
Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text. - Eric Benhamou, David Saltiel, Beatrice Guez, Nicolas Paris:
BCMA-ES II: revisiting Bayesian CMA-ES. - Brian Simboli:
arXiv and the Symbiosis of Physics Preprints and Journal Review Articles: A Model. - Jian-Jia Weng, Fady Alajaji, Tamás Linder:
Capacity of Generalized Discrete-Memoryless Push-to-Talk Two-Way Channels. - Ali Furkan Biten, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas:
Good News, Everyone! Context driven entity-aware captioning for news images. - Florian Voigtländer, Ali Ramadan Ali, Joseph Eichinger, Jürgen Grotepaß, Karthikeyan Ganesan, Federico Diez Canseco, Dirk H. Pensky, Alois C. Knoll:
5G for the Factory of the Future: Wireless Communication in an Industrial Environment. - Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao:
Semantics Disentangling for Text-to-Image Generation. - Patrick Rodler, Dietmar Jannach, Konstantin Schekotihin, Philipp Fleiss:
Are Query-Based Ontology Debuggers Really Helping Knowledge Engineers? - Matthew Fahrbach, Dana Randall:
Slow Mixing of Glauber Dynamics for the Six-Vertex Model in the Ferroelectric and Antiferroelectric Phases. - Srushti Rath, Joseph Y. J. Chow:
Air Taxi Skyport Location Problem for Airport Access. - Fengjiao Liu, A. Stephen Morse:
On the Existence of a Fixed Spectrum for a Multi-channel Linear System: A Matroid Theory Approach. - Robert Schwarzenberg, Lisa Raithel, David Harbecke:
Neural Vector Conceptualization for Word Vector Space Interpretation. - Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation. - Tobias Winkler, Sebastian Junges, Guillermo A. Pérez, Joost-Pieter Katoen:
On the Complexity of Reachability in Parametric Markov Decision Processes. - Per Lynggaard:
Smart Home Wireless Sensor Nodes Addressing the Challenges using Smart Objects and Artificial Intelligence. - Michael Siracusano, Stavros Shiaeles, Bogdan V. Ghita:
Detection of LDDoS Attacks Based on TCP Connection Parameters. - Yanfu Yan, Ke Lu, Jian Xue, Pengcheng Gao, Jiayi Lyu:
FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation. - Niccolò Dal Santo, Simone Deparis, Luca Pegolotti:
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks. - Simos Gerasimou, Thomas Vogel, Ada Diaconescu:
Software Engineering for Intelligent and Autonomous Systems: Report from the GI Dagstuhl Seminar 18343. - Michail-Antisthenis I. Tsompanas, Claire Fullarton, Andrew Adamatzky:
Belousov-Zhabotinsky liquid marbles in robot control. - Oliver Kunc, Felix Fritzen:
Finite strain homogenization using a reduced basis and efficient sampling. - Céline Chevalier, Marc Kaplan, Quoc-Huy Vu:
On the Everlasting Security of Password-Authenticated Quantum Key Exchange. - Benjamin D. Horne, Dorit Nevo, John O'Donovan, Jin-Hee Cho, Sibel Adali:
Rating Reliability and Bias in News Articles: Does AI Assistance Help Everyone? - Samet Taspinar, Manoranjan Mohanty, Nasir D. Memon:
Source Camera Attribution of Multi-Format Devices. - Benjamin D. Horne, Jeppe Norregaard, Sibel Adali:
Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media. - Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson W. H. Lau:
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset. - Nadisha-Marie Aliman, Leon Kester:
Augmented Utilitarianism for AGI Safety. - André Zúquete, Fábio Marques:
An Architecture to Support the Invocation of Personal Services in Web Interactions. - Christopher Morris, Petra Mutzel:
Towards a practical k-dimensional Weisfeiler-Leman algorithm. - Jeppe Norregaard, Benjamin D. Horne, Sibel Adali:
NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles. - Dan Schwartz, Tom M. Mitchell:
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. - Uchenna Daniel Ani, Jeremy D. McK. Watson, Jason R. C. Nurse, Al Cook, Carsten Maple:
A Review of Critical Infrastructure Protection Approaches: Improving Security through Responsiveness to the Dynamic Modelling Landscape. - Ali Payani, Faramarz Fekri:
Learning Algorithms via Neural Logic Networks. - Amir Ziai:
Active Learning for Network Intrusion Detection. - David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli:
Analysing Mathematical Reasoning Abilities of Neural Models. - Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay:
Are Learned Molecular Representations Ready For Prime Time? - Èric Pairet, Paola Ardón, Frank Broz, Michael N. Mistry, Yvan R. Petillot:
Learning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation. - Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. - Frank Gurski, Dominique Komander, Carolin Rehs:
Oriented coloring on recursively defined digraphs. - Cheng-I Lai:
Contrastive Predictive Coding Based Feature for Automatic Speaker Verification. - Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Gabor Karsai:
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services. - Lukas Drude, Jahn Heymann, Reinhold Haeb-Umbach:
Unsupervised training of neural mask-based beamforming. - Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu:
A Benchmark for Edge-Preserving Image Smoothing. - Liye Fu, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil:
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives. - Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro, Dan Jurafsky:
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. - Waqar Ahmed, Shahid Ali Murtza, Osman Hasan, Sofiène Tahar:
On the Formalization of Importance Measures using HOL Theorem Proving. - Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace:
Inferring Which Medical Treatments Work from Reports of Clinical Trials. - Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady:
Structural Scaffolds for Citation Intent Classification in Scientific Publications. - Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. - Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Persistent Memory I/O Primitives. - Timo Schick, Hinrich Schütze:
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts. - Imad Rida:
Towards Human Body-Part Learning for Model-Free Gait Recognition. - Sree Hari Krishnan Parthasarathi, Nikko Strom:
Lessons from Building Acoustic Models with a Million Hours of Speech. - Adam M. Lauretig:
Identification, Interpretability, and Bayesian Word Embeddings. - Jonathan Norman, Felix G. Hamza-Lup:
Challenges in the Deployment of Visuo-Haptic Virtual Environments on the Internet. - Gowri Sankar Ramachandran, Xiang Ji, Pavas Navaney, Licheng Zheng, Martin Martinez, Bhaskar Krishnamachari:
MOTIVE: Micropayments for trusted vehicular services. - Anthony Hsu, Keqiu Hu, Jonathan Hung, Arun Suresh, Zhe Zhang:
TonY: An Orchestrator for Distributed Machine Learning Jobs. - Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz:
Boosting segmentation with weak supervision from image-to-image translation. - Li Yao, Jordan Prosky, Ben Covington, Kevin Lyman:
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging. - Matthew Giamou, Filip Maric, Valentin Peretroukhin, Jonathan Kelly:
Sparse Bounded Degree Sum of Squares Optimization for Certifiably Globally Optimal Rotation Averaging. - Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel:
MVX-Net: Multimodal VoxelNet for 3D Object Detection. - Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa:
Improving Robot Success Detection using Static Object Data. - Oskar Ljungqvist, Niclas Evestedt, Daniel Axehill, Marcello Cirillo, Henrik Pettersson:
A path planning and path-following control framework for a general 2-trailer with a car-like tractor. - Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Identifying disease-free chest X-ray images with deep transfer learning. - Katherine Metcalf, Barry-John Theobald, Garrett Weinberg, Robert Lee, Ing-Marie Jonsson, Russ Webb, Nicholas Apostoloff:
Mirroring to Build Trust in Digital Assistants. - Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan:
Activity Driven Weakly Supervised Object Detection. - Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-supervised Transfer Learning. - Johannes Schöning, Brent J. Hecht, Martin Raubal, Antonio Krüger, Meredith Marsh, Michael Rohs:
Improving Interaction with Virtual Globes through Spatial Thinking: Helping Users Ask "Why?". - Marcus Soll, Philipp Naumann, Johannes Schöning, Pavel Andreevich Samsonov, Brent J. Hecht:
Helping Computers Understand Geographically-Bound Activity Restrictions. - Thomas Stockx, Brent J. Hecht, Johannes Schöning:
SubwayPS: Towards Enabling Smartphone Positioning in Underground Public Transportation Systems. - Jan Jakubuv, Josef Urban:
Hammering Mizar by Learning Clause Guidance. - Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova:
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others. - Jeremy Nixon, Mike Dusenberry, Linchuan Zhang, Ghassen Jerfel, Dustin Tran:
Measuring Calibration in Deep Learning. - Helena Webb, Jason R. C. Nurse, Louise Bezuidenhout, Marina Jirotka:
Lab Hackathons to Overcome Laboratory Equipment Shortages in Africa: Opportunities and Challenges. - Hanlin Li, Bodhi Alarcon, Sara Milkes Espinosa, Brent J. Hecht:
Out of Site: Empowering a New Approach to Online Boycotts. - Brent J. Hecht, Darren Gergle:
The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context. - Jason Ku, Alex D. Pon, Steven L. Waslander:
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. - Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez:
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis. - Volodymyr Yu. Sokolov, Davyd M. Kurbanmuradov:
Method of Counteraction in Social Engineering on Information Activity Objectives. - Shu Kong, Charless C. Fowlkes:
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos. - Nina Wenig, Dirk Wenig, Steffen Ernst, Rainer Malaka, Brent J. Hecht, Johannes Schöning:
Pharos: improving navigation instructions on smartwatches by including global landmarks. - Muhammad Usman Riaz, Hamdan Awan, Chun Tung Chou:
Using spatial partitioning to reduce the bit error rate of diffusion-based molecular communications. - Xu Xie, Hangxin Liu, Zhenliang Zhang, Yuxing Qiu, Feng Gao, Siyuan Qi, Yixin Zhu, Song-Chun Zhu:
VRGym: A Virtual Testbed for Physical and Interactive AI. - Maksym Vladymyrenko, Volodymyr Sokolov, Volodymyr Astapenya:
Research of Stability in Ad Hoc Self-Organizated Wireless Networks. - G. Dias Pais, Pedro Miraldo, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa:
3DRegNet: A Deep Neural Network for 3D Point Registration. - Michael Klachko, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Improving Noise Tolerance of Mixed-Signal Neural Networks. - Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy:
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. - Borzoo Rassouli, Fernando E. Rosas, Deniz Gündüz:
Data Disclosure under Perfect Sample Privacy. - Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness. - Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Empirical Evaluations of Active Learning Strategies in Legal Document Review. - Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh:
Neural Program Repair by Jointly Learning to Localize and Repair. - Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao:
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. - Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao:
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. - Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao:
Empirical Study of Deep Learning for Text Classification in Legal Document Review. - Han Qin, Kit Riehle, Haozhen Zhao:
Using Google Analytics to Support Cybersecurity Forensics. - Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano:
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks. - Shaoying Wang, Hanjiang Lai, Yifan Yang, Jian Yin:
Deep Policy Hashing Network with Listwise Supervision. - Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Duy T. Ngo:
Sequencing and Scheduling for Multi-User Machine-Type Communication. - Ida Syafiza M. Isa, Mohamed O. I. Musa, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient and Resilient Infrastructure for Fog Computing Health Monitoring Applications. - Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu:
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. - Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Carlos Juliano M. Viana:
Testing Self-Organizing Multiagent Systems. - Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang:
SADIH: Semantic-Aware DIscrete Hashing. - Javier Hernandez-Ortega, Javier Galbally, Julian Fiérrez, Rudolf Haraksim, Laurent Beslay:
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning. - Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao:
On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning. - Sze-Teng Liong, Yee Siang Gan, Danna Zheng, Shu-Meng Lic, Hao-Xuan Xua, Han-Zhe Zhang, Ran-Ke Lyu, Kun-Hong Liu:
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System. - Ting Sun, Lei Tai, Zhihan Gao, Ming Liu, Dit-Yan Yeung:
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. - Cheng Tang:
Exponentially convergent stochastic k-PCA without variance reduction. - Benjamin Loriot, Fernanda Madeiral, Martin Monperrus:
Styler: Learning Formatting Conventions to Repair Checkstyle Errors. - Lin Wu, Richang Hong, Yang Wang, Meng Wang:
Cross-Entropy Adversarial View Adaptation for Person Re-identification. - Hootan Alavizadeh, Hooman Alavizadeh, Dong Seong Kim, Julian Jang-Jaccard, Masood Niazi Torshiz:
An Automated Security Analysis Framework and Implementation for Cloud. - Lipu Zhou, Shengze Wang, Jiamin Ye, Michael Kaess:
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. - Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox:
Neural Autonomous Navigation with Riemannian Motion Policy. - Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. - Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry S. Davis:
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning. - Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang:
Target-Aware Deep Tracking. - Atsuhiro Noguchi, Tatsuya Harada:
Image Generation from Small Datasets via Batch Statistics Adaptation. - Krishna Somandepalli, Naveen Kumar, Ruchir Travadi, Shrikanth S. Narayanan:
Multimodal Representation Learning using Deep Multiset Canonical Correlation. - Heng Wang, Mingzhi Mao:
Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning. - Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian:
Recognition of Advertisement Emotions with Application to Computational Advertising. - Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li:
Conditional Adversarial Generative Flow for Controllable Image Synthesis. - Jinbin Zhang, Heng Wang:
Multi-task Learning for Chinese Word Usage Errors Detection. - Yuning Chai:
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams. - Shichen Liu, Tianye Li, Weikai Chen, Hao Li:
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning. - Daichi Nishio, Satoshi Yamane:
Random Projection in Neural Episodic Control. - Michael P. Kim, Aleksandra Korolova, Guy N. Rothblum, Gal Yona:
Preference-Informed Fairness. - Ty Nguyen, Tolga Özaslan, Ian D. Miller, James Keller, Shreyas S. Shivakumar, Giuseppe Loianno, Camillo J. Taylor, Vijay Kumar, Joseph H. Harwood, Jennifer M. Wozencraft:
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks. - Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang:
Correlation Congruence for Knowledge Distillation. - Xiangtai Li, Houlong Zhao, Lei Han, Yunhai Tong, Kuiyuan Yang:
GFF: Gated Fully Fusion for Semantic Segmentation. - Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin:
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer. - Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham:
SFNet: Learning Object-aware Semantic Correspondence. - Charles K. Chui, Shao-Bo Lin, Ding-Xuan Zhou:
Deep Neural Networks for Rotation-Invariance Approximation and Learning. - Kyung-Su Kim, Sae-Young Chung:
Bayesian Approach with Extended Support Estimation for Sparse Regression. - Marcin Pikus, Wen Xu:
Arithmetic Coding Based Multi-Composition Codes for Bit-Level Distribution Matching. - Quynh Ngoc Thi Do, Judith Gaspers:
Cross-lingual transfer learning for spoken language understanding. - Mohammad Riyaz Belgaum, Shahrulniza Musa, Mazliham Mohd Su'ud, Muhammad Alam, Safeeullah Soomro, Zainab Alansari:
Secured Approach Towards Reactive Routing Protocols Using Triple Factor in Mobile Adhoc Networks. - Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li:
Unsupervised Deep Tracking. - Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang:
Learning Context Graph for Person Search. - Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao:
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. - Shugang Hao, Lingjie Duan:
Economics of Age of Information Management under Network Externalities. - Mythra V. Balakuntala, L. N. Vishnunandan Venkatesh, Jyothsna Padmakumar Bindu, Richard M. Voyles:
Self-Evaluation in One-Shot Learning from Demonstration of Contact-Intensive Tasks. - José Luís Barros Justo, Luisa Rincón, Ángela Villota, Wesley K. G. Assunção:
Adopting a software product line engineering approach in industrial development contexts: A protocol for a systematic literature review. - Seyed Amin Tabatabaei, Xixi Lu, Mark Hoogendoorn, Hajo A. Reijers:
Identifying Patient Groups based on Frequent Patterns of Patient Samples. - Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. - Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao:
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. - Hlib Babii, Andrea Janes, Romain Robbes:
Modeling Vocabulary for Big Code Machine Learning. - Tatiana Tatarenko, Maryam Kamgarpour:
Learning Nash Equilibria in Monotone Games. - Ivan Bravi, Simon M. Lucas, Diego Perez Liebana, Jialin Liu:
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. - Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-aware Domain Adaptation in Semantic Segmentation. - Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry. - (Withdrawn) Semantic Bilinear Pooling for Fine-Grained Recognition.
- Tobias Eichinger, Felix Beierle, Sumsam Ullah Khan, Robin Middelanis, Veeraraghavan Sekar, Sam Tabibzadeh:
affinity: A System for Latent User Similarity Comparison on Texting Data. - Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What is wrong with scene text recognition model comparisons? dataset and model analysis. - Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet:
Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP. - Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. - Sudhir R. Ghorpade, Trygve Johnsen:
A Polymatroid Approach to Generalized Weights of Rank Metric Codes. - Paolo Vecchiotti, Ning Ma, Stefano Squartini, Guy J. Brown:
End-to-end Binaural Sound Localisation from the Raw Waveform. - Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala:
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis. - Bernhard Gäde, Ali Bereyhi, Saba Asaad, Ralf R. Müller:
A Fair Comparison Between Spatial Modulation and Antenna Selection in Massive MIMO Systems. - Henri Schmidt, Jack Terwilliger, Dina Aladawy, Lex Fridman:
Hacking Nonverbal Communication Between Pedestrians and Vehicles in Virtual Reality. - Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao:
Personalized Bundle List Recommendation. - Chao Ning, Fengqi You:
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming. - Matteo Bernardini, Diego Pennino, Maurizio Pizzonia:
Blockchains Meet Distributed Hash Tables: Decoupling Validation from State Storage. - Mohammad Maroufi, Reza Abdolee, Behzad Mozaffari Tazehkand:
On the Convergence of Blockchain and Internet of Things (IoT) Technologies. - Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. - Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. - Nataliya Le Vine, Matthew Zeigenfuse, Mark Rowan:
Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms. - Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro:
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study. - Stavros Petridis, Yujiang Wang, Pingchuan Ma, Zuwei Li, Maja Pantic:
End-to-End Visual Speech Recognition for Small-Scale Datasets. - Paul Todorov:
A Game of Dice: Machine Learning and the Question Concerning Art. - Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis:
Rep the Set: Neural Networks for Learning Set Representations. - (Withdrawn) Stacked Semantic-Guided Network for Zero-Shot Sketch-Based Image Retrieval.
- Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye:
D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios. - Zhen Cheng, Xinrui Hou, Runhuai Li, Yajin Zhou, Xiapu Luo, Jinku Li, Kui Ren:
Towards a First Step to Understand the Cryptocurrency Stealing Attack on Ethereum. - Adrià Ciurana, Albert Mosella-Montoro, Javier Ruiz Hidalgo:
Hybrid Cosine Based Convolutional Neural Networks. - Manuel Mager, Özlem Çetinoglu, Katharina Kann:
Subword-Level Language Identification for Intra-Word Code-Switching. - Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang:
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. - Nabeel Abdur Rehman, Umar Saif, Rumi Chunara:
Deep Landscape Features for Improving Vector-borne Disease Prediction. - Kareem Darwish, Peter Stefanov, Michaël J. Aupetit, Preslav Nakov:
Unsupervised User Stance Detection on Twitter. - Guy W. Cole, Sinead A. Williamson:
Stochastic Blockmodels with Edge Information. - Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen:
Jointly Extracting and Compressing Documents with Summary State Representations. - James Seale Smith, Seth Baer, Zsolt Kira, Constantine Dovrolis:
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies. - Jiayu Li, Ling Xu, Ping Lu, Tingting Liu, Zhihong Zhuang, Jinsong Hu, Feng Shu, Jiangzhou Wang:
Performance Analysis of Directional Modulation with Finite-quantized RF Phase Shifters in Analog Beamforming Structure. - Maarten Vandersteegen, Kristof Van Beeck, Toon Goedemé:
Super accurate low latency object detection on a surveillance UAV. - Tobias Friedrich, Ralf Rothenberger:
The Satisfiability Threshold for Non-Uniform Random 2-SAT. - José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera:
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. - Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang:
OpBerg: Discovering causal sentences using optimal alignments. - Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi:
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. - Hanna Geppert, Martin Wilhelm:
Internal versus external balancing in the evaluation of graph-based number types. - Marcel Bollmann:
A Large-Scale Comparison of Historical Text Normalization Systems. - Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchell, Zita Marinho:
Automated Fact Checking in the News Room. - Qinbing Fu, Hongxin Wang, Cheng Hu, Shigang Yue:
Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review. - Marco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman:
A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions. - Philipp M. Maier, Sina Keller:
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models. - Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin:
Interpreting Adversarial Examples by Activation Promotion and Suppression. - Dane Taylor, Mason A. Porter, Peter J. Mucha:
Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks. - Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun:
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. - Zhijun Yin, Lijun Song, Ellen Wright Clayton, Bradley A. Malin:
Health and Kinship Matter: Learning About Direct-To-Consumer Genetic Testing User Experiences via Online Discussions. - Mario Mastriani:
Teleporting digital images. - Beatriz Soret, Petar Popovski, Kristoffer Stern:
A queueing approach to the latency of decoupled UL/DL with flexible TDD and asymmetric services. - Fernando Alves, Aurélien Bettini, Pedro Miguel Ferreira, Alysson Bessani:
Processing Tweets for Cybersecurity Threat Awareness. - Qinbing Fu, Nicola Bellotto, Huatian Wang, F. Claire Rind, Hongxin Wang, Shigang Yue:
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios. - Xun Xu, Loong-Fah Cheong, Zhuwen Li:
Learning for Multi-Type Subspace Clustering. - Binh-Minh Bui-Xuan, Pierre Meyer, Antoine Roux:
Lightweight FEC: Rectangular Codes with Minimum Feedback Information. - Peng-Cheng Lin, Wan-Lei Zhao:
A Comparative Study on Hierarchical Navigable Small World Graphs. - Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Symbolic Exact Inference for Discrete Probabilistic Programs. - Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco-Ruiz, Joana Panos-Willuhn, Monique M. B. Breteler, Martin Reuter:
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. - Junlin Zhao, Deniz Gündüz, Osvaldo Simeone, David Gómez-Barquero:
Non-Orthogonal Unicast and Broadcast Transmission via Joint Beamforming and LDM in Cellular Networks. - Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices. - Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke:
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes. - Katsuhiko Yamamoto, Toshio Irino, Shoko Araki, Keisuke Kinoshita, Tomohiro Nakatani:
GEDI: Gammachirp Envelope Distortion Index for Predicting Intelligibility of Enhanced Speech. - Daniel Kondratyuk:
75 Languages, 1 Model: Parsing Universal Dependencies Universally. - Muhammad Ali, Stavros Shiaeles, Maria Papadaki, Bogdan V. Ghita:
Agent-based Vs Agent-less Sandbox for Dynamic Behavioral Analysis. - Wentong Liao, Cuiling Lan, Wenjun Zeng, Michael Ying Yang, Bodo Rosenhahn:
Exploring the Semantics for Visual Relationship Detection. - Zackory Erickson, Henry M. Clever, Vamsee Gangaram, Greg Turk, C. Karen Liu, Charles C. Kemp:
Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing. - Loïc Landrieu, Mohamed Boussaha:
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning. - Karl Däubel:
An Improved Upper Bound for the Ring Loading Problem. - Ashu Sharma, Sanjay Kumar Sahay:
Group-wise classification approach to improve Android malicious apps detection accuracy. - Prasad Jayanti, Siddhartha V. Jayanti, Anup Joshi:
Recoverable Mutual Exclusion with Sub-logarithmic RMR Complexity on CC and DSM machines. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
An Optimal Iterative Placement Algorithm for PIR from Heterogeneous Storage-Constrained Databases. - Yuying Zhu, Guoxin Wang, Börje F. Karlsson:
CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition. - Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum:
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. - Jianbo Chen, Michael I. Jordan:
Boundary Attack++: Query-Efficient Decision-Based Adversarial Attack. - Ben Smyth:
TLS 1.3 for engineers: An exploration of the TLS 1.3 specification and Oracle's Java implementation. - Alexandra M. Porter, Mary Wootters:
Embedded Index Coding. - Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu:
Probing Biomedical Embeddings from Language Models. - Krishna Prasad Gnawali, Seyed Nima Mozaffari, Spyros Tragoudas:
Low Power Artificial Neural Network Architecture. - Anirban Bhattacharjee, Yogesh D. Barve, Aniruddha Gokhale, Takayuki Kuroda:
CloudCAMP: Automating Cloud Services Deployment and Management. - Cathrin Elich, Francis Engelmann, Jonas Schult, Theodora Kontogianni, Bastian Leibe:
3D-BEVIS: Birds-Eye-View Instance Segmentation. - Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex:
Differentially Private Model Publishing for Deep Learning. - Biao Jia, Chen Fang, Jonathan Brandt, Byungmoon Kim, Dinesh Manocha:
PaintBot: A Reinforcement Learning Approach for Natural Media Painting. - Pravakar Roy, Nicolai Häni, Volkan Isler:
Semantics-Aware Image to Image Translation and Domain Transfer. - Nadav Dym, Shahar Ziv Kovalsky:
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. - David Hartmann, Michael Wand:
Progressive Stochastic Binarization of Deep Networks. - Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor:
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning. - Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky:
Massively Multilingual Adversarial Speech Recognition. - Bharat Joshi, Sharmin Rahman, Michail Kalaitzakis, Brennan Cain, James Johnson, Marios Xanthidis, Nare Karapetyan, Alan Hernandez, Alberto Quattrini Li, Nikolaos I. Vitzilaios, Ioannis M. Rekleitis:
Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain. - Hanchao Li, Pengfei Xiong, Haoqiang Fan, Jian Sun:
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation. - Peter Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang:
Decomposing Temperature Time Series with Non-Negative Matrix Factorization. - Maria Pittou, George Rahonis:
Architecture specification of parametric component-based systems. - Wissam Bejjani, Mehmet Remzi Dogar, Matteo Leonetti:
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning. - Erik Conser, Kennedy Hahn, Chandler M. Watson, Melanie Mitchell:
Revisiting Visual Grounding. - Peter Potash:
The Effect of Downstream Classification Tasks for Evaluating Sentence Embeddings. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. - Alexander Peysakhovich, Christian Kroer, Adam Lerer:
Robust Multi-agent Counterfactual Prediction. - Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky:
Hyperbolic Image Embeddings. - Xuhao Chen:
GraphCage: Cache Aware Graph Processing on GPUs. - Adam Nyberg, Abdelrahman Eldesokey, David Bergström, David Gustafsson:
Unpaired Thermal to Visible Spectrum Transfer using Adversarial Training. - Hikaru Omori, Mamoru Komachi:
Multi-task Learning for Japanese Predicate Argument Structure Analysis. - Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova:
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. - Rohan Chabra, Julian Straub, Chris Sweeney, Richard A. Newcombe, Henry Fuchs:
StereoDRNet: Dilated Residual Stereo Net. - Alex Alspach, Kunimatsu Hashimoto, Naveen Kuppuswamy, Russ Tedrake:
Soft-bubble: A highly compliant dense geometry tactile sensor for robot manipulation. - Maani Ghaffari Jadidi, William A. Clark, Anthony M. Bloch, Ryan M. Eustice, Jessy W. Grizzle:
Continuous Direct Sparse Visual Odometry from RGB-D Images. - Youren Hu, Xiao-Shan Gao:
Tropical Differential Groebner Basis. - Fengwen Chen, Shirui Pan, Jing Jiang, Huan Huo, Guodong Long:
DAGCN: Dual Attention Graph Convolutional Networks. - Sudha Rao, Hal Daumé III:
Answer-based Adversarial Training for Generating Clarification Questions. - Alireza Heidari, Joshua McGrath, Ihab F. Ilyas, Theodoros Rekatsinas:
HoloDetect: Few-Shot Learning for Error Detection. - Jianliang Gao, Noureddin Sadawi, Ibrahim Karaman, Jake T. M. Pearce, Pablo A. Moreno, Anders Larsson, Marco Capuccini, Paul Elliott, Jeremy K. Nicholson, Timothy M. D. Ebbels, Robert C. Glen:
Metabolomics in the Cloud: Scaling Computational Tools to Big Data. - Rohit Agrawal:
Concentration of the multinomial in Kullback-Leibler divergence near the ratio of alphabet and sample sizes. - Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz:
Generative Adversarial Networks for text using word2vec intermediaries. - Remi Mir, Bjarke Felbo, Nick Obradovich, Iyad Rahwan:
Evaluating Style Transfer for Text. - Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, Dacheng Tao:
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer. - Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection by Optimizing F-Measures. - Tengfei Zhang, Yue Zhang, Xian Sun, Menglong Yan, Yaoling Wang, Kun Fu:
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images. - Chaitanya Malaviya, Shijie Wu, Ryan Cotterell:
A Simple Joint Model for Improved Contextual Neural Lemmatization. - Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Improved Inference via Deep Input Transfer. - Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, Konrad Paul Körding:
On functions computed on trees. - Mokshay Madiman, Piotr Nayar, Tomasz Tkocz:
Two remarks on generalized entropy power inequalities. - (Withdrawn) Comparison Network for One-Shot Conditional Object Detection.
- Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer:
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. - Kristjan Arumae, Fei Liu:
Guiding Extractive Summarization with Question-Answering Rewards. - Youshan Zhang, Brian D. Davison:
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet. - Fred Hohman, Haekyu Park, Caleb Robinson, Duen Horng Chau:
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations. - Yifan Yang, Libing Geng, Hanjiang Lai, Yan Pan, Jian Yin:
Feature Pyramid Hashing. - Jiajie Tong, Huazi Zhang, Lingchen Huang, Xiaocheng Liu, Jun Wang:
An Asymmetric Adaptive SCL Decoder Hardware for Ultra-Low-Error-Rate Polar Codes. - Jiawei Wu, Xin Wang, William Yang Wang:
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. - Robin Scheibler, Nobutaka Ono:
Multi-modal Blind Source Separation with Microphones and Blinkies. - Maruan Al-Shedivat, Ankur P. Parikh:
Consistency by Agreement in Zero-shot Neural Machine Translation. - Chang Xu, Dacheng Tao, Chao Xu:
Multi-View Intact Space Learning. - Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams:
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. - Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi:
Text Generation from Knowledge Graphs with Graph Transformers. - Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig:
Density Matching for Bilingual Word Embedding. - Qianrui Zhang, Haoci Zhang, Thibault Sellam, Eugene Wu:
Mining Precision Interfaces From Query Logs. - (Withdrawn) Preference Neural Network.
- Robin Jia, Cliff Wong, Hoifung Poon:
Document-Level N-ary Relation Extraction with Multiscale Representation Learning. - Yan-Chao Wang, Feng Lin, Hock Soon Seah:
Orthogonal Voronoi Diagram and Treemap. - Zhenguo Yang, Zehang Lin, Min Cheng, Qing Li, Wenyin Liu:
MMED: A Multi-domain and Multi-modality Event Dataset. - Huatian Wang, Qinbing Fu, Hongxin Wang, Jigen Peng, Shigang Yue:
Constant Angular Velocity Regulation for Visually Guided Terrain Following. - Seraphina Goldfarb-Tarrant, Haining Feng, Nanyun Peng:
Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation. - Chaofeng Wang, Zheng Li, Jun Shi:
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network. - Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready:
A Robust Learning Approach to Domain Adaptive Object Detection. - Jin-Yi Cai, Zhiguo Fu, Shuai Shao:
Complexity of Counting Weighted Eulerian Orientations with ARS. - Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang:
Spatiotemporal CNN for Video Object Segmentation. - Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. - Hongsheng Qi, Ian R. Petersen, Guodong Shi:
Measurement-Induced Boolean Dynamics and Controllability for Quantum Networks. - Nikos Leonardos, Stefanos Leonardos, Georgios Piliouras:
Oceanic Games: Centralization Risks and Incentives in Blockchain Mining. - Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Architecture Search of Dynamic Cells for Semantic Video Segmentation. - Yanyao Bian, Changbin Chen, Yongguo Kang, Zhenglin Pan:
Multi-reference Tacotron by Intercross Training for Style Disentangling, Transfer and Control in Speech Synthesis. - Alexandre Boulch:
Generalizing discrete convolutions for unstructured point clouds. - Siyang Song, Enrique Sánchez-Lozano, Linlin Shen, Alan Johnston, Michel F. Valstar:
Inferring Dynamic Representations of Facial Actions from a Still Image. - Chanshin Park, Daniel K. Tettey, Han-Shin Jo:
Artificial Neural Network Modeling for Path Loss Prediction in Urban Environments. - Sannyuya Liu, Zhonghua Yan, Xiufeng Cheng, Liang Zhao:
Non-Bayesian Social Learning with Imperfect Private Signal Structure. - Jiachen Li, Hengbo Ma, Masayoshi Tomizuka:
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning. - Yinyan Zhang, Shuai Li, Bin Xu:
Convergence analysis of beetle antennae search algorithm and its applications. - Prince Zizhuang Wang, William Yang Wang:
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. - Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant:
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks. - Hao Liao, Xiao-Min Huang, Xing-Tong Wu, Ming-Kai Liu, Alexandre Vidmer, Ming-Yang Zhou, Yi-Cheng Zhang:
Enhancing countries' fitness with recommender systems on the international trade network. - Hao Liao, Ming-Kai Liu, Manuel Sebastian Mariani, Ming-Yang Zhou, Xing-Tong Wu:
Temporal similarity metrics for latent network reconstruction: The role of time-lag decay. - Andrea Di Sorbo, Josef Spillner, Gerardo Canfora, Sebastiano Panichella:
"Won't We Fix this Issue?" Qualitative Characterization and Automated Identification of Wontfix Issues on GitHub. - Chinmayananda Arunachala, B. Sundar Rajan:
Optimal Weakly Secure Linear Codes for Some Classes of the Two-Sender Index Coding Problem. - Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Learning to Decipher Hate Symbols. - Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara:
Transfer Learning with Sparse Associative Memories. - Okan Köpüklü, Neslihan Kose, Ahmet Gunduz, Gerhard Rigoll:
Resource Efficient 3D Convolutional Neural Networks. - Khaled M. Elbassioni:
Quasi-polynomial Algorithms for List-coloring of Nearly Intersecting Hypergraphs. - Hongyu Chen, Li Jiang:
GAN-based method for cyber-intrusion detection. - Mika Hirvensalo, Etienne Moutot, Abuzer Yakaryilmaz:
Computational Limitations of Affine Automata. - James Avery, Mark Runciman, Ara Darzi, George P. Mylonas:
Shape Sensing of Variable Stiffness Soft Robots using Electrical Impedance Tomography. - Tatiana Lopez-Guevara, Rita Pucci, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions. - Kai Olav Ellefsen, Jim Tørresen:
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks. - Richard McKinley, Michael Rebsamen, Raphael Meier, Mauricio Reyes, Christian Rummel, Roland Wiest:
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks. - Lucas Gren, Richard Torkar, Robert Feldt:
Work Motivational Challenges Regarding the Interface Between Agile Teams and a Non-Agile Surrounding Organization: A case study. - Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak:
Malware Detection using Machine Learning and Deep Learning. - Lucas Gren, Richard Torkar, Robert Feldt:
The prospects of a quantitative measurement of agility: A validation study on an agile maturity model. - Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao:
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. - Barak Beilin, David Burshtein:
On Polar Coding for Binary Dirty Paper. - Lucas Gren, Richard Torkar, Robert Feldt:
Group Maturity and Agility, Are They Connected? - A Survey Study. - Pieter van Goor, Robert E. Mahony, Tarek Hamel, Jochen Trumpf:
An Equivariant Observer Design for Visual Localisation and Mapping. - Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao:
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification. - Lucas Gren, Alfredo Goldman:
Useful Statistical Methods for Human Factors Research in Software Engineering: A Discussion on Validation with Quantitative Data. - Neeru Dubey, Shreya Ghosh, Abhinav Dhall:
Unsupervised Learning of Eye Gaze Representation from the Web. - Konstantinos Chronis, Lucas Gren:
Agility Measurements Mismatch: A Validation Study on Three Agile Team Assessments in Software Engineering. - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili, Massimo Piccardi:
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems. - Damien Sileo, Tim Van de Cruys, Camille Pradel, Philippe Muller:
Composition of Sentence Embeddings: Lessons from Statistical Relational Learning. - Lucas Gren:
The Systems Approach to Change and the Agile Software Development Context. - Lucas Gren, Alfredo Goldman:
Trying to Increase the Mature Use of Agile Practices by Group Development Psychology Training - An Experiment. - Lucas Gren, Richard Torkar, Robert Feldt:
Group development and group maturity when building agile teams: A qualitative and quantitative investigation at eight large companies. - Evgeny Bobrov, Antonio Bucchiarone, Alfredo Capozucca, Nicolas Guelfi, Manuel Mazzara, Alexandr Naumchev, Larisa Safina:
DevOps and its Philosophy : Education Matters! - Lucas Gren:
A fourth explanation to Brooks' Law - The aspect of group developmental psychology. - E. B. Yudin:
Growing graphs with addition of communities. - Lucas Gren, Richard Berntsson-Svensson, Michael Unterkalmsteiner:
Is it Possible to Disregard Obsolete Requirements? - An Initial Experiment on a Potentially New Bias in Software Effort Estimation. - Jacopo Castellini:
Learning Numeracy: Binary Arithmetic with Neural Turing Machines. - V. N. Zadorozhnyi, E. B. Yudin:
The investigation of social networks based on multi-component random graphs. - David Puljiz, Katharina S. Riesterer, Björn Hein, Torsten Kröger:
Referencing between a Head-Mounted Device and Robotic Manipulators. - Yu Zeng, Ahmed N. Al-Quzweeni, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient virtualization framework for 5G F-RAN. - M. N. Yudina, V. N. Zadorozhnyi, E. B. Yudin:
Mixed Random Sampling of Frames method for counting number of motifs. - John Mitros, Brian Mac Namee:
A Categorisation of Post-hoc Explanations for Predictive Models. - Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan:
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. - Md Rushdie Ibne Islam, Ankur Bansal, Chong Peng:
Numerical Simulation of Metal Machining Process with Eulerian and Total Lagrangian SPH. - Mikhail Y. R. Gadelha, Felipe R. Monteiro, Enrico Steffinlongo, Lucas C. Cordeiro, Denis A. Nicole:
Beyond k-induction: Learning from Counterexamples to Bidirectionally Explore the State Space. - Luis Barba, Alexander Pilz, Patrick Schnider:
Sharing a pizza: bisecting masses with two cuts. - Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. - Cheng Deng, Zhao Li, Xinbo Gao, Dacheng Tao:
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics. - Pavel Rojtberg, Benjamin Audenrith:
x3ogre: Connecting X3D to a state of the art rendering engine. - Eric Heim:
Constrained Generative Adversarial Networks for Interactive Image Generation. - Armelle Brun, Geoffray Bonnin, Sylvain Castagnos, Azim Roussanaly, Anne Boyer:
Learning Analytics Made in France: The METALproject. - S. Hamidreza Kasaei, Nima Shafii, Luís Seabra Lopes, Ana Maria Tomé:
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation. - Elisa Tonello, Heike Siebert:
Boolean analysis of lateral inhibition. - Seth R. Johnson, Andrey Prokopenko, Katherine J. Evans:
Automated Fortran-C++ Bindings for Large-Scale Scientific Applications. - Lisa Beinborn, Samira Abnar, Rochelle Choenni:
Robust Evaluation of Language-Brain Encoding Experiments. - Arnaud Dapogny, Kevin Bailly, Matthieu Cord:
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. - Minye Wu, Haibin Ling, Ning Bi, Shenghua Gao, Hao Sheng, Jingyi Yu:
Generic Multiview Visual Tracking. - Joachim Parrow, Johannes Borgström, Lars-Henrik Eriksson, Ramunas Gutkovas, Tjark Weber:
Modal Logics for Nominal Transition Systems. - Akihiro Nakamura, Michihiro Kobayashi:
Noise-Level Estimation from Single Color Image Using Correlations Between Textures in RGB Channels. - Vijaya Yajnanarayana, Henrik Rydén, László Hévizi, Ankit Jauhari, Mirsad Cirkic:
5G Handover using Reinforcement Learning. - Zhenzhen Dai, Eric Nathan Carver, Chang Liu, Joon Lee, Aharon Feldman, Weiwei Zong, Milan Pantelic, Mohamed Elshaikh, Ning Wen:
Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN. - Mirko Gschwindt, Efe Camci, Rogerio Bonatti, Wenshan Wang, Erdal Kayacan, Sebastian A. Scherer:
Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography. - Abhishek Agarwal, Jianhao Peng, Olgica Milenkovic:
Online Convex Dictionary Learning. - Fatemeh Keshavarz-Kohjerdi, Ruo-Wei Hung:
The Hamiltonicity, Hamiltonian Connectivity, and Longest (s, t)-path of L-shaped Supergrid Graphs. - Mauro Carlo Beltrametti, Cristina Campi, Anna Maria Massone, Maria-Laura Torrente:
Geometry of the Hough transforms with applications to synthetic data. - Rui Ma, Amal A. Alahmadi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Software Matching in Vehicular Fog. - Vipul Raheja, Joel R. Tetreault:
Dialogue Act Classification with Context-Aware Self-Attention. - Shuai D. Han, Jingjin Yu:
DDM*: Fast Near-Optimal Multi-Robot Path Planning using Diversified-Path and Optimal Sub-Problem Solution Database Heuristics. - Xin Chen, Anqi Pang, Yu Zhu, Yuwei Li, Xi Luo, Ge Zhang, Peihao Wang, Yingliang Zhang, Shiying Li, Jingyi Yu:
Towards 3D Human Shape Recovery Under Clothing. - Xiangling Li, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge:
Maritime Coverage Enhancement Using UAVs Coordinated with Hybrid Satellite-Terrestrial Networks. - Moonjeong Park, Jun-Gi Jang, Lee Sael:
VeST: Very Sparse Tucker Factorization of Large-Scale Tensors. - Zhang Chen, Yu Ji, Mingyuan Zhou, Sing Bing Kang, Jingyi Yu:
3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights. - Yuying Chen, Haoyang Ye, Ming Liu:
Hierarchical Trajectory Planning for Autonomous Driving in Low-speed Driving Scenarios Based on RRT and Optimization. - Lenore Mullin, Paul Sebexen:
MoA Interpretation of the Iterative Conjugate Gradient Method with Psi Reduction - A Tutorial to teach the Mathematically literate in Linear and Tensor Algebra: Part I. - Yi Jiang, Elliot Padgett, Robert Hovden, David A. Muller:
Sampling Limits for Electron Tomography with Sparsity-exploiting Reconstructions. - Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen:
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. - Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert:
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. - Silvio Olivastri, Gurkirt Singh, Fabio Cuzzolin:
An End-to-End Baseline for Video Captioning. - Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens:
A Learned Representation for Scalable Vector Graphics. - Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi:
Clinically Accurate Chest X-Ray Report Generation. - Abdulelah Abuabat, Peter Brusilovsky:
Sequence Analysis of Learning Behavior in Different Consecutive Activities. - Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. - Eric Mitchell, Stefan Keselj, Sergiy Popovych, Davit Buniatyan, H. Sebastian Seung:
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision. - Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra:
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. - Daniel T. Chang:
Tiered Latent Representations and Latent Spaces for Molecular Graphs. - Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu:
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning. - Noelia Oses, Aritz Legarretaetxebarria, Marco Quartulli, Igor García, Mikel Serrano:
Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range. - Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
On Direct Distribution Matching for Adapting Segmentation Networks. - Alexander LeClair, Collin McMillan:
Recommendations for Datasets for Source Code Summarization. - Luca Ferrarini, Giuseppe Mazzuoccolo, Vahan Mkrtchyan:
Normal 5-edge-colorings of a family of Loupekhine snarks. - Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri:
Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings. - Chih-Wei Hsu, Branislav Kveton, Ofer Meshi, Martin Mladenov, Csaba Szepesvári:
Empirical Bayes Regret Minimization. - Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra:
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples. - Akbar Dehghani, Tristan Glatard, Emad Shihab:
Subject Cross Validation in Human Activity Recognition. - Nelson F. Liu, Roy Schwartz, Noah A. Smith:
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. - Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar:
What Twitter Profile and Posted Images Reveal About Depression and Anxiety. - Sharath Chandra Guntuku, Mingyang Li, Louis Tay, Lyle H. Ungar:
Studying Cultural Differences in Emoji Usage across the East and the West. - John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli:
Deep Multi-class Adversarial Specularity Removal. - Wu Jionghao:
UU-Nets Connecting Discriminator and Generator for Image to Image Translation. - Jesse Vig:
Visualizing Attention in Transformer-Based Language Representation Models. - Nora Hollenstein, Maria Barrett, Marius Troendle, Francesco Bigiolli, Nicolas Langer, Ce Zhang:
Advancing NLP with Cognitive Language Processing Signals. - Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video. - Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. - Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT: Real-time Instance Segmentation. - Alexandre Moreira Nascimento, Lucio Flavio Vismari, Caroline Bianca Santos Tancredi Molina, Paulo Sérgio Cugnasca, João Batista Camargo Jr., Jorge Rady de Almeida Jr., Rafia Inam, Elena Fersman, Maria V. Marquezini, Alberto Y. Hata:
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety. - Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic:
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor. - Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin:
Libra R-CNN: Towards Balanced Learning for Object Detection. - Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. - Jiayuan Zhou, Shaowei Wang, Cor-Paul Bezemer, Ying Zou, Ahmed E. Hassan:
Bounties in Open Source Development on GitHub: A Case Study of Bountysource Bounties. - Jacques Carette, William M. Farmer:
Towards Specifying Symbolic Computation. - Lewis O'Sullivan, Shane Steinert-Threlkeld:
Neural Models of the Psychosemantics of 'Most'. - Jingjing Bu, Afshin Mesbahi, Mehran Mesbahi:
On Topological and Metrical Properties of Stabilizing Feedback Gains: the MIMO Case. - Eric Osterweil, Angelos Stavrou, Lixia Zhang:
20 Years of DDoS: a Call to Action. - Ana Paula Chaves, Marco Aurélio Gerosa:
How should my chatbot interact? A survey on human-chatbot interaction design. - Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin:
Learning to Cluster Faces on an Affinity Graph. - Sergey Zakharov, Wadim Kehl, Slobodan Ilic:
DeceptionNet: Network-Driven Domain Randomization. - Soham Ghosh, Anuva Agarwal, Zarana Parekh, Alexander G. Hauptmann:
ExCL: Extractive Clip Localization Using Natural Language Descriptions. - Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Blind Visual Motif Removal from a Single Image. - Rens Hoegen, Deepali Aneja, Daniel McDuff, Mary Czerwinski:
An End-to-End Conversational Style Matching Agent. - Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin:
Learning Implicit Generative Models by Matching Perceptual Features. - Brad Shutters, Timothy P. Hartke Jr., Robert J. Sammelson:
Compact Error-Resilient Self-Assembly of Recursively Defined Patterns. - Andrew Patterson, Arun Lakshmanan, Naira Hovakimyan:
Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification. - Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch:
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. - Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. - Craig Wilson, Yuheng Bu, Venugopal V. Veeravalli:
Adaptive Sequential Machine Learning. - Viresh Ranjan, Mubarak Shah, Minh Hoai Nguyen:
Crowd Transformer Network. - Zhiguo Ding, Robert Schober, Pingzhi Fan, H. Vincent Poor:
OTFS-NOMA: An Efficient Approach for Exploiting Heterogenous User Mobility Profiles. - Nishant Prateek, Mateusz Lajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood:
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data. - Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang:
Unifying Human and Statistical Evaluation for Natural Language Generation. - Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia:
Affect-Driven Dialog Generation. - Manoj Acharya, Karan Jariwala, Christopher Kanan:
VQD: Visual Query Detection in Natural Scenes. - Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa:
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. - Sanuj Sharma, Prafulla Kumar Choubey, Ruihong Huang:
Improving Dialogue State Tracking by Discerning the Relevant Context. - Jinho Choi:
On Error Rate Analysis for URLLC over Multiple Fading Channels. - Arturo Deza, Amit Surana, Miguel P. Eckstein:
Assessment of Faster R-CNN in Man-Machine collaborative search. - Jeffrey M. Shainline:
Fluxonic Processing of Photonic Synapse Events. - Jean Barbier:
Overlap matrix concentration in optimal Bayesian inference. - Reynald Affeldt, Jacques Garrigue, Xuanrui Qi, Kazunari Tanaka:
Proving tree algorithms for succinct data structures. - Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli:
Video Classification with Channel-Separated Convolutional Networks. - Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. - Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia:
Topic Spotting using Hierarchical Networks with Self Attention. - Xiaochuang Han, Jacob Eisenstein:
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English. - Rui Zhao, David Bieber, Kevin Swersky, Daniel Tarlow:
Neural Networks for Modeling Source Code Edits. - Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. - Juan José Besa Vial, Timothy Johnson, Nil Mamano, Martha C. Osegueda:
Taming the Knight's Tour: Minimizing Turns and Crossings. - Ruchira Sasanka, Konstantinos Krommydas:
An Evolutionary Framework for Automatic and Guided Discovery of Algorithms. - Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao:
A Regularization Approach for Instance-Based Superset Label Learning. - Renato Gasoto, Miles Macklin, Xuan Liu, Yinan Sun, Kenny Erleben, Cagdas D. Onal, Jie Fu:
A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes. - Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. - Md Shahriar Iqbal, Lars Kotthoff, Pooyan Jamshidi:
Transfer Learning for Performance Modeling of Deep Neural Network Systems. - Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. - Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis:
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. - Yudi Chen, Qi Wang, Wenying Ji:
A Bayesian-Based Approach for Public Sentiment Modeling. - Aamodh Suresh, Sonia Martínez:
Planning under risk and uncertainty based on Prospect-theoretic models. - Takuma Ebisu, Ryutaro Ichise:
Graph Pattern Entity Ranking Model for Knowledge Graph Completion. - Jungsik Hwang, Nadine Wirkuttis, Jun Tani:
A Neurorobotics Approach to Investigating the Emergence of Communication in Robots. - Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu:
Deep Tree Learning for Zero-shot Face Anti-Spoofing. - Michael A. Bender, Martin Farach-Colton, William Kuszmaul:
Achieving Optimal Backlog in Multi-Processor Cup Games. - Damien Teney, Anton van den Hengel:
Actively Seeking and Learning from Live Data. - Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. - Boah Kim, Jong Chul Ye:
Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning. - Ga Wu, Buser Say, Scott Sanner:
Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models. - Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal:
An Attentive Survey of Attention Models. - Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. - Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J. Weiss, Ye Jia, Zhifeng Chen, Yonghui Wu:
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech. - Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. - Yadan Luo, Ziwei Wang, Zi Huang, Yang Yang, Huimin Lu:
Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval. - Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo:
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation. - Ravid Cohen, Yossi Yovel, Dan Halperin:
Sensory Regimes of Effective Distributed Searching without Leaders. - Tiago Ribeiro, Ana Paiva:
Nutty-based Robot Animation - Principles and Practices. - Pedro Cisneros-Velarde, Francesco Bullo:
Signed Network Formation Games and Clustering Balance. - Codruta O. Ancuti, Cosmin Ancuti, Mateu Sbert, Radu Timofte:
Dense Haze: A benchmark for image dehazing with dense-haze and haze-free images. - Woon-Sung Park, Munchurl Kim:
Deep Predictive Video Compression with Bi-directional Prediction. - Sungjun Lim, Sang-Eun Lee, Sunghoe Chang, Jong Chul Ye:
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer. - Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun:
Point-to-Point Video Generation. - Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization. - Simon Vandenhende, Bert De Brabandere, Luc Van Gool:
Branched Multi-Task Networks: Deciding What Layers To Share. - Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui:
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough? - Takamasa Okudono, Masaki Waga, Taro Sekiyama, Ichiro Hasuo:
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces. - Krzysztof Grochla, Mariusz Slabicki:
Transmit power optimization in cellular networks with nomadic base stations. - Fedor V. Fomin, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
Reducing Topological Minor Containment to the Unique Linkage Theorem. - Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu:
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection. - Nils Reimers, Iryna Gurevych:
Alternative Weighting Schemes for ELMo Embeddings. - Bestoun S. Ahmed, Miroslav Bures:
EvoCreeper: Automated Black-Box Model Generation for Smart TV Applications. - Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Learning to Adapt for Stereo. - Hyenkyun Woo:
Logitron: Perceptron-augmented classification model based on an extended logistic loss function. - Bestoun S. Ahmed, Luca Maria Gambardella, Kamal Z. Zamli:
A New Approach to Speed up Combinatorial Search Strategies Using Stack and Hash Table. - Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn:
Semantic Attribute Matching Networks. - Henri Riihimäki, Wojciech Chachólski, Jakob Theorell, Jan Hillert, Ryan Ramanujam:
A topological data analysis based classification method for multiple measurements. - Samuel Pecar, Marián Simko, Mária Bieliková:
NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining. - Sören Laue:
On the Equivalence of Forward Mode Automatic Differentiation and Symbolic Differentiation. - Albert Atserias, Moritz Müller:
Automating Resolution is NP-Hard. - Bruno Vieira, Ricardo Severino, Anis Koubaa, Eduardo Tovar:
Towards a Realistic Simulation Framework for Vehicular Platooning Applications. - Victor Prokhorov, Mohammad Taher Pilehvar, Nigel Collier:
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models. - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen:
Relation-Aware Global Attention. - Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall:
What Object Should I Use? - Task Driven Object Detection. - Yunlong Liu, Jianyang Zheng:
Combining Offline Models and Online Monte-Carlo Tree Search for Planning from Scratch. - Gjorgji Strezoski, Nanne van Noord, Marcel Worring:
Learning Task Relatedness in Multi-Task Learning for Images in Context. - Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang:
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning. - Fatemeh Rajabi-Alni, Alireza Bagheri:
A Faster Algorithm for the Limited-Capacity Many-to-Many Point Matching in One Dimension. - Sina Mohseni, Eric D. Ragan, Xia Hu:
Open Issues in Combating Fake News: Interpretability as an Opportunity. - Manuel Mazzara, Antonio Bucchiarone, Nicola Dragoni, Victor Rivera:
Size Matters: Microservices Research and Applications. - Abdellatif Zaidi, Inaki Estella Aguerri:
Optimal Rate-Exponent Region for a Class of Hypothesis Testing Against Conditional Independence Problems. - Tushar Sharma, Vasiliki Efstathiou, Panos Louridas, Diomidis Spinellis:
On the Feasibility of Transfer-learning Code Smells using Deep Learning. - Ryan Shah:
Security Landscape for Robotics. - Shikha Bordia, Samuel R. Bowman:
Identifying and Reducing Gender Bias in Word-Level Language Models. - Nguyen Binh Truong, Kai Sun, Gyu Myoung Lee, Yike Guo:
GDPR-Compliant Personal Data Management: A Blockchain-based Solution. - Soeren Nickel, Martin Nöllenburg:
Drawing k-linear Metro Maps. - Richard McKinley, Lorenz Grunder, Rik Wepfer, Fabian Aschwanden, Tim Fischer, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner:
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. - Friedrich Solowjow, Sebastian Trimpe:
Event-triggered Learning. - Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment. - David Wisth, Marco Camurri, Maurice F. Fallon:
Robust Legged Robot State Estimation Using Factor Graph Optimization. - Pulkit Verma, Rahul Tallamraju, Abhay Rawat, Subhasis Chand, Kamalakar Karlapalem:
Loosely Coupled Payload Transport System with Robot Replacement. - Jonas Cleve, Wolfgang Mulzer:
An Experimental Study of Algorithms for Geodesic Shortest Paths in the Constant-Workspace Model. - Dmytro Shulga, Oleksii Morozov, Volker Roth, Felix Friedrich, Patrick R. Hunziker:
Tensor B-Spline Numerical Methods for PDEs: a High-Performance Alternative to FEM. - Zimin Chen, Martin Monperrus:
A Literature Study of Embeddings on Source Code. - Edwin Simpson, Steven Reece, Stephen J. Roberts:
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources. - Naoya Takahashi, Sudarsanam Parthasaarathy, Nabarun Goswami, Yuki Mitsufuji:
Recursive speech separation for unknown number of speakers. - Md. Kamrul Hasan, Basel Alyafi, Fakrul Islam Tushar:
Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations. - René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. - Brent J. Stone, Scott R. Graham, Barry E. Mullins, Christine M. Schubert-Kabban:
Unsupervised Time Series Extraction from Controller Area Network Payloads. - Michael Möller, Thomas Möllenhoff, Daniel Cremers:
Controlling Neural Networks via Energy Dissipation. - Jukka Soikkeli, Luis Muñoz-González, Emil C. Lupu:
Efficient attack countermeasure selection accounting for recovery and action costs. - Ipek Baris, Lukas Schmelzeisen, Steffen Staab:
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors. - Vivek Balasubramanian, Shantenu Jha, André Merzky, Matteo Turilli:
RADICAL-Cybertools: Middleware Building Blocks for Scalable Science. - Chun-Hung Chao, Yen-Chi Cheng, Hsien-Tzu Cheng, Chi-Wen Huang, Tsung-Ying Ho, Chen-Kan Tseng, Le Lu, Min Sun:
Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network. - Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. - Xiaochao Zhou, Shunchuan Yang, Donglin Su:
A Surface Integral Formulation for Scattering Modeling by 2D Penetrable Objects. - Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. - Luca Giuzzi, Ferdinando Zullo:
Fqn-linear rank distance codes and their distinguishers. - Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Convolutional Self-Attention Networks. - Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab:
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. - Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian:
PoMo: Generating Entity-Specific Post-Modifiers in Context. - Nancy Awad, Bechara al Bouna, Jean-François Couchot, Laurent Philippe:
Safe Disassociation of Set-Valued Datasets. - Yaser Souri, Mohsen Fayyaz, Juergen Gall:
Weakly Supervised Action Segmentation Using Mutual Consistency. - Hans L. Bodlaender, Benjamin A. Burton, Fedor V. Fomin, Alexander Grigoriev:
Knot Diagrams of Treewidth Two. - Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. - Jonathan Bell, Hannah M. Dee:
Leaf segmentation through the classification of edges. - Magdalini Paschali, Muhammad Ferjad Naeem, Walter Simson, Katja Steiger, Martin Mollenhauer, Nassir Navab:
Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks. - Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi:
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. - Te Qi, Bayram Bayramli, Usman Ali, Qinchuan Zhang, Hongtao Lu:
Spatial Shortcut Network for Human Pose Estimation. - Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. - Dhruv Khandelwal, Maarten Schoukens, Roland Tóth:
Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming. - Laura Ana Maria Bostan, Roman Klinger:
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis. - Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic:
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects. - Maoying Qiao, Wei Bian, Richard Yida Xu, Dacheng Tao:
Diversified Hidden Markov Models for Sequential Labeling. - Alexander V. Shvets:
Improving Scientific Article Visibility by Neural Title Simplification. - Moein Shakeri, Hong Zhang:
Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition. - Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick:
Structured agents for physical construction. - Joseph Early:
Reducing catastrophic forgetting when evolving neural networks. - Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. - Valentin Peretroukhin, Brandon Wagstaff, Matthew Giamou, Jonathan Kelly:
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network. - Rameen Abdal, Yipeng Qin, Peter Wonka:
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? - Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille:
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. - Wei Chen, Dan Wang, Sei Zhen Khong, Li Qiu:
Phase Analysis of MIMO LTI Systems. - Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran:
Spectral analysis of matrix scaling and operator scaling. - Andrei A. Krokhin, Jakub Oprsal:
The complexity of 3-colouring H-colourable graphs. - Hermann Blum, Paul-Edouard Sarlin, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation. - Pak Hay Chan, Lap Chi Lau, Aaron Schild, Sam Chiu-wai Wong, Hong Zhou:
Network design for s-t effective resistance. - Parag Agrawal, Anshuman Suri:
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. - Eben Holderness, Philip Cawkwell, Kirsten Bolton, James Pustejovsky, Mei-Hua Hall:
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records. - Amar Chaudhari, Amrita Asthana, Atharva Kaluskar, Dewang Gedia, Lakshay Karani, Levi Perigo, Rahil Gandotra, Sapna Gangwar:
VIVoNet: Visually-represented, Intent-based, Voice-assisted Networking. - Mohsen Raoufi, Ali Emre Turgut, Farshad Arvin:
Self-organized Collective Motion with a Simulated Real Robot Swarm. - Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin:
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. - Yu-An Chung, Wei-Ning Hsu, Hao Tang, James R. Glass:
An Unsupervised Autoregressive Model for Speech Representation Learning. - Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, Christian Szegedy, Stewart Wilcox:
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving (extended version). - Sarthak Jain, Ramin Mohammadi, Byron C. Wallace:
An Analysis of Attention over Clinical Notes for Predictive Tasks. - Nithin Varma, Yuichi Yoshida:
Average Sensitivity of Graph Algorithms. - Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg:
Paying More Attention to Motion: Attention Distillation for Learning Video Representations. - Lawrence J. Trautman, Mason J. Molesky:
A Primer for Blockchain. - Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab:
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles. - Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar:
SysML: The New Frontier of Machine Learning Systems. - Stephen G. Odaibo:
Is 'Unsupervised Learning' a Misconceived Term? - Tarik Tosun, Eric Mitchell, Ben Eisner, Jinwook Huh, Bhoram Lee, Daewon Lee, Volkan Isler, H. Sebastian Seung, Daniel D. Lee:
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner. - Yufang Hou, Debasis Ganguly, Léa A. Deleris, Francesca Bonin:
Extracting Factual Min/Max Age Information from Clinical Trial Studies. - Chen Avin, Stefan Schmid:
ReNets: Toward Statically Optimal Self-Adjusting Networks. - Yu Wang, Alper Kamil Bozkurt, Miroslav Pajic:
Attack-Resilient Supervisory Control of Discrete-Event Systems. - Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann, Mubbasir Kapadia:
Domain Authoring Assistant for Intelligent Virtual Agents. - Yanjun Han, Kedar Tatwawadi, Zhengqing Zhou, Gowtham R. Kurri, Vinod M. Prabhakaran, Tsachy Weissman:
Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. - Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. - Tyler Maunu, Gilad Lerman:
Robust Subspace Recovery with Adversarial Outliers. - Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha:
Synthesized Policies for Transfer and Adaptation across Tasks and Environments. - Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, Michael J. Black:
AMASS: Archive of Motion Capture as Surface Shapes. - Ashwini Challa, Kartikeya Upasani, Anusha Balakrishnan, Rajen Subba:
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems. - Jianren Wang, Yihui He, Xiaobo Wang, Xinjia Yu, Xia Chen:
Prediction-Tracking-Segmentation. - Niluthpol Chowdhury Mithun, Sujoy Paul, Amit K. Roy-Chowdhury:
Weakly Supervised Video Moment Retrieval From Text Queries. - Arijit Ray, Giedrius Burachas, Yi Yao, Ajay Divakaran:
Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation Helpfulness. - Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt:
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations. - Alessandro Achille, Giovanni Paolini, Glen Mbeng, Stefano Soatto:
The Information Complexity of Learning Tasks, their Structure and their Distance. - Chao Tao, Qin Zhang, Yuan Zhou:
Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits. - Md Arif Iqbal, Naveen Kumar Macha, Bhavana Tejaswini Repalle, Mostafizur Rahman:
A Logic Simplification Approach for Very Large Scale Crosstalk Circuit Designs. - Ishan Durugkar, Matthew J. Hausknecht, Adith Swaminathan, Patrick MacAlpine:
Multi-Preference Actor Critic. - Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi:
A General Framework for Information Extraction using Dynamic Span Graphs. - Jinho Choi:
Single-Carrier Index Modulation for IoT Uplink. - Randa A. T. Alani, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Virtual Machines Embedding for Cloud PON AWGR and Server Based Data Centres. - Nargiza Nosirova, Mingbin Xu, Hui Jiang:
A Multi-task Learning Approach for Named Entity Recognition using Local Detection. - Kiran Garimella, Robert West:
Hot Streaks on Social Media. - Urmish Thakker, Ganesh Dasika, Jesse G. Beu, Matthew Mattina:
Measuring scheduling efficiency of RNNs for NLP applications. - Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang, Sudipta N. Sinha:
Revealing Scenes by Inverting Structure from Motion Reconstructions. - Nargiza Nosirova, Mingbin Xu, Hui Jiang:
Effective Context and Fragment Feature Usage for Named Entity Recognition. - Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi, Alexandre Alahi:
Convolutional Relational Machine for Group Activity Recognition. - Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. - Thomas C. Clevenger, Timo Heister, Guido Kanschat, Martin Kronbichler:
A Flexible, Parallel, Adaptive Geometric Multigrid method for FEM. - Tran Tri Dang, Tran Khanh Dang:
A Visual Model for Web Applications Security Monitoring. - Benjamin Plaut:
Optimal Nash Equilibria for Bandwidth Allocation. - Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott:
Publicly Available Clinical BERT Embeddings. - Julius Surya Sumantri, In Kyu Park:
360 Panorama Synthesis from a Sparse Set of Images with Unknown FOV. - Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan:
Load-Balanced Sparse MTTKRP on GPUs. - Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Hamido Fujita, Philip S. Yu:
Correlated Utility-based Pattern Mining. - Cheon-Eum Park, Juae Kim, Hyeon-gu Lee, Reinald Kim Amplayo, Harksoo Kim, Jungyun Seo, Changki Lee:
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples. - Rahim K. Charania:
Exploring and Benchmarking High Performance & Scientific Computing using R R HPC Packages and Lower level compiled languages A Comparative Study. - Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. - Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai:
Progressive Pose Attention Transfer for Person Image Generation. - Nabeel Gillani, Roger Levy:
Simple dynamic word embeddings for mapping perceptions in the public sphere. - Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, Jiangyun Li:
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI. - Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian:
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. - Yuan Gong, Jian Yang, Jacob Huber, Mitchell MacKnight, Christian Poellabauer:
ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems. - Yatri Modi, Natalie Parde:
The Steep Road to Happily Ever After: An Analysis of Current Visual Storytelling Models. - Anthony Manchin, Ehsan Abbasnejad, Anton van den Hengel:
Reinforcement Learning with Attention that Works: A Self-Supervised Approach. - Aftab Anjum, Fengyang Sun, Lin Wang, Jeff Orchard:
A Novel Continuous Representation of Genetic Programmings using Recurrent Neural Networks for Symbolic Regression. - Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane:
Evaluating Coherence in Dialogue Systems using Entailment. - Muming Zhao, Jian Zhang, Chongyang Zhang, Wenjun Zhang:
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks. - Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian:
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling. - Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong:
Blind Super-Resolution With Iterative Kernel Correction. - Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Camera Lens Super-Resolution. - Sijie Song, Wei Zhang, Jiaying Liu, Tao Mei:
Unsupervised Person Image Generation with Semantic Parsing Transformation. - Junjie Hu, Yan Zhang, Takayuki Okatani:
Visualization of Convolutional Neural Networks for Monocular Depth Estimation. - Ulysse Beaugnon, Basile Clément, Nicolas Tollenaere, Albert Cohen:
On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU. - Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei:
Re-Identification Supervised Texture Generation. - Sulaiman Khan, Hazrat Ali, Zahid Ullah, Nasru Minallah, Shahid Maqsood, Abdul Hafeez:
Higher Accurate Recognition of Handwritten Pashto Letters through Zoning Feature by using K-Nearest Neighbour and Artificial Neural Network. - Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi:
Effective and Efficient Dropout for Deep Convolutional Neural Networks. - Amit Moryossef, Yoav Goldberg, Ido Dagan:
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation. - Rui Portocarrero Sarmento:
Idealize - A Notion of Idea Strength. - Francesco Parisi, John Grant:
Inconsistency Measures for Relational Databases. - Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen, Yongtian Wang:
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion. - Shuoyang Ding, Philipp Koehn:
Parallelizable Stack Long Short-Term Memory. - Razvan-Andrei Stoica, Giuseppe Thadeu Freitas de Abreu:
6G: the Wireless Communications Network for Collaborative and AI Applications. - Taehoon Kim, Inkyu Bang:
An Enhanced Random Access with Preamble-Assisted Short-Packet Transmissions for Cellular IoT Communications. - Santiago Pascual, Mirco Ravanelli, Joan Serrà, Antonio Bonafonte, Yoshua Bengio:
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks. - Michalina Strzyz, Carlos Gómez-Rodríguez:
Speeding Up Natural Language Parsing by Reusing Partial Results. - Santiago Pascual, Joan Serrà, Antonio Bonafonte:
Towards Generalized Speech Enhancement with Generative Adversarial Networks. - Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer:
Context-aware Human Motion Prediction. - Boseong Felipe Jeon, H. Jin Kim:
Online Trajectory Generation of a MAV for Chasing a Moving Target in 3D Dense Environments. - Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification. - Somnath Mazumdar, Alberto Scionti:
Ring-Mesh: A Scalable and High-Performance Approach for Manycore Accelerators. - Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang:
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature. - Zhuangkun Wei, Alessio Pagani, Guangtao Fu, Ian Guymer, Wei Chen, Julie A. McCann, Weisi Guo:
Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform. - Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro:
Reinforced Imitation in Heterogeneous Action Space. - José Luis Mancilla-Aguilar, Hernan Haimovich:
Uniform Input-to-State Stability for Switched and Time-Varying Impulsive Systems. - Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization towards Efficient Whitening. - Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak:
Interpolation in generative models. - Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu:
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. - Jian Zhu, Zuoyu Tian, Sandra Kübler:
UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs. - Sounak Dey, Pau Riba, Anjan Dutta, Josep Lladós, Yi-Zhe Song:
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval. - Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. - Wenjing Zhao, Gongpu Wang, Saman Atapattu, Ruisi He, Ying-Chang Liang:
Channel Estimation for Ambient Backscatter Communication Systems with Massive-Antenna Reader. - Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra:
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception. - Nikolaj Tatti, Aristides Gionis:
Density-friendly Graph Decomposition. - Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz:
Deep Stacked Hierarchical Multi-patch Network for Image Deblurring. - Cheng Hu, Yunquan Dong:
Weighted-Sum Average Age of Information in Unilaterally Powered Two-Way Data Exchanging Systems. - Pier Luigi Ventre, Stefano Salsano, Marco Polverini, Antonio Cianfrani, Ahmed Abdelsalam, Clarence Filsfils, Pablo Camarillo, François Clad:
Segment Routing: a Comprehensive Survey of Research Activities, Standardization Efforts and Implementation Results. - Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-guided Hallucination of Samples. - Marcus M. Scheunemann, Kerstin Dautenhahn, Maha Salem, Ben Robins:
Utilizing Bluetooth Low Energy to recognize proximity, touch and humans. - Qiuqiang Kong, Yin Cao, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems. - Mei Wang, Yunquan Dong:
Broadcast Age of Information in CSMA/CA Based Wireless Networks. - Bob Coecke:
The Mathematics of Text Structure. - Yi Liu, Liang He, Jia Liu:
Large Margin Softmax Loss for Speaker Verification. - Jad Hamza, Nicolas Voirol, Viktor Kuncak:
System FR as Foundations for Stainless. - Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. - Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang:
When AWGN-based Denoiser Meets Real Noises. - Themos Stafylakis, Johan Rohdin, Oldrich Plchot, Petr Mizera, Lukás Burget:
Self-supervised speaker embeddings. - Muhammad Saad, Jeffrey Spaulding, Laurent Njilla, Charles A. Kamhoua, Sachin Shetty, DaeHun Nyang, Aziz Mohaisen:
Exploring the Attack Surface of Blockchain: A Systematic Overview. - Rahul-Vigneswaran K, Prabaharan Poornachandran, Soman K. P:
A Compendium on Network and Host based Intrusion Detection Systems. - Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang:
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. - Asad B. Sayeed:
Usability in the Larger Reality: A Contrarian Argument for the Importance of Social and Political Considerations. - Sudhakar Kumawat, Shanmuganathan Raman:
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks. - Yuemeng Li, Hangfan Liu, Yong Fan:
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. - Chih-Yao Chiu, Hwann-Tzong Chen, Tyng-Luh Liu:
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning. - Carina Alves, William Lima da Silva Pinto, Antonio Aparecido de Andrade:
Well-Rounded Lattices via Polynomials. - Dushyantha A. Basnayaka, Tharmalingam Ratnarajah:
Multi-user Communication in Difficult Interference. - Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño, Giovanni Da San Martino, Mitra Mohtarami, Preslav Nakov, James R. Glass:
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection. - Michal Zajac, Konrad Zolna, Stanislaw Jastrzebski:
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift. - Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen:
Instance-Level Meta Normalization. - Aditya Gupta, Greg Durrett:
Tracking Discrete and Continuous Entity State for Process Understanding. - Milod Kazerounian, Sankha Narayan Guria, Niki Vazou, Jeffrey S. Foster, David Van Horn:
Type-Level Computations for Ruby Libraries. - Roee Levy Leshem, Raja Giryes:
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. - Yuxiang Zhou, Jiankang Deng, Irene Kotsia, Stefanos Zafeiriou:
Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders. - Ali Sadeghian, Deoksu Lim, Johan Karlsson, Jian Li:
Automatic Target Recognition Using Discrimination Based on Optimal Transport. - Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis:
Randomised Bayesian Least-Squares Policy Iteration. - Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas:
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. - Yizheng Chen, Shiqi Wang, Dongdong She, Suman Jana:
On Training Robust PDF Malware Classifiers. - Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins:
Spatio-Temporal Attention Pooling for Audio Scene Classification. - Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, Tieniu Tan:
Supervised Discrete Hashing with Relaxation. - Hiroki Tomoe, Tanaka Kanji:
Long-Term Vehicle Localization by Recursive Knowledge Distillation. - Kojima Yusuke, Tanaka Kanji, Naiming Yang, Yuji Hirota:
Scalable Change Retrieval Using Deep 3D Neural Codes. - Kousuke Yamaguchi, Kanji Tanaka, Takuma Sugimoto, Rino Ide, Koji Takeda:
Place-specific Background Modeling Using Recursive Autoencoders. - Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao, Tieniu Tan:
Fast Supervised Discrete Hashing. - Henning Koehler:
A characterization of maximal 2-dimensional subgraphs of transitive graphs. - Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel:
An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem. - Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth:
The Role of Interactivity in Local Differential Privacy. - (Withdrawn) Global Synchronization of Clocks in Directed Rooted Acyclic Graphs: A Hybrid Systems Approach.
- Siwei Ma, Xinfeng Zhang, Chuanmin Jia, Zhenghui Zhao, Shiqi Wang, Shanshe Wang:
Image and Video Compression with Neural Networks: A Review. - Daehyung Park, Yuuna Hoshi, Harshal P. Mahajan, Wendy A. Rogers, Charles C. Kemp:
Toward Active Robot-Assisted Feeding with a General-Purpose Mobile Manipulator: Design, Evaluation, and Lessons Learned. - Feng Shu, Zaoyu Lu, Shuo Zhang, Jin Wang, Xiaobo Zhou, Linlin Sun, Jinhui Lu, Jinyong Lin, Wenlong Cai:
Optimal Power Allocation for Secure Directional Modulation Networks with a Full-duplex UAV User. - Yu Cao, Jian Huang, Dongrui Wu, Mengshi Zhang, Caihua Xiong, Zhijun Li:
Integration of Nonlinear Disturbance Observer within Proxy-based Sliding Mode Control for Pneumatic Muscle Actuators. - Sheng Yang, Guosheng Lin, Qiuping Jiang, Weisi Lin:
A Dilated Inception Network for Visual Saliency Prediction. - Prashanth Gurunath Shivakumar, Mu Yang, Panayiotis G. Georgiou:
Spoken Language Intent Detection using Confusion2Vec. - Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. - Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Jingsong Xu:
Compare More Nuanced: Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning. - Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo:
Multi-Label Image Recognition with Graph Convolutional Networks. - M. Arthur Munson, Jason Kichen, Dustin Hillard, Ashley Fidler, Peiter Zatko:
Reframing Threat Detection: Inside esINSIDER. - Yongli Zhu, Lingpeng Shi, Renchang Dai, Guangyi Liu:
Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing. - Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang:
Modularized Textual Grounding for Counterfactual Resilience. - Tran Thi Phuong, Le Trieu Phong:
On the Convergence Proof of AMSGrad and a New Version. - Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat:
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging. - Eshwar Chandrasekharan, Eric Gilbert:
Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit. - Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, Wei Liu:
Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics. - Quan-Lin Li, Jing-Yu Ma, Yan-Xia Chang, Fan-Qi Ma, Hai-Bo Yu:
Markov Processes in Blockchain Systems. - Narendra Kumar, Abhay Kumar Singh:
The Discussion on Hulls of Cyclic Codes over the Ring Re = Z4+vZ4, v2=v. - Amit Daniely, Yishay Mansour:
Competitive ratio versus regret minimization: achieving the best of both worlds. - Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo:
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction. - Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He:
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. - Mohannad Babli, Eva Onaindia, Eliseo Marzal:
Extending planning knowledge using ontologies for goal opportunities. - Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi:
Normalized Diversification. - Lee-Ad Gottlieb, Yair Bartal:
Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. - Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz:
Recovering Faces from Portraits with Auxiliary Facial Attributes. - Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro:
A Facial Affect Analysis System for Autism Spectrum Disorder. - Yang Zhang, Lantian Li, Dong Wang:
VAE-based regularization for deep speaker embedding. - Varshaneya V, S. Balasubramanian, Vineeth N. Balasubramanian:
Teaching GANs to Sketch in Vector Format. - Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa:
Learning Metrics from Teachers: Compact Networks for Image Embedding. - Guy Hacohen, Daphna Weinshall:
On The Power of Curriculum Learning in Training Deep Networks. - Songtao Liu, Di Huang, Yunhong Wang:
Adaptive NMS: Refining Pedestrian Detection in a Crowd. - Weihong Li, Fa-Ting Hong, Wei-Shi Zheng:
Learning to Learn Relation for Important People Detection in Still Images. - Quentin Betti, Raphaël Khoury, Sylvain Hallé, Benoît Montreuil:
Improving Hyperconnected Logistics with Blockchains and Smart Contracts. - Pieter W. Adriaans:
Semi-Countable Sets and their Application to Search Problems. - Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. - Thomas Anthony, Robert Nishihara, Philipp Moritz, Tim Salimans, John Schulman:
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees. - Irmak Saglam, Ebru Aydin Gol:
Cause Mining and Controller Synthesis with STL. - Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos:
SEQ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression. - Tifenn Hirtzlin, Marc Bocquet, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. - Abdelrahman ElMezain, Mohamed Saleh, Jie Zhang, Ahmed Soliman, Seif Fateen:
Optimal control of batch processes via a deterministic Q-learning method. - Weina Jin, Alissa Nicole Antle, Diane Gromala:
Ride N' Rhythm, Bike as an Embodied Musical Instrument to Improve Music Perception for Young Children. - Tian Lin, Yu Zhu:
Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning. - Dieter Büchler, Roberto Calandra, Jan Peters:
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. - Thanh Huy Nguyen, Sylvie Daniel, Didier Guériot, Christophe Sintes, Jean-Marc Le Caillec:
Robust Building-based Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes. - Stephan Thaler, Ludger Paehler, Nikolaus A. Adams:
Sparse Identification of Truncation Errors. - Longchun Wang, Qingguo Li:
The Syntax of Disjunctive Propositional Logic and Algebraic L-domains. - Shing Chan, Ahmed H. Elsheikh:
Parametrization of stochastic inputs using generative adversarial networks with application in geology. - Xing Lu, Kathryn Hinkelman, Yangyang Fu, Jing Wang, Wangda Zuo, Qianqian Zhang, Walid Saad:
An Open Source Modeling Framework for Interdependent Energy-Transportation- Communication Infrastructure in Smart and Connected Communities. - Chaitanya Prasad Sishtla, Steven Wei Der Chien, Vyacheslav Olshevsky, Erwin Laure, Stefano Markidis:
Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code. - Farhood Rismanchian, Karim Rahimian:
Proposing a Localized Relevance Vector Machine for Pattern Classification. - Dayan Guan, Xing Luo, Yanpeng Cao, Jiangxin Yang, Yanlong Cao, George Vosselman, Michael Ying Yang:
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection. - Carlos Mastalli, Ioannis Havoutis, Alexander W. Winkler, Darwin G. Caldwell, Claudio Semini:
On-line and on-board planning and perception for quadrupedal locomotion. - Alexander W. Winkler, Carlos Mastalli, Ioannis Havoutis, Michele Focchi, Darwin G. Caldwell, Claudio Semini:
Planning and Execution of Dynamic Whole-Body Locomotion for a Hydraulic Quadruped on Challenging Terrain. - Min Peng, Chongyang Wang, Tao Bi, Tong Chen, Xiangdong Zhou, Yu Shi:
A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition. - Chirag Juyal, Sandeep S. Kulkarni, Sweta Kumari, Sathya Peri, Archit Somani:
Obtaining Progress Guarantee and GreaterConcurrency in Multi-Version Object Semantics. - Kuldeep Purohit, Subeesh Vasu, Makkena Purnachandra Rao, A. N. Rajagopalan:
Planar Geometry and Latest Scene Recovery from a Single Motion Blurred Image. - Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul:
Neo: A Learned Query Optimizer. - Natalie Parde, Rodney D. Nielsen:
AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor. - Guchong Li:
Multiple Model Poisson Multi-Bernoulli Mixture Filter for Maneuvering Targets. - Samuel Grieggs, Bingyu Shen, Pei Li, Cana Short, Jiaqi Ma, Mihow McKenny, Melody Wauke, Brian L. Price, Walter J. Scheirer:
Measuring Human Perception to Improve Handwritten Document Transcription. - Mahmudur Khan, Jacob Chakareski:
Visible Light Communication for Next Generation Untethered Virtual Reality Systems. - Weiyan Shi, Tiancheng Zhao, Zhou Yu:
Unsupervised Dialog Structure Learning. - Mina Dalirrooyfard, Thuy-Duong Vuong, Virginia Vassilevska Williams:
Graph pattern detection: Hardness for all induced patterns and faster non-induced cycles. - I. Kagan Erunsal, Rodrigo Ventura, Alcherio Martinoli:
Nonlinear Model Predictive Control for 3D Formation of Multirotor Micro Aerial Vehicles with Relative Sensing in Local Coordinates. - Hassan Hafez-Kolahi, Shohreh Kasaei:
Information Bottleneck and its Applications in Deep Learning. - Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis:
Unsupervised Recurrent Neural Network Grammars. - Rafael Papallas, Mehmet Remzi Dogar:
Non-Prehensile Manipulation in Clutter with Human-In-The-Loop. - N. Benjamin Erichson, Zhewei Yao, Michael W. Mahoney:
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks. - Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
Can GCNs Go as Deep as CNNs? - Samarth Brahmbhatt, Ankur Handa, James Hays, Dieter Fox:
ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact. - Issam W. Damaj:
Higher-Level Hardware Synthesis of The KASUMI Algorithm. - Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto:
Meta-Learning with Differentiable Convex Optimization. - Siu-Wing Cheng, Man-Kwun Chiu:
Implicit Manifold Reconstruction. - Ori Shental:
The Penalty in Scaling Exponent for Polar Codes is Analytically Approximated by the Golden Ratio. - Yunyang Xiong, Hyunwoo J. Kim, Varsha Hedau:
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification. - Peter Baumgartner, Uwe Waldmann:
Hierarchic Superposition Revisited. - Chengkun Zhang, Junbin Gao, Stephen Lu:
Cluster Developing 1-Bit Matrix Completion. - Yunyang Xiong, Ronak Mehta, Vikas Singh:
Resource Constrained Neural Network Architecture Search. - Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo:
Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation. - Hu Ding:
Minimum Enclosing Ball Revisited: Stability and Sub-linear Time Algorithms. - Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Jianbo Shi:
FoveaBox: Beyond Anchor-based Object Detector. - Yerbolat Khassanov, Zhiping Zeng, Van Tung Pham, Haihua Xu, Eng Siong Chng:
Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation. - Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He:
Scaling Stream Processing with Transactional State Management on Multicores. - Yerbolat Khassanov, Haihua Xu, Van Tung Pham, Zhiping Zeng, Eng Siong Chng, Chongjia Ni, Bin Ma:
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data. - Tianxin Shi, Shuhan Shen, Xiang Gao, Lingjie Zhu:
Visual Localization Using Sparse Semantic 3D Map. - Daeun Kim, Song-Nam Hong, Namyoon Lee:
Supervised-Learning for Multi-Hop MU-MIMO Communications with One-Bit Transceivers. - Chunsheng Liu:
Binary matrix completion with nonconvex regularizers. - Seungwoo Choi, Seokjun Seo, Beomjun Shin, Hyeongmin Byun, Martin Kersner, Beomsu Kim, Dongyoung Kim, Sungjoo Ha:
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices. - David V. Gealy, Stephen McKinley, Brent Yi, Philipp Wu, Phillip R. Downey, Greg Balke, Allan Zhao, Menglong Guo, Rachel Thomasson, Anthony Sinclair, Peter Cuellar, Zoe McCarthy, Pieter Abbeel:
Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation. - Seokjun Seo, Seungwoo Choi, Martin Kersner, Beomjun Shin, Hyungsuk Yoon, Hyeongmin Byun, Sungjoo Ha:
Towards Real-Time Automatic Portrait Matting on Mobile Devices. - Zhiheng Huang, Bing Xiang:
WeNet: Weighted Networks for Recurrent Network Architecture Search. - Ruoyu Wang, Shiheng Wang, Erdong Xiao, Kshitij Jindal, Wenzhen Yuan, Chen Feng:
Real-time Soft Robot 3D Proprioception via Deep Vision-based Sensing. - Inseok Oh, Seungeun Rho, Sangbin Moon, Seongho Son, Hyoil Lee, Jinyun Chung:
Creating Pro-Level AI for Real-Time Fighting Game with Deep Reinforcement Learning. - K. S. Chirikhin, B. Ya. Ryabko:
Application of data compression techniques to time series forecasting. - Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. - Yehao Kong, Jiliang Zhang:
Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models. - Usman A. Fiaz, John S. Baras:
A Hybrid Compositional Approach to Optimal Mission Planning for Multi-rotor UAVs using Metric Temporal Logic. - Jingke Meng, Sheng Wu, Wei-Shi Zheng:
Weakly Supervised Person Re-Identification. - Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Julien Epps:
Direct Modelling of Speech Emotion from Raw Speech. - Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure. - Duc Canh Le, Chan-Hyun Youn:
Criteria and Approaches for Virtualization on Modern FPGAs. - Heinrich Dinkel, Kai Yu:
Duration robust sound event detection. - Ahmed H. Hareedy, Rohith Kuditipudi, A. Robert Calderbank:
Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes. - Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin:
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark. - Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu:
Decomposition-Based Transfer Distance Metric Learning for Image Classification. - Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li:
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes. - Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen, Kyrre Glette:
Evolved embodied phase coordination enables robust quadruped robot locomotion. - Alexander S. Wein, Ahmed El Alaoui, Cristopher Moore:
The Kikuchi Hierarchy and Tensor PCA. - Long Hu, Yuanwen Tian, Jun Yang, Tarik Taleb, Lin Xiang, Yixue Hao:
Ready Player One: UAV Clustering based Multi-Task Offloading for Vehicular VR/AR Gaming. - Abhimanyu Das, Sreenivas Gollapudi, Ravi Kumar, Rina Panigrahy:
On the Learnability of Deep Random Networks. - Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li:
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion. - Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han:
Streamlined Dense Video Captioning. - Sébastien Bubeck, Yuval Rabani:
Parametrized Metrical Task Systems. - Lucas Ondel, Hari Krishna Vydana, Lukás Burget, Jan Cernocký:
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. - Shuhao Gu, Yang Feng, Qun Liu:
Improving Domain Adaptation Translation with Domain Invariant and Specific Information. - Peratham Wiriyathammabhum, Abhinav Shrivastava, Vlad I. Morariu, Larry S. Davis:
Referring to Objects in Videos using Spatio-Temporal Identifying Descriptions. - Ramtin Yazdanian, Leila Zia, Jonathan T. Morgan, Bahodir Mansurov, Robert West:
Eliciting New Wikipedia Users' Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start. - Hugo Gimbert, Claire Mathieu, Simon Mauras:
On popularity-based random matching markets. - Taibou Birgui Sekou, Moncef Hidane, Julien Olivier, Hubert Cardot:
From Patch to Image Segmentation using Fully Convolutional Networks - Application to Retinal Images. - Fengda Zhu, Linchao Zhu, Yi Yang:
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation. - Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz:
"Jam Me If You Can": Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications. - Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Sharad Mehrotra:
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction. - Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
On Learning Density Aware Embeddings. - Krzysztof R. Apt, Ernst-Rüdiger Olderog:
Fifty years of Hoare's Logic. - Martin Josifoski, Ivan S. Paskov, Hristo S. Paskov, Martin Jaggi, Robert West:
Crosslingual Document Embedding as Reduced-Rank Ridge Regression. - Lei Yu, Vincent Y. F. Tan:
Bounds on the Average Distance and Distance Enumerator with Applications to Non-Interactive Simulation. - Robert Brijder, Marc Gyssens, Jan Van den Bussche:
On matrices and K-relations. - Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty:
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. - Pedro Miraldo, Surojit Saha, Srikumar Ramalingam:
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment. - Bjoern Haefner, Zhenzhang Ye, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers:
Variational Uncalibrated Photometric Stereo under General Lighting. - Richard Berntsson-Svensson, Robert Feldt, Richard Torkar:
The Unfulfilled Potential of Data-Driven Decision Making in Agile Software Development. - Alessandro Bianchi, Moreno Raimondo Vendra, Pavlos Protopapas, Marco Brambilla:
Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning. - Xiaohui Bei, Shiteng Chen, Ji Guan, Youming Qiao, Xiaoming Sun:
From independent sets and vertex colorings to isotropic spaces and isotropic decompositions. - Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie:
Feature Learning Viewpoint of AdaBoost and a New Algorithm. - Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan:
Kervolutional Neural Networks. - Christian A. Scholbeck, Christoph Molnar, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio:
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations. - Yang He, Ping Liu, Linchao Zhu, Yi Yang:
Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks. - Sebastian Gottwald, Daniel A. Braun:
Bounded rational decision-making from elementary computations that reduce uncertainty. - Yong Huang, Mengnian Xu, Wei Wang, Hao Wang, Tao Jiang, Qian Zhang:
Towards Motion Invariant Authentication for On-Body IoT Devices. - Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein, Anders Søgaard:
Issue Framing in Online Discussion Fora. - Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah:
Jointly Measuring Diversity and Quality in Text Generation Models. - Tao Lei, Xiaohong Jia, Tongliang Liu, Shigang Liu, Hongying Meng, Asoke K. Nandi:
Adaptive Morphological Reconstruction for Seeded Image Segmentation. - Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall:
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting. - Wei Feng, Ming Xiao, Cheng-Xiang Wang:
Collaborative Spectrum Sharing for Hybrid Satellite-Terrestrial Networks with Large-Scale CSI. - Lefei Zhang, Qian Zhang, Bo Du, Xin Huang, Yuan Yan Tang, Dacheng Tao:
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images. - Adrien Nivaggioli, Hicham Randrianarivo:
Weakly Supervised Semantic Segmentation of Satellite Images. - Linda Plotnick, Starr Roxanne Hiltz, Sukeshini A. Grandhi, Julie Dugdale:
Real or Fake? User Behavior and Attitudes Related to Determining the Veracity of Social Media Posts. - Bart Theeten, Frederik Vandeputte, Tom Van Cutsem:
Import2vec - Learning Embeddings for Software Libraries. - Michael Ramscar:
Source codes in human communication. - Yung-Ting Lee, Taisuke Ozaki:
OpenMX Viewer: A web-based crystalline and molecular graphical user interface program. - Viacheslav Dubeyko:
Comparative Analysis of Distributed and Parallel File Systems' Internal Techniques. - Carla Mouradian, Somayeh Kianpisheh, Mohammad Abu-Lebdeh, Fereshteh Ebrahimnezhad, Narjes Tahghigh Jahromi, Roch H. Glitho:
Application Component Placement in NFV-based Hybrid Cloud/Fog Systems with Mobile Fog Nodes. - Julie Dugdale, Narjès Bellamine Ben Saoud, Fedia Zouai, Bernard Pavard:
Coupling agent based simulation with dynamic networks analysis to study the emergence of mutual knowledge as a percolation phenomenon. - Lyuba Mancheva, Julie Dugdale:
Understanding communications in medical emergency situations. - Maxime Chabance, Grégoire Cattan, Bastien Maureille:
Implementation of a Daemon for OpenBCI. - Frank Nielsen:
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means. - Mattia Antonino Di Gangi, Giosuè Lo Bosco, Giovanni Pilato:
Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection. - Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq R. Joty:
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation. - Sabri Ghazi, Julie Dugdale, Tarek Khadir:
Modelling PM10 Crisis Peaks Using Multi-Agent based Simulation: Application to Annaba City, North-East Algeria. - Fan Yang, Zhan Wang, Xiaoxiao Ma, Guojun Yuan, Xuejun An:
SwitchAgg: A Further Step Towards In-Network Computation. - Yannis Flet-Berliac, Philippe Preux:
Samples are not all useful: Denoising policy gradient updates using variance. - Moonmoon Chakraborty:
Fog Computing Vs. Cloud Computing. - Lyuba Mancheva, Julie Dugdale:
The design of an agent based model of human activities and communications in cardiac resuscitation. - Jia Luo, Didier El Baz:
A Survey on Parallel Genetic Algorithms for Shop Scheduling Problems. - Stamatis Outsios, Christos Karatsalos, Konstantinos Skianis, Michalis Vazirgiannis:
Evaluation of Greek Word Embeddings. - Didier El Baz, Li Zhu:
Smart systems, the fourth industrial revolution and new challenges in distributed computing. - Simon Streicher, Carl Sandrock:
Plant-wide fault and disturbance screening using combined transfer entropy and eigenvector centrality analysis. - Jia Liu, Maoguo Gong, Haibo He:
Nucleus Neural Network for Super Robust Learning. - Thomas Dybdahl Ahle:
Subsets and Supermajorities: Unifying Hashing-based Set Similarity Search. - Weiwei Wu, Ziyao Huang, Feng Shan, Yuxin Bian, Kejie Lu, Zhengjiang Li, Jianping Wang:
CoUAV: A Cooperative UAV Fleet Control and Monitoring Platform. - Thomas Manzini, Yao Chong Lim, Yulia Tsvetkov, Alan W. Black:
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. - Wenbo Zhao, Tagyoung Chung, Anuj Kumar Goyal, Angeliki Metallinou:
Simple Question Answering with Subgraph Ranking and Joint-Scoring. - Jan Kocon, Michal Gawor:
Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF. - Hang Zou, Chao Zhang, Samson Lasaulce:
Task Oriented Channel State Information Quantization. - Ramakrishna Tipireddy, Paris Perdikaris, Panos Stinis, Alexandre M. Tartakovsky:
A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations. - Federico Mason, Marco Giordani, Federico Chiariotti, Andrea Zanella, Michele Zorzi:
Quality-Aware Broadcasting Strategies for Position Estimation in VANETs. - Afra Alishahi, Grzegorz Chrupala, Tal Linzen:
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop. - Chunming Tang:
Infinite families of 3-designs from APN functions. - Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova:
Abusive Language Detection with Graph Convolutional Networks. - Weijia Xu, Xing Niu, Marine Carpuat:
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. - Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan:
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context. - Jérôme Leroux, M. Praveen, Philippe Schnoebelen, Grégoire Sutre:
On Functions Weakly Computable by Pushdown Petri Nets and Related Systems. - Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. - David Griffiths, Jan Boehm:
Weighted Point Cloud Augmentation for Neural Network Training Data Class-Imbalance. - Nishit Shrestha, Fatma Nasoz:
Deep Learning Sentiment Analysis of Amazon.com Reviews and Ratings. - Yang Xiao, Ning Zhang, Wenjing Lou, Y. Thomas Hou:
A Survey of Distributed Consensus Protocols for Blockchain Networks. - Kuan-Yu Chen, Che-Ping Tsai, Da-Rong Liu, Hung-yi Lee, Lin-Shan Lee:
Completely Unsupervised Phoneme Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models. - Antti Knutas, Victoria Palacin, Giovanni Maccani, Markus Helfert:
Software Engineering in Civic Tech: A Case Study about Code for Ireland. - Tasnim Mohiuddin, Shafiq R. Joty:
Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training. - Rajesh Jayaram, Gokarna Sharma, Srikanta Tirthapura, David P. Woodruff:
Weighted Reservoir Sampling from Distributed Streams. - Huy L. Nguyen:
A note on Cunningham's algorithm for matroid intersection. - Praful D. Mankar, Harpreet S. Dhillon:
Analysis of Transmission Rate of Wireless Networks under the Broadcast Approach with Continuum of Transmission Layers. - Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning monocular depth estimation infusing traditional stereo knowledge. - Sébastien Gros, Mario Zanon:
Data-driven Economic NMPC using Reinforcement Learning. - Han Guo, Ramakanth Pasunuru, Mohit Bansal:
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. - Yuelong Li, Mohammad Tofighi, Vishal Monga:
Robust Alignment for Panoramic Stitching via an Exact Rank Constraint. - Vivek Sivaraman Narayanaswamy, Sameeksha Katoch, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets. - Yangyang Shi, Mei-Yuh Hwang, Xin Lei, Haoyu Sheng:
Knowledge Distillation For Recurrent Neural Network Language Modeling With Trust Regularization. - Anjalie Field, Gayatri Bhat, Yulia Tsvetkov:
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories. - Yu Wu, Lu Jiang, Yi Yang:
Revisiting EmbodiedQA: A Simple Baseline and Beyond. - Rod Burns, John W. Lawson, Duncan McBain, Daniel Soutar:
Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN. - Ashwin Rajadesingan, Ramaswami Mahalingam, David Jurgens:
Smart, Responsible, and Upper Caste Only: Measuring Caste Attitudes through Large-Scale Analysis of Matrimonial Profiles. - Kaige Qu, Weihua Zhuang, Qiang Ye, Xuemin Shen, Xu Li, Jaya Rao:
Delay-Aware Flow Migration for Embedded Services in 5G Core Networks. - Lucca Hirschi:
Symbolic Abstractions for Quantum Protocol Verification. - Juraj Persic, Luka Petrovic, Ivan Markovic, Ivan Petrovic:
Spatio-Temporal Multisensor Calibration Based on Gaussian Processes Moving Object Tracking. - Dina Aladawy, Michael Glazer, Jack Terwilliger, Henri Schmidt, Joshua E. Domeyer, Bruce Mehler, Bryan Reimer, Lex Fridman:
Eye Contact Between Pedestrians and Drivers. - Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall:
Unsupervised learning of action classes with continuous temporal embedding. - Vamseedhar Reddyvari Raja, Parimal Parag, Srinivas Shakkottai:
Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks. - Hao Tan, Licheng Yu, Mohit Bansal:
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. - Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering. - Jack Terwilliger, Michael Glazer, Henri Schmidt, Joshua E. Domeyer, Heishiro Toyoda, Bruce Mehler, Bryan Reimer, Lex Fridman:
Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World Data. - Lydia Taw, Nishant Gurrapadi, Mariana Macedo, Marcos A. C. Oliveira, Diego Pinheiro, Carmelo J. A. Bastos Filho, Ronaldo Menezes:
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm. - Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Log-barrier constrained CNNs. - Shervin Minaee, Elham Azimi, AmirAli Abdolrashidi:
Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models. - Anindya De, Elchanan Mossel, Joe Neeman:
Junta correlation is testable. - Sk. Miraj Ahmed, Niladri Ranjan Das, Kunal Narayan Chaudhury:
Least-squares registration of point sets over SE (d) using closed-form projections. - Mohammad Esmaeilpour, Patrick Cardinal, Alessandro L. Koerich:
Unsupervised Feature Learning for Environmental Sound Classification Using Cycle Consistent Generative Adversarial Network. - Nathan Bucki, Mark W. Mueller:
Rapid Collision Detection for Multicopter Trajectories. - Dominik Kempa, Tomasz Kociumaka:
String Synchronizing Sets: Sublinear-Time BWT Construction and Optimal LCE Data Structure. - Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. - Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. - Tianci Yang, Carlos Murguia, Margreta Kuijper, Dragan Nesic:
A Multi-Observer Based Estimation Framework for Nonlinear Systems under Sensor Attacks. - Tianci Yang, Carlos Murguia, Margreta Kuijper, Dragan Nesic:
An Unknown Input Multi-Observer Approach for Estimation and Control under Adversarial Attacks. - Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. - Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz:
Identity-preserving Face Recovery from Stylized Portraits. - Duygu Vietz, Egon Wanke:
The Fault-Tolerant Metric Dimension of Cographs. - Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons:
Evaluating the Arm Ecosystem for High Performance Computing. - Joseph L. Heyman:
A Manifold of Polynomial Time Solvable Bimatrix Games. - Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Towards Traceability in Data Ecosystems using a Bill of Materials Model. - Matthias Niedermaier, Thomas Hanka, Sven Plaga, Alexander von Bodisco, Dominik Merli:
Efficient Passive ICS Device Discovery and Identification by MAC Address Correlation. - Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: a Sorting Deep net to learn ranking loss surrogates. - Guangyi Liu, Chen Yuan, Xi Chen, Jingjin Wu, Renchang Dai, Zhiwei Wang:
A High-Performance Energy Management System based on Evolving Graph. - Haowen Deng, Tolga Birdal, Slobodan Ilic:
3D Local Features for Direct Pairwise Registration. - Matthias Niedermaier, Alexander von Bodisco, Dominik Merli:
CoRT: A Communication Robustness Testbed for Industrial Control System Components. - Bruno Korbar, Du Tran, Lorenzo Torresani:
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition. - Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. - Kishore Debnath, Christina L. Peterson, Damian Dechev:
Analysis of Commutativity with State-Chart Graph Representation of Concurrent Programs. - Xiaofei Wang, Jinyi Yang, Ruizhi Li, Samik Sadhu, Hynek Hermansky:
Exploring Methods for the Automatic Detection of Errors in Manual Transcription. - Bilal Taha, Munawar Hayat, Stefano Berretti, Naoufel Werghi:
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection. - Ankit Garg, Visu Makam, Rafael Mendes de Oliveira, Avi Wigderson:
More barriers for rank methods, via a "numeric to symbolic" transfer. - Robert Rand:
Verification Logics for Quantum Programs. - Miguel Fernandes, Luís A. Alexandre:
A Time-Segmented Consortium Blockchain for Robotic Event Registration. - Ponrudee Netisopakul, Gerhard Wohlgenannt, Aleksei Pulich:
Word Similarity Datasets for Thai: Construction and Evaluation. - Marcin Sendera:
Data adaptation in HANDY economy-ideology model. - Patrick A. K. Reinbold, Roman O. Grigoriev:
Data-driven discovery of partial differential equation models with latent variables. - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features. - Abdullah Ash-Saki, Mahabubul Alam, Swaroop Ghosh:
Study of Decoherence in Quantum Computers: A Circuit-Design Perspective. - Chau Tran, Kaylea Champion, Andrea Forte, Benjamin Mako Hill, Rachel Greenstadt:
Tor Users Contributing to Wikipedia: Just Like Everybody Else? - Weinan E, Chao Ma, Lei Wu:
A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics. - Juan David Alzate-Cardona, D. Sabogal-Suárez, J. Torres, Elisabeth Restrepo-Parra:
MFV: Application software for the visualization and characterization of the DC magnetic field distribution in circular coil systems. - Xiaowei Jia, Ankush Khandelwal, Vipin Kumar:
Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning. - Welington Santos, Marcelo Muniz Silva Alves:
Polynomial Invariant Theory and Shape Enumerator of Self-Dual Codes in the NRT-Metric. - Shahbaz Rezaei, Xin Liu:
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning. - Bingyao Huang, Haibin Ling:
End-to-end Projector Photometric Compensation. - Eric K. Tokuda, Cláudio T. Silva, Roberto Marcondes Cesar Jr.:
Quantifying the presence of graffiti in urban environments. - Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero:
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. - Mohit Daga, Monika Henzinger, Danupon Nanongkai, Thatchaphol Saranurak:
Distributed Edge Connectivity in Sublinear Time. - Paritosh Parmar, Brendan Tran Morris:
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment. - Bestoun S. Ahmed, Taib Sh. Abdulsamad, Moayad Y. Potrus:
Achievement of Minimized Combinatorial Test Suite for Configuration-Aware Software Functional Testing Using the Cuckoo Search Algorithm. - Pramit Saha, Sidney S. Fels:
Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG. - Neslisah Torosdagli, Mary McIntosh, Denise K. Liberton, Payal Verma, Murat Sincan, Wade W. Han, Janice S. Lee, Ulas Bagci:
Relational Reasoning Network (RRN) for Anatomical Landmarking. - Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang:
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. - Pramit Saha, Muhammad Abdul-Mageed, Sidney S. Fels:
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts. - Attila Tiba, András Hajdu, György Terdik, Henrietta Tomán:
Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems. - Hartmut Surmann, Nils Berninger, Rainer Worst:
3D mapping for multi hybrid robot cooperation. - Hongxin Wang, Jigen Peng, Xuqiang Zheng, Shigang Yue:
A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds. - Michael Chen, Mike D'Arcy, Alisa Liu, Jared Fernandez, Doug Downey:
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense. - Hong Xuan, Abby Stylianou, Robert Pless:
Improved Embeddings with Easy Positive Triplet Mining. - Jennifer Paykin, Steve Zdancewic:
A HoTT Quantum Equational Theory (Extended Version). - Fang Wu, Vivek Shankar Varadharajan, Giovanni Beltrame:
Collision-aware Task Assignment for Multi-Robot Systems. - Rodolfo Valiente, Mahdi Zaman, Sedat Ozer, Yaser P. Fallah:
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks. - Tarik A. Rashid, Hawraz A. Ahmad:
Lecturer Performance System Using Neural Network with Particle Swarm Optimization. - Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec:
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. - Vicky Zayats, Mari Ostendorf:
Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection. - Jeremy Kepner, Kenjiro Cho, kc claffy:
New Phenomena in Large-Scale Internet Traffic. - Vicky Zayats, Trang Tran, Richard A. Wright, Courtney Mansfield, Mari Ostendorf:
Disfluencies and Human Speech Transcription Errors. - Forrest Huang, John F. Canny:
Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications. - Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos:
Towards Universal Object Detection by Domain Attention. - Nikolaj Tatti:
Discovering Bands from Graphs. - Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra:
Embodied Visual Recognition. - Mahmudul Hasan, Sujoy Paul, Anastasios I. Mourikis, Amit K. Roy-Chowdhury:
Context-Aware Query Selection for Active Learning in Event Recognition. - Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye:
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. - Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton:
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions. - Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen:
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. - Chaojing Duan, Siheng Chen, Jelena Kovacevic:
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation. - Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das:
Text Generation with Exemplar-based Adaptive Decoding. - Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz:
Label Super Resolution with Inter-Instance Loss. - Xiaoyu Chen, Shugong Xu, Xudong Chen, Shan Cao, Shunqing Zhang, Yanzan Sun:
Passive TCP Identification for Wired and WirelessNetworks: A Long-Short Term Memory Approach. - Tung Mai, Vijay V. Vazirani:
Stability-Preserving, Incentive-Compatible, Time-Efficient Mechanisms for Increasing School Capacity. - Yang Li, Shihao Ji:
L0-ARM: Network Sparsification via Stochastic Binary Optimization. - Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu:
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition. - Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang:
Reliable and Efficient Image Cropping: A Grid Anchor based Approach. - Zhao Jin, Hanpin Wang, Lei Zhang, Bowen Zhang, Kun Gao, Yongzhi Cao:
Reasoning about Block-based Cloud Storage Systems. - Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang:
Multimodal Style Transfer via Graph Cuts. - Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura:
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks. - Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. - Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang:
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. - Kui Fu, Peipei Shi, Yafei Song, Shiming Ge, Xiangju Lu, Jia Li:
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation. - Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng:
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking. - Danupon Nanongkai, Thatchaphol Saranurak, Sorrachai Yingchareonthawornchai:
Breaking Quadratic Time for Small Vertex Connectivity and an Approximation Scheme. - Angli Liu, Jingfei Du, Veselin Stoyanov:
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition. - Zeyuan Wang, Josiah Poon, Shiding Sun, Simon K. Poon:
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. - Louis Chartrand:
Mixing syntagmatic and paradigmatic information for concept detection. - Yuan Gao, Zixiang Cai, Yimin Chen, Wenke Chen, Kan Yang, Chen Sun, Cong Yao:
Intra-Ensemble in Neural Networks. - Zhengjie Miao, Sudeepa Roy, Jun Yang:
Explaining Wrong Queries Using Small Examples. - Tang Liu, Daniela Tuninetti:
Private Pliable Index Coding. - Deekshith P. K., Konchady Gautam Shenoy, Vinod Sharma:
Second Order and Moderate Deviation Analysis of a Block Fading Channel with Deterministic and Energy Harvesting Power Constraints. - Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu:
MVF-Net: Multi-View 3D Face Morphable Model Regression. - Ye Yuan, Wenhan Yang, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang:
UG2 Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments. - Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos:
Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation. - Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Who Needs Words? Lexicon-Free Speech Recognition. - Tanzila Rahman, Mrigank Rochan, Yang Wang:
Convolutional Temporal Attention Model for Video-based Person Re-identification. - Zijian Zhao, Su Zhu, Kai Yu:
A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data. - Tomasz Krawczyk:
Testing isomorphism of circular-arc graphs - Hsu's approach revisited. - Shunsuke Inenaga:
Suffix Trees, DAWGs and CDAWGs for Forward and Backward Tries. - Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang:
High-Resolution Representations for Labeling Pixels and Regions. - Matthias Rottmann, Marius Schubert:
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images. - Mara Graziani, Vincent Andrearczyk, Henning Müller:
Regression Concept Vectors for Bidirectional Explanations in Histopathology. - Oliver Moolan-Feroze, Konstantinos Karachalios, Dimitrios N. Nikolaidis, Andrew Calway:
Simultaneous drone localisation and wind turbine model fitting during autonomous surface inspection. - Shuping Dang, Basem Shihada, Mohamed-Slim Alouini:
Toward Spectral and Energy Efficient 5G Networks Using Relayed OFDM with Index Modulation. - Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. - Hirokazu Kameoka, Kou Tanaka, Aaron Valero Puche, Yasunori Ohishi, Takuhiro Kaneko:
Crossmodal Voice Conversion. - Mauro Conti, Pallavi Kaliyar, Chhagan Lal:
Reliable Group Communication Protocol for Internet of Things. - Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra:
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. - Paul Voigtlaender, Jonathon Luiten, Bastian Leibe:
BoLTVOS: Box-Level Tracking for Video Object Segmentation. - Bruno Ferrarini, Shoaib Ehsan, Adrien Bartoli, Ales Leonardis, Klaus D. McDonald-Maier:
Assessing Capsule Networks With Biased Data. - Weishan Zhang, Qun Jin, Didier El Baz:
Enabling the Social Internet of Things and Social Cloud. - Shan Chen, Weiguo Dai, Yuanxi Dai, Hao Fu, Yang Gao, Jianqi Guo, Haoqing He, Yuhong Liu:
Thinkey: A Scalable Blockchain Architecture. - Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh:
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. - Jean Barbier, Clément Luneau, Nicolas Macris:
Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization. - Albert Pumarola, Jordi Sanchez, Gary P. T. Choi, Alberto Sanfeliu, Francesc Moreno-Noguer:
3DPeople: Modeling the Geometry of Dressed Humans. - Emanuel Kieronski:
One-dimensional guarded fragments. - Wafa Ben Jaballah, Mauro Conti, Chhagan Lal:
A Survey on Software-Defined VANETs: Benefits, Challenges, and Future Directions. - Kieran Greer:
A Feature-Value Network as a Brain Model. - Azza E. A. Eltraify, Mohamed O. I. Musa, Ahmed N. Al-Quzweeni, Jaafar M. H. Elmirghani:
Experimental Evaluation of Server Centric Passive Optical Network Based Data Centre Architecture. - Azza E. A. Eltraify, Mohamed O. I. Musa, Jaafar M. H. Elmirghani:
TDM/WDM over AWGR Based Passive Optical Network Data Centre Architecture. - Zheng Chen, Zengyou He, Hao Liang, Can Zhao, Yan Liu:
Correlation-Based Community Detection. - Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
End-to-End Learning of Proactive Handover Policy for Camera-Assisted mmWave Networks Using Deep Reinforcement Learning. - Tikaram Sanyashi, M. Bhargav Sri Venkatesh, Kapil Agarwal, Manish Verma, Bernard Menezes:
A new Hybrid Lattice Attack on Galbraith's Binary LWE Cryptosystem. - Bernardo Aceituno-Cabezas, Carlos Mastalli, Hongkai Dai, Michele Focchi, Andreea Radulescu, Darwin G. Caldwell, José Cappelletto, Juan C. Grieco, Gerardo Fernández-López, Claudio Semini:
Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization. - Carlos Mastalli, Ioannis Havoutis, Michele Focchi, Darwin G. Caldwell, Claudio Semini:
Hierarchical Planning of Dynamic Movements without Scheduled Contact Sequences. - Leonardo Fernández-Jambrina, Francisco Pérez-Arribas:
Developable surface patches bounded by NURBS curves. - Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John W. Paisley:
Rain O'er Me: Synthesizing real rain to derain with data distillation. - José Bacelar Almeida, Manuel Barbosa, Gilles Barthe, Benjamin Grégoire, Adrien Koutsos, Vincent Laporte, Tiago Oliveira, Pierre-Yves Strub:
The Last Mile: High-Assurance and High-Speed Cryptographic Implementations. - Nguyen Dang, Carola Doerr:
Hyper-Parameter Tuning for the (1+(λ, λ)) GA. - Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Automated Search for Configurations of Deep Neural Network Architectures. - Mario Zanon, Sébastien Gros, Alberto Bemporad:
Practical Reinforcement Learning of Stabilizing Economic MPC. - Zheng Chen, Emil Björnson, Erik G. Larsson:
Dynamic Scheduling and Power Control in Uplink Massive MIMO with Random Data Arrivals. - Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee:
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving. - Abdullah Hamdi, Bernard Ghanem:
Towards Analyzing Semantic Robustness of Deep Neural Networks. - Panagiotis Kostoglou, Apostolos N. Papadopoulos, Yannis Manolopoulos:
Distributed Computation of Top-k Degrees in Hidden Bipartite Graphs. - Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion. - Carlos Areces, Miguel Campercholi, Daniel Penazzi, Pablo Ventura:
The Complexity of Definability by Open First-Order Formulas. - Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
Evaluating Competence Measures for Dynamic Regressor Selection. - Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology. - Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan:
Domain-Symmetric Networks for Adversarial Domain Adaptation. - J. Ghasemi, R. Moradinezhad, M. A. Hosseini:
Kinematic Synthesis of Parallel Manipulator via Neural Network Approach. - Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra:
Multi-Target Embodied Question Answering. - Davide Moltisanti, Sanja Fidler, Dima Damen:
Action Recognition from Single Timestamp Supervision in Untrimmed Videos. - Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas:
Guidelines for Experimental Algorithmics in Network Analysis. - Muhammad Usman Ghani, W. Clem Karl:
Fast Accurate CT Metal Artifact Reduction using Data Domain Deep Learning. - Walter Simson, Rüdiger Göbl, Magdalini Paschali, Markus Krönke, Klemens Scheidhauer, Wolfgang Weber, Nassir Navab:
End-to-End Learning-Based Ultrasound Reconstruction. - Hang Yan, Xipeng Qiu, Xuanjing Huang:
A Unified Model for Joint Chinese Word Segmentation and Dependency Parsing. - Edouard Leurent, Odalric-Ambrym Maillard:
Practical Open-Loop Optimistic Planning. - Jim Webber, Paul D. Ezhilchelvan, Isi Mitrani:
Modeling Corruption in Eventually-Consistent Graph Databases. - Chih-Hong Cheng, Chung-Hao Huang, Thomas Brunner, Vahid Hashemi:
Towards Safety Verification of Direct Perception Neural Networks. - Alberto Baccini, Giuseppe De Nicolao, Eugenio Petrovich:
Citation gaming induced by bibliometric evaluation: a country-level comparative analysis. - Thi Ai Thao Nguyen, Tran Khanh Dang, Quynh Chi Truong, Dinh Thanh Nguyen:
Secure Biometric-based Remote Authentication Protocol using Chebyshev Polynomials and Fuzzy Extractor. - Jingming Li, Nianping Li, Jinqing Peng, Zhibin Wu, Haijiao Cui:
Privacy protection of occupant behavior data and using blockchain for securely transferring temperature records in HVAC systems. - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Label Propagation for Deep Semi-supervised Learning. - Sepehr Assadi, Yu Chen, Sanjeev Khanna:
Polynomial Pass Lower Bounds for Graph Streaming Algorithms. - Mohammad Keshavarzi, Michael Wu, Michael N. Chin, Robert N. Chin, Allen Y. Yang:
Affordance Analysis of Virtual and Augmented Reality Mediated Communication. - Edouard Leurent, Denis V. Efimov, Tarek Raïssi, Wilfrid Perruquetti:
Interval Prediction for Continuous-Time Systems with Parametric Uncertainties. - Daniel Russo:
A Note on the Equivalence of Upper Confidence Bounds and Gittins Indices for Patient Agents. - Marco Dinarelli, Loïc Grobol:
Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling. - Maximilian Alber:
Software and application patterns for explanation methods. - Bunjamin Memishi, Raja Appuswamy, Marcus Paradies:
Cold Storage Data Archives: More Than Just a Bunch of Tapes. - Mahdyar Ravanbakhsh:
Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series. - Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
Bilingual-GAN: A Step Towards Parallel Text Generation. - Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Across Tasks and Domains. - Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang:
Cross-Modal Self-Attention Network for Referring Image Segmentation. - Rafael Rodrigues, António M. G. Pinheiro:
Segmentation of Skeletal Muscle in Thigh Dixon MRI Based on Texture Analysis. - Lucas Gren, Vard Antinyan:
On the Relation Between Unit Testing and Code Quality. - Lucas Gren:
Social Influence in Agile Requirements Engineering. - Lucas Gren:
Learning more from crossing levels: Investigating agility at three levels of the organization. - Aibek Alanov, Max Kochurov, Denis Volkhonskiy, Daniil Yashkov, Evgeny Burnaev, Dmitry P. Vetrov:
User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks. - Smiju Kodamthuruthil Joy, Lakshmi Natarajan:
Index Codes with Minimum Locality for Three Receiver Unicast Problems. - Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, Cristian R. Munteanu, Julián Dorado:
A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. - Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan:
Hypothesis Set Stability and Generalization. - Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull:
Active Domain Randomization. - Haohan Guo, Frank K. Soong, Lei He, Lei Xie:
Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS. - Song Fang, Mikael Skoglund, Karl Henrik Johansson, Hideaki Ishii, Quanyan Zhu:
Generic Variance Bounds on Estimation and Prediction Errors in Time Series Analysis: An Entropy Perspective. - Julian Iseringhausen, Michael Weinmann, Weizhen Huang, Matthias B. Hullin:
Computational Parquetry: Fabricated Style Transfer with Wood Pixels. - Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni:
Sizing Storage for Reliable Renewable Integration: A Large Deviations Approach. - James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou:
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes. - Haohan Guo, Frank K. Soong, Lei He, Lei Xie:
A New GAN-based End-to-End TTS Training Algorithm. - Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris L. Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu:
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction. - Jianping Zhu, Rui Hou, XiaoFeng Wang, Wenhao Wang, Jiangfeng Cao, Lutan Zhao, Fengkai Yuan, Peinan Li, Zhongpu Wang, Boyan Zhao, Lixin Zhang, Dan Meng:
Enabling Privacy-Preserving, Compute- and Data-Intensive Computing using Heterogeneous Trusted Execution Environment. - Markus Freitag, Isaac Caswell, Scott Roy:
Text Repair Model for Neural Machine Translation. - Vida Dujmovic, Gwenaël Joret, Piotr Micek, Pat Morin, Torsten Ueckerdt, David R. Wood:
Planar Graphs have Bounded Queue-Number. - Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan L. Boyd-Graber:
Quizbowl: The Case for Incremental Question Answering. - Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu:
CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing. - Gennaro Notomista, Xiaoyi Cai, Magnus Egerstedt:
Passivity-Based Decentralized Control of Multi-Robot Systems With Delays Using Control Barrier Functions. - Daniel Park, Haidar Khan, Bülent Yener:
Short Paper: Creating Adversarial Malware Examples using Code Insertion. - Jacques Kaiser, Alexander Friedrich, Juan Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann:
Embodied Event-Driven Random Backpropagation. - Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, M. V. Rohith, Stefan Stojanov, James M. Rehg:
Unsupervised 3D Pose Estimation with Geometric Self-Supervision. - Logan Courtney, Ramavarapu Sreenivas:
Learning from Videos with Deep Convolutional LSTM Networks. - Yuhang Cao, Kai Chen, Chen Change Loy, Dahua Lin:
Prime Sample Attention in Object Detection. - Yue Guan, Anuradha M. Annaswamy, H. Eric Tseng:
Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services. - Kasper Green Larsen, Tal Malkin, Omri Weinstein, Kevin Yeo:
Lower Bounds for Oblivious Near-Neighbor Search. - Matthias Fey:
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks. - Yonatan Svirsky, Andrei Sharf:
A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement. - Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic:
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin. - João Campos, João R. Cardoso, Pedro Miraldo:
POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method. - Joshua Brakensiek, Venkatesan Guruswami:
Bridging between 0/1 and Linear Programming via Random Walks. - Jeremy E. J. Cohen, Todd Huster, Ra Cohen:
Universal Lipschitz Approximation in Bounded Depth Neural Networks. - Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar:
SWNet: Small-World Neural Networks and Rapid Convergence. - Brian DeCleene, Steve Huntsman:
Wireless Resilient Routing Reconfiguration. - Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, Eric Fosler-Lussier:
Characterizing the impact of geometric properties of word embeddings on task performance. - Nina Bulanova, Maxim Buzdalov:
Black-Box Complexity of the Binary Value Function. - Vinh Tran, Yang Wang, Minh Hoai:
Back to the Future: Knowledge Distillation for Human Action Anticipation. - Steve Huntsman:
Fast multipole networks. - Mingyuan Zhou, Yu Ji, Yuqi Ding, Jinwei Ye, S. Susan Young, Jingyi Yu:
Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field. - Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai:
Contextual Attention for Hand Detection in the Wild. - Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra M. Donatelli, Adam Summers, Daniele Panozzo, Cláudio T. Silva:
Unwind: Interactive Fish Straightening. - Yasutada Oohama:
New Converse Bounds for Discrete Memoryless Channels in the Finite Blocklength Regime. - Brian A. Powell:
Malicious Overtones: hunting data theft in the frequency domain with one-class learning. - Ruizhi Li, Gregory Sell, Hynek Hermansky:
Performance Monitoring for End-to-End Speech Recognition. - Lucía Santamaría, Amittai Axelrod:
Data Selection with Cluster-Based Language Difference Models and Cynical Selection. - Tínaz Ekim, Mordechai Shalom, Oylum Seker:
The Complexity of Subtree Intersection Representation of Chordal Graphs and Linear Time Chordal Graph Generation. - Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang:
Gait Recognition via Disentangled Representation Learning. - Luan Tran, Feng Liu, Xiaoming Liu:
Towards High-fidelity Nonlinear 3D Face Morphable Model. - Henok Yared Agizew:
Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitis. - Maria Bampa:
Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review. - Samuel F. Way, Santiago Gil, Ian Anderson, Aaron Clauset:
Environmental Changes and the Dynamics of Musical Identity. - Issam W. Damaj:
High Performance Reconfigurable Computing Systems. - Jinggai Li, Chun-Gang Zhu:
Curve and surface construction based on the generalized toric-Bernstein basis functions. - Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny:
Distributed Deep Learning Strategies For Automatic Speech Recognition. - Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi:
On zero-shot recognition of generic objects. - Kaiwen Yu, Jia Li, Yu Zhang, Yifan Zhao, Long Xu:
Image Quality Assessment for Omnidirectional Cross-reference Stitching. - Chenghao Guo, Zhiyi Huang, Xinzhi Zhang:
Settling the Sample Complexity of Single-parameter Revenue Maximization. - Fei Wang, Jianwei Feng, Yinliang Zhao, Xiaobin Zhang, Shiyuan Zhang, Jinsong Han:
Joint Activity Recognition and Indoor Localization. - Igor Spasojevic, Varun Murali, Sertac Karaman:
Asymptotic Optimality of a Time Optimal Path Parametrization Algorithm. - Yu Cao, Meng Fang, Dacheng Tao:
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering. - Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam:
Soft Conditional Computation. - Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu:
Decorrelated Adversarial Learning for Age-Invariant Face Recognition. - Yoshiharu Sato:
Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey. - Lingxiao He, Yinggang Wang, Wu Liu, Xingyu Liao, He Zhao, Zhenan Sun, Jiashi Feng:
Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification. - Congcong Li, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Qi Tian, Longyin Wen, Siwei Lyu:
Data Priming Network for Automatic Check-Out. - Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Context-Aware Embeddings for Automatic Art Analysis. - Zhexiong Shang, Chongsheng Cheng, Zhigang Shen:
A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery. - Zhexiong Shang, Zhigang Shen:
Vision-model-based Real-time Localization of Unmanned Aerial Vehicle for Autonomous Structure Inspection under GPS-denied Environment. - Peng Chu, Haibin Ling:
FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking. - Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang:
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. - Jia Li, Kui Fu, Shengwei Zhao, Shiming Ge:
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency. - Mert Ozer, Anna Sapienza, Andrés Abeliuk, Goran Muric, Emilio Ferrara:
Discovering patterns of online popularity from time series. - Shanshan Huang, Xiaojun Wan, Xuewei Tang:
AMRec: An Intelligent System for Academic Method Recommendation. - Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. - Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. - Xun Yang, Meng Wang, Dacheng Tao:
Person Re-identification with Metric Learning using Privileged Information. - Ushasi Chaudhuri, Partha Bhowmick, Jayanta Mukhopadhyay:
Efficient Retrieval of Logos Using Rough Set Reducts. - Charles P. Martin, Jim Tørresen:
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks. - Yasuaki Kobayashi, Yusuke Kobayashi, Shuichi Miyazaki, Suguru Tamaki:
An FPT Algorithm for Max-Cut Parameterized by Crossing Number. - Jinwoo Ahn, DongGyu Park, Chang-Gyu Lee, Donghyun Min, Junghee Lee, Sungyong Park, Qian Chen, Youngjae Kim:
KEY-SSD: Access-Control Drive to Protect Files from Ransomware Attacks. - Mohammad Javad Khojasteh, Mojtaba Hedayatpour, Massimo Franceschetti:
Theory and implementation of event-triggered stabilization over digital channels. - Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen, Vassileios Balntas:
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning. - (Withdrawn) Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification.
- Ping-Rong Chen, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin:
DSNet: An Efficient CNN for Road Scene Segmentation. - Charith Perera, Mahmoud Barhamgi, Suparna De, Tim Baarslag, Massimo Vecchio, Kim-Kwang Raymond Choo:
Designing Sensing as a Service (S2aaS) Ecosystem for Internet of Things. - Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Classification of Two-channel Signals by Means of Genetic Programming. - Yohei Hosoe, Dimitri Peaucelle:
Distribution Modeling and Stabilization Control for Discrete-Time Linear Random Dynamical Systems Using Ensemble Kalman Filter. - Prakhar Gupta, Matteo Pagliardini, Martin Jaggi:
Better Word Embeddings by Disentangling Contextual n-Gram Information. - Chen Zhao, Bernard Ghanem:
ThumbNet: One Thumbnail Image Contains All You Need for Recognition. - Thilo Reich, Marcin Budka, Derek Robbins, David Hulbert:
Survey of ETA prediction methods in public transport networks. - Brendan Patch, Mark S. Squillante, Peter M. van de Ven:
Optimisation of stochastic networks with blocking: a functional-form approach. - Jiwoon Ahn, Sunghyun Cho, Suha Kwak:
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations. - Yaqing Wang, Quanming Yao:
Few-shot Learning: A Survey. - Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng:
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution. - Ruoteng Li, Loong Fah Cheong, Robby T. Tan:
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. - Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli:
Detecting Cybersecurity Events from Noisy Short Text. - Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song:
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. - Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu:
C3AE: Exploring the Limits of Compact Model for Age Estimation. - Soroor Malekmohamadi Faradonbe, Faramarz Safi Esfahani:
A review on Neural Turing Machine. - Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy S. J. Ren:
DAVANet: Stereo Deblurring with View Aggregation. - Moustafa Nakechbandi, Jean-Yves Colin, Hervé Mathieu:
Minimum Spanning Trees in Weakly Dynamic Graphs. - Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho:
Relational Knowledge Distillation. - Jean-Yves Colin, Hervé Mathieu, Moustafa Nakechbandi:
A Proposal for an Open Logistics Interconnection Reference Model for a Physical Internet. - Rohan Budhiraja, Justin Carpentier, Carlos Mastalli, Nicolas Mansard:
Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics. - Prateek Verma, Chris Chafe, Jonathan Berger:
Neuralogram: A Deep Neural Network Based Representation for Audio Signals. - Yi-Chen Chen, Sung-Feng Huang, Hung-yi Lee, Lin-Shan Lee:
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings. - Claudia Landi, Sara Scaramuccia:
Persistence-perfect discrete gradient vector fields and multi-parameter persistence. - Minghui Yang, Jiejing Wen:
On the k-error linear complexity of subsequences of d-ary Sidel'nikov sequences over prime field Fd. - Helena Cuesta, Emilia Gómez, Pritish Chandna:
A Framework for Multi-f0 Modeling in SATB Choir Recordings. - Ahmed Khalifa:
Novel Quadrotor Manipulation System. - Spandana Gella, Desmond Elliott, Frank Keller:
Cross-lingual Visual Verb Sense Disambiguation. - Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Multitask Hopfield Networks. - Changyong Shu, Peng Li, Yuan Xie, Yanyun Qu, Longquan Dai, Lizhuang Ma:
Knowledge Squeezed Adversarial Network Compression. - Mohammad Mahdi Azari, Giovanni Geraci, Adrian García-Rodríguez, Sofie Pollin:
Cellular UAV-to-UAV Communications. - Andreas Bytyn, Rainer Leupers, Gerd Ascheid:
An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration. - Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang:
Text Guided Person Image Synthesis. - Mohammad Jafari Dehkordi, Babak Sadeghiyan:
Reconstruction of C&C Channel for Structured P2P Botnet. - Youjin Kim, Hyun Jong Yang:
Sum-Rate Maximization of Multicell MISO Networks with Limited Information Exchange. - Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Predicting Novel Views Using Generative Adversarial Query Network. - Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth:
Actor-Critic Instance Segmentation. - Lev Gordeev:
Predicative proof theory of PDL and basic applications. - Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi:
Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection. - Cédric Delaunay:
The resistance of an FPGA implementation of Grasshopper block cipher to CPA attacks. - Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphaël Sgier:
DeepSphere: towards an equivariant graph-based spherical CNN. - Marianne Akian, Stéphane Gaubert, Julien Grand-Clément, Jérémie Guillaud:
The operator approach to entropy games. - Alessandro Seganti, Helena Sobol, Iryna Orlova, Hannam Kim, Jakub Staniszewski, Tymoteusz Krumholc, Krystian Koziel:
NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier. - Heinrich Dinkel, Mengyue Wu, Kai Yu:
Text-based Depression Detection: What Triggers An Alert. - Kyongmin Yeo:
Short note on the behavior of recurrent neural network for noisy dynamical system. - Kwang In Kim, Hyung Jin Chang:
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations. - Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Large-Scale Long-Tailed Recognition in an Open World. - Soumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian:
Understanding Information Flow in Cascades Using Network Motifs. - Tullio Traverso, Luca Magri:
Data assimilation in a nonlinear time-delayed dynamical system. - Stephen Bonner, Flavian Vasile:
Causal Embeddings for Recommendation: An Extended Abstract. - Trevor K. Karn, Steven Petrone, Christopher Griffin:
Modeling a Hidden Dynamical System Using Energy Minimization and Kernel Density Estimates. - Stanislaw Ambroszkiewicz, Miroslaw Baranski:
An asymptotic combinatorial construction of 2D-sphere. - Jithin Jagannath, Tommaso Melodia:
VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network. - Rodrigo A. Ricco, Bruno Otávio Soares Teixeira:
Least-Squares Parameter Estimation for State-Space Models with State Equality Constraints. - (Withdrawn) On the Scalar-Help-Vector Source Coding Problem.
- Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang:
Black-box Adversarial Attacks on Video Recognition Models. - Fatemeh Rajabi-Alni, Alireza Bagheri:
A Fast and Efficient algorithm for Many-To-Many Matching of Points with Demands in One Dimension. - Beatrice Demiray, Julia Rackerseder, Stevica Bozhinoski, Nassir Navab:
Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound. - Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao:
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification. - Yousef Daradkeh Eid Mubarak, Lyudmyla Kirichenko, Tamara Radivilova:
Development of QoS methods in the information networks with fractal traffic. - Hongwei Song, Jiqing Han, Shiwen Deng, Zhihao Du:
Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events. - Rima Kriauziene, Andrej Bugajev, Raimondas Ciegis:
A Three-Level Parallelisation Scheme and Application to the Nelder-Mead Algorithm. - Dylan Chapp, Danny Rorabaugh, Duncan A. Brown, Ewa Deelman, Karan Vahi, Von Welch, Michela Taufer:
Applicability study of the PRIMAD model to LIGO gravitational wave search workflows. - Hari Hara Suthan Chittoor, K. V. Sushena Sree, Prasad Krishnan:
Cache-Aided Interference Management with Subexponential Subpacketization. - Siddhartha Gadgil:
Homogeneous length functions on Groups: Intertwined computer & human proofs. - Aaron Dant, Philip Feldman, Wayne G. Lutters:
Dungeons for Science: Mapping Belief Places and Spaces. - Lyudmyla Kirichenko, Tamara Radivilova:
Analyzes of the Distributed System Load with Multifractal Input Data Flows. - Björn Feldkord, Friedhelm Meyer auf der Heide:
The Mobile Server Problem. - Jaza Mahmood Abdullah, Tarik A. Rashid:
Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process. - Eimear Byrne, Alessandro Neri, Alberto Ravagnani, John Sheekey:
Tensor Representation of Rank-Metric Codes. - Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai:
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. - Philip Daian, Steven Goldfeder, Tyler Kell, Yunqi Li, Xueyuan Zhao, Iddo Bentov, Lorenz Breidenbach, Ari Juels:
Flash Boys 2.0: Frontrunning, Transaction Reordering, and Consensus Instability in Decentralized Exchanges. - Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Curriculum semi-supervised segmentation. - Jing Xu, Zhimin Hou, Zhi Liu, Hong Qiao:
Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies. - Hongwei Song, Jiqing Han, Shiwen Deng:
A Compact and Discriminative Feature Based on Auditory Summary Statistics for Acoustic Scene Classification. - Konstantinos Papadopoulos, Girum G. Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, Björn E. Ottersten:
Localized Trajectories for 2D and 3D Action Recognition. - Rinita Roy, Linus W. Dietz:
A Model for Using Physiological Conditions for Proactive Tourist Recommendations. - Reshmashree B. Kantharaju, Dominic De Franco, Alison Pease, Catherine Pelachaud:
Is Two Better than One? Effects of Multiple Agents on User Persuasion. - Xiaofei Li, Laurent Girin, Radu Horaud:
Expectation-Maximization for Speech Source Separation Using Convolutive Transfer Function. - Antonino Furnari, Sebastiano Battiato, Kristen Grauman, Giovanni Maria Farinella:
Next-Active-Object prediction from Egocentric Videos. - Peng Shi, Jimmy Lin:
Simple BERT Models for Relation Extraction and Semantic Role Labeling. - Victor Kulikov, Victor S. Lempitsky:
Instance Segmentation of Biological Images Using Harmonic Embeddings. - Gábor Gosztolya, Ádám Pintér, László Tóth, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó:
Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces. - Weinan E, Chao Ma, Qingcan Wang, Lei Wu:
Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections. - Francesco Ragusa, Antonino Furnari, Sebastiano Battiato, Giovanni Signorello, Giovanni Maria Farinella:
Egocentric Visitors Localization in Cultural Sites. - Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Lanbo Liu, Peng Jiang:
Deep Learning Inversion of Electrical Resistivity Data. - Umberto Gostoli, Eric Silverman:
Modelling Social Care Provision in An Agent-Based Framework with Kinship Networks. - Zhexiong Shang, Zhigang Shen:
Indoor Testing and Simulation Platform for Close-distance Visual Inspection of Complex Structures using Micro Quadrotor UAV. - Tang Liu, Daniela Tuninetti:
Decentralized Pliable Index Coding. - Pradosh Ranjan Sahoo, Abhilash Patel, Sandip Ghosh, Asim Kumar Naskar:
Selection of overlapping interaction through approximate decentralized fixed mode measure. - Anke Kreuzer, Jorge Amaya, Norbert Eicker, Estela Suarez:
Application performance on a Cluster-Booster system. - K. S. D. Ishwari, A. K. R. R. Aneeze, S. Sudheesan, H. J. D. A. Karunaratne, Anupiya Nugaliyadde, Yashas Mallawarachchi:
Advances in Natural Language Question Answering: A Review. - Jean-François Tremblay, Martin Beland, François Pomerleau, Richard Gagnon, Philippe Giguère:
Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations. - Christian Porter, Shanxiang Lyu, Cong Ling:
On the Optimality of Gauss's Algorithm over Euclidean Imaginary Quadratic Fields. - Navid Rezazadeh, Solmaz S. Kia:
Privacy preservation in continuous-time average consensus algorithm via deterministic additive perturbation signals. - Junhwa Hur, Stefan Roth:
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. - Victor Stany Rozario, A. Z. M. Ehtesham Chowdhury, Muhammad Sarwar Jahan Morshed:
Community Detection in Social Network using Temporal Data. - Qiuchi Li, Benyou Wang, Massimo Melucci:
CNM: An Interpretable Complex-valued Network for Matching. - Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan:
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs. - Tamara Radivilova, Lyudmyla Kirichenko, Oleksandra Yeremenko:
Calculation of routing value in MPLS network according to traffic fractal properties. - Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon:
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. - Davide Bennato, Giuseppe Pernagallo, Benedetto Torrisi:
A Classification Algorithm to Recognize Fake News Websites. - Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, Karen O'Connor, Arjun Magge Ranganatha, Graciela Gonzalez-Hernandez:
Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets. - Xi Chen, Erik Waingarten:
Testing Unateness Nearly Optimally. - Amin Azari:
Bitcoin Price Prediction: An ARIMA Approach. - Steve Tueno, Romeo Tabue, Florentin Jiechieu, Yacynth Ndonna, Billy Zafack, Audric Feuyan, Jonas Atibita, Alex Djouontse, Rodrigue Mbinkeu:
Pear2Pear (On Wifi): A Data Sharing Protocol Over Wifi through a Peer to Peer Network. - Michael Yu. Romanovsky:
Distribution of scientific journals impact factor. - Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla:
Risk Aware Ranking for Top-k Recommendations. - Jialun "Aaron" Jiang, Jed R. Brubaker:
Tending Unmarked Graves: Classification of Post-mortem Content on Social Media. - Philip Leifeld, Laurence Brandenberger:
Endogenous Coalition Formation in Policy Debates. - Sayan Putatunda:
PropTech for Proactive Pricing of Houses in Classified Advertisements in the Indian Real Estate Market. - Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Joshua T. Vogelstein:
GraSPy: Graph Statistics in Python. - Marina S. Paez, Arash A. Amini, Lizhen Lin:
Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks. - Aditya Bharadwaj, Aditya Narendra Rao, Akash Kulhalli, Kushal Samir Mehta, Nishant Bhattacharya, Pratul Ramkumar, Nitish Nag, Ramesh C. Jain, Dinkar Sitaram:
Flavour Based Food Recommendation. - Guilherme Gomes, Vinayak A. Rao, Jennifer Neville:
Community detection over a heterogeneous population of non-aligned networks. - Francesco Sanna Passino, Nicholas A. Heard:
Bayesian estimation of the latent dimension and communities in stochastic blockmodels. - Vincent Miele, Catherine Matias, Stéphane Robin, Stéphane Dray:
Nine Quick Tips for Analyzing Network Data. - Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao:
Adapting Stochastic Block Models to Power-Law Degree Distributions. - Kexin Huang, Jaan Altosaar, Rajesh Ranganath:
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission. - Matthew Tancik, Ben Mildenhall, Ren Ng:
StegaStamp: Invisible Hyperlinks in Physical Photographs. - John W. Lawson, Mehdi Goli, Duncan McBain, Daniel Soutar, Louis Sugy:
Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels. - Bugra Tekin, Federica Bogo, Marc Pollefeys:
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions. - Mostafa Mirzaie, Behshid Behkamal, Samad Paydar:
Big Data Quality: A systematic literature review and future research directions. - Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz:
Pixel-Adaptive Convolutional Neural Networks. - Daniela Vianna, Varvara Kalokyri, Alexander Borgida, Thu D. Nguyen, Amélie Marian:
Searching Heterogeneous Personal Digital Traces. - Xudong Sun, Jiali Lin, Bernd Bischl:
ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning. - Garreth W. Tigwell, Zhanna Sarsenbayeva, Benjamin M. Gorman, David R. Flatla, Jorge Gonçalves, Yeliz Yesilada, Jacob O. Wobbrock:
Proceedings of the CHI'19 Workshop: Addressing the Challenges of Situationally-Induced Impairments and Disabilities in Mobile Interaction. - Andrew K. Adams, Kay Avila, Jim Basney, Dana Brunson, Robert Cowles, Jeannette Dopheide, Terry Fleury, Elisa Heymann, Florence D. Hudson, Craig Jackson, Ryan Kiser, Mark Krenz, Jim Marsteller, Barton P. Miller, Sean Peisert, Scott Russell, Susan Sons, Von Welch, John Zage:
Trusted CI Experiences in Cybersecurity and Service to Open Science. - Paula Fraga-Lamas, Tiago M. Fernández-Caramés:
Leveraging Distributed Ledger Technologies and Blockchain to Combat Fake News. - Eunice Jun, Maureen Daum, Jared Roesch, Sarah E. Chasins, Emery D. Berger, René Just, Katharina Reinecke:
Tea: A High-level Language and Runtime System for Automating Statistical Analysis. - Michael J. Sullivan, Karl Crary, Salil Joshi:
Compiling a Calculus for Relaxed Memory: Practical constraint-based low-level concurrency. - Joshua Brakensiek, Aviad Rubinstein:
Constant-factor approximation of near-linear edit distance in near-linear time. - Mohamed Akrout, Collin Wilson, Peter Conway Humphreys, Timothy P. Lillicrap, Douglas B. Tweed:
Deep Learning without Weight Transport. - Nina Schaaf, Marco F. Huber:
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. - Yuta Nakahara, Toshiyasu Matsushima:
Covariance Evolution for Spatially "Mt. Fuji" Coupled LDPC Codes. - Welington Santos:
On Fractional Decoding of Reed-Solomon Codes. - Anatolij Zubow, Piotr Gawlowicz, Suzan Bayhan:
Deep Learning for Cross-Technology Communication Design. - George Androulakis, Duncan Wright:
Optimality in Quantum Data Compression using Dynamical Entropy. - Shuai Liao, Efstratios Gavves, Cees G. M. Snoek:
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres. - Cogan Shimizu, Quinn Hirt, Pascal Hitzler:
MODL: A Modular Ontology Design Library. - (Withdrawn) Sliced Wasserstein Generative Models.
- Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai:
Attentive Action and Context Factorization. - Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister:
Deep Learning for System Trace Restoration. - Leah Bar, Nir A. Sochen:
Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems. - Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. - Nan Li, Yu Yao, Ilya V. Kolmanovsky, Ella M. Atkins, Anouck Girard:
Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections. - Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May:
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. - Sabri Ghazi, Julie Dugdale, Tarek Khadir:
A Multi-Agent based Approach for Simulating the Impact of Human Behaviours on Air Pollution. - Issam W. Damaj:
Parallel Algorithms Development for Programmable Devices with Application from Cryptography. - Marco Rovera, Federico Nanni, Simone Paolo Ponzetto:
Providing Advanced Access to Historical War Memoirs Through the Identification of Events, Participants and Roles. - Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus H. Gross, Ashutosh Modi:
Generating Animations from Screenplays. - Florian Zaruba, Luca Benini:
The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology. - Alejandro Pardo, Mengmeng Xu, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
BAOD: Budget-Aware Object Detection. - Cliceres Mack Dal Bianco, Soraia Raupp Musse:
Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation. - Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices. - Aviad Rubinstein, Zhao Song:
Reducing approximate Longest Common Subsequence to approximate Edit Distance. - Sarvar Patel, Giuseppe Persiano, Kevin Yeo:
What Storage Access Privacy is Achievable with Small Overhead? - Yifei Xu, Tianyang Zhao, Chris L. Baker, Yibiao Zhao, Ying Nian Wu:
Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models. - Boyang Peng, Mohammad Hosseini, Zhihao Hong, Reza Farivar, Roy H. Campbell:
R-Storm: Resource-Aware Scheduling in Storm. - Guanqing Hu, James J. Clark:
Instance Segmentation based Semantic Matting for Compositing Applications. - Michal Koucký, Michael E. Saks:
Constant factor approximations to edit distance on far input pairs in nearly linear time. - Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Less is More: Real-time Failure Localization in Power Systems. - Monika Henzinger, Stefan Neumann, Stefan Schmid:
Efficient Distributed Workload (Re-)Embedding. - Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. - Nisha Panwar, Shantanu Sharma, Sharad Mehrotra, Lukasz Krzywiecki, Nalini Venkatasubramanian:
Smart Home Survey on Security and Privacy. - Boris Babenko, Siva Balasubramanian, Katy E. Blumer, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan:
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning. - Ankur Moitra, Elchanan Mossel, Colin Sandon:
The Circuit Complexity of Inference. - Federico Brunero, Daniela Tuninetti, Natasha Devroye:
On Code Design for Wireless Channels with Additive Radar Interference. - Jiahui Chen, Haoyu Yin, Xiaowen You, Yanlin Geng, Youlong Wu:
Centralized Coded Caching with User Cooperation. - Sean Tao:
Deep Neural Network Ensembles. - Juan Liu, Kevin M. Koch:
Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion. - Yuepeng Wang, James Dong, Rushi Shah, Isil Dillig:
Synthesizing Database Programs for Schema Refactoring. - Lulu Zhang, Jun Zhang, Minghui Yang, Keqin Feng:
On the 2-Adic Complexity of the Ding-Helleseth-Martinsen Binary Sequences. - Sorami Hisamoto, Matt Post, Kevin Duh:
Membership Inference Attacks on Sequence-to-Sequence Models. - Shiva Prasad Kasiviswanathan, Mark Rudelson:
Restricted Isometry Property under High Correlations. - Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, Jimmy S. J. Ren:
Generalizing Monocular 3D Human Pose Estimation in the Wild. - Proteek Chandan Roy, Vishnu Naresh Boddeti:
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. - Uttaran Bhattacharya, Venu Madhav Govindu:
Efficient and Robust Registration on the 3D Special Euclidean Group. - Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma:
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations. - Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. - Jonathan Dunn:
Modeling Global Syntactic Variation in English Using Dialect Classification. - Mandrita Mondal, Kumar Sankar Ray:
Review on DNA Cryptography. - Jonathan Dunn:
Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar. - Woojeong Jin, Changlin Zhang, Pedro A. Szekely, Xiang Ren:
Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. - Frank Ban, Xi Chen, Adam Freilich, Rocco A. Servedio, Sandip Sinha:
Beyond trace reconstruction: Population recovery from the deletion channel. - Murray Tannock, Michael Albert:
Prolific Compositions. - Leonid Keselman, Martial Hebert:
Direct Fitting of Gaussian Mixture Models. - Annie Xie, Frederik Ebert, Sergey Levine, Chelsea Finn:
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight. - Jason Castiglione, Dusko Pavlovic, Peter-Michael Seidel:
Privacy protocols. - Hanan Aldarmaki, Mona T. Diab:
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings. - Yi Li, Ruosong Wang, David P. Woodruff:
Tight Bounds for the Subspace Sketch Problem with Applications. - Zhuo Lei, Chao Zhang, Qian Zhang, Guoping Qiu:
FrameRank: A Text Processing Approach to Video Summarization. - Chen Li, Gim Hee Lee:
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network. - Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu:
Reasoning Visual Dialogs with Structural and Partial Observations. - Phu Lai, Qiang He, Mohamed Abdelrazek, Feifei Chen, John G. Hosking, John C. Grundy, Yun Yang:
Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing. - Muhammad Habib Ur Rehman, Ibrar Yaqoob, Khaled Salah, Muhammad Imran, Prem Prakash Jayaraman, Charith Perera:
The Role of Big Data Analytics in Industrial Internet of Things. - Charlotte Rudnik, Thibault Ehrhart, Olivier Ferret, Denis Teyssou, Raphaël Troncy, Xavier Tannier:
Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata. - Huawei Wei, Shuang Liang, Yichen Wei:
3D Dense Face Alignment via Graph Convolution Networks. - Pham Ngoc Phuong, Quoc Truong Do, Luong Chi Mai:
A high quality and phonetic balanced speech corpus for Vietnamese. - Ioannis Papachristos, Dimitrios G. Pandelis:
Optimal Dynamic Allocation of Collaborative Servers in Two Station Tandem Systems. - René Mayrhofer, Jeffrey Vander Stoep, Chad Brubaker, Nick Kralevich:
The Android Platform Security Model. - Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov, Alexandr Kozlov:
STC Antispoofing Systems for the ASVspoof2019 Challenge. - Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
FRNET: Flattened Residual Network for Infant MRI Skull Stripping. - Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu:
Recurrent Space-time Graphs for Video Understanding. - Jorge A. Balazs, Yutaka Matsuo:
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study. - Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. - Pablo Ramirez-Espinosa, Jules Merlin Mouatcho Moualeu, Daniel Benevides da Costa, Francisco Javier López-Martínez:
The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications. - Jonathan Dunn:
Modeling the Complexity and Descriptive Adequacy of Construction Grammars. - Jingjing Zhang, Osvaldo Simeone:
On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems. - Nurul Huda Mahmood, Renato Abreu, Ronald Böhnke, Martin Schubert, Gilberto Berardinelli, Thomas H. Jacobsen:
Uplink Grant-Free Random Access Solutions for URLLC services in 5G New Radio. - Guidedi Kaladzavi, Papa Fary Diallo, Cedric Béré, Olivier Corby, Isabelle Mirbel, Moussa Lo, Kolyang:
Ontologies-based Architecture for Sociocultural Knowledge Co-Construction Systems. - Jirí Martínek, Pavel Král, Ladislav Lenc, Christophe Cerisara:
Multi-lingual Dialogue Act Recognition with Deep Learning Methods. - Inbar Huberman, Raanan Fattal:
Reducing Lateral Visual Biases in Displays. - Fabrice Guillemin, Verónica Quintuna Rodriguez, Alain Simonian:
A Processor-Sharing model for the Performance of Virtualized Network Functions. - Manuel Gieseking, Ernst-Rüdiger Olderog:
High-Level Representation of Benchmark Families for Petri Games. - Lukas Holzbaur, Sven Puchinger, Antonia Wachter-Zeh:
On Error Decoding of Locally Repairable and Partial MDS Codes. - Suah Kim, Vasily Sachnev, Hyoung Joong Kim:
Solving the large syndrome calculation problem in steganography. - Alkida Balliu, Juho Hirvonen, Christoph Lenzen, Dennis Olivetti, Jukka Suomela:
Locality of not-so-weak coloring. - Inbar Huberman, Raanan Fattal:
Detecting Repeating Objects using Patch Correlation Analysis. - Charanjeet, Anuj Sharma:
Modified online Newton step based on element wise multiplication. - (Withdrawn) Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems.
- Jisun An, Haewoon Kwak, Oliver Posegga, Andreas Jungherr:
Political Discussions in Homogeneous and Cross-Cutting Communication Spaces. - Yun Jiang, Ning Tan, Tingting Peng, Hai Zhang:
Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network. - Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye:
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. - Paul Caillet, Yohan Dupuis:
Efficient LiDAR data compression for embedded V2I or V2V data handling. - Arnesh Sen, Kaustav Sen, Jayoti Das:
Software Based Higher Order Structural Foot Abnormality Detection Using Image Processing. - Fabrice Guillemin, Verónica Quintuna Rodriguez:
On the sojourn of an arbitrary customer in an M/M/1 Processor Sharing Queue. - Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi:
MxML: Mixture of Meta-Learners for Few-Shot Classification. - Rodolfo V. Valentim, Rodolfo da Silva Villaça, Moisés R. N. Ribeiro, Magnos Martinello, Cristina K. Dominicini, Diego R. Mafioletti:
RDNA Balance: Load Balancing by Isolation of Elephant Flows using Strict Source Routing. - Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM. - Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan:
YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving. - Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos:
Cross-topic distributional semantic representations via unsupervised mappings. - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Deep Back-Projection Networks for Single Image Super-resolution. - Alexandre Kaspar, Liane Makatura, Wojciech Matusik:
Knitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments. - Benjamin Doerr, Timo Kötzing:
Multiplicative Up-Drift. - Rhys Newbury, Akansel Cosgun, Mehmet Köseoglu, Tom Drummond:
Learning to Take Good Pictures of People with a Robot Photographer. - Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero:
Elucidating image-to-set prediction: An analysis of models, losses and datasets. - Vahid Pourheidari, Sara Rouhani, Ralph Deters:
A Case Study of Execution of Untrusted Business Process on Permissioned Blockchain. - Nick Moran, Chiraag Juvekar:
Reconstructing Network Inputs with Additive Perturbation Signatures. - Tyler M. Smith, Robert A. van de Geijn:
The MOMMS Family of Matrix Multiplication Algorithms. - Hanan Hindy, David Brosset, Ethan Bayne, Amar Seeam, Xavier J. A. Bellekens:
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning. - Shreyas Kousik, Patrick D. Holmes, Ramanarayan Vasudevan:
Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Design. - Xiang Chen, Lingbo Qing, Xiaohai He, Xiaodong Luo, Yining Xu:
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation. - Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. - Hadi Abdullah, Washington Garcia, Christian Peeters, Patrick Traynor, Kevin R. B. Butler, Joseph Wilson:
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems. - Fatima Hussain, Rasheed Hussain, Syed Ali Hassan, Ekram Hossain:
Machine Learning in IoT Security: Current Solutions and Future Challenges. - Jingwei Li, Patrick P. C. Lee, Chufeng Tan, Chuan Qin, Xiaosong Zhang:
Information Leakage in Encrypted Deduplication via Frequency Analysis: Attacks and Defenses. - Siddhant Arora, Andrew Yates:
Investigating Retrieval Method Selection with Axiomatic Features. - Farzam Fanitabasi:
TG-PSM: Tunable Greedy Packet Sequence Morphing Based on Trace Clustering. - Ju-Chieh Chou, Cheng-chieh Yeh, Hung-yi Lee:
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization. - Pramit Saha, Muhammad Abdul-Mageed, Sidney S. Fels:
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning. - Yonghong Huang, Utkarsh Verma, Celeste Fralick, Gabriel Infante-Lopez, Brajesh Kumar, Carl Woodward:
Malware Evasion Attack and Defense. - Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
Percolation Threshold for Competitive Influence in Random Networks. - Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor:
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman. - Tinkle Chugh:
Scalarizing Functions in Bayesian Multiobjective Optimization. - Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning joint reconstruction of hands and manipulated objects. - Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau:
The Convergence of Iterative Delegations in Liquid Democracy in a Social Network. - Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong:
Corpora Generation for Grammatical Error Correction. - Shaahin Angizi, Deliang Fan:
Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform. - Frédéric Gruau:
Modular programming of computing media using spatial types, for artificial physics. - N. C. Shrikanth, Tim Menzies:
Assessing Developer Beliefs: A Reply to "Perceptions, Expectations, and Challenges in Defect Prediction". - Rui Lebre, Luís Bastião, Carlos Costa:
A Secure Architecture for Standard Medical Imaging Repositories. - Maozhen Wang, Xianchao Long, Peng Chang, Taskin Padir:
Autonomous Robot Navigation with Rich Information Mapping in Nuclear Storage Environments. - Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael I. Jordan:
Bridging Theory and Algorithm for Domain Adaptation. - Jinghui Qin, Ziwei Xie, Yukai Shi, Wushao Wen:
Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network. - Dan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Y. Hammerla:
Relational Graph Attention Networks. - Tolga Birdal, Umut Simsekli:
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope. - Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard:
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care. - Yuqing Wang, Mika Mäntylä, Sigrid Eldh, Jouni Markkula, Kristian Wiklund, Tatu Kairi, Päivi Raulamo-Jurvanen, Antti Haukinen:
A self-assessment Instrument for assessing test automation maturity. - Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron:
Learning Single Camera Depth Estimation using Dual-Pixels. - Kechen Qin, Cheng Li, Virgil Pavlu, Javed A. Aslam:
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction. - Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale:
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling. - Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. - Amanda Bienz, Luke N. Olson, William Gropp:
Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication. - Leon A. Wilson, Yoann Senin, Yibin Wang, Václav Rajlich:
Empirical Study of Phased Model of Software Change. - Lucas Gren:
The links between agile practices, interpersonal conflict, and perceived productivity. - Khaled Walid Al-Sabbagh, Lucas Gren:
The Connections Between Group Maturity, Software Development Velocity and Planning Effectiveness. - Mohamed Baza, Mahmoud Nabil, Niclas Bewermeier, Kemal Fidan, Mohamed Mahmoud, Mohamed M. Abdallah:
Detecting Sybil Attacks using Proofs of Work and Location in VANETs. - Juan Leon Alcazar, María Alejandra Bravo, Ali K. Thabet, Guillaume Jeanneret, Thomas Brox, Pablo Arbeláez, Bernard Ghanem:
MAIN: Multi-Attention Instance Network for Video Segmentation. - Noga Agmon, Asaf Shabtai, Rami Puzis:
Deployment Optimization of IoT Devices through Attack Graph Analysis. - Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-training for Speech Recognition. - Prabhu Kaliyammal Thiruvasagam, Vijeth J. Kotagi, C. Siva Ram Murthy:
The More the Merrier: Enhancing Reliability of 5G Communication Services with Guaranteed Delay. - Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black:
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image. - Luigi Di Tacchio, Md. S. Q. Zulkar Nine, Tevfik Kosar, Muhammed Fatih Bulut, Jinho Hwang:
Energy-Efficient High-Throughput Data Transfers via Dynamic CPU Frequency and Core Scaling. - Adrian Bulat, Georgios Tzimiropoulos, Jean Kossaifi, Maja Pantic:
Improved training of binary networks for human pose estimation and image recognition. - Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle:
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. - Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis:
An Analysis of Pre-Training on Object Detection. - Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai:
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. - Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. - Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing:
Max-Sliced Wasserstein Distance and its use for GANs. - Iou-Jen Liu, Jian Peng, Alexander G. Schwing:
Knowledge Flow: Improve Upon Your Teachers. - Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. - Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. - Matthias Ehrendorfer, Juergen-Albrecht Fassmann, Juergen Mangler, Stefanie Rinderle-Ma:
Combining Conformance Checking and Classification of XES Log Data for the Manufacturing Domain. - Qunxi Zhu, Zuguang Gao, Yang Liu, Weihua Gui:
Categorization Problem on Controllability of Boolean Control Networks. - Zhuqing Jia, Syed Ali Jafar:
On the Asymptotic Capacity of X-Secure T-Private Information Retrieval with Graph Based Replicated Storage. - Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Pietro Perona:
Synthetic Examples Improve Generalization for Rare Classes. - Igor Ivanisenko, Tamara Radivilova:
Survey of Major Load Balancing Algorithms in Distributed System. - George Kesidis, Takis Konstantopoulos, Michael A. Zazanis:
The distribution of age-of-information performance measures for message processing systems. - Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova:
Investigation of Self-similar Properties of Additive Data Traffic. - Dmytro Ageyev, Lyudmyla Kirichenko, Tamara Radivilova, Maksym Tawalbeh, Oleksii Baranovskyi:
Method of Self-Similar Load Balancing in Network Intrusion Detection System. - Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. - Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou:
Ranking-Based Autoencoder for Extreme Multi-label Classification. - Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning Digital Camera Pipeline for Extreme Low-Light Imaging. - Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos:
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. - Márton Véges, András Lörincz:
Absolute Human Pose Estimation with Depth Prediction Network. - Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl:
Variational AutoEncoder For Regression: Application to Brain Aging Analysis. - Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos:
Strong Baselines for Complex Word Identification across Multiple Languages. - Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. - Rodrigo A. Ricco, Bruno Otávio Soares Teixeira:
Mapping prior information onto LMI eigenvalue-regions for discrete-time subspace identification. - Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. - Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. - Yuri Faenza, Telikepalli Kavitha:
Quasi-popular Matchings, Optimality, and Extended Formulations. - Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba:
The Sound of Motions. - Issam W. Damaj:
Parallel algorithms development for programmable logic devices. - Jon Hoffman:
Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network. - Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona:
The iWildCam 2018 Challenge Dataset. - Shunki Kyoya, Ken'ichiro Tanaka:
Construction of conformal maps based on the locations of singularities for improving the double exponential formula. - Hamed AlQahtani, Manolya Kavakli-Thorne, Charles Z. Liu:
An Introduction to Person Re-identification with Generative Adversarial Networks. - Fangcao Xu, Bruce A. Desmarais, Donna J. Peuquet:
STAND: A Spatio-Temporal Algorithm for Network Diffusion Simulation. - Md. Nasir, Sandeep Nallan Chakravarthula, Brian R. Baucom, David C. Atkins, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance. - Qiuyu Zhu, Pengju Zhang, Xin Ye:
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids. - Aloni Cohen, Kobbi Nissim:
Towards Formalizing the GDPR's Notion of Singling Out. - Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu:
Real-Time Dense Stereo Embedded in A UAV for Road Inspection. - Gaurav Sahu:
Multimodal Speech Emotion Recognition and Ambiguity Resolution. - Balaji Arun, Sebastiano Peluso, Binoy Ravindran:
ezBFT: Decentralizing Byzantine Fault-Tolerant State Machine Replication. - Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao:
A Light Dual-Task Neural Network for Haze Removal. - Yeping Hu, Alireza Nakhaei, Masayoshi Tomizuka, Kikuo Fujimura:
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios. - Lingyun Jiang, Kai Qiao, Ruoxi Qin, Linyuan Wang, Jian Chen, Haibing Bu, Bin Yan:
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense. - Chencheng Ye, Ying Cui, Yang Yang, Rui Wang:
Optimal Caching Designs for Perfect, Imperfect and Unknown File Popularity Distributions in Large-Scale Multi-Tier Wireless Networks. - Saurabh Singh, Abhinav Shrivastava:
EvalNorm: Estimating Batch Normalization Statistics for Evaluation. - Ye Jia, Ron J. Weiss, Fadi Biadsy, Wolfgang Macherey, Melvin Johnson, Zhifeng Chen, Yonghui Wu:
Direct speech-to-speech translation with a sequence-to-sequence model. - Ravi Shekhar, Ece Takmaz, Raquel Fernández, Raffaella Bernardi:
Evaluating the Representational Hub of Language and Vision Models. - Victoria Huang, Gang Chen, Qiang Fu:
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning. - Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology. - Bilal Ahmed Lodhi:
Unsupervised Method to Localize Masses in Mammograms. - Chun-Hsien Yu, Chun-Nan Chou, Emily Chang:
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. - Ivan Heibi, Silvio Peroni, David M. Shotton:
COCI, the OpenCitations Index of Crossref open DOI-to-DOI citations. - Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini Scarzanella:
Unifying Heterogeneous Classifiers with Distillation. - Liumeng Xue, Wei Song, Guanghui Xu, Lei Xie, Zhizheng Wu:
Building a mixed-lingual neural TTS system with only monolingual data. - Martin Brossard, Axel Barrau, Silvère Bonnabel:
AI-IMU Dead-Reckoning. - Siddhartha S. Borkotoky, Christian Bettstetter, Udo Schilcher, Christian Raffelsberger:
Allocation of Repetition Redundancy in LoRa. - Viola Rieger, Alexander Zeh:
Parity-Based Concurrent Error Detection Schemes for the ChaCha Stream Cipher. - Mahmoud Al-Faris, John P. Chiverton, Yanyan Yang, David L. Ndzi:
Multi-View Region Adaptive Multi-temporal DMM and RGB Action Recognition. - Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh:
RNN-based speech synthesis using a continuous sinusoidal model. - Camille Coti, David Monniaux, Hang Yu:
Parallel parametric linear programming solving, and application to polyhedral computations. - Dagoberto Porras, Alexander Sepúlveda-Sepúlveda, Tamás Gábor Csapó:
DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging. - Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji:
Digging Deeper into Egocentric Gaze Prediction. - Sergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky, Andrey Shulipa, Galina Lavrentyeva, Vladimir Volokhov, Alexandr Kozlov:
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge. - Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks. - Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai:
Adapting Sequence to Sequence models for Text Normalization in Social Media. - Anca Dumitrache, Lora Aroyo, Chris Welty:
A Crowdsourced Frame Disambiguation Corpus with Ambiguity. - Yasir Mahmood, Arne Meier:
Parametrised Complexity of Model Checking and Satisfiability in Propositional Dependence Logic. - Xiaowei Yuan, In Kyu Park:
Face De-occlusion using 3D Morphable Model and Generative Adversarial Network. - Joachim Berg, Nils Gustav Andreas Berggren, Sivert Allergodt Borgeteien, Christian Ruben Alexander Jahren, Arqam Sajid, Stefano Nichele:
Evolved Art with Transparent, Overlapping, and Geometric Shapes. - Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker:
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. - Tousif Ahmed, Rakibul Hasan, Kay Connelly, David J. Crandall, Apu Kapadia:
Conveying Situational Information to People with Visual Impairments. - M. Elgin Akpinar, Yeliz Yesilada, Selim Temizer:
Ability and Context Based Adaptive System: A Proposal for Machine Learning Approach. - Tigmanshu Bhatnagar, Youngjun Cho, Nicolai Marquardt, Catherine Holloway:
Expressive haptics for enhanced usability of mobile interfaces in situations of impairments. - Nayeri Jacobo:
Method Cards for Designing for Situational Impairment. - Varun Jain, Ramya Hebbalaguppe:
AirPen: A Touchless Fingertip Based Gestural Interface for Smartphones and Head-Mounted Devices. - Gisela Reyes-Cruz, Joel E. Fischer, Stuart Reeves:
An ethnographic study of visual impairments for voice user interface design. - Alastair Gregory, F. Din-Houn Lau, Alex Tessier, Pan Zhang:
A streaming feature-based compression method for data from instrumented infrastructure. - Zhanna Sarsenbayeva, Vassilis Kostakos, Jorge Gonçalves:
Situationally-Induced Impairments and Disabilities Research. - Sidas A. Saulynas, Ravi Kuber:
Designing Mobile Interaction Guidelines to Account for Situationally Induced Impairments and Disabilities (SIID) and Severely Constraining Situational Impairments (SCSI). - Shreepriya Shreepriya, Danilo Gallo, Sruthi Viswanathan, Jutta Willamowski:
Situationally Induced Impairment in Navigation Support for Runners. - Osian Smith, Stephen Lindsay:
Looking At Situationally-Induced Impairments And Disabilities (SIIDs) With People With Cognitive Brain Injury. - Aaron Steinfeld, John Zimmerman, Anthony Tomasic:
Universal Design and Adaptive Interfaces as a Strategy for Induced Disabilities. - Paul Whittington, Huseyin Dogan, Nan Jiang, Keith Phalp:
The development and evaluation of the SmartAbility Android Application to detect users' abilities. - Fedor V. Fomin, Petr A. Golovach, Fahad Panolan, Kirill Simonov:
Low-rank binary matrix approximation in column-sum norm. - Ari Heljakka, Arno Solin, Juho Kannala:
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. - Chris Schwiegelshohn, Uwe Schwiegelshohn:
Maximizing Online Utilization with Commitment. - Felipe R. Monteiro, Mikhail Y. R. Gadelha, Lucas C. Cordeiro:
Boost the Impact of Continuous Formal Verification in Industry. - Fredrik Bagge Carlson:
On the Calibration of Force/Torque Sensors in Robotics. - Thomas Ehrhard, Maribel Fernández, Valeria de Paiva, Lorenzo Tortora de Falco:
Proceedings Joint International Workshop on Linearity & Trends in Linear Logic and Applications, Linearity-TLLA@FLoC 2018, Oxford, UK, 7-8 July 2018. EPTCS 292, 2019 [contents] - Marijn van Vliet:
Guidelines for data analysis scripts. - René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. - Titus Dose:
P-Optimal Proof Systems for Each Set in NP but no Complete Disjoint NP-pairs Relative to an Oracle. - Marthe Bonamy, Nicolas Bousquet, Marc Heinrich, Takehiro Ito, Yusuke Kobayashi, Arnaud Mary, Moritz Mühlenthaler, Kunihiro Wasa:
The Perfect Matching Reconfiguration Problem. - (Withdrawn) Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients.
- Shiheng Ma, Jingcai Guo, Song Guo, Minyi Guo:
Position-Aware Convolutional Networks for Traffic Prediction. - Ze-Feng Gao, Song Cheng, Rong-Qiang He, Zhi-Yuan Xie, Hui-Hai Zhao, Zhong-Yi Lu, Tao Xiang:
Compressing deep neural networks by matrix product operators. - Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin:
Simulation of hyperelastic materials in real-time using Deep Learning. - Hassan B. Diab, Issam W. Damaj:
Cyclic Coding Algorithms under MorphoSys Reconfigurable Computing System. - Gor Mack Diouf, Halima Elbiaze, Wael Jaafar:
On Byzantine Fault Tolerance in Multi-Master Kubernertes Clusters. - Javier Lamar-León, Rocío González-Díaz, Edel B. García Reyes:
Topological signature for periodic motion recognition. - João Henrique G. M. Corrêa, Patrick Marques Ciarelli, Moisés R. N. Ribeiro, Rodolfo da Silva Villaça:
On Machine Learning DoS Attack Identification from Cloud Computing Telemetry. - Elad Domanovitz, Silas L. Fong, Ashish Khisti:
An Explicit Rate-Optimal Streaming Code for Channels with Burst and Arbitrary Erasures. - Artur Costa-Pazo, David Jimenez-Cabello, Esteban Vázquez-Fernández, José Luis Alba-Castro, Roberto Javier López-Sastre:
Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal. - Adrien Bitton, Philippe Esling, Antoine Caillon, Martin Fouilleul:
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders. - Federico Nanni, Goran Glavas, Simone Paolo Ponzetto, Heiner Stuckenschmidt:
Political Text Scaling Meets Computational Semantics. - Sasinee Pruekprasert, Jérémy Dubut, Xiaoyi Zhang, Chao Huang, Masako Kishida:
A Game Theoretic Approach to Decision Making for Multiple Vehicles at Roundabout. - Erik Sy, Christian Burkert, Tobias Mueller, Hannes Federrath, Mathias Fischer:
QUICker connection establishment with out-of-band validation tokens. - George T. Hall, Pietro S. Oliveto, Dirk Sudholt:
On the Impact of the Cutoff Time on the Performance of Algorithm Configurators. - Shreyansh Singh, Avi Chawla, Ayush Sharma, Anil Kumar Singh:
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation. - Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala:
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. - James Butterworth, Rahul Savani, Karl Tuyls:
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT. - Sahar Mohajerani, Stéphane Lafortune:
Transforming opacity verification to nonblocking verification in modular systems. - Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart:
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning. - Jingcai Guo, Shiheng Ma, Song Guo:
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution. - Nicolas P. Couellan:
The coupling effect of Lipschitz regularization in deep neural networks. - Jingcai Guo, Song Guo:
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. - Saeed Ghoorchian, Setareh Maghsudi:
Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty. - Eric Benhamou:
Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL). - Francesco Tonolini, Ashley Lyons, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith:
Variational Inference for Computational Imaging Inverse Problems. - Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis:
ACE: Adapting to Changing Environments for Semantic Segmentation. - Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. - Samira Briongos, Pedro Malagón, José Manuel Moya, Thomas Eisenbarth:
RELOAD+REFRESH: Abusing Cache Replacement Policies to Perform Stealthy Cache Attacks. - Bin Sun, Chen Chen, Yingying Zhu, Jianmin Jiang:
GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network. - Lucas Gren:
Agile Process Consultation - An Applied Psychology Approach to Agility. - Lucas Gren, Per Lenberg:
The Importance of Conflict Resolution Techniques in Autonomous Agile Teams. - Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone:
CITE: A Corpus of Image-Text Discourse Relations. - David J. Miller, Zhen Xiang, George Kesidis:
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks. - László Csató:
Journal ranking should depend on the level of aggregation. - Mingde Zhao, Hongwei Ge, Kai Zhang, Yaqing Hou:
A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation. - Wenjing Huang, Shikui Tu, Lei Xu:
Revisit Lmser and its further development based on convolutional layers. - Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang:
Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret. - Menno H. Schellekens, Floris Holstege, Taha Yasseri:
Female scholars need to achieve more for equal public recognition. - Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet:
When does OMP achieve support recovery with continuous dictionaries? - Kaleigh Clary, Emma Tosch, John Foley, David D. Jensen:
Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments. - Florent Avellaneda:
Learning Optimal Decision Trees from Large Datasets. - Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò, R. Devon Hjelm:
Spatio-Temporal Deep Graph Infomax. - Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum:
Few-Shot Bayesian Imitation Learning with Logic over Programs. - Kesha Hietala, Robert Rand, Shih-Han Hung, Xiaodi Wu, Michael Hicks:
Verified Optimization in a Quantum Intermediate Representation. - Haimin Chen, Chaodong Zheng:
Fast and Resource Competitive Broadcast in Multi-channel Radio Networks. - Isidro Cortes-Ciriano, Andreas Bender:
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout. - Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Incremental multi-domain learning with network latent tensor factorization. - Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot K. Fishman, Alan L. Yuille:
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation. - Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth:
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation. - Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, Junni Zou:
Towards Accurate One-Stage Object Detection with AP-Loss. - Greg Henry, Ping Tak Peter Tang, Alexander Heinecke:
Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations. - Jun Guo, Saeed Karimi-Bidhendi, Hamid Jafarkhani:
Energy Efficient Node Deployment in Wireless Ad-hoc Sensor Networks. - Daniel S. Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum:
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations. - Luis A. Lastras:
Information Theoretic Lower Bounds on Negative Log Likelihood. - Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Macrocanonical Models for Texture Synthesis. - Yuxin Hou, Juho Kannala, Arno Solin:
Multi-View Stereo by Temporal Nonparametric Fusion. - Leonel Merino, Mario Hess, Alexandre Bergel, Oscar Nierstrasz, Daniel Weiskopf:
PerfVis: Pervasive Visualization in Immersive AugmentedReality for Performance Awareness. - Jianguo Chen, Kenli Li, Qingying Deng, Keqin Li, Philip S. Yu:
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing. - Lionel P. Robert Jr.:
The Future of Pedestrian Automated Vehicle Interactions. - Michael A. Specter, Sunoo Park, Matthew Green:
KeyForge: Mitigating Email Breaches with Forward-Forgeable Signatures. - Fannie Liu, Mario Esparza, Maria Pavlovskaia, Geoff Kaufman, Laura Dabbish, Andrés Monroy-Hernández:
Animo: Sharing Biosignals on a Smartwatch for Lightweight Social Connection. - Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Patch redundancy in images: a statistical testing framework and some applications. - Ugo Rosolia, Francesco Borrelli:
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. - Akinori Mitani, Yun Liu, Abigail E. Huang, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan:
Detecting Anemia from Retinal Fundus Images. - Monika Roznere, Alberto Quattrini Li:
Real-time Model-based Image Color Correction for Underwater Robots. - John Adler, Mikerah Quintyne-Collins:
Building Scalable Decentralized Payment Systems. - Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta:
Remaining Useful Life Estimation Using Functional Data Analysis. - Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates with Structured Implicit Functions. - John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Temporal Network Representation Learning. - Yuetsu Kodama, Tetsuya Odajima, Akira Asato, Mitsuhisa Sato:
Evaluation of the RIKEN Post-K Processor Simulator. - Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos:
L1-norm Tucker Tensor Decomposition. - Yilin Wang, Sasi Inguva, Balu Adsumilli:
YouTube UGC Dataset for Video Compression Research. - Kyle Olszewski, Sergey Tulyakov, Oliver J. Woodford, Hao Li, Linjie Luo:
Transformable Bottleneck Networks. - Jerrold Soh Tsin Howe, Lim How Khang, Ian Ernst Chai:
Legal Area Classification: A Comparative Study of Text Classifiers on Singapore Supreme Court Judgments. - Matthew Henderson, Pawel Budzianowski, Iñigo Casanueva, Sam Coope, Daniela Gerz, Girish Kumar, Nikola Mrksic, Georgios Spithourakis, Pei-Hao Su, Ivan Vulic, Tsung-Hsien Wen:
A Repository of Conversational Datasets. - Christian Franck:
Iterative Decoding of Trellis-Constrained Codes inspired by Amplitude Amplification (Preliminary Version). - Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren:
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. - Kiran Chaudhary, Veeraruna Kavitha, Jayakrishnan Nair:
Dynamic scheduling in a partially fluid, partially lossy queueing system. - Daniel Pfeifer, Jochen L. Leidner:
Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling. - Michael Mireku Kwakye:
Semantic Data Warehouse Modelling for Trajectories. - Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-supervised Domain Adaptation via Minimax Entropy. - Thang Nguyen, Christopher Edwards, Vahid Azimi, Wu-Chung Su:
On the Control Effort in Output Feedback Sliding Mode Control of Sampled-Data Systems. - Chao Chen, Zhihang Fu, Zhihong Chen, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua:
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation. - Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification). - Ester Livshits, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy:
Principles of Progress Indicators for Database Repairing. - Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu:
Rethinking Classification and Localization in R-CNN. - Mohammed Al-Shaboti, Aaron Chen, Ian Welch:
Automatic Device Selection and Access PolicyGeneration based on User Preference for IoTActivity Workflow. - Daniel Méndez Fernández, Daniel Graziotin, Stefan Wagner, Heidi Seibold:
Open Science in Software Engineering. - Can Zhao, Yadong Xing, Zhiheng Li, Li Li, Xiao Wang, Fei-Yue Wang, Xiangbin Wu:
A Right-of-Way Assignment Strategy to Ensure Traffic Safety and Efficiency in Lane Change. - Vladyslav Usenko, Nikolaus Demmel, David Schubert, Jörg Stückler, Daniel Cremers:
Visual-Inertial Mapping with Non-Linear Factor Recovery. - Kede Ma, Wentao Liu, Tongliang Liu, Zhou Wang, Dacheng Tao:
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs. - Tao Tu, Yuan-Jui Chen, Cheng-chieh Yeh, Hung-yi Lee:
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning. - Baogui Xin, Wei Peng:
A joint autoencoder for prediction and its application in GPS trajectory data. - Oguzhan Atabek:
Challenges in Integrating Technology into Education. - Asa Dan:
Cryptocurrency with Fully Asynchronous Communication based on Banks and Democracy. - David Navarro-Alarcon, Andrea Cherubini, Xiang Li:
On Model Adaptation for Sensorimotor Control of Robots. - Evgeniy O. Kiktenko, Andrey A. Bulychev, P. A. Karagodin, Nikolay O. Pozhar, Maxim N. Anufriev, Aleksey K. Fedorov:
SPHINCS+ digital signature scheme with GOST hash functions. - Andrew Adamatzky:
On interplay between excitability and geometry. - Franklin Schrans, Daniel Hails, Alexander Harkness, Sophia Drossopoulou, Susan Eisenbach:
Flint for Safer Smart Contracts. - Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding:
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. - Marcelo Fiore, Philip Saville:
A type theory for cartesian closed bicategories. - Yong-Lu Li, Liang Xu, Xijie Huang, Xinpeng Liu, Ze Ma, Mingyang Chen, Shiyi Wang, Haoshu Fang, Cewu Lu:
HAKE: Human Activity Knowledge Engine. - Sebastian Berndt, Leah Epstein, Klaus Jansen, Asaf Levin, Marten Maack, Lars Rohwedder:
Online Bin Covering with Limited Migration. - Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Shutao Xia:
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. - Amr Elsisy, Buster O. Holzbauer, Boleslaw K. Szymanski, Miao Qi, Alex Pentland:
What Makes Social Search Efficient. - Laleh Armi, Shervan Fekri Ershad:
Texture image analysis and texture classification methods - A review. - Jennifer Gossels, Gagan L. Choudhury, Jennifer Rexford:
Robust Network Design for Software-Defined IP/Optical Backbones. - Lokesh Dewangan, Himanshu J. Bahirat:
Analysis and Identification of Controller Interaction and Limitation in VSC-HVDC Grid. - Alireza Ahadipour, Mojtaba Mohammadi, Alireza Keshavarz-Haddad:
Statistical-Based Privacy-Preserving Scheme with Malicious Consumers Identification for Smart~Grid. - Jon Zubizarreta, Iker Aguinaga, J. M. M. Montiel:
Direct Sparse Mapping. - Ehsan Fouladi, Hamed Mojallali:
Design of optimized backstepping controller for the synchronization of chaotic Colpitts oscillator using shark smell algorithm. - Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling:
Combining Physical Simulators and Object-Based Networks for Control. - Rohan Achar, Cristina V. Lopes:
Got: Git, but for Objects. - Tim Oblak, Klemen Grm, Ales Jaklic, Peter Peer, Vitomir Struc, Franc Solina:
Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study. - Feihu Zhang, Victor Adrian Prisacariu, Ruigang Yang, Philip H. S. Torr:
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching. - Eliya Nachmani, Lior Wolf:
Unsupervised Singing Voice Conversion. - Khalid Mahmood Malik, Hafiz Malik, Roland Baumann:
Towards Vulnerability Analysis of Voice-Driven Interfaces and Countermeasures for Replay. - Guoliang Kang, Jun Li, Dacheng Tao:
Shakeout: A New Approach to Regularized Deep Neural Network Training. - Mouhamad El Joubbeh:
Minimal Separators in Graphs. - Abdelkerim Amari, Sebastiaan Goossens, Yunus Can Gultekin, Olga Vassilieva, Inwoong Kim, Tadashi Ikeuchi, Chigo Okonkwo, Frans M. J. Willems, Alex Alvarado:
Introducing Enumerative Sphere Shaping for Optical Communication Systems with Short Blocklengths. - Yize Chen, Yushi Tan, Baosen Zhang:
Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. - John P. Collomosse, Tu Bui, Hailin Jin:
LiveSketch: Query Perturbations for Guided Sketch-based Visual Search. - Zheng Li, Caili Guo, Yidi Xuan:
A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Communications. - Badong Chen, Lujuan Dang, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Minimum Error Entropy Kalman Filter. - Md. Kamrul Hasan, Wasifur Rahman, Amir Zadeh, Jianyuan Zhong, Md. Iftekhar Tanveer, Louis-Philippe Morency, Mohammed E. Hoque:
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor. - Jie Cao, Huaibo Huang, Yi Li, Jingtuo Liu, Ran He, Zhenan Sun:
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation. - Kai Li, Yuzhe Richard Tang, Beom Heyn Kim, Jianliang Xu:
Secure Consistency Verification for Untrusted Cloud Storage by Public Blockchains. - Xun Wang, Xintong Han, Weiling Huang, Dengke Dong, Matthew R. Scott:
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning. - Abhishek Joshi, Vinay P. Namboodiri:
Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal. - Zhe Xin, Yinghao Cai, Tao Lu, Xiaoxia Xing, Shaojun Cai, Jixiang Zhang, Yiping Yang, Yanqing Wang:
Localizing Discriminative Visual Landmarks for Place Recognition. - Zahra Zohrevand, Uwe Glässer:
Should I Raise The Red Flag? A comprehensive survey of anomaly scoring methods toward mitigating false alarms. - Wei Yang, Yuqing Xie, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin:
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering. - Na Zhang, Xuefeng Guan, Jun Cao, Xinglei Wang, Huayi Wu:
A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network. - Monu Verma, Jaspreet Kaur Bhui, Santosh Kumar Vipparthi, Girdhari Singh:
EXPERTNet Exigent Features Preservative Network for Facial Expression Recognition. - Xuan He, Kui Cai, Zhen Mei:
Mutual Information-Maximizing Quantized Belief Propagation Decoding of LDPC Codes. - Shahar Maoz, Jan Oliver Ringert:
Spectra: A Specification Language for Reactive Systems. - Ahsaas Bajaj, Shubham Krishna, Mukund Rungta, Hemant Tiwari, Vanraj Vala:
RelEmb: A relevance-based application embedding for Mobile App retrieval and categorization. - Tal Mizrahi, Yoram Moses:
Timing in Software-Defined and Centrally-Managed Networks. - Mohammad Mahdi Ghazaei Ardakani, João Bimbo, Domenico Prattichizzo:
Quasi-static Analysis of Planar Sliding Using Friction Patches. - Mogens Graf Plessen:
Online Sampling in the Parameter Space of a Neural Network for GPU-accelerated Motion Planning of Autonomous Vehicles. - Elisa Ferracane, Titan Page, Junyi Jessy Li, Katrin Erk:
From News to Medical: Cross-domain Discourse Segmentation. - Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Danielle DeLatte, Makiko Ohtake, Tatsuaki Hashimoto:
Lunar surface image restoration using U-net based deep neural networks. - Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Wei Liu, Jialie Shen, Dacheng Tao:
Exploring Representativeness and Informativeness for Active Learning. - Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Dacheng Tao:
Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion. - Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang:
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. - Surender Baswana, P. P. Chakrabarti, Yashodhan Kanoria, Utkarsh Patange, Sharat Chandran:
Joint Seat Allocation 2018: An algorithmic perspective. - Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou:
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction. - Benjamin Beyret, Ali Shafti, A. Aldo Faisal:
Dot-to-Dot: Achieving Structured Robotic Manipulation through Hierarchical Reinforcement Learning. - Ertugrul Basar:
Large Intelligent Surface-Based Index Modulation: A New Beyond MIMO Paradigm for 6G. - Gaby Bou Tayeh, Abdallah Makhoul, Charith Perera, Jacques Demerjian:
A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks. - Timo Schick, Hinrich Schütze:
Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking. - Endrit Dosti, Themistoklis Charalambous, Risto Wichman:
Power Allocation for Type-I ARQ Two-Hop Cooperative Networks for Ultra-Reliable Communication. - Birgitta Dresp-Langley:
Towards expert-based speed-precision control in early simulator training for novice surgeons. - Snehalkumar (Neil) S. Gaikwad, Durim Morina, Adam Ginzberg, Catherine A. Mullings, Shirish Goyal, Dilrukshi Gamage, Christopher Diemert, Mathias Burton, Sharon Zhou, Mark E. Whiting, Karolina R. Ziulkoski, Alipta Ballav, Aaron Gilbee, Senadhipathige S. Niranga, Vibhor Sehgal, Jasmine Lin, Leonardy Kristianto, Angela Richmond-Fuller, Jeff Regino, Nalin Chhibber, Dinesh Majeti, Sachin Sharma, Kamila Mananova, Dinesh Dhakal, William Dai, Victoria Purynova, Samarth Sandeep, Varshine Chandrakanthan, Tejas Sarma, Sekandar Matin, Ahmed Nasser, Rohit Nistala, Alexander Stolzoff, Kristy Milland, Vinayak Mathur, Rajan Vaish, Michael S. Bernstein:
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. - Saurav Manchanda, George Karypis:
Distributed representation of multi-sense words: A loss-driven approach. - Ya-Liang Chang, Zhe Yu Liu, Winston H. Hsu:
VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal. - Saurav Manchanda, George Karypis:
Text segmentation on multilabel documents: A distant-supervised approach. - Dhruv Ramani:
A Short Survey On Memory Based Reinforcement Learning. - Chiranjib Bhattacharyya, Ravindran Kannan:
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing. - Adeel Malik, Joongheon Kim, Won-Yong Shin:
A Personalized Preference Learning Framework for Caching in Mobile Networks. - Ronitt Rubinfeld, Arsen Vasilyan:
Approximating the noise sensitivity of a monotone Boolean function. - Will Crichton:
From Theory to Systems: A Grounded Approach to Programming Language Education. - Toomas Hinnosaar:
Price Setting on a Network. - Stephane Durocher, Stefan Felsner, Saeed Mehrabi, Debajyoti Mondal:
Drawing HV-Restricted Planar Graphs. - Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simoes Gaspar:
Deep CNN based Channel Estimation for mmWave Massive MIMO Systems. - Yongxin Chen, Tryphon T. Georgiou, Allen R. Tannenbaum:
Probabilistic Kernel Support Vector Machines. - Lingheng Meng, Daiwei Lin, Adam Francey, Rob Gorbet, Philip Beesley, Dana Kulic:
Learning to Engage with Interactive Systems: A field Study. - Alexander Fabisch:
A Comparison of Policy Search in Joint Space and Cartesian Space for Refinement of Skills. - Martin Grohe, Peter Lindner:
Infinite Probabilistic Databases. - Chang-Ryeol Lee, Ju Hong Yoon, Min-Gyu Park, Kuk-Jin Yoon:
Gyroscope-aided Relative Pose Estimation for Rolling Shutter Cameras. - Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo:
See the World through Network Cameras. - Walid S. Saba:
No Adjective Ordering Mystery, and No Raven Paradox, Just an Ontological Mishap. - Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. - Adam W. Strzebonski:
Asymptotic Solutions of Polynomial Equations with Exp-Log Coefficients. - Seungkwan Lee, Suha Kwak, Minsu Cho:
Universal Bounding Box Regression and Its Applications. - Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan:
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation. - Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. - Ao Liu, Lirong Xia, Andrew T. Duchowski, Reynold Bailey, Kenneth Holmqvist, Eakta Jain:
Differential Privacy for Eye-Tracking Data. - Irwansyah, Djoko Suprijanto:
Codes over an algebra over ring. - Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei:
Personalized Context-aware Re-ranking for E-commerce Recommender Systems. - Irwansyah, Intan Muchtadi-Alamsyah, Aleams Barra:
Permutation codes over finite fields. - Dapeng Zhang, Feng Xiao, Lu Li, Gang Kou:
Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network. - Suraj Kumar, Lionel Eyraud-Dubois, Sriram Krishnamoorthy:
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. - Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell:
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. - He He, Nanyun Peng, Percy Liang:
Pun Generation with Surprise. - Muslum Ozgur Ozmen, Rouzbeh Behnia, Attila A. Yavuz:
IoD-Crypt: A Lightweight Cryptographic Framework for Internet of Drones. - Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays:
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. - Sang Won Bae:
On the Minimum-Area Rectangular and Square Annulus Problem. - Sang Won Bae:
Computing a Minimum-Width Cubic and Hypercubic Shell. - Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. - Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li:
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. - (Withdrawn) PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera.
- Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. - Iliano Cervesato, Sharjeel Khan, Giselle Reis, Dragisa Zunic:
Formalization of Automated Trading Systems in a Concurrent Linear Framework. 1-14 - Giulio Guerrieri, Giulio Manzonetto:
The Bang Calculus and the Two Girard's Translations. 15-30 - Masahito Hasegawa:
From Linear Logic to Cyclic Sharing. 31-42 - Jiaming Jiang, Harley Eades III, Valeria de Paiva:
On the Lambek Calculus with an Exchange Modality. 43-89 - Wen Kokke, Fabrizio Montesi, Marco Peressotti:
Taking Linear Logic Apart. 90-103 - Lê Thành Dung Nguyên, Thomas Seiller:
Coherent Interaction Graphs. 104-117 - Carlos Olarte, Valeria de Paiva, Elaine Pimentel, Giselle Reis:
The ILLTP Library for Intuitionistic Linear Logic. 118-132 - Shiori Honda, Yuri Ishikawa, Rei Konno, Eiko Imai, Natsumi Nomiyama, Kazuki Sakurada, Takuya Koumura, Hirohito Kondo, Shigeto Furukawa, Shinya Fujii, Masashi Nakatani:
Proximal binaural sound can induce subjective frisson. - Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman:
Pedestrian Detection in Thermal Images using Saliency Maps. - Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao:
Self-critical n-step Training for Image Captioning. - Elisa Claire Alemán Carreón, Hirofumi Nonaka, Asahi Hentona, Hirochika Yamashiro:
Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models. - Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev:
Predicting human decisions with behavioral theories and machine learning. - Zheng Shi, Huan Zhang, Guanghua Yang, Shaodan Ma:
Asymptotic Outage Analysis of Spatially Correlated Rayleigh MIMO Channels. - Francisco Cruz, Sven Magg, Yukie Nagai, Stefan Wermter:
Improving interactive reinforcement learning: What makes a good teacher? - Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas, Juho Kannala:
Geometric Image Correspondence Verification by Dense Pixel Matching. - Shuai Chen, Jinpeng Li, Chuanqi Yao, Wenbo Hou, Shuo Qin, Wenyao Jin, Xu Tang:
DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors. - Muhammad Ali Siddiqi, Christos Strydis:
POSTER: IMD Security vs. Energy: Are we tilting at windmills? - Minsung Hyun, Junyoung Choi, Nojun Kwak:
Disentangling Options with Hellinger Distance Regularizer. - Dennis Eschweiler, Johannes Stegmaier:
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE. - Chen Liang, Weihong Wang, Zhenghua Liu, Chao Lai, Benchun Zhou:
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control. - Muhammad Ali Siddiqi, Christos Strydis:
Towards Realistic Battery-DoS Protection of Implantable Medical Devices. - Markku Hinkka, Teemu Lehto, Keijo Heljanko:
Exploiting Event Log Data-Attributes in RNN Based Prediction. - Ivan Homoliak, Sarad Venugopalan, Qingze Hum, Pawel Szalachowski:
A Security Reference Architecture for Blockchains. - Meng Zhang, Ahmed Arafa, Jianwei Huang, H. Vincent Poor:
How to Price Fresh Data. - Xiangyu Xu, Muchen Li, Wenxiu Sun:
Learning Deformable Kernels for Image and Video Denoising. - Meng Zhang, Jianwei Huang, Rui Zhang:
When Tesla Meets Nash: Wireless Power Provision as a Public Good. - Olivier Bonaventure, Quentin De Coninck, Fabien Duchene, Mathieu Jadin, François Michel, Maxime Piraux, Chantal Poncin, Olivier Tilmans:
Scaling Networking Education with Open Educational Resources. - Yiftach Ginger, Dov Danon, Hadar Averbuch-Elor, Daniel Cohen-Or:
Implicit Pairs for Boosting Unpaired Image-to-Image Translation. - Yao Yang Leow, Thomas Laurent, Xavier Bresson:
GraphTSNE: A Visualization Technique for Graph-Structured Data. - Jean Christoph Jung, Fabio Papacchini, Frank Wolter, Michael Zakharyaschev:
Model Comparison Games for Horn Description Logics. - Laxmidhar Biswal, Debjyoti Bhattacharjee, Anupam Chattopadhyay, Hafizur Rahaman:
New techniques for fault-tolerant decomposition of Multi-Controlled Toffoli gate. - Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha:
Deep Comprehensive Correlation Mining for Image Clustering. - Vasiliki Efstathiou, Diomidis Spinellis:
Semantic Source Code Models Using Identifier Embeddings. - Liulong Ma, Yanjie Liu, Jiao Chen, Dong Jin:
Learning to Navigate in Indoor Environments: from Memorizing to Reasoning. - Laura R. Humphrey, Bettina Könighofer, Robert Könighofer, Ufuk Topcu:
Synthesis of Admissible Shields. - Benedikt Bollig, Paul Gastin:
Non-Sequential Theory of Distributed Systems. - Evgeniy O. Kiktenko, Mikhail A. Kudinov, Aleksey K. Fedorov:
Detecting brute-force attacks on cryptocurrency wallets. - Aritra Chatterjee, Suvra Sekhar Das:
Coverage Analysis of 3-D Dense Cellular Networks with Realistic Propagation Conditions. - Jiadong Wu, Chengye Zhao:
Cooperation on the monte carlo rule Prison's dilemma game on the grid. - Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan:
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice. - Jonathan Ephrath, Lars Ruthotto, Eldad Haber, Eran Treister:
LeanResNet: A Low-cost yet Effective Convolutional Residual Networks. - Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke:
On the Performance of Differential Evolution for Hyperparameter Tuning. - Manohar Kuse, Shaojie Shen:
Learning Whole-Image Descriptors for Real-time Loop Detection andKidnap Recovery under Large Viewpoint Difference. - Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein:
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. - Vassili Kovalev, Dmitry Voynov:
Influence of Control Parameters and the Size of Biomedical Image Datasets on the Success of Adversarial Attacks. - Farshad G. Veshki, Sergiy A. Vorobyov:
A Fast Dictionary Learning Method for Coupled Feature Space Learning. - Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund:
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. - Faizal M. F. Hafiz, Akshya Swain, Chirag Naik, Nitish D. Patel:
Efficient Feature Selection of Power Quality Events using Two Dimensional (2D) Particle Swarms. - Denis Antipov, Benjamin Doerr, Quentin Yang:
The Efficiency Threshold for the Offspring Population Size of the (μ, λ) EA. - Itay Safran, Ronen Eldan, Ohad Shamir:
Depth Separations in Neural Networks: What is Actually Being Separated? - Haoyang Ye, Yuying Chen, Ming Liu:
Tightly Coupled 3D Lidar Inertial Odometry and Mapping. - Ireneusz Szczesniak, Bozena Wozna-Szczesniak:
Adapted and constrained Dijkstra for elastic optical networks. - Ali Behnoudfar, Seyyed Hossein Hosseini Zahani, Mojtaba Hatami, Mahmoud Naghibzadeh, Boshra Taheri, Fathieh Faghih, Mehdi Kargahi:
The Proceedings of First Work-in-Progress Session of The CSI International Symposium on Real-Time and Embedded Systems and Technologies. - Zihan Ye, Fan Lyu, Linyan Li, Qiming Fu, Jinchang Ren, Fuyuan Hu:
SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning. - Davide Bilò, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko:
Geometric Network Creation Games. - Panagiotis Tzirakis, Athanasios Papaioannou, Alexander Lattas, Michail Tarasiou, Björn W. Schuller, Stefanos Zafeiriou:
Synthesising 3D Facial Motion from "In-the-Wild" Speech. - Li Huang, Eun-Young Kang:
SMT-based Probabilistic Analysis of Timing Constraints in Cyber-Physical Systems. - José Horta, Eitan Altman, Mathieu Caujolle, Daniel Kofman, David Menga:
Real-time enforcement of local energy market transactions respecting distribution grid constraints. - Lemei Huang, Yu Guan, Xinggong Zhang, Zongming Guo:
Consistent Dynamic Server Assignment in Content Delivery Network. - Laurent M. M. van den Bos, Wim Bierbooms, Armando Alexandre, Benjamin Sanderse, Gerard J. W. van Bussel:
Fatigue design load calculations of the offshore NREL 5MW benchmark turbine using quadrature rule techniques. - Xinlei Yi, Shengjun Zhang, Tao Yang, Junfeng Wu, Karl Henrik Johansson:
Event-Triggered Control for Consensus of Multi-Agent Systems with Nonlinear Output and Directed Topologies. - Jean-Yves Colin, Moustafa Nakechbandi, Hervé Mathieu:
Management of mobile resources in Physical Internet logistic models. - Laurent Schmalen, Vahid Aref:
Spatially Coupled LDPC Codes with Non-uniform Coupling for Improved Decoding Speed. - Felipe S. Abrahão, Itala M. Loffredo D'Ottaviano, Klaus Wehmuth, Francisco Antonio Doria, Artur Ziviani:
Learning the undecidable from networked systems. - Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. - Bob Briscoe:
Rapid Signalling of Queue Dynamics. - Charles Wartnaby, Daniele Bellan:
Decentralised Cooperative Collision Avoidance with Reference-Free Model Predictive Control and Desired Versus Planned Trajectories. - Laith Sakka, Kirshanthan Sundararajah, Ryan R. Newton, Milind Kulkarni:
Sound, Fine-Grained Traversal Fusion for Heterogeneous Trees - Extended Version. - Pietro Danzi, Anders E. Kalør, Cedomir Stefanovic, Petar Popovski:
Efficient Blockchain Synchronization for Internet of Things using Signature Amortization. - Hui Chen, Kostadin Damevski, David C. Shepherd, Nicholas A. Kraft:
Modeling Hierarchical Usage Context for Software Exceptions based on Interaction Data. - Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher:
A deep learning framework for quality assessment and restoration in video endoscopy. - Martin Tappler, Bernhard K. Aichernig, Roderick Bloem:
Model-Based Testing IoT Communication via Active Automata Learning. - Cunxi Yu, Zhiru Zhang:
Painting on Placement: Forecasting Routing Congestion using Conditional Generative Adversarial Nets. - Herman Kamper, Aristotelis Anastassiou, Karen Livescu:
Semantic query-by-example speech search using visual grounding. - Bob Briscoe:
The Native AQM for L4S Traffic. - Mai Xu, Li Yang, Xiaoming Tao, Yiping Duan, Zulin Wang:
Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning. - Przemyslaw Daca, Thomas A. Henzinger, Willibald Krenn, Dejan Nickovic:
Compositional Specifications for ioco Testing. - Rui Wang, Stephen M. Pizer, Jan-Michael Frahm:
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth. - Frederik Hauser, Mark Schmidt, Marco Häberle, Michael Menth:
P4-MACsec: Dynamic Topology Monitoring and Data Layer Protection with MACsec in P4-SDN. - Miquel Junyent, Anders Jonsson, Vicenç Gómez:
Deep Policies for Width-Based Planning in Pixel Domains. - Marco Godi, Christian Joppi, Andrea Giachetti, Marco Cristani:
SIMCO: SIMilarity-based object COunting. - Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. - Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Distributed Matrix Multiplication Using Speed Adaptive Coding. - Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal:
Processsing Simple Geometric Attributes with Autoencoders. - Cedric Sanders, Thomas Liebig:
Knowledge Discovery on Blockchains: Challenges and Opportunities. - Yazhou Tu, Sara Rampazzi, Bin Hao, Angel Rodriguez, Kevin Fu, Xiali Hei:
Trick or Heat? Attack on Amplification Circuits to Abuse Critical Temperature Control Systems. - Sarah Wunderlich, Markus Ring, Dieter Landes, Andreas Hotho:
Comparison of System Call Representations for Intrusion Detection. - Wei Bi, Xiangyu Liu, Maolin Zheng:
ε-differential agreement: A Parallel Data Sorting Mechanism for Distributed Information Processing System. - Yossi Azar, Noam Touitou:
General Framework for Metric Optimization Problems with Delay or with Deadlines. - Aleksandar Nanevski, Anindya Banerjee, Germán Andrés Delbianco, Ignacio Fábregas:
Specifying Concurrent Programs in Separation Logic: Morphisms and Simulations. - Gleb Polevoy:
Defence Efficiency. - Sebastian Gehrmann, Steven Layne, Franck Dernoncourt:
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation. - Mohammad Nasim Imtiaz Khan, Asmit De, Swaroop Ghosh:
RF-Trojan: Leaking Kernel Data Using Register File Trojan. - Maxwell Scale Uwadia Osagie, Osagie Joy Amenze:
The Architectural Dynamics of Encapsulated Botnet Detection (EDM). - Rajeev Alur, Dana Fisman, Saswat Padhi, Rishabh Singh, Abhishek Udupa:
SyGuS-Comp 2018: Results and Analysis. - Issam W. Damaj, Mahmoud Imdoukh, Rached N. Zantout:
Parallel Hardware for Faster Morphological Analysis. - Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces. - Massimo Battaglioni, Franco Chiaraluce, Marco Baldi, David G. M. Mitchell:
Efficient Search and Elimination of Harmful Objects in Optimized QC SC-LDPC Codes. - Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali:
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. - Jalal Mirakhorli, Mojgan Mirakhorli:
Graph-Based Method for Anomaly Detection in Functional Brain Network using Variational Autoencoder. - Fethiye Irmak Dogan, Sinan Kalkan, Iolanda Leite:
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments. - Alexey Gotsman, Anatole Lefort, Gregory V. Chockler:
White-Box Atomic Multicast (Extended Version). - Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Differentiable Iterative Surface Normal Estimation. - Qinbing Fu, Cheng Hu, Pengcheng Liu, Shigang Yue:
Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes. - Maria Papatsimouli, John Skordas, Lazaros Lazaridis, Eleni Michailidi, Vaggelis Saprikis, George F. Fragulis:
Cyberbullying and Traditional Bullying in Greece: An Empirical Study. - Maxime Bouton, Jesper Karlsson, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer, Jana Tumova:
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving. - Arun Mukundan, Giorgos Tolias, Ondrej Chum:
Explicit Spatial Encoding for Deep Local Descriptors. - Rob Brekelmans, Daniel Moyer, Aram Galstyan, Greg Ver Steeg:
Exact Rate-Distortion in Autoencoders via Echo Noise. - Tim Dockhorn:
A Discussion on Solving Partial Differential Equations using Neural Networks. - Suchi Saria, Adarsh Subbaswamy:
Tutorial: Safe and Reliable Machine Learning. - Jiannan Zhao, Xingzao Ma, Qinbing Fu, Cheng Hu, Shigang Yue:
An LGMD Based Competitive Collision Avoidance Strategy for UAV. - Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel:
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation. - Martin Grohe, Sandra Kiefer:
A Linear Upper Bound on the Weisfeiler-Leman Dimension of Graphs of Bounded Genus. - Jonathan Lenchner:
From Hall's Marriage Theorem to Boolean Satisfiability and Back. - Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. - Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz:
Joint Discriminative and Generative Learning for Person Re-identification. - Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Estimation of Linear Motion in Dense Crowd Videos using Langevin Model. - Jason Crampton, Gregory Z. Gutin, Diptapriyo Majumdar:
Bounded and Approximate Strong Satisfiability in Workflows. - Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza:
Focus Is All You Need: Loss Functions For Event-based Vision. - Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. - Anupam Gupta, Amit Kumar, Viswanath Nagarajan, Xiangkun Shen:
Stochastic Load Balancing on Unrelated Machines. - Aleksandrs Slivkins:
Introduction to Multi-Armed Bandits. - Nitish Mital, Katina Kralevska, Cong Ling, Deniz Gündüz:
Practical Functional Regenerating Codes for Broadcast Repair of Multiple Nodes. - Yang Xiao, Ning Zhang, Wenjing Lou, Y. Thomas Hou:
Enforcing Private Data Usage Control with Blockchain and Attested Off-chain Contract Execution. - Shaobo He, Michael Emmi, Gabriela F. Ciocarlie:
ct-fuzz: Fuzzing for Timing Leaks. - Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan:
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI. - Anton O. Bassin, Maxim Buzdalov:
The 1/5-th Rule with Rollbacks: On Self-Adjustment of the Population Size in the (1+(λ, λ)) GA. - Yan Shen, Mingchen Gao:
Brain Tumor Segmentation on MRI with Missing Modalities. - Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri, Ahmad Rashid:
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation. - Marianna Rapoport, Ondrej Lhoták:
A Path To DOT: Formalizing Fully-Path-Dependent Types. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller:
Automatic alignment of surgical videos using kinematic data. - Runhua Xu, James B. D. Joshi, Chao Li:
CryptoNN: Training Neural Networks over Encrypted Data. - Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu, Ishan Patel, K. P. Unnikrishnan:
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients. - Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller:
Automatic adaptation of object detectors to new domains using self-training. - Alexander William Wong, Ken Wong, Abram Hindle:
Tracing Forum Posts to MOOC Content using Topic Analysis. - Chao Li, Balaji Palanisamy:
Incentivized Blockchain-based Social Media Platforms: A Case Study of Steemit. - Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos:
A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection. - Nicolas Behr, Vincent Danos, Ilias Garnier:
Combinatorial Conversion and Moment Bisimulation for Stochastic Rewriting Systems. - David Schlangen:
Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics. - Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor:
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping. - Fang Su, Hai-Yang Shang, Jingyan Wang:
Low-Rank Deep Convolutional Neural Network for Multi-Task Learning. - Krishnapriya K. S, Kushal Vangara, Michael C. King, Vitor Albiero, Kevin W. Bowyer:
Characterizing the Variability in Face Recognition Accuracy Relative to Race. - Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch:
How Widely Can Prediction Models be Generalized? An Analysis of Performance Prediction in Blended Courses. - Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman:
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses. - Yongxiang Fan, Xinghao Zhu, Masayoshi Tomizuka:
Optimization Model for Planning Precision Grasps with Multi-Fingered Hands. - Michael Bossetta:
The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election. - Masahiro Kaneko, Mamoru Komachi:
Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection. - Bob Briscoe, Koen De Schepper:
Insights from Curvy RED (Random Early Detection). - Allison Koenecke, Jordi Feliu-Fabà:
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. - Xing Di, Benjamin S. Riggan, Shuowen Hu, Nathaniel J. Short, Vishal M. Patel:
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis. - Markus Wulfmeier:
Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation. - Prashanta Saha, Upulee Kanewala:
Fault Detection Effectiveness of Metamorphic Relations Developed for Testing Supervised Classifiers. - Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi:
Exploiting Computation Power of Blockchain for Biomedical Image Segmentation. - Evgeniy Abdulin, Lee Friedman, Oleg Komogortsev:
Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades. - Jingkai Chen, Cheng Fang, David Wang, Andrew J. Wang, Brian Charles Williams:
Efficiently Exploring Ordering Problems through Conflict-directed Search. - Maryam Shabanighazikelayeh, Erdem Koyuncu:
Outage-Optimized Deployment of UAVs. - Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim:
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction. - Jack Hessel, Lillian Lee:
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. - Glenn A. Fink, Penny McKenzie:
Helping IT and OT Defenders Collaborate. - Farhad Farokhi:
Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary. - Shitij Kumar, Sarthak Arora, Ferat Sahin:
Speed and Separation Monitoring using on-robot Time-of-Flight laser-ranging sensor arrays. - Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah, Abolfazl Razi, Jonathan D. Ashdown, Kurt A. Turck:
A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks. - André Linhares, Chaitanya Swamy:
Approximation Algorithms for Distributionally Robust Stochastic Optimization with Black-Box Distributions. - Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath:
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet. - Clément Carbonnel, Miguel Romero, Stanislav Zivný:
Point-width and Max-CSPs. - Rajarshi Bhowmik, Gerard de Melo:
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts. - Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le:
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. - Quanquan Shao, Jie Hu:
Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking. - Saeed Anwar, Nick Barnes:
Real Image Denoising with Feature Attention. - Xinyao Wang, Liefeng Bo, Fuxin Li:
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression. - Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Wenhai Liu, Jin Qi, Jin Ma:
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter. - Changxi Liu, Hailong Yang, Rujun Sun, Zhongzhi Luan, Lin Gan, Guangwen Yang, Depei Qian:
swTVM: Exploring the Automated Compilation for Deep Learning on Sunway Architecture. - Satoshi Takabe, Tadashi Wadayama:
Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems. - Tristan Knoth, Di Wang, Nadia Polikarpova, Jan Hoffmann:
Resource-Guided Program Synthesis. - Sho Takase, Naoaki Okazaki:
Positional Encoding to Control Output Sequence Length. - Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang:
Just-in-Time Dynamic-Batching. - Huangyue Yu, Minjie Cai, Yunfei Liu, Feng Lu:
What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis. - Ugo Dal Lago, Naohiko Hoshino:
The Geometry of Bayesian Programming. - Jinghan Yao, Zhou Yu, Jun Yu, Dacheng Tao:
Single Pixel Reconstruction for One-stage Instance Segmentation. - Jiaming Qu, Yue Wang:
A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine. - Mingxin Jin, Yongsheng Dong, Lintao Zheng, Lingfei Liang, Tianyu Wang, Hongyan Zhang:
Shortest Paths in HSI Space for Color Texture Classification. - Agastya Kalra, Ben Peterson:
Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction. - Yupan Huang, Qi Dai, Yutong Lu:
Decoupling Localization and Classification in Single Shot Temporal Action Detection. - Claudio Ferretti, Alberto Leporati, Luca Manzoni, Antonio E. Porreca:
The many roads to the simulation of reaction systems. - Yash Goyal, Ziyan Wu, Jan Ernst, Dhruv Batra, Devi Parikh, Stefan Lee:
Counterfactual Visual Explanations. - Jorge Arce Garro, David Jiménez López:
Point cloud registration: matching a maximal common subset on pointclouds with noise (with 2D implementation). - Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. - Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan:
Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN. - Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian:
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. - ThanhVu Nguyen, Deepak Kapur, Westley Weimer, Stephanie Forrest:
Using Dynamic Analysis to Generate Disjunctive Invariants. - Yeqi Liu, Chuanyang Gong, Ling Yang, Yingyi Chen:
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction. - Kazuya Tsuruta, Dominik Köppl, Shunsuke Kanda, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Dynamic Packed Compact Tries Revisited. - Bin Wen, Jianhou Gan, Juan Luis García Guirao, Wei Gao:
An extended description logic system with knowledge element based on ALC. - Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi:
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images. - Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo:
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting. - Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen:
GradMask: Reduce Overfitting by Regularizing Saliency. - Qingrui Zhang, Hugh H. T. Liu:
Robust nonlinear control of close formation flight. - Tatsuya Konishi, Hideharu Kojima, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya:
Finding minimum locating arrays using a CSP solver. - Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang:
Object-Oriented Dynamics Learning through Multi-Level Abstraction. - Di Zhao, Lan Ma, Songnan Li, Dahai Yu:
End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks. - Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao:
Shared Predictive Cross-Modal Deep Quantization. - Yuxuan Sun, Junlin Zhao, Sheng Zhou, Deniz Gündüz:
Heterogeneous Computation across Heterogeneous Workers. - Moyuru Kurita, Kunihito Hoki:
Method for Constructing Artificial Intelligence Player with Abstraction to Markov Decision Processes in Multiplayer Game of Mahjong. - Reza Fathi, Anisur Rahaman Molla, Gopal Pandurangan:
Efficient Distributed Community Detection in the Stochastic Block Model. - Chong Peng, Qiang Cheng:
Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data. - Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng:
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices. - Lingchen Huang, Huazi Zhang, Rong Li, Yiqun Ge, Jun Wang:
Reinforcement Learning for Nested Polar Code Construction. - Guochao Song, Wei Wang, Da Chen, Tao Jiang:
KPI/KQI-Driven Coordinated Multi-Point in 5G: Measurements, Field Trials, and Technical Solutions. - Zhijian Luo, Siyu Chen, Yuntao Qian:
A Deep Optimization Approach for Image Deconvolution. - Saeed Anwar, Salman H. Khan, Nick Barnes:
A Deep Journey into Super-resolution: A survey. - Yikang Li, Christopher D. Twigg, Yuting Ye, Lingling Tao, Xiaogang Wang:
Disentangling Pose from Appearance in Monochrome Hand Images. - Yifan Qiao, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Understanding the Behaviors of BERT in Ranking. - Christoph Lenzen, Merav Parter, Eylon Yogev:
Parallel Balanced Allocations: The Heavily Loaded Case. - Samuel Balco, Alexander Kurz:
Nominal String Diagrams. - Shun Zheng, Wei Cao, Wei Xu, Jiang Bian:
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction. - Dylan Bourgeois, Jérémie Rappaz, Karl Aberer:
Selection Bias in News Coverage: Learning it, Fighting it. - Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Sämann, Hauke Kaulbersch, Stefan Milz, Horst-Michael Gross:
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds. - Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta, Tatsuya Harada:
Long-Term Video Generation of Multiple Futures Using Human Poses. - Jérémie Rappaz, Dylan Bourgeois, Karl Aberer:
A Dynamic Embedding Model of the Media Landscape. - Jens Müller, Marcus Brinkmann, Damian Poddebniak, Sebastian Schinzel, Jörg Schwenk:
Re: What's Up Johnny? - Covert Content Attacks on Email End-to-End Encryption. - Hanzhou Wu:
Steganographer Identification. - Ryan Eloff, André Nortje, Benjamin van Niekerk, Avashna Govender, Leanne Nortje, Arnu Pretorius, Elan Van Biljon, Ewald van der Westhuizen, Lisa van Staden, Herman Kamper:
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks. - Katarina Britz, Giovanni Casini, Thomas Meyer, Kody Moodley, Uli Sattler, Ivan Varzinczak:
Theoretical Foundations of Defeasible Description Logics. - László Csirmaz:
One-adhesive polymatroids. - Minghao Yin, Xiu Li, Yongbing Zhang, Shiqi Wang:
On the Mathematical Understanding of ResNet with Feynman Path Integral. - Jamal Al Qundus, Adrian Paschke:
Investigating the Effect of Attributes on User Trust in Social Media. - Taban Eslami, Vahid Mirjalili, Alvis Cheuk M. Fong, Angela R. Laird, Fahad Saeed:
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data. - Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia, Tanmoy Chakraborty:
Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees. - Xuelong Li, Kang Liu, Yongsheng Dong, Dacheng Tao:
Patch alignment manifold matting. - Krzysztof Lis, Krishna K. Nakka, Pascal Fua, Mathieu Salzmann:
Detecting the Unexpected via Image Resynthesis. - Bob Briscoe, Koen De Schepper:
Scaling TCP's Congestion Window for Small Round Trip Times. - Meixia Tao, Deniz Gündüz, Fan Xu, Joan S. Pujol Roig:
Content Caching and Delivery in Wireless Radio Access Networks. - Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan:
Relation-Shape Convolutional Neural Network for Point Cloud Analysis. - Bob Briscoe, Koen De Schepper:
Resolving Tensions between Congestion Control Scaling Requirements. - Michael Michelashvili, Lior Wolf:
Audio Denoising with Deep Network Priors. - Liyang Zhang, Francesco Restuccia, Tommaso Melodia, Scott M. Pudlewski:
Jam Sessions: Analysis and Experimental Evaluation of Advanced Jamming Attacks in MIMO Networks. - Pedro Hermosilla, Tobias Ritschel, Timo Ropinski:
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. - Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini:
Compressed Indexes for Fast Search of Semantic Data. - Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia:
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms. - Zhaoning Li, Qi Li, Xiaotian Zou, Jiangtao Ren:
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings. - Oguzhan Gencoglu, Mark J. van Gils, Esin Guldogan, Chamin Morikawa, Mehmet Süzen, Mathias Gruber, Jussi Leinonen, Heikki Huttunen:
HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning. - Darren M. Chitty, Elizabeth F. Wanner, Rakhi Parmar, Peter R. Lewis:
Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation. - Alison Callahan, Jason A. Fries, Christopher Ré, James I Huddleston III, Nicholas J. Giori, Scott L. Delp, Nigam H. Shah:
Medical device surveillance with electronic health records. - Huikai Wu, Junge Zhang, Kaiqi Huang:
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. - Johan Bollen, Stephen Carpenter, Jane Lubchenco, Marten Scheffer:
Rethinking Resource Allocation in Science. - Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman:
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences. - Alexios Papacharalampopoulos:
Investigating Data-driven systems as digital twins: Numerical behavior of Ho-Kalman method for order estimation. - Adil Rajput:
Clickbait in Education Positive or Negative? Machine Learning Answers. - Syed Arbaaz Qureshi, Mohammed Hasanuzzaman, Sriparna Saha, Gaël Dias:
The Verbal and Non Verbal Signals of Depression - Combining Acoustics, Text and Visuals for Estimating Depression Level. - Martin Doskár, Jan Zeman, Daniel Rypl, Jan Novák:
Level-set based design of Wang tiles for modelling complex microstructures. - Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal:
Semantically Aligned Bias Reducing Zero Shot Learning. - Carole Delporte-Gallet, Hugues Fauconnier, Pierre Fraigniaud, Mikaël Rabie:
Distributed Computing in the Asynchronous LOCAL model. - Walid Belkhir, Nicolas Ratier, Duy Duc Nguyen, Michel Lenczner:
Unification and combination of iterative insertion strategies with one-step traversals. - Cyril Grunspan, Ricardo Pérez-Marco:
Selfish Mining and Dyck Words in Bitcoin and Ethereum Networks. - Wei Xu, Ying Cui, Zhi Liu:
Optimal Multi-View Video Transmission in Multiuser Wireless Networks by Exploiting Natural and View Synthesis-Enabled Multicast Opportunities. - Andreas Rosowski:
Fast Commutative Matrix Algorithm. - Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer:
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. - Andrei Ionut Damian, Laurentiu Piciu, Sergiu Turlea, Nicolae Tapus:
Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders. - Sebastian Enqvist, Helle Hvid Hansen, Clemens Kupke, Johannes Marti, Yde Venema:
Completeness for Game Logic. - Chao Zhai, Gaoxi Xiao, Hehong Zhang, Tso-Chien Pan:
Towards a Universal Approach for Identifying Cascading Failures of Power Grids. - Jonas Nüßlein:
Most Frequent Itemset Optimization. - A. N. Trahtman:
Matrix approach to synchronizing automata. - Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu:
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey. - Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Multimodal Subspace Support Vector Data Description. - Patrick Erik Bradley, Markus Wilhelm Jahn:
p-Adic scaled space filling curve indices for high dimensional data. - Rafael Vasquez, Bilal Farooq:
Multi-Objective Autonomous Braking System using Naturalistic Dataset. - Dimitrios Loukrezis, Herbert De Gersem:
Approximation and Uncertainty Quantification of Stochastic Systems with Arbitrary Input Distributions using Weighted Leja Interpolation. - Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, Opportunities. - Jiayin Xie, Nilanjan Chakraborty:
Rigid Body Motion Prediction with Planar Non-convex Contact Patch. - Anke Kreuzer, Norbert Eicker, Jorge Amaya, Raphaël Léger, Estela Suarez:
The DEEP-ER project: I/O and resiliency extensions for the Cluster-Booster architecture. - Harsh Tataria, Seun Sangodoyin, Andreas F. Molisch, Peter J. Smith, Michail Matthaiou, Jianzhong Zhang, Reiner S. Thomä:
Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements. - Babak Naderi, Salar Mohtaj, Kaspar Ensikat, Sebastian Möller:
Subjective Assessment of Text Complexity: A Dataset for German Language. - Gido M. van de Ven, Andreas S. Tolias:
Three scenarios for continual learning. - Swen Jacobs, Roderick Bloem, Maximilien Colange, Peter Faymonville, Bernd Finkbeiner, Ayrat Khalimov, Felix Klein, Michael Luttenberger, Philipp J. Meyer, Thibaud Michaud, Mouhammad Sakr, Salomon Sickert, Leander Tentrup, Adam Walker:
The 5th Reactive Synthesis Competition (SYNTCOMP 2018): Benchmarks, Participants & Results. - Elise Jing, Simon DeDeo, Yong-Yeol Ahn:
Sameness Attracts, Novelty Disturbs, but Outliers Flourish in Fanfiction Online. - Ruohan Gao, Kristen Grauman:
Co-Separating Sounds of Visual Objects. - Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer:
SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decision. - Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Han-Chieh Chao, Hamido Fujita, Philip S. Yu:
ProUM: Projection-based Utility Mining on Sequence Data. - Oznur Alkan, Elizabeth M. Daly, Adi Botea:
An Evaluation Framework for Interactive Recommender System. - Yu-Min Chung, Austin Lawson:
Persistence Curves: A canonical framework for summarizing persistence diagrams. - Yifeng Fan, Zhizhen Zhao:
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps. - Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-González, Alexandre Routier, Simona Bottani, Stanley Durrleman, Ninon Burgos, Olivier Colliot:
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. - Basura Fernando, Cheston Yin Chet Tan, Hakan Bilen:
Weakly Supervised Gaussian Networks for Action Detection. - Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié:
The ALOS Dataset for Advert Localization in Outdoor Scenes. - Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation. - Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. - Kieran Greer:
A Pattern-Hierarchy Classifier for Reduced Teaching. - Idan Benami, Keren Cohen, Oved Nagar, Yoram Louzoun:
Topological based classification of paper domains using graph convolutional networks. - Zhenshan Bing, Christian Lemke, Zhuangyi Jiang, Kai Huang, Alois C. Knoll:
Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning. - Xiaosen Wang, Kun He, John E. Hopcroft:
AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. - Jaewon Jung, Jongyoul Park:
Visual Relationship Detection with Language prior and Softmax. - Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr:
Online Selection of CMA-ES Variants. - Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf:
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning. - Philippe Babin, Philippe Dandurand, Vladimir Kubelka, Philippe Giguère, François Pomerleau:
Large-scale 3D Mapping of Sub-arctic Forests. - Borja Fernández-Gauna, Manuel Graña, Roland S. Zimmermann:
Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks. - Nathan Buskulic, Carola Doerr:
Maximizing Drift is Not Optimal for Solving OneMax. - Jack Hessel, Lillian Lee, David Mimno:
Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents. - Mert Ergurtuna, Ebru Aydin Gol:
An Efficient Formula Synthesis Method with Past Signal Temporal Logic. - Jonathan de Matos, Alceu de Souza Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich:
Double Transfer Learning for Breast Cancer Histopathologic Image Classification. - Philippe Dandurand, Philippe Babin, Vladimir Kubelka, Philippe Giguère, François Pomerleau:
Predicting GNSS satellite visibility from dense point clouds. - Gustavo Henrique Paetzold, Shervin Malmasi, Marcos Zampieri:
UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks. - Trung Can, Narayanan Rengaswamy, A. Robert Calderbank, Henry D. Pfister:
Kerdock Codes Determine Unitary 2-Designs. - Gene-Ping Yang, Chao-I Tuan, Hung-yi Lee, Lin-Shan Lee:
Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering. - Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. - Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. - Xingyi Zhou, Dequan Wang, Philipp Krähenbühl:
Objects as Points. - Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic:
Matrix and tensor decompositions for training binary neural networks. - Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine:
End-to-End Robotic Reinforcement Learning without Reward Engineering. - Rafael F. Reale, Walter da Costa Pinto Neto, Joberto S. B. Martins:
AllocTC-Sharing: A New Bandwidth Allocation Model for DS-TE Networks. - Rafael F. Reale, Romildo M. S. Bezerra, Gilvan M. Durães, Alexandre C. Fontinele, André C. B. Soares, Joberto S. B. Martins:
Evaluating the Applicability of Bandwidth Allocation Models for EON Slot Allocation. - Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience. - Simone Melzi, Jing Ren, Emanuele Rodolà, Peter Wonka, Maks Ovsjanikov:
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence. - Martin Kliesch, Stanislaw J. Szarek, Peter Jung:
Simultaneous structures in convex signal recovery - revisiting the convex combination of norms. - Jonathan de Matos, Alceu de Souza Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich:
Histopathologic Image Processing: A Review. - Radu Stefan Mincu, Alexandru Popa:
Heuristic algorithms for the Longest Filled Common Subsequence Problem. - Chia-Hsuan Lee, Yun-Nung Chen, Hung-yi Lee:
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation. - Zhenlong Wu, Jie Yuan, Yuquan Chen, Donghai Li, YangQuan Chen:
Fractional order [PI] Controller and Smith-like Predictor Design for A Class of High Order Systems. - Yi Li, Nuno Vasconcelos:
REPAIR: Removing Representation Bias by Dataset Resampling. - Abdullah Hamdi, Bernard Ghanem:
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation. - Andrés F. Pérez, Valentina Sanguineti, Pietro Morerio, Vittorio Murino:
Audio-Visual Model Distillation Using Acoustic Images. - David Acuna, Amlan Kar, Sanja Fidler:
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations. - Gordon Euhyun Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan:
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization. - Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley:
Expediting TTS Synthesis with Adversarial Vocoding. - Pavel Pudlák, Vojtech Rödl:
Extractors for small zero-fixing sources. - Ziqiang Guan, Ritesh Kumar, Yi Ren Fung, Yeahuay Wu, Madalina Fiterau:
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks. - Kfir Bar, Vered Zilberstein, Ido Ziv, Heli Baram, Nachum Dershowitz, Samuel Itzikowitz, Eiran Vadim Harel:
Semantic Characteristics of Schizophrenic Speech. - M. Anandaraj, K. Selvaraj, P. Ganeshkumar, K. P. Vijayakumar:
An Efficient Framework for Network Code based Multimedia Content Distribution in a Hybrid P2P Network. - Robert Krauthgamer, David Reitblat:
Almost-Smooth Histograms and Sliding-Window Graph Algorithms. - Shuping Dang, Guoqing Ma, Basem Shihada, Mohamed-Slim Alouini:
Enabling Smart Buildings by Indoor Visible Light Communications and Machine Learning. - Bill Storer, Carlos Pignataro, Maria Alice Dos Santos, Bruno Stévant, Laurent Toutain, Jean-François Tremblay:
Softwire Hub and Spoke Deployment Framework with Layer Two Tunneling Protocol Version 2 (L2TPv2). - Liang Wang, Peiqiu Huang, Kezhi Wang, Guopeng Zhang, Lei Zhang, Nauman Aslam, Kun Yang:
RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC. - Donglin Wang, Raja R. Sattiraju, Andreas Weinand, Hans D. Schotten:
System-Level Simulator of LTE Sidelink C-V2X Communication for 5G. - Nurul Huda Mahmood, Ali Karimi, Gilberto Berardinelli, Klaus I. Pedersen, Daniela Laselva:
On the Resource Utilization of Multi-Connectivity Transmission for URLLC Services in 5G New Radio. - Wentai Zhang, Zhangsihao Yang, Haoliang Jiang, Suyash Nigam, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara:
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders. - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. - Ayoade Ilori, Akinbiyi Akindoyin, Zuoyin Tang, Jianhua He:
Subframe resource optimization for massive machine device access in LTE networks. - Mubariz Zaffar, Ahmad Khaliq, Shoaib Ehsan, Michael Milford, Kostas Alexis, Klaus D. McDonald-Maier:
Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics? - Lana Sinapayen, Atsushi Noda:
DNN Architecture for High Performance Prediction on Natural Videos Loses Submodule's Ability to Learn Discrete-World Dataset. - Xuehe Wang, Lingjie Duan:
Economic Analysis of Rollover and Shared Data Plans. - Paul Anthony Haigh, Alessandro Minotto, Andrew Burton, Zabih Ghassemlooy, Petri Murto, Zewdneh Genene, Wendimagegn Mammo, Mats R. Andersson, Ergang Wang, Franco Cacialli, Izzat Darwazeh:
Experimental Demonstration of Staggered CAP Modulation for Low Bandwidth Red-Emitting Polymer-LED based Visible Light Communications. - Santu Sardar, Amit Kumar Mishra, Mohammed Zafar Ali Khan:
Vehicle Detection and Classification using LTE-CommSense. - Donglin Wang, Raja R. Sattiraju, Hans D. Schotten:
Performances of C-V2X Communication on Highway under Varying Channel Propagation Models. - Nikolaj Tatti:
Discovering Episodes with Compact Minimal Windows. - Oussama Habachi, Mohamed-Ali Adjif, Jean-Pierre Cances:
Fast Uplink Grant for NOMA: a Federated Learning based Approach. - Asim Darwaish, Farid Naït-Abdesselam, Ashfaq Khokhar:
Detection and Prediction of Cardiac Anomalies Using Wireless Body Sensors and Bayesian Belief Networks. - Deepak Mishra, Erik G. Larsson:
Sum Throughput Maximization in Multi-Tag Backscattering to Multiantenna Reader. - George Adam, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg:
Reducing Adversarial Example Transferability Using Gradient Regularization. - Olivier Mesnard, Lorena A. Barba:
Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics. - Muhammad Mahbubur Rahman, Sorami Hisamoto, Kevin Duh:
Query Expansion for Cross-Language Question Re-Ranking. - Yong Kiam Tan, André Platzer:
An Axiomatic Approach to Liveness for Differential Equations. - Ahmed Fadhil:
Beyond Technical Motives: Perceived User Behavior in Abandoning Wearable Health & Wellness Trackers. - Amine Bejaoui, Ki-Hong Park, Mohamed-Slim Alouini:
A QoS-Oriented Trajectory Optimization in Swarming Unmanned-Aerial-Vehicles Communications. - Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean A. Bodenham, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz:
Machine learning for early prediction of circulatory failure in the intensive care unit. - Yi Zhu, Ivan Vulic, Anna Korhonen:
A Systematic Study of Leveraging Subword Information for Learning Word Representations. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Benchmarking Tether-based UAV Motion Primitives. - Colin Wan, Zheng Li, Yue Zhao:
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Explicit Motion Risk Representation. - Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala:
Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools. - Fan Yang, Heng Fan, Peng Chu, Erik Blasch, Haibin Ling:
Clustered Object Detection in Aerial Images. - Zhijiong Huang, Yu Zhang, Kathryn C. Quigley, Ramya Sankar, Clemence Wormser, Xinxin Mo, Allen Y. Yang:
Accessibility of Virtual Reality Locomotion Modalities to Adults and Minors. - Mathieu Roche:
How to define co-occurrence in different domains of study? - Artem Komarichev, Zichun Zhong, Jing Hua:
A-CNN: Annularly Convolutional Neural Networks on Point Clouds. - Junsoo Kim, Hyungbo Shim, Kyoohyung Han:
Comprehensive Introduction to Fully Homomorphic Encryption for Dynamic Feedback Controller via LWE-based Cryptosystem. - Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee:
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. - Jiabin Xue, Jiqing Han, Tieran Zheng, Jiaxing Guo, Boyong Wu:
Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition. - Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr:
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates. - Brenden M. Lake, Steven T. Piantadosi:
People infer recursive visual concepts from just a few examples. - Binxuan Huang, Kathleen M. Carley:
Inductive Graph Representation Learning with Recurrent Graph Neural Networks. - Thiagarajan Ramachandran, Andrew Reiman, Sai Pushpak Nandanoori, Mark Rice, Soumya Kundu:
Distribution System State Estimation in the Presence of High Solar Penetration. - Yi-Jun Chang, Thatchaphol Saranurak:
Improved Distributed Expander Decomposition and Nearly Optimal Triangle Enumeration. - Benjamin Jaye, Galyna V. Livshyts, Grigoris Paouris, Peter Pivovarov:
Remarks on the Rényi Entropy of a sum of IID random variables. - Jiabin Xue, Jiqing Han, Tieran Zheng, Xiang Gao, Jiaxing Guo:
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition. - Xin Wen, Zhizhong Han, Xinyu Yin, Yu-Shen Liu:
Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities. - Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi:
Neural Message Passing for Multi-Label Classification. - Najeeb Khan, Ian Stavness:
Sparseout: Controlling Sparsity in Deep Networks. - Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang:
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. - Markus Wilhelm Jahn, Patrick Erik Bradley:
A scaled space-filling curve index applied to tropical rain forest tree distributions. - Lei Liu, Jie Jiang, Wenjing Jia, Saeed Amirgholipour, Michelle Zeibots, Xiangjian He:
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales. - Xin Hong, Pengfei Xiong, Renhe Ji, Haoqiang Fan:
Deep Fusion Network for Image Completion. - Jia Li, Xiao Sun, Xing Wei, Changliang Li, Jianhua Tao:
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation. - Zhang Guo, Kevin Yu, Rebecca Pearlman, Nassir Navab, Roghayeh Barmaki:
Collaboration Analysis Using Deep Learning. - Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown:
Text Classification Algorithms: A Survey. - Yuchen Liu, Hao Xiong, Zhongjun He, Jiajun Zhang, Hua Wu, Haifeng Wang, Chengqing Zong:
End-to-End Speech Translation with Knowledge Distillation. - Jeremiah Blocki, Seunghoon Lee, Samson Zhou:
Approximating Cumulative Pebbling Cost is Unique Games Hard. - Ahmed Abbas, Paul Swoboda:
Bottleneck potentials in Markov Random Fields. - Junhyun Lee, Inyeop Lee, Jaewoo Kang:
Self-Attention Graph Pooling. - Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Gianluca Maguolo:
General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation. - Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
Adversarial Defense Through Network Profiling Based Path Extraction. - Siddharth Srivastava, Sumit Soman, Astha Rai:
An Online Learning Approach for Dengue Fever Classification. - Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo:
TextCaps : Handwritten Character Recognition with Very Small Datasets. - Steffen Smolka, Praveen Kumar, David M. Kahn, Nate Foster, Justin Hsu, Dexter Kozen, Alexandra Silva:
Scalable Verification of Probabilistic Networks. - Qiang Li, Bo Xie, Jane You, Wei Bian, Dacheng Tao:
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification. - Lei Lei, Jiaju Qi, Kan Zheng:
Patent Analytics Based on Feature Vector Space Model: A Case of IoT. - Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue:
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. - Qingshan Xu, Wenbing Tao:
Multi-Scale Geometric Consistency Guided Multi-View Stereo. - Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network. - Liu Yang, Lijing Song:
Contextual Aware Joint Probability Model Towards Question Answering System. - Tom Gur, Oded Lachish:
A Lower Bound for Relaxed Locally Decodable Codes. - Clara Stegehuis, Remco van der Hofstad, Johan S. H. van Leeuwaarden:
Variational principle for scale-free network motifs. - Hua Wei, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li:
A Survey on Traffic Signal Control Methods. - Jingwen He, Chao Dong, Yu Qiao:
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers. - Sho Nakazono, Hiroyuki Uchiyama, Yasuhiro Fujiwara, Yasuhiro Nakamura, Hideyuki Kawashima:
InvisibleWriteRule: the sufficient condition for safely omittable write operations in concurrency control. - Zezhong Zhang, Zehua Zhou, Rui Wang, Yang Li:
Downlink Goodput Analysis for D2D Underlaying Massive MIMO Networks. - Avi Rosenfeld, Ariella Richardson:
Explainability in Human-Agent Systems. - Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein:
nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. - Yuji Kanagawa, Tomoyuki Kaneko:
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning. - Feiyang Chen, Ziqian Luo:
Sentiment Analysis using Deep Robust Complementary Fusion of Multi-Features and Multi-Modalities. - James R. Ashford, Liam D. Turner, Roger M. Whitaker, Alun D. Preece, Diane Felmlee, Don Towsley:
Understanding the Signature of Controversial Wikipedia Articles through Motifs in Editor Revision Networks. - Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou:
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation. - V. A. Slipko, Yuriy V. Pershin:
Transient dynamics of pulse-driven memristors in the presence of a stable fixed point. - Jaechang Lim, Seongok Ryu, Kyubyong Park, Yo Joong Choe, Jiyeon Ham, Woo Youn Kim:
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks. - Huaibing Jian, Yuean Zhu, Yongchao Long, Bin Li, Shu Wang, Xiliang Wu, Zhichu Zhong:
In Search of a Key Value Store with High Performance and High Availability. - Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Bayesian policy selection using active inference. - Daniel Lokshtanov, Pranabendu Misra, Saket Saurabh, Meirav Zehavi:
A Brief Note on Single Source Fault Tolerant Reachability. - Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang:
Compositional Network Embedding. - Daniel Koguciuk, Lukasz Chechlinski:
3D Object Recognition with Ensemble Learning - A Study of Point Cloud-Based Deep Learning Models. - Sandun Dasanayake, Sanja Aaramaa, Jouni Markkula, Markku Oivo:
Impact of requirements volatility on software architecture: How do software teams keep up with ever-changing requirements? - Julian Stier, Gabriele Gianini, Michael Granitzer, Konstantin Ziegler:
Analysing Neural Network Topologies: a Game Theoretic Approach. - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zhibo Chen:
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing. - Jia Li, Xing Wei, Guoqiang Yang, Xiao Sun, Changliang Li:
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets. - Charalampos E. Tsourakakis, Tianyi Chen, Naonori Kakimura, Jakub Pachocki:
Novel Dense Subgraph Discovery Primitives: Risk Aversion and Exclusion Queries. - Ioana Suciu, Jose Carlos Pacho, Andrea Bartoli, Xavier Vilajosana:
Authenticated Preambles for Denial of Service Mitigation in LPWANs. - Angèle M. Foley, Dallas J. Fraser, Chính T. Hoàng, Kevin Holmes, Tom P. LaMantia:
The intersection of two vertex coloring problems. - Trevor Clokie, Daniel Gabric, Jeffrey O. Shallit:
Circularly squarefree words and unbordered conjugates: a new approach. - Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian:
CenterNet: Keypoint Triplets for Object Detection. - Tom Pelsmaeker, Wilker Aziz:
Effective Estimation of Deep Generative Language Models. - Jiehua Chen:
Computational Complexity of Stable Marriage and Stable Roommates and Their Variants. - Xiaoxue Shen, Liyang Gu, Adele Lu Jia:
Cultivating Online: Question Routing in a Question and Answering Community for Agriculture. - Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau:
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection. - Zhaorui Wang, Soung Chang Liew:
Coherent Detection for Short-Packet Physical-Layer Network Coding with FSK Modulation. - Ioana Suciu, Filip Maksimovic, David C. Burnett, Osama Khan, Brad Wheeler, Arvind Sundararajan, Thomas Watteyne, Xavier Vilajosana, Kris Pister:
Experimental Clock Calibration on a Crystal-Free Mote-on-a-Chip. - Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. - Sascha Brandt, Claudius Jähn, Matthias Fischer, Friedhelm Meyer auf der Heide:
Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels. - Yves Aubry, Elena Berardini, Fabien Herbaut, Marc Perret:
Algebraic geometry codes over abelian surfaces containing no absolutely irreducible curves of low genus. - Pawel Sawicki, Jaroslaw Pykacz, Pawel Bytner:
Berge equilibria in n-person 2-strategy games. - Mumtaz Abdul Hameed, Nalin Asanka Gamagedara Arachchilage:
On the Impact of Perceived Vulnerability in the Adoption of Information Systems Security Innovations. - Hussien Al-Hmood, Hamed S. Al-Raweshidy:
Performance Analysis of Physical Layer Security over Fluctuating Beckmann Fading Channels. - Issam W. Damaj, Hassan B. Diab:
Performance Analysis of Linear Algebraic Functions using Reconfigurable Computing. - Mathieu Geisert, Thomas Yates, Asil Orgen, Pierre Fernbach, Ioannis Havoutis:
Contact Planning for the ANYmal Quadruped Robot using an Acyclic Reachability-Based Planner. - Daniel Graziotin, Fabian Fagerholm:
Happiness and the productivity of software engineers. - Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo, Roberto Javier López-Sastre:
Deep Anomaly Detection for Generalized Face Anti-Spoofing. - Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li:
LO-Net: Deep Real-time Lidar Odometry. - Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza:
End-to-End Learning of Representations for Asynchronous Event-Based Data. - Sujay Khandagale, Han Xiao, Rohit Babbar:
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification. - Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga:
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. - Buddhima Gamlath, Michael Kapralov, Andreas Maggiori, Ola Svensson, David Wajc:
Online Matching with General Arrivals. - Li Yuan, Francis E. H. Tay, Ping Li, Li Zhou, Jiashi Feng:
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization. - Yaoming Cai, Xiaobo Liu, Zhihua Cai:
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image. - Han Qiu, Meikang Qiu, Meiqin Liu, Gérard Memmi:
Privacy-preserving Health Data Sharing for Medical Cyber-Physical Systems. - Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata:
Interpreting Adversarial Examples with Attributes. - Lei Li, Tsung-Hui Chang, Shu Cai:
UAV Positioning and Power Control for Two-Way Wireless Relaying. - Alon Rozental, Dadi Biton:
Amobee at SemEval-2019 Tasks 5 and 6: Multiple Choice CNN Over Contextual Embedding. - Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-to-Video: Bringing Modern Computer Vision to Event Cameras. - Juri Opitz, Anette Frank:
Automatic Accuracy Prediction for AMR Parsing. - Oleh V. Andriichuk, Vitaliy V. Tsyganok, Dmitry V. Lande, Oleg Chertov, Yaroslava Porplenko:
Usage of Decision Support Systems for Conflicts Modelling during Information Operations Recognition. - Peiming Li, Jie Xu:
Fundamental Rate Limits of UAV-Enabled Multiple Access Channel with Trajectory Optimization. - Satoshi Takabe, Tadashi Wadayama, Ángeles Vázquez-Castro, Masahito Hayashi:
Compute-and-forward relaying with LDPC codes over QPSK scheme. - Pourya Saljoughi, Reza Ma'anijou, Ehsan Fouladi, Narges Majidi, Saber Yaghoobi, Houman Fallah, Saeideh Zahedi:
LegenDary 2012 Soccer 2D Simulation Team Description Paper. - Gakuto Kurata, Kartik Audhkhasi:
Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation. - Oscar Araque, Lorenzo Gatti, Kyriaki Kalimeri:
MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction. - Thomas Pike:
Multi-Level Mesa. - Yanze Wu, Qiang Sun, Jianqi Ma, Bin Li, Yanwei Fu, Yao Peng, Xiangyang Xue:
Question Guided Modular Routing Networks for Visual Question Answering. - Ibou Sene, Abdoul Aziz Ciss, Oumar Niang:
Performance study of ABC scheme in an IoT context: the case of I2PA, Idemix and U-prove. - Dmytro Ageyev, Oleg Bondarenko, Tamara Radivilova, Walla Alfroukh:
Classification of Existing Virtualization Methods Used in Telecommunication Networks. - Chao Zhang:
Truxen: A Trusted Computing Enhanced Blockchain. - Laura Bocchi, Hernán C. Melgratti, Emilio Tuosto:
On Resolving Non-determinism in Choreographies. - Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information). - Ibou Sene, Abdoul Aziz Ciss, Oumar Niang:
I2PA : An Efficient ABC for IoT. - Chen-Chou Lo, Szu-Wei Fu, Wen-Chin Huang, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang:
MOSNet: Deep Learning based Objective Assessment for Voice Conversion. - Dimitrios Michail, Joris Kinable, Barak Naveh, John V. Sichi:
JGraphT - A Java library for graph data structures and algorithms. - Nicolas Behr:
Sesqui-Pushout Rewriting: Concurrency, Associativity and Rule Algebra Framework. 23-52 - Ruolin Li, Negar Mehr, Roberto Horowitz:
An Extended Game-Theoretic Model for Aggregate Lane Choice Behavior of Vehicles at Traffic Diverges with a Bifurcating Lane. - Ran Wang, Karthikeya S. Parunandi, Dan Yu, Dileep M. Kalathil, Suman Chakravorty:
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems. - Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie:
Aggregation Cross-Entropy for Sequence Recognition. - Kuang Xu, Yuan Zhong:
Information and Memory in Dynamic Resource Allocation. - Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker:
Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion. - Jared Roesch, Steven Lyubomirsky, Marisa Kirisame, Josh Pollock, Logan Weber, Ziheng Jiang, Tianqi Chen, Thierry Moreau, Zachary Tatlock:
Relay: A High-Level IR for Deep Learning. - Wolfgang Mack, Emanuël A. P. Habets:
Deep Filtering: Signal Extraction Using Complex Time-Frequency Filters. - Rodrigo Nogueira, Wei Yang, Jimmy Lin, Kyunghyun Cho:
Document Expansion by Query Prediction. - Ahmed Fadhil:
Comparison of Self-monitoring Feedback Data from Electronic Food and Nutrition Tracking Tools. - Yuying Chen, Congcong Liu, Lei Tai, Ming Liu, Bertram E. Shi:
Gaze Training by Modulated Dropout Improves Imitation Learning. - Ben Krause, Emmanuel Kahembwe, Iain Murray, Steve Renals:
Dynamic Evaluation of Transformer Language Models. - Oran Gafni, Lior Wolf, Yaniv Taigman:
Vid2Game: Controllable Characters Extracted from Real-World Videos. - Laxman Dhulipala, Julian Shun, Guy E. Blelloch:
Low-Latency Graph Streaming Using Compressed Purely-Functional Trees. - Sebastian Forster, Liu Yang:
A Faster Local Algorithm for Detecting Bounded-Size Cuts with Applications to Higher-Connectivity Problems. - Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageyev, Maxim Tawalbeh, Vitalii Bulakh:
Decrypting SSL/TLS traffic for hidden threats detection. - Ihor Dobrynin, Tamara Radivilova, Nadiia Maltseva, Dmytro Ageyev:
Use of Approaches to the Methodology of Factor Analysis of Information Risks for the Quantitative Assessment of Information Risks Based on the Formation of Cause-And-Effect Links. - Shufan Wang, Mohit Iyyer:
Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism. - Rohit Agrawal:
Samplers and extractors for unbounded functions. - Roger Piqueras Jover:
The current state of affairs in 5G security and the main remaining security challenges. - Ronan Keane, Huaizhu Oliver Gao:
A formulation of the relaxation phenomenon for lane changing dynamics in an arbitrary car following model. - Sebastien Lablanche, Gerard Lablanche:
Process of image super-resolution. - Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin:
DocBERT: BERT for Document Classification. - Dmitry Chistikov, Mikhail N. Vyalyi:
Re-pairing brackets. - Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-based Vision: A Survey. - Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Fast object detection in compressed JPEG Images. - Reiichiro Nakano:
Neural Painters: A learned differentiable constraint for generating brushstroke paintings. - Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao:
SCE: A manifold regularized set-covering method for data partitioning. - Andreas Danzer, Thomas Griebel, Martin Bach, Klaus Dietmayer:
2D Car Detection in Radar Data with PointNets. - Benjamin Doerr:
An Exponential Lower Bound for the Runtime of the cGA on Jump Functions. - Mohamed Hamroun, Sonia Lajmi:
An efficient multi-language Video Search Engine to facilitate the HADJ and the UMRA. - Lambert Schomaker:
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods. - Ji Lin, Chuang Gan, Song Han:
Defensive Quantization: When Efficiency Meets Robustness. - Afshin Mesbahi, Jingjing Bu, Mehran Mesbahi:
Nonlinear Observability via Koopman Analysis: Characterizing the Role of Symmetry. - Jingjing Bu, Afshin Mesbahi, Mehran Mesbahi:
On Topological Properties of the Set of Stabilizing Feedback Gains. - Zhenyu Tang, John D. Kanu, Kevin Hogan, Dinesh Manocha:
Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks. - Oleg V. Vasilyev, Tom Grek, John Bohannon:
Headline Generation: Learning from Decomposed Document Titles. - Zhenyu Zhang, Stéphane Lathuilière, Andrea Pilzer, Nicu Sebe, Elisa Ricci, Jian Yang:
Online Adaptation through Meta-Learning for Stereo Depth Estimation. - Zhenlin Xu, Marc Niethammer:
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation. - Yutaka Nagashima:
Towards Evolutionary Theorem Proving for Isabelle/HOL. - Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill:
Off-Policy Policy Gradient with State Distribution Correction. - Moab Arar, Dov Danon, Daniel Cohen-Or, Ariel Shamir:
Image Resizing by Reconstruction from Deep Features. - Negin Musavi:
A Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts. - Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, Tat-Seng Chua:
LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning. - Jie You, Mosharaf Chowdhury:
Terra: Scalable Cross-Layer GDA Optimizations. - Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. - Zhenzhou Wang:
Is deep learning a good choice for image segmentation? - Robin Elizabeth Yancey:
Bilinear Faster RCNN with ELA for Image Tampering Detection. - Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh:
Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset. - Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang:
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. - Dejan Brkic, Pavel Praks:
Short Overview of Early Developments of the Hardy Cross Type Methods for Computation of Flow Distribution in Pipe Networks. - Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde:
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. - Yuxin Chen, Huiying Li, Steven Nagels, Zhijing Li, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
Understanding the Effectiveness of Ultrasonic Microphone Jammer. - Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni:
Learning Interpretable Disentangled Representations using Adversarial VAEs. - Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. - Shiva Azimi, Brejesh Lall, Tapan K. Gandhi:
Performance Evalution of 3D Keypoint Detectors and Descriptors for Plants Health Classification. - Siddharth Srivastava, Frédéric Jurie, Gaurav Sharma:
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles. - Behzad Ghazanfari, Fatemeh Afghah, Kayvan Najarian, Sajad Mousavi, Jonathan Gryak, James Todd:
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. - (Withdrawn) Tensor Sparse PCA and Face Recognition: A Novel Approach.
- Pedro Ribeiro Mendes Júnior, Luca Bondi, Paolo Bestagini, Stefano Tubaro, Anderson Rocha:
An In-Depth Study on Open-Set Camera Model Identification. - Ahmed Khalifa:
Controller Design and Implementation of a New Quadrotor Manipulation System. - Huibing Wang, Jinjia Peng, Xianping Fu:
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction. - Jingfan Wang, Lyne P. Tchapmi, Arvind P. Ravikumar, Mike McGuire, Clay S. Bell, Daniel Zimmerle, Silvio Savarese, Adam R. Brandt:
Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera. - Noreddine Gherabi, Mohamed Bahaj:
New method for shape recognition based on dynamic programming. - Davis Wertheimer, Bharath Hariharan:
Few-Shot Learning with Localization in Realistic Settings. - Assaf Arbelle, Eliav Elul, Tammy Riklin Raviv:
QANet - Quality Assurance Network for Microscopy Cell Segmentation. - Kenta Hama, Takashi Matsubara, Kuniaki Uehara, Jianfei Cai:
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task. - Clebeson Canuto dos Santos, Jorge Leonid Aching Samatelo, Raquel Frizera Vassallo:
Dynamic Gesture Recognition by Using CNNs and Star RGB: a Temporal Information Condensation. - Ehsan Nezhadarya, Ehsan Taghavi, Bingbing Liu, Jun Luo:
Adaptive Hierarchical Down-Sampling for Point Cloud Classification. - Charlotte Frenkel, Jean-Didier Legat, David Bol:
MorphIC: A 65-nm 738k-Synapse/mm2 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning. - Rui Qiao, Ngoc Hieu Tran, Ming Li, Lei Xin, Baozhen Shan, Ali Ghodsi:
DeepNovoV2: Better de novo peptide sequencing with deep learning. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah:
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks. - Xiao Lin, Josep R. Casas, Montse Pardàs:
Graph based Dynamic Segmentation of Generic Objects in 3D. - Arkady Molev-Shteiman, Xiao-Feng Qi, Laurence Mailaender, Narayan Prasad, Bertrand M. Hochwald:
New equivalent model of quantizer with noisy input and its application for ADC resolution determination in an uplink MIMO receiver. - Sanket S. Kalamkar, Martin Haenggi:
Per-link Reliability and Rate Control: Two Facets of the SIR Meta Distribution. - Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy:
Towards Open Intent Discovery for Conversational Text. - Pedro J. Zufiria, David Pastor-Escuredo, Luis Ubeda-Medina, Miguel Angel Hernández-Medina, Iker Barriales-Valbuena, Alfredo J. Morales, Wilfred Nkwambi, John Quinn, Paula Hidalgo Sanchis, Miguel A. Luengo-Oroz:
Mobility profiles and calendars for food security and livelihoods analysis. - Reazul Hasan Russel, Tianyi Gu, Marek Petrik:
Robust Exploration with Tight Bayesian Plausibility Sets. - Bradley Hauer, Grzegorz Kondrak:
One Homonym per Translation. - Hadrien Bertrand, Mohammad Hashir, Joseph Paul Cohen:
Do Lateral Views Help Automated Chest X-ray Predictions? - Paria Jamshid Lou, Yufei Wang, Mark Johnson:
Neural Constituency Parsing of Speech Transcripts. - Matthew Purri, Jia Xue, Kristin J. Dana, Matthew J. Leotta, Dan Lipsa, Zhixin Li, Bo Xu, Jie Shan:
Material Segmentation of Multi-View Satellite Imagery. - Christian Parkinson, Kevin Huynh, Deanna Needell:
Matrix Completion With Selective Sampling. - Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai:
Generative Model for Zero-Shot Sketch-Based Image Retrieval. - Vatsal Sharan, Aaron Sidford, Gregory Valiant:
Memory-Sample Tradeoffs for Linear Regression with Small Error. - Qiaoyu Tan, Ninghao Liu, Xia Hu:
Deep Representation Learning for Social Network Analysis. - Neda Zarayeneh, Ananth Kalyanaraman:
A Fast and Efficient Incremental Approach toward Dynamic Community Detection. - Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao:
Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks. - Hal Finkel, David Poliakoff, David F. Richards:
ClangJIT: Enhancing C++ with Just-in-Time Compilation. - Ying Wang, Xiao Xu:
Inpatient2Vec: Medical Representation Learning for Inpatients. - Vishnu Raj, Sheetal Kalyani:
Design of Communication Systems using Deep Learning: A Variational Inference Perspective. - Jonathan Sterling, Carlo Angiuli, Daniel Gratzer:
Cubical Syntax for Reflection-Free Extensional Equality. - Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching. - Jiaxi He, Frank Z. Xing, Ran Yang, Cishen Zhang:
Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization. - Nima Hamidi, Mohsen Bayati:
On Low-rank Trace Regression under General Sampling Distribution. - William G. La Cava, Jason H. Moore:
Semantic variation operators for multidimensional genetic programming. - Rui Fan, Mohammud Junaid Bocus, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu:
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding. - Siqi Yi, Stewart Worrall, Eduardo M. Nebot:
Metrics for the Evaluation of localisation Robustness. - Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin:
Creative Procedural-Knowledge Extraction From Web Design Tutorials. - Paul Gastin, Sayan Mukherjee, B. Srivathsan:
Fast algorithms for handling diagonal constraints in timed automata. - Jesse Paterson, Jiwoong Han, Tom Cheng, Paxtan Laker, David Livingston McPherson, Joseph Menke, Allen Y. Yang:
Improving Usability, Efficiency, and Safety of UAV Path Planning through a Virtual Reality Interface. - Sriram Ravula, Alexandros G. Dimakis:
One-dimensional Deep Image Prior for Time Series Inverse Problems. - Julie Chang, Gordon Wetzstein:
Deep Optics for Monocular Depth Estimation and 3D Object Detection. - Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Progressive Attention Memory Network for Movie Story Question Answering. - Xu Yang, Hanwang Zhang, Jianfei Cai:
Learning to Collocate Neural Modules for Image Captioning. - Daniel Wild, Maximilian Weber, Jan Egger:
Client/Server Based Online Environment for Manual Segmentation of Medical Images. - Kazi Nazmul Haque, Siddique Latif, Rajib Rana:
Disentangled Representation Learning with Information Maximizing Autoencoder. - Grzegorz Korcyl, Piotr Korcyl:
Investigating the Dirac operator evaluation with FPGAs. - Guangliang Li, Randy Gomez, Keisuke Nakamura, Jinying Lin, Qilei Zhang, Bo He:
Improving Interactive Reinforcement Agent Planning with Human Demonstration. - Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao:
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. - Onur Çagirici, Subir Kumar Ghosh, Petr Hlinený, Bodhayan Roy:
On conflict-free chromatic guarding of simple polygons. - Maximilian Zocholl, Elena Camossi, Anne-Laure Jousselme, Cyril Ray:
Ontology-based Design of Experiments on Big Data Solutions. - Kübra Taninmis, Necati Aras, I. Kuban Altinel:
Influence Maximization With Deactivation In Social Networks. - Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Online Learning for Fast Video Object Segmentation. - Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang:
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization. - Ke Gu, Dacheng Tao, Junfei Qiao, Weisi Lin:
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data. - Toby Perrett, Dima Damen:
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition. - Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. - Sebastian Biewer, Pedro R. D'Argenio, Holger Hermanns:
Doping Tests for Cyber-Physical Systems. - Victor V. Kitov:
Real-Time Style Transfer With Strength Control. - Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus A. Magnor:
Tex2Shape: Detailed Full Human Body Geometry from a Single Image. - Simen Thys, Wiebe Van Ranst, Toon Goedemé:
Fooling automated surveillance cameras: adversarial patches to attack person detection. - Philipp Dufter, Hinrich Schütze:
Analytical Methods for Interpretable Ultradense Word Embeddings. - Julia Rackerseder, Rüdiger Göbl, Nassir Navab, Christoph Hennersperger:
Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations. - Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf:
Batch Tournament Selection for Genetic Programming. - Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati:
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval. - Dayong Tian, Dacheng Tao:
Coupled Learning for Facial Deblur. - Ester Livshits, Leopoldo E. Bertossi, Benny Kimelfeld, Moshe Sebag:
The Shapley Value of Tuples in Query Answering. - Manan Bhandari, Ishan Bansal, V. Lalitha:
On the Scaling Exponent of Polar Codes with Product Kernels. - Sara Faghih-Naini, Sebastian Kuckuk, Vadym Aizinger, Daniel Zint, Roberto Grosso, Harald Köstler:
Towards whole program generation of quadrature-free discontinuous Galerkin methods for the shallow water equations. - Dayong Tian, Dacheng Tao:
Global Hashing System for Fast Image Search. - Jiaqi Cong, Tian Lin, Yu Zhu:
Hybrid MMSE Beamforming for Multiuser Millimeter Wave Communication Systems. - Vassili Kovalev, Siarhei Kazlouski:
Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training. - Björn Þór Jónsson, Omar Shahbaz Khan, Hanna Ragnarsdóttir, Þórhildur Þorleiksdóttir, Jan Zahálka, Stevan Rudinac, Gylfi Þór Guðmundsson, Laurent Amsaleg, Marcel Worring:
Exquisitor: Interactive Learning at Large. - Julien Lavauzelle, Jade Nardi:
Weighted Lifted Codes: Local Correctabilities and Application to Robust Private Information Retrieval. - Nils Rexin, Marcel Musch, Klaus Dietmayer:
Fusion of Object Tracking and Dynamic Occupancy Grid Map. - Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao:
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition. - Rukhsana Ruby, Shuxin Zhong, Derrick Wing Kwan Ng, Kaishun Wu, Victor C. M. Leung:
Enhanced Energy-Efficient Downlink Resource Allocation in Green Non-Orthogonal Multiple Access Systems. - Mikhail Vilgelm, Sergio Rueda Liñares, Wolfgang Kellerer:
Dynamic Binary Countdown for Massive IoT Random Access in Dense 5G Networks. - Lydia Weiland, Ioana Hulpus, Simone Paolo Ponzetto, Wolfgang Effelsberg, Laura Dietz:
Knowledge-rich Image Gist Understanding Beyond Literal Meaning. - Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. - Erik Borra, Andreas Kaltenbrunner, Michele Mauri, Esther Weltevrede, David Laniado, Richard Rogers, Paolo Ciuccarelli, Giovanni Magni, Tommaso Venturini:
Societal Controversies in Wikipedia Articles. - Jan A. Bergstra:
Quantitative Expressiveness of Instruction Sequence Classes for Computation on Single Bit Registers. - Zhe Wu, Li Su, Qingming Huang:
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection. - Nikolaj Tatti, Boris Cule:
Mining Closed Episodes with Simultaneous Events. - Christoph Schöller, Maximilian Schnettler, Annkathrin Krämmer, Gereon Hinz, Maida Bakovic, Müge Güzet, Alois C. Knoll:
Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems. - Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez, Jean-Philippe Thiran, Maria Gabrani:
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs. - Vincent Froese, Malte Renken:
Advancing Through Terrains. - Fabio Giachelle, Gianmaria Silvello:
A Progressive Visual Analytics Tool for Incremental Experimental Evaluation. - Christopher B. Choy, JunYoung Gwak, Silvio Savarese:
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks. - Amjad Rehman, Majid Harouni, Tanzila Saba:
Cursive Multilingual Characters Recognition Based on Hard Geometric Features. - Ryuichi Ueda, Masahiro Kato, Atsushi Saito:
Particle Filter on Episode. - Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal:
Memory and Parallelism Analysis Using a Platform-Independent Approach. - Sandip Modha, Prasenjit Majumder:
An Empirical Evaluation of Text Representation Schemes on Multilingual Social Web to Filter the Textual Aggression. - Fabian Eitel, Emily Soehler, Judith Bellmann-Strobl, Alexander Ulrich Brandt, Klemens Ruprecht, René M. Giess, Joseph Kuchling, Susanna Asseyer, Martin Weygandt, John-Dylan Haynes, Michael Scheel, Friedemann Paul, Kerstin Ritter:
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation. - Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou:
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation. - Sven Puchinger, Julian Renner, Antonia Wachter-Zeh:
Decoding High-Order Interleaved Rank-Metric Codes. - Sebastian F. Ruf, Magnus Egerstedt, Jeff S. Shamma:
Herdability of Linear Systems Based on Sign Patterns and Graph Structures. - Christine Basta, Marta Ruiz Costa-jussà, Noe Casas:
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings. - Chenyang Xi, Tianyu Shi, Jie Chen:
A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario. - Alejandro Díaz-Caro, Mauricio Guillermo, Alexandre Miquel, Benoît Valiron:
Realizability in the Unitary Sphere. - Giannis Delimpaltadakis, Manuel Mazo Jr.:
Isochronous Partitions for Region-Based Self-Triggered Control. - Mohammad Almseidin, Szilveszter Kovács:
Intrusion Detection Mechanism Using Fuzzy Rule Interpolation. - Pradip Mainali, Carlton Shepherd, Fabien A. P. Petitcolas:
Enhancing the Privacy and Computability of Location-Sensitive Data for Context Authentication. - Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem:
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing. - Gerco van Heerdt, Tobias Kappé, Jurriaan Rot, Matteo Sammartino, Alexandra Silva:
Tree Automata as Algebras: Minimisation and Determinisation. - George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros:
Influence Maximization via Representation Learning. - Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti:
A Framework to Control Functional Connectivity in the Human Brain. - Dario Izzo, Ekin Öztürk, Marcus Märtens:
Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function. - Dong Liu, Haochen Zhang, Zhiwei Xiong:
On The Classification-Distortion-Perception Tradeoff. - Alceu Bissoto, Michel Fornaciali, Eduardo Valle, Sandra Avila:
(De)Constructing Bias on Skin Lesion Datasets. - Mosab Hassaan, Karam Gouda:
New Subgraph Isomorphism Algorithms: Vertex versus Path-at-a-time Matching. - Étienne André, Didier Lime, Mathias Ramparison:
Parametric updates in parametric timed automata. - Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand:
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation. - Bahareh Tolooshams, Sourav Dey, Demba E. Ba:
Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning. - Matthew A. Wright, Simon F. G. Ehlers, Roberto Horowitz:
Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs. - Min Jun Kim, Woongyong Lee, Jae Yeon Choi, Goo Bong Chung, Kyung-Lyong Han, Il Seop Choi, Christian Ott, Wan Kyun Chung:
A Passivity-based Nonlinear Admittance Control with Application to Powered Upper-limb Control under Unknown Environmental Interactions. - Dongjun Lee:
Recursive and Clause-Wise Decoding for Complex and Cross-Domain Text-to-SQL Generation. - Yuriy V. Pershin, Massimiliano Di Ventra:
On the validity of memristor modeling in the neural network literature. - Ruihan Yang, Tianyao Chen, Yiyi Zhang, Gus Xia:
Inspecting and Interacting with Meaningful Music Representations using VAE. - Alex Simpson, Niels F. W. Voorneveld:
Behavioural Equivalence via Modalities for Algebraic Effects. - Ezio Bartocci, Luca Bortolussi, Michele Loreti, Laura Nenzi:
Monitoring Mobile and Spatially Distributed Cyber-Physical Systems. - Thierry Boy de la Tour, Rachid Echahed:
True Parallel Graph Transformations: an Algebraic Approach Based on Weak Spans. - Fernando García, Amit Kumar Pandey, Charles Fattal:
Wait for me! Towards socially assistive walk companions. - Bai Cui, Xu Andy Sun:
Solvability of Power Flow Equations Through Existence and Uniqueness of Complex Fixed Point. - Jimmy Lin:
The Simplest Thing That Can Possibly Work: Pseudo-Relevance Feedback Using Text Classification. - Haoyi Liang, Aijaz Naik, Cedric L. Williams, Jaideep Kapur, Daniel S. Weller:
Enhanced Center Coding for Cell Detection with Convolutional Neural Networks. - Abdullah J. Alzahrani, Hina Afridi:
Salient Object Detection: A Distinctive Feature Integration Model. - Jia Yan, Jie Li, Xin Fu:
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement. - Andrés Cristi, Marc Schröder:
Negative Prices in Network Pricing Games. - Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas:
KPConv: Flexible and Deformable Convolution for Point Clouds. - Hei Law, Yun Teng, Olga Russakovsky, Jia Deng:
CornerNet-Lite: Efficient Keypoint Based Object Detection. - Martin Florian, Sophie Beaucamp, Sebastian A. Henningsen, Björn Scheuermann:
Erasing Data from Blockchain Nodes. - Akari Ishikawa, Edson R. Bollis, Sandra Avila:
Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons. - Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun:
Deep Rigid Instance Scene Flow. - Steven Kearnes, Li Li, Patrick Riley:
Decoding Molecular Graph Embeddings with Reinforcement Learning. - A. J. Piergiovanni, Michael S. Ryoo:
Early Detection of Injuries in MLB Pitchers from Video. - Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos:
Attentive Single-Tasking of Multiple Tasks. - Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach:
Towards VQA Models that can Read. - Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. - Vladimir Vargas-Calderón, Jorge Camargo:
Characterization of citizens using word2vec and latent topic analysis in a large set of tweets. - Shuai Shao, Yanjiang Wang, Bao-Di Liu, Rui Xu, Ye Li:
Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification. - Yeahuay Joie Wu, Surya Teja Devarakonda, Madalina Fiterau:
FLARe: Forecasting by Learning Anticipated Representations. - Vivienne V. Forrester:
School management information systems: Challenges to educational decision-making in the big data era. - Ali Yazdizadeh, Zachary Patterson, Bilal Farooq:
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. - Utkan Onur Candogan, Venkat Chandrasekaran:
Convex Graph Invariant Relaxations For Graph Edit Distance. - Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar:
Explaining Deep Classification of Time-Series Data with Learned Prototypes. - Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel, Hong Xie:
Language Modeling through Long Term Memory Network. - Anh Nguyen, Jason Yosinski, Jeff Clune:
Understanding Neural Networks via Feature Visualization: A survey. - Xiaochuang Han, Eunsol Choi, Chenhao Tan:
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. - Sungjin Im, Benjamin Moseley:
A Conditional Lower Bound on Graph Connectivity in MapReduce. - Xingjian Du, Xuan Shi, Risheng Huang:
RepGN: Object Detection with Relational Proposal Graph Network. - Kesav Kaza, Rahul Meshram, Varun Mehta, S. N. Merchant:
Sequential Decision Making under Uncertainty with Dynamic Resource Constraints. - Zhipeng Ding, Xu Han, Marc Niethammer:
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation. - Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin:
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. - Marwen Zorgui, Mohammed E. Fouda, Zhiying Wang, Ahmed M. Eltawil, Fadi J. Kurdahi:
Non-Stationary Polar Codes for Resistive Memories. - Amit S. Chhetri, Mohamed Mansour, Wontak Kim, Guangdong Pan:
On Acoustic Modeling for Broadband Beamforming. - Ahmed Khalifa, Michael Cerny Green, Gabriella A. B. Barros, Julian Togelius:
Intentional Computational Level Design. - Apoorv Shukla, Said Jawad Saidi, Stefan Schmid, Marco Canini, Thomas Zinner, Anja Feldmann:
Consistent SDNs through Network State Fuzzing. - Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon:
Exploring the Limitations of Behavior Cloning for Autonomous Driving. - Adam Polyak, Lior Wolf, Yaniv Taigman:
TTS Skins: Speaker Conversion via ASR. - Parag Mhashilkar, Mine Altunay, Eileen Berman, W. David Dagenhart, Stuart Fuess, Burt Holzman, James B. Kowalkowski, Dmitry Litvintsev, Qiming Lu, Alexander Moibenko, Marc F. Paterno, Panagiotis Spentzouris, Steven Timm, Anthony Tiradani, Eric Vaandering, John Hover, Jose Caballero Bejar:
HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System. - Sajjad Abdoli, Patrick Cardinal, Alessandro Lameiras Koerich:
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network. - Samuel S. Mendelson, Robert W. Strand, Guy B. Oldaker IV, Jacob M. Farinholt:
Quantum-Assisted Clustering Algorithms for NISQ-Era Devices. - Andrew Cropper:
Playgol: learning programs through play. - Lilian Weng:
From GAN to WGAN. - Mohammad Nazif Faqiry, Lawryn Edmonds, Hongyu Wu:
Distribution LMP-based Transactive Day-ahead Market with Variable Renewable Generation. - Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer:
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. - Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba:
Self-Supervised Audio-Visual Co-Segmentation. - Maria-Florina Balcan, Travis Dick, Wesley Pegden:
Semi-bandit Optimization in the Dispersed Setting. - Ferran Alet, Adarsh K. Jeewajee, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Graph Element Networks: adaptive, structured computation and memory. - Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, Monica S. Lam:
Genie: A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands. - Saeed Arabi, Arya Haghighat, Anuj Sharma:
A deep learning based solution for construction equipment detection: from development to deployment. - Alexandra Kearney, Oliver Oxton:
Making Meaning: Semiotics Within Predictive Knowledge Architectures. - Alex Kearney, Patrick M. Pilarski:
When is a Prediction Knowledge? - Liqian Ma, Qianru Sun, Bernt Schiele, Luc Van Gool:
A Novel BiLevel Paradigm for Image-to-Image Translation. - José-María Hidalgo-Arteaga, Fiodar Hancharou, Florian Thams, Spyros Chatzivasileiadis:
Deep Learning for Power System Security Assessment. - Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie:
Predict Future Sales using Ensembled Random Forests. - Iman Tahamtan, Li-Min Huang:
#Cyberbullying in the digital age: People's perspective and information sharing behavior on Twitter. - Navamita Ray, Tirtha Banerjee, Balasubramanya T. Nadiga, Satish Karra:
Towards Solving the Navier-Stokes Equation on Quantum Computers. - Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification. - Chu Wang, Lei Tang, Yang Lu, Shujun Bian, Hirohisa Fujita, Da Zhang, Zuohua Zhang, Yongning Wu:
ProductNet: a Collection of High-Quality Datasets for Product Representation Learning. - Yi Tian Xu, Yaqiao Li, David Meger:
Human Motion Prediction via Pattern Completion in Latent Representation Space. - Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. - Laurent Lessard, Peter Seiler:
Direct Synthesis of Iterative Algorithms with Bounds on Achievable Worst-Case Convergence Rate. - Siqi Yi, Stewart Worrall, Eduardo M. Nebot:
Geographical Map Registration and Fusion of Lidar-Aerial Orthoimagery in GIS. - Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. - Abram Handler, Brendan O'Connor:
Query-focused Sentence Compression in Linear Time. - Boshuang Huang, Qing Zhao:
Disagreement-based Active Learning in Online Settings. - Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak:
Feature Fusion for Online Mutual Knowledge Distillation. - Peter Morales, Tzofi Klinghoffer, Seung Jae Lee:
Feature Forwarding for Efficient Single Image Dehazing. - Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra:
Emergence of Compositional Language with Deep Generational Transmission. - Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. - Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal:
Identifying Offensive Posts and Targeted Offense from Twitter. - Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran:
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. - Md. Zahangir Alom, Theus H. Aspiras, Tarek M. Taha, Vijayan K. Asari, T. J. Bowen, Dave Billiter, Simon Arkell:
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases. - Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal:
Suggestion Mining from Online Reviews using ULMFiT. - Shijie Wu, Mark Dredze:
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. - Jun-Ho Choi, Jong-Seok Lee:
EmbraceNet: A robust deep learning architecture for multimodal classification. - Guy Blanc, Neha Gupta, Gregory Valiant, Paul Valiant:
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process. - Yingtian Zou, Jiashi Feng:
Hierarchical Meta Learning. - Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer:
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. - Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer:
Learning Programmatic Idioms for Scalable Semantic Parsing. - Shayan Hassantabar, Zeyu Wang, Niraj K. Jha:
SCANN: Synthesis of Compact and Accurate Neural Networks. - Qi Wang, Junyu Gao, Xuelong Li:
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes. - Ashutosh Mahesh Pednekar:
Optimal initialization of K-means using Particle Swarm Optimization. - Xianzhi Du, Mostafa El-Khamy, Jungwon Lee:
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks. - Garima Bajwa, Mohamed Fazeen, Ram Dantu:
Detecting driver distraction using stimuli-response EEG analysis. - Can Koc, Cem Koc, Brian Su, Carlos Casarez, Ronald S. Fearing:
Body Lift and Drag for a Legged Millirobot in Compliant Beam Environment. - Junghwan Lee, Yong-Hyuk Kim:
Epistasis-based Basis Estimation Method for Simplifying the Problem Space of an Evolutionary Search in Binary Representation. - Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen:
Deep Likelihood Network for Image Restoration with Multiple Degradations. - Wenjia Wang, Junxuan Chen, Jie Zhao, Ying Chi, Xuansong Xie, Li Zhang, Xian-Sheng Hua:
Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks. - Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang, Min Zhang:
Code-Switching for Enhancing NMT with Pre-Specified Translation. - Maria José Finatto, Oto A. Vale, Éric Laporte:
Recognizing the vocabulary of Brazilian popular newspapers with a free-access computational dictionary. - Youngjae Min, Hye Won Chung:
Shallow Neural Network can Perfectly Classify an Object following Separable Probability Distribution. - Erwan Vaineau, Alexandre Barachant, Anton Andreev, Pedro C. Rodrigues, Grégoire Cattan, Marco Congedo:
Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset. - Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang:
Listen to the Image. - Arturo Cruz-Maya, Fernando García, Amit Kumar Pandey:
Enabling Socially Competent navigation through incorporating HRI. - Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. - Yunze Man, Yangsibo Huang, Junyi Feng, Xi Li, Fei Wu:
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net. - Soufian Jebbara, Philipp Cimiano:
Zero-Shot Cross-Lingual Opinion Target Extraction. - Joel D. Day, Pamela Fleischmann, Florin Manea, Dirk Nowotka:
k-Spectra of c-Balanced Words. - Antonin Delpeuch:
OpenTapioca: Lightweight Entity Linking for Wikidata. - Olivier Carton, Elisa Orduna:
Preservation of normality by transducers. - Martin Gebser, Marco Maratea, Francesco Ricca:
The Seventh Answer Set Programming Competition: Design and Results. - Fabio Henrique Kiyoiti dos Santos Tanaka, Claus Aranha:
Data Augmentation Using GANs. - Dennis Ludl, Thomas Gulde, Cristóbal Curio:
Simple yet efficient real-time pose-based action recognition. - Iago A. Carvalho, Thomas Erlebach, Kleitos Papadopoulos:
An Efficient Algorithm for the Fast Delivery Problem. - Wenguan Wang, Qiuxia Lai, Huazhu Fu, Jianbing Shen, Haibin Ling:
Salient Object Detection in the Deep Learning Era: An In-Depth Survey. - Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. - R. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers, Jonathan Baccash, Ashok C. Popat:
A Scalable Handwritten Text Recognition System. - Jérémy Anger, Mauricio Delbracio, Gabriele Facciolo:
Efficient Blind Deblurring under High Noise Levels. - Tim Ng, Pascal Ochem, Narad Rampersad, Jeffrey O. Shallit:
New results on pseudosquare avoidance. - Jérémy Anger, Carlo de Franchis, Gabriele Facciolo:
Assessing the Sharpness of Satellite Images: Study of the PlanetScope Constellation. - Tong Mu, Karan Goel, Emma Brunskill:
PLOTS: Procedure Learning from Observations using Subtask Structure. - David Sigtermans:
Transfer Entropy: where Shannon meets Turing. - Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi, Hamed Asadi:
Realistic Hair Simulation Using Image Blending. - Wei Yang, Kuang Lu, Peilin Yang, Jimmy Lin:
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models. - Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou:
Video Object Segmentation and Tracking: A Survey. - Vincenzo DiLuoffo, William R. Michalson, Berk Sunar:
Credential Masquerading and OpenSSL Spy: Exploring ROS 2 using DDS security. - Laura Bozzelli, Alberto Molinari, Angelo Montanari, Adriano Peron:
Undecidability of future timeline-based planning over dense temporal domains. - Tianlin Liu, Lyle H. Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. - Marcus Gualtieri, Robert Platt Jr.:
Learning Manipulation Skills Via Hierarchical Spatial Attention. - Shichao Li, Kwang-Ting Cheng:
Visualizing the decision-making process in deep neural decision forest. - Joost Engelfriet, Kazuhiro Inaba, Sebastian Maneth:
Linear Bounded Composition of Tree-Walking Tree Transducers: Linear Size Increase and Complexity. - Philippe Lacaille:
Analyzing the benefits of communication channels between deep learning models. - Mehrdad Ghadiri, Richard Santiago, F. Bruce Shepherd:
Beyond Submodular Maximization. - Ilan Reuven Cohen, Binghui Peng, David Wajc:
Tight Bounds for Online Edge Coloring. - Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, Hua Wu:
ERNIE: Enhanced Representation through Knowledge Integration. - Lucas Gren:
Studying Attitudes and Social Norms in Agile Software Development. - Lyudmila Kirichenko, Igor Ivanisenko, Tamara Radivilova:
Dynamic load balancing algorithm of distributed systems. - Jasper C. H. Lee, Paul Valiant:
Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins. - Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers:
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. - Nikolaj Tatti, Boris Cule:
Mining Closed Strict Episodes. - Adam Rambousek, Harry Parkin, Ales Horák:
Software Tools for Big Data Resources in Family Names Dictionaries. - Vu-Linh Nguyen, Eyke Hüllermeier:
Reliable Multi-label Classification: Prediction with Partial Abstention. - Sashank J. Reddi, Satyen Kale, Sanjiv Kumar:
On the Convergence of Adam and Beyond. - Per Kristian Lehre, Phan Trung Hai Nguyen:
Runtime Analysis of the Univariate Marginal Distribution Algorithm under Low Selective Pressure and Prior Noise. - Alessandro Aloisio, Vahan Mkrtchyan:
On the fixed-parameter tractability of the maximum 2-edge-colorable subgraph problem. - Ross Hartley, Maani Ghaffari Jadidi, Ryan M. Eustice, Jessy W. Grizzle:
Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation. - Jinxiang Song, Bile Peng, Christian Häger, Henk Wymeersch, Anant Sahai:
Learning Physical-Layer Communication with Quantized Feedback. - Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman:
Fashion++: Minimal Edits for Outfit Improvement. - Hagit Shatkay, Stanley B. Zdonik:
Approximate Queries and Representations for Large Data Sequences. - Zhize Li:
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points. - Eduardo Castelló Ferrer, Thomas Hardjono, Alex Pentland:
Secure and secret cooperation of robotic swarms by using Merkle trees. - Zainab Alansari, Nor Badrul Anuar, Amirrudin Kamsin, Safeeullah Soomro, Mohammad Riyaz Belgaum:
Evaluation of IoT-Based Computational Intelligence Tools for DNA Sequence Analysis in Bioinformatics. - Zainab Alansari, Safeeullah Soomro, Mohammad Riyaz Belgaum, Shahaboddin Shamshirband:
The Rise of Internet of Things (IoT) in Big Healthcare Data: Review and Open research Issues. - Görkem Paçaci, David Johnson, Steve McKeever, Andreas Hamfelt:
"Why did you do that?": Explaining black box models with Inductive Synthesis. - Yunbin Deng:
Deep Learning on Mobile Devices - A Review. - Srilakshmi Pattabiraman, Ryan Gabrys, Olgica Milenkovic:
Reconstruction and Error-Correction Codes for Polymer-Based Data Storage. - Rathish Das, Shih-Yu Tsai, Sharmila Duppala, Jayson Lynch, Esther M. Arkin, Rezaul Chowdhury, Joseph S. B. Mitchell, Steven Skiena:
Data Races and the Discrete Resource-time Tradeoff Problem with Resource Reuse over Paths. - Anupam Gupta, Guru Guruganesh, Binghui Peng, David Wajc:
Stochastic Online Metric Matching. - Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Unifying Question Answering and Text Classification via Span Extraction. - Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz:
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. - Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li:
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing. - Kyoungseok Han, Giseo Park, Gokul S. Sankar, Kanghyun Nam, Seibum B. Choi:
Model Predictive Control Framework for Improving Vehicle Cornering Performance Using Handling Characteristics. - Varun Chandra Jammula, Anshul Rai, Yezhou Yang:
Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework. - Kushal Kafle, Robik Shrestha, Christopher Kanan:
Challenges and Prospects in Vision and Language Research. - Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang:
Context-Aware Zero-Shot Recognition. - Nicolas Behr, Jean Krivine:
Compositionality of Rewriting Rules with Conditions. - Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer:
Constant-Time Machine Translation with Conditional Masked Language Models. - Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu:
Continual Learning with Self-Organizing Maps. - Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren:
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. - Subarna Tripathi, Sharath Nittur Sridhar, Sairam Sundaresan, Hanlin Tang:
Compact Scene Graphs for Layout Composition and Patch Retrieval. - Marco De Nadai, Ângelo Cardoso, Antonio Lima, Bruno Lepri, Nuria Oliver:
Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds. - Ahmed S. Shamsaldin, Tarik A. Rashid, Rawan A. Al-Rashid Agha, Nawzad K. Al-Salihi, Mokhtar Mohammadi:
Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path Finding. - Christopher Harshaw, Moran Feldman, Justin Ward, Amin Karbasi:
Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications. - Mohammad Nur Hasan, Brian M. Kurkoski, Amin Sakzad, Emanuele Viterbo:
Steepest Gradient-Based Orthogonal Precoder For Integer-Forcing MIMO. - Thiago Andrade, João Gama:
Identifying Points of Interest and Similar Individuals from Raw GPS Data. - Kyle Kuan, Tosiron Adegbija:
Energy-Efficient Runtime Adaptable L1 STT-RAM Cache Design. - Jiawei Zhang:
Derivative-Free Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches. - Buser Say, Scott Sanner, Sylvie Thiébaux:
Reward Potentials for Planning with Learned Neural Network Transition Models. - Jiawei Zhang:
Derivative-Free Global Optimization Algorithms: Population based Methods and Random Search Approaches. - Hakan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures. - Ognjen Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard:
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. - Qiuling Yang, Gang Wang, Alireza Sadeghi, Georgios B. Giannakis, Jian Sun:
Real-time Voltage Control Using Deep Reinforcement Learning. - Jordan Holland, Max Schuchard:
Measuring Irregular Geographic Exposure on the Internet. - Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian:
Repurposing Entailment for Multi-Hop Question Answering Tasks. - Benjamin Johnson, Aron Laszka, Jens Grossklags, Tyler Moore:
Economic Analyses of Security Investments on Cryptocurrency Exchanges. - Jinming Wen, Xiao-Wen Chang, Jian Weng:
Improved Upper Bounds on the Hermite and KZ Constants. - Salar Fattahi, Nikolai Matni, Somayeh Sojoudi:
Learning Sparse Dynamical Systems from a Single Sample Trajectory. - Jinming Wen, Wei Yu:
Exact Sparse Signal Recovery via Orthogonal Matching Pursuit with Prior Information. - Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang:
Mining Rules Incrementally over Large Knowledge Bases. - Branislav Kveton, Saied Mahdian, S. Muthukrishnan, Zheng Wen, Yikun Xian:
Waterfall Bandits: Learning to Sell Ads Online. - Qingqing Wang, Wenjing Jia, Xiangjian He, Yue Lu, Michael Blumenstein, Ye Huang:
FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition. - Seung-Hee Yang, Minhwa Chung:
Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training. - Chenguang Wang, Mu Li, Alexander J. Smola:
Language Models with Transformers. - Qian-Ru Wei, Da-Zheng Feng, Wei-Xing Zheng:
Funnel Transform for Straight Line Detection. - Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala:
LEARNet Dynamic Imaging Network for Micro Expression Recognition. - Hehe Fan, Linchao Zhu, Yi Yang:
Cubic LSTMs for Video Prediction. - Xiao Chen, Thomas Navidi, Stefano Ermon, Ram Rajagopal:
Distributed generation of privacy preserving data with user customization. - Thomas Durieux, Rui Abreu, Martin Monperrus, Tegawendé F. Bissyandé:
Interviewing the Most Successful Bot on GitHub: Dr Travis CI on 35+ Million of its Jobs. - Xuelong Li, Aihong Yuan, Xiaoqiang Lu:
Multi-modal gated recurrent units for image description. - Ario Santoso, Michael Felderer:
Specification-Driven Predictive Business Process Monitoring. - Shichuan Chen, Shilian Zheng, Lifeng Yang, Xiaoniu Yang:
Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification. - Peter T. Breuer:
Chaotic Compilation for Encrypted Computing: Obfuscation but Not in Name. - Azza Allouch, Anis Koubaa, Mohamed Khalgui, Tarek Abbes:
Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions over the Internet. - Rahim Taheri, Reza Javidan, Mohammad Shojafar, Vinod P, Mauro Conti:
Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach. - Mingfei Sun, Yiqing Mou, Hongwen Xie, Meng Xia, Michelle Wong, Xiaojuan Ma:
Estimating Emotional Intensity from Body Poses for Human-Robot Interaction. - Takashi Horiyama, Jun Kawahara, Shin-ichi Minato, Yu Nakahata:
Decomposing a Graph into Unigraphs. - Chenhan Yuan, Yi-Chin Huang:
Personalized sentence generation using generative adversarial networks with author-specific word usage. - Razieh Mehri, Volker Haarslev, Hamidreza Chinaei:
Learning the Right Expansion-ordering Heuristics for Satisfiability Testing in OWL Reasoners. - Subhash Lakshminarayana, Jabir Shabbir Karachiwala, Zhan-Teng Teo, Rui Tan, David K. Y. Yau:
Performance and Resilience of Cyber-Physical Control Systems with Reactive Attack Mitigation. - Haozhou Wang, James Henderson, Paola Merlo:
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings. - Martin Schmitt, Hinrich Schütze:
Unsupervised Text Generation from Structured Data. - Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms. - Gang Liu, Yu Yu, Kenneth Alberto Funes Mora, Jean-Marc Odobez:
A Differential Approach for Gaze Estimation. - Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang:
Data-Driven Neuron Allocation for Scale Aggregation Networks. - Huijiao Wang, Li Wang, Xulei Yang, Lei Yu, Haijian Zhang:
Facial Feature Embedded CycleGAN for VIS-NIR Translation. - Athanasios L. Konstantinidis, Charis Papadopoulos:
Cluster Deletion on Interval Graphs and Split Related Graphs. - Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang:
Saliency-Guided Attention Network for Image-Sentence Matching. - Farshid Rayhan, Aphrodite Galata, Timothy F. Cootes:
ChoiceNet: CNN learning through choice of multiple feature map representations. - Abdulaziz Alashaikh, Eisa Alanazi:
Preference-based Multiobjective Virtual Machine Placement: A Ceteris Paribus Approach. - Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. - Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]. - José Martínez-Bernal, Miguel A. Valencia-Bucio, Rafael H. Villarreal:
Linear codes over signed graphs. - Joel Ruben Antony Moniz, Barun Patra, Sarthak Garg:
Compression and Localization in Reinforcement Learning for ATARI Games. - Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré:
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding. - Aleksandr Yu. Romanov:
Development of routing algorithms in networks-on-chip based on ring circulant topologies. - DaeJin Kim, Hyegyeong Park, Jun Kyun Choi:
Optimal Load Allocation for Coded Distributed Computation in Heterogeneous Clusters. - Olivia Saa, Julio Michael Stern:
Auditable Blockchain Randomization Tool. - Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka:
Model-free Deep Reinforcement Learning for Urban Autonomous Driving. - Javad Amirian, Jean-Bernard Hayet, Julien Pettré:
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs. - Zimu Guo, Xiaolin Xu, Mark M. Tehranipoor, Domenic Forte:
EOP: An Encryption-Obfuscation Solution for Protecting PCBs Against Tampering and Reverse Engineering. - Zhiyu Chen, Harini Eavani, Yinyin Liu, William Yang Wang:
Few-shot NLG with Pre-trained Language Model. - Ning Zhu:
Neural Architecture Search for Deep Face Recognition. - Marc Niethammer, Roland Kwitt, François-Xavier Vialard:
Metric Learning for Image Registration. - Boris Aronov, Esther Ezra, Joshua Zahl:
Constructive Polynomial Partitioning for Algebraic Curves in R3 with Applications. - Harrish Thasarathan, Kamyar Nazeri, Mehran Ebrahimi:
Automatic Temporally Coherent Video Colorization. - Mark A. Livingston, Zhuming Ai, Kevin Karsch, Gregory O. Gibson:
User interface design for military AR applications. - Kevin Karsch, John C. Hart:
Snaxels on a Plane. - Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. Sturm, Simon Dixon:
GAN-based Generation and Automatic Selection of Explanations for Neural Networks. - Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Daxin Jiang:
NeuronBlocks - Building Your NLP DNN Models Like Playing Lego. - Haitian Sun, Tania Bedrax-Weiss, William W. Cohen:
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. - James D. Stevens:
A mechanism for balancing accuracy and scope in cross-machine black-box GPU performance modeling. - Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam:
Fact Discovery from Knowledge Base via Facet Decomposition. - Kaushlendra K. Pandey, Abhishek K. Gupta:
On Detection of Critical Events in a Finite Forest using Randomly Deployed Wireless Sensors. - Aihong Yuan, Xuelong Li, Xiaoqiang Lu:
3G structure for image caption generation. - Jacob Andreas:
Good-Enough Compositional Data Augmentation. - Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo:
DeepCaps: Going Deeper with Capsule Networks. - Grace E. Lee, Aixin Sun:
Understanding Stability of Medical Concept Embeddings: Analysis and Prediction. - Yawen Zhang, Runsheng Wang, Xinyue Zhang, Zherui Zhang, Jiahao Song, Zuodong Zhang, Yuan Wang, Ru Huang:
A Parallel Bitstream Generator for Stochastic Computing. - Grace E. Lee, Aixin Sun:
A Study on Agreement in PICO Span Annotations. - Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo:
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series. - Michele Pagani, Sandra Alves:
Proceedings Twelfth Workshop on Developments in Computational Models and Ninth Workshop on Intersection Types and Related Systems, DCM/ITRS 2018, Oxford, UK, 8th July 2018. EPTCS 293, 2019 [contents] - Ce Jin:
An Improved FPTAS for 0-1 Knapsack. - Madhu Sudan, Himanshu Tyagi, Shun Watanabe:
Communication for Generating Correlation: A Survey. - Xiang Gao, Shuhan Shen, Lingjie Zhu, Tianxin Shi, Zhiheng Wang, Zhanyi Hu:
Complete Scene Reconstruction by Merging Images and Laser Scans. - Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. - Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy:
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation. - Xianghao Yu, Dongfang Xu, Robert Schober:
Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces. - Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen:
Obfuscation for Privacy-preserving Syntactic Parsing. - Changping Zhou, Zhen Wang, Ping Ju, Deqiang Gan:
A High Voltage Ride Through Strategy For DFIG Considering HVDC System Converter Blocking. - Aleksandar Tosic, Jernej Vicic, Michael Mrissa:
A Blockchain-based Decentralized Self-balancing Architecture for the Web of Things. - Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search. - Mathieu Huot, Sam Staton:
Quantum channels as a categorical completion. - Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu:
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation. - Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. - Mengsu Ding, Muqiao Yang, Shimin Chen:
Storing and Querying Large-Scale Spatio-Temporal Graphs with High-Throughput Edge Insertions. - Qian Yang, Aaron Steinfeld, John Zimmerman:
Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes. - (Withdrawn) Explaining a prediction in some nonlinear models.
- Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Trace Reconstruction: Generalized and Parameterized. - Ahmad Yaser Alhaddad, John-John Cabibihan, Ahmad Hayek, Andrea Bonarini:
Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts. - Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. - Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Foundation for Genuine Global Identities. - Vidyasagar Sadhu, Saman A. Zonouz, Vincent Sritapan, Dario Pompili:
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering. - Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong:
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. - Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System. - Seulki Lee, Bashima Islam, Yubo Luo, Shahriar Nirjon:
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System. - Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen:
Dynamic Past and Future for Neural Machine Translation. - Ugo Dal Lago, Thomas Leventis:
On the Taylor Expansion of Probabilistic λ-Terms (Long Version). - Ujjwal Gupta, Hritik Bansal, Deepak Joshi:
Gender specific and Age dependent classification model for improved diagnosis in Parkinson's disease. - Kaiming Shen, Hei Victor Cheng, Yonina C. Eldar, Wei Yu:
Coordinated Nonorthogonal Pilot Design for Massive MIMO. - Maruthi Rohit Ayyagari:
Integrating Association Rules with Decision Trees in Object-Relational Databases. - Satyasaran Changdar, Snehangshu Bhattacharjee:
Solution of Definite Integrals using Functional Link Artificial Neural Networks. - Yichun Shi, Anil K. Jain, Nathan D. Kalka:
Probabilistic Face Embeddings. - Alessandro Dal Palù:
An image structure model for exact edge detection. - Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas:
Deep Hough Voting for 3D Object Detection in Point Clouds. - Benjamin Moseley:
Scheduling to Approximate Minimization Objectives on Identical Machines. - Rami Al-Rfou, Dustin Zelle, Bryan Perozzi:
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels. - Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi:
BERTScore: Evaluating Text Generation with BERT. - Ehsaneddin Asgari, Fabienne Braune, Christoph Ringlstetter, Mohammad R. K. Mofrad:
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages. - Kai Sun, Dian Yu, Dong Yu, Claire Cardie:
Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension. - Jovan Nikolic, Evangelos Pournaras:
Structural Self-adaptation for Decentralized Pervasive Intelligence. - Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych:
Robust Argument Unit Recognition and Classification. - William Kuszmaul:
Dynamic Time Warping in Strongly Subquadratic Time: Algorithms for the Low-Distance Regime and Approximate Evaluation. - Wesam Al Amiri, Mohamed Baza, Karim Banawan, Mohamed Mahmoud, Waleed Alasmary, Kemal Akkaya:
Privacy-Preserving Smart Parking System Using Blockchain and Private Information Retrieval. - Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling, Zhan Shi, Quan Liu, Si Wei:
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge. - Jake Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio:
Compositional generalization in a deep seq2seq model by separating syntax and semantics. - Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen:
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. - Pan Peng:
Robust Clustering Oracle and Local Reconstructor of Cluster Structure of Graphs. - Meng Huang, Zhiqiang Xu:
The estimation performance of nonlinear least squares for phase retrieval. - Jurek Czyzowicz, Konstantinos Georgiou, Ryan Killick, Evangelos Kranakis, Danny Krizanc, Manuel Lafond, Lata Narayanan, Jaroslav Opatrny, Sunil M. Shende:
Energy Consumption of Group Search on a Line. - Arindam Mitra, Ishan Shrivastava, Chitta Baral:
Understanding Roles and Entities: Datasets and Models for Natural Language Inference. - Hsin-I Chen, Sebastian Agethen, Chia-Min Wu, Winston H. Hsu, Bing-Yu Chen:
FishNet: A Camera Localizer using Deep Recurrent Networks. - Onur Mutlu, Jeremie S. Kim:
RowHammer: A Retrospective. - Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi:
SocialIQA: Commonsense Reasoning about Social Interactions. - Youngwan Lee, Joong-won Hwang, Sangrok Lee, Yuseok Bae, Jongyoul Park:
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection. - Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
On Hybrid MoSK-CSK Modulation based Molecular Communication: Error Rate Performance Analysis using Stochastic Geometry. - Yongpei Zhu, Hongwei Fan, Kehong Yuan:
Facial Expression Recognition Research Based on Deep Learning. - Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo:
Switchable Whitening for Deep Representation Learning. - V. B. Aswin, Mohammed Javed, Parag Parihar, K. Aswanth, C. R. Druval, Anpam Dagar, C. V. Aravinda:
NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization Technique. - Mengdan Feng, Sixing Hu, Marcelo H. Ang, Gim Hee Lee:
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud. - Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou:
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. - Nikita Kitaev, Dan Klein:
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference. - Jian Zhang, Jun Yu, Dacheng Tao:
Local Deep-Feature Alignment for Unsupervised Dimension Reduction. - Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. - Yuxiang Wu, Zehua Cheng, Bin Huang, Yiming Chen, Kele Xu, Weiyang Wang:
FoxNet: A Multi-face Alignment Method. - Seungjun Jung, Muhammad Abul Hasan, Changick Kim:
Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal. - Jiahui Huang, Kshitij Dwivedi, Gemma Roig:
Deep Anchored Convolutional Neural Networks. - Pradeep Rengaswamy, Gurunath Reddy M., Krothapalli Sreenivasa Rao:
hf0: A hybrid pitch extraction method for multimodal voice. - Chen Qian, Lijie Wen, Akhil Kumar:
BePT: A Process Translator for Sharing Process Models. - Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi:
Training generative networks using random discriminators. - Arun Kumar Singh, Andrei Ahonen, Reza Ghabcheloo, Andreas Müller:
Inducing Multi-Convexity in Path Constrained Trajectory Optimization for Mobile Manipulators. - Wei Yi, Yaoran Sun, Tao Ding, Sailing He:
Detecting retail products in situ using CNN without human effort labeling. - Shun Watanabe, Te Sun Han:
Interval Algorithm for Random Number Generation: Information Spectrum Approach. - Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks. - Wenxiao Zhang, Chunxia Xiao:
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval. - Roman V. Plotnikov, Adil I. Erzin, Vyacheslav V. Zalyubovskiy:
GLS and VNS Based Heuristics for Conflict-Free Minimum-Latency Aggregation Scheduling in WSN. - Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu:
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness. - Qi Shao, Man Hon Cheung, Jianwei Huang:
Multimedia Crowdsourcing with Bounded Rationality: A Cognitive Hierarchy Perspective. - Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Machine Learning Based Analysis of Finnish World War II Photographers. - Hao Tong, Jialin Liu, Xin Yao:
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms. - Ganapati Bhat, Suat Gumussoy, Ümit Y. Ogras:
Power and Thermal Analysis of Commercial Mobile Platforms: Experiments and Case Studies. - Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. - Artur Andrzejak, Oliver Wenz, Diego Costa:
One DSL to Rule Them All: IDE-Assisted Code Generation for Agile Data Analysis. - Lucas Gren:
On Gender, Ethnicity, and Culture in Empirical Software Engineering Research. - Abdul Salam Shah, Haidawati Nasir, Muhammad Fayaz, Adidah Lajis, Asadullah Shah:
A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments. - Yingchao Feng, Wenhui Diao, Zhonghan Chang, Menglong Yan, Xian Sun, Xin Gao:
Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module. - Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia:
Judging Chemical Reaction Practicality From Positive Sample only Learning. - Victor Valls, George Iosifidis, Theodoros Salonidis:
Maximum Lifetime Analytics in IoT Networks. - Alex Churchill, Stella Biderman, Austin Herrick:
Magic: The Gathering is Turing Complete. - Riccardo Franco:
First steps to a constructor theory of cognition. - Tamara Radivilova, Lyudmyla Kirichenko, Igor Ivanisenko:
Calculation of distributed system imbalance in condition of multifractal load. - Md Mahmudul Hassan, Dizuo Jiang, A. M. M. Sharif Ullah, Md. Noor-E-Alam:
Resilient Supplier Selection in Logistic 4.0: An integrated approach of Fuzzy Multi-Attribute Decision Making (F-MADM) and Multi-choice Goal Programming (MCGP) with Heterogeneous. - Adnan I. Yaqzan, Issam W. Damaj, Rached N. Zantout:
GPS-Based Vehicle Tracking System-on-Chip. - Tarun Chitra, Uthsav Chitra:
Committee Selection is More Similar Than You Think: Evidence from Avalanche and Stellar. - Cameron Musco, Christopher Musco, David P. Woodruff:
Low-Rank Approximation from Communication Complexity. - Varun Jain, Gaurav Garg, Ramakrishna Perla, Ramya Hebbalaguppe:
GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts. - Mohannad Babli, Eva Onaindia:
A context-aware knowledge acquisition for planning applications using ontologies. - Georgios S. Paschos, Apostolos Destounis, Luigi Vigneri, George Iosifidis:
Learning to Cache With No Regrets. - Mingnan Luo, Guihua Wen, Yang Hu, Dan Dai, Yingxue Xu:
Stochastic Region Pooling: Make Attention More Expressive. - Zhucun Xue, Nan Xue, Gui-Song Xia, Weiming Shen:
Learning to Calibrate Straight Lines for Fisheye Image Rectification. - Hlynur Davíð Hlynsson, Laurenz Wiskott:
Learning gradient-based ICA by neurally estimating mutual information. - Lukasz Czajka, Cynthia Kop:
Polymorphic Higher-order Termination. - Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz:
Learning Manipulation under Physics Constraints with Visual Perception. - Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. - Lina Yuan, Suzhi Bi, Xiaohui Lin, Hui Wang:
Optimizing Throughput Fairness of Cluster-based Cooperation in Underlay Cognitive WPCNs. - Brian Gaudet, Richard Linares, Roberto Furfaro:
Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning. - Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alexander M. Bronstein, Avi Mendelson:
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. - David Mestel, A. W. Roscoe:
Translating between models of concurrency. - Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Assessing Architectural Similarity in Populations of Deep Neural Networks. - Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman:
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. - Ahmed Fadhil, Yunlong Wang:
Health Behaviour Change Techniques in Diabetes Management Applications: A Systematic Review. - Li Zhu, Didier El Baz:
A programmable actuator for combined motion and connection and its application to modular robot. - Pradip Mainali, Carlton Shepherd:
Providing Confidential Cloud-based Fall Detection from Remote Sensor Data Using Multi-Party Computation. - Kees van Berkel, Tim Lyon:
Cut-free Calculi and Relational Semantics for Temporal STIT Logics. - Adam Van Etten:
City-scale Road Extraction from Satellite Imagery. - Alcardo Alex Barakabitze, Lingfen Sun, Is-Haka Mkwawa, Emmanuel C. Ifeachor:
A Novel QoE-Aware SDN-enabled, NFV-based Management Architecture for Future Multimedia Applications on 5G Systems. - Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu:
On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver. - Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le:
Attention Augmented Convolutional Networks. - Ksenia Bittner, Marco Körner, Peter Reinartz:
Late or Earlier Information Fusion from Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-cGAN. - Meera Hahn, Asim Kadav, James M. Rehg, Hans Peter Graf:
Tripping through time: Efficient Localization of Activities in Videos. - Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin:
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. - Naftaly Minsky, Chen Cong:
Scalable, Secure and Broad-Spectrum Enforcement of Contracts, Without Blockchains. - Sumegha Garg, Michael P. Kim, Omer Reingold:
Tracking and Improving Information in the Service of Fairness. - Fan Yang, Santiago Escobar, Catherine Meadows, José Meseguer:
Strand Spaces with Choice via a Process Algebra Semantics. - Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung:
Synaptic Partner Assignment Using Attentional Voxel Association Networks. - Kulin Shah, P. S. Sastry, Naresh Manwani:
PLUME: Polyhedral Learning Using Mixture of Experts. - Suvodeep Majumder, Joymallya Chakraborty, Amritanshu Agrawal, Tim Menzies:
Why Software Projects need Heroes (Lessons Learned from 1100+ Projects). - Nader H. Bshouty:
Almost Optimal Testers for Concise Representations. - Greg Anderson, Shankara Pailoor, Isil Dillig, Swarat Chaudhuri:
Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness. - Brendan Badia, Randall Berry, Ermin Wei:
Investment in EV charging spots for parking. - Xuhang Ying, Joanna Mazer, Giuseppe Bernieri, Mauro Conti, Linda Bushnell, Radha Poovendran:
Detecting ADS-B Spoofing Attacks using Deep Neural Networks. - Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger:
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids. - Lucas Gren:
Using the agile adoption framework to assess agility and guide improvements. - Soonam Lee, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks. - Kyle Mott:
Estimating Forces of Robotic Pouring Using a LSTM RNN. - Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. - Moo-Ryong Ra, Hee Won Lee:
IOArbiter: Dynamic Provisioning of Backend Block Storage in the Cloud. - René Bødker Christensen, Olav Geil:
Steane-Enlargement of Quantum Codes from the Hermitian Curve. - Nicolas Bitar, Eric Goles, Pedro Montealegre:
Computational Complexity of Restricted Diffusion Limited Aggregation. - Kuangen Zhang, Ming Hao, Jing Wang, Clarence W. de Silva, Chenglong Fu:
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features. - Jake Goldenfein:
The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism. - Yongxing Wang, Peter K. Jimack, Mark A. Walkley:
A theoretical and experimental investigation of a family of immersed finite element methods. - Javed Iqbal, Muhammad Akhtar Munir, Arif Mahmood, Afsheen Rafaqat Ali, Mohsen Ali:
Orientation Aware Object Detection with Application to Firearms. - Chun-Liang Li, Tomas Simon, Jason M. Saragih, Barnabás Póczos, Yaser Sheikh:
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds. - Djallel Bouneffouf, Irina Rish:
A Survey on Practical Applications of Multi-Armed and Contextual Bandits. - Can Pu, Robert B. Fisher:
UDFNet: Unsupervised Disparity Fusion with Adversarial Networks. - Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal:
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. - Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate:
Distributed Differentially Private Computation of Functions with Correlated Noise. - Marcus M. Scheunemann, Sander G. van Dijk, Rebecca Miko, Daniel Barry, George M. Evans, Alessandra Rossi, Daniel Polani:
Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League). - Dahlia Malkhi, Kartik Nayak, Ling Ren:
Flexible Byzantine Fault Tolerance. - Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc V. Le, Jonathon Shlens:
Using Videos to Evaluate Image Model Robustness. - Xingran Chen, Shirin Saeedi Bidokhti:
Benefits of Coding on Age of Information in Broadcast Networks. - William H. Guss, Cayden R. Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang:
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. - Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks. - Lu Zhang, Steven Swanson:
Pangolin: A Fault-Tolerant Persistent Memory Programming Library. - Samuel-Hunter Berndt, Douglas Kirkpatrick, Timothy Taviano, Oleg Komogortsev:
Tertiary Eye Movement Classification by a Hybrid Algorithm. - Fernando Gama, Elvin Isufi, Alejandro Ribeiro, Geert Leus:
Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs. - Erwan Lecarpentier, Emmanuel Rachelson:
Non-Stationary Markov Decision Processes a Worst-Case Approach using Model-Based Reinforcement Learning. - Rui Wang, Nan Yang, Jörg Stückler, Daniel Cremers:
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. - Yue Yu, Jie Chen, Tian Gao, Mo Yu:
DAG-GNN: DAG Structure Learning with Graph Neural Networks. - Weifeng Liu, Dacheng Tao:
Multiview Hessian Regularization for Image Annotation. - Steffen Bondorf, Binbin Chen, Jonathan Scarlett, Haifeng Yu, Yuda Zhao:
Sublinear-Time Non-Adaptive Group Testing with O(k log n) Tests via Bit-Mixing Coding. - Pawel Parys:
Intersection Types for Unboundedness Problems. 7-27 - Federico Aschieri:
Natural Deduction and Normalization Proofs for the Intersection Type Discipline. 29-37 - Paola Giannini, Marco Servetto, Elena Zucca:
A Syntactic Model of Mutation and Aliasing. 39-55 - Olivier Laurent:
Intersection Subtyping with Constructors. 73-84 - Joseph Razavi, Andrea Schalk:
A Category Theoretic Interpretation of Gandy's Principles for Mechanisms. 85-92 - Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang:
Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure. - Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu:
Learning Actor Relation Graphs for Group Activity Recognition. - Doru-Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low:
A Flexible Framework for Parallel Multi-Dimensional DFTs. - Hubert Eichner, Tomer Koren, H. Brendan McMahan, Nathan Srebro, Kunal Talwar:
Semi-Cyclic Stochastic Gradient Descent. - Hunter Chase, James Freitag:
Bounds in Query Learning. - Prateeksha Varshney, Yogesh Simmhan:
Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources. - Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan:
Lung Nodule Classification using Deep Local-Global Networks. - Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang:
Siamese Attentional Keypoint Network for High Performance Visual Tracking. - John Brandt:
Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention. - Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb:
Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning. - Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, Mohit Sewak:
Android Malicious Application Classification Using Clustering. - Xiang Gao, Wei Hu, Zongming Guo:
Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data. - Yuankai Qi, Qi Wu, Peter Anderson, Marco Liu, Chunhua Shen, Anton van den Hengel:
RERERE: Remote Embodied Referring Expressions in Real indoor Environments. - Shing-Jiuan Liu, Ronald Y. Chang, Feng-Tsun Chien:
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization. - Lai Tian, Feiping Nie, Xuelong Li:
Learning Feature Sparse Principal Components. - Wing Hong Wong, Yifei Lou, Tieyong Zeng:
Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness. - Sasinee Pruekprasert, Xiaoyi Zhang, Jérémy Dubut, Chao Huang, Masako Kishida:
Decision Making for Autonomous Vehicles at Unsignalized Intersection in Presence of Malicious Vehicles. - Liyong Lin, Yuting Zhu, Rong Su:
Synthesis of Actuator Attackers for Free. - Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz:
Migration patterns under different scenarios of sea level rise. - Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou:
A Novel Multi-layer Framework for Tiny Obstacle Discovery. - Tobias Kahse:
Multi-Task Learning for Argumentation Mining. - Isra Mohamed Ali, Maurantonio Caprolu, Roberto Di Pietro:
Foundations, Properties, and Security Applications of Puzzles: A Survey. - Tao Li, Jinwen Ma:
Non-convex Penalty for Tensor Completion and Robust PCA. - Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. - Shaghayegh Najari, Mostafa Salehi, Vahid Ranjbar, Mahdi Jalili:
Link Prediction in Multiplex Networks based on Interlayer Similarity. - Tianyu Shi, Pin Wang, Xuxin Cheng, Ching-Yao Chan:
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning. - Yo-Sub Han, Hwee Kim, Yusei Masuda, Shinnosuke Seki:
A general architecture of oritatami systems for simulating arbitrary finite automata. - Songlin Xu, Jiacheng Zhu:
Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles. - Benjamin Sliwa, Christian Wietfeld:
Empirical Analysis of Client-based Network Quality Prediction in Vehicular Multi-MNO Networks. - Benjamin Sliwa, Christian Wietfeld:
Towards Data-driven Simulation of End-to-end Network Performance Indicators. - Karthik Nandakumar, Sebastien Blandin, Laura Wynter:
High-frequency crowd insights for public safety and congestion control. - Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld:
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction. - Hala Mulki, Hatem Haddad, Mourad Gridach, Ismail Babaoglu:
Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis. - Xunnian Yang, Jialin Hong:
Dynamic evaluation of exponential polynomial curves and surfaces via basis transformation. - Yuval Emek, Shay Kutten, Mordechai Shalom, Shmuel Zaks:
Hierarchical b-Matching. - Tianshi Wang, Leon Wu, Jaijeet Roychowdhury:
Late Breaking Results: New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines. - Chrystiano Araújo, Daniela Cabiddu, Marco Attene, Marco Livesu, Nicholas Vining, Alla Sheffer:
Surface2Volume: Surface Segmentation Conforming Assemblable Volumetric Partition. - Yuval Emek, Fanica Gavril, Shay Kutten, Mordechai Shalom, Shmuel Zaks:
Maximizing Communication Throughput in Tree Networks. - Woohwan Jung, Younghoon Kim, Kyuseok Shim:
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion. - Aurélien Cavelan, Rubén M. Cabezón, Florina M. Ciorba:
Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations. - Hatem A. Alharbi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Virtual Machine Services Placement in Cloud-Fog Architecture. - Filip Mazowiecki, Michal Pilipczuk:
Reachability for Bounded Branching VASS. - Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn:
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation. - Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii:
Statistical Learning and Estimation of Piano Fingering. - Anders Braarud Hanssen, Stefano Nichele:
Ethics of Artificial Intelligence Demarcations. - Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston H. Hsu:
Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN. - Elias Rohrer, Julian Malliaris, Florian Tschorsch:
Discharged Payment Channels: Quantifying the Lightning Network's Resilience to Topology-Based Attacks. - Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan:
End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets. - Luca Berardocco, Martin Kronbichler, Volker Gravemeier:
A hybridizable discontinuous Galerkin method for electromagnetics with a view on subsurface applications. - Hector Zenil:
Compression is Comprehension, and the Unreasonable Effectiveness of Digital Computation in the Natural World. - Anantha Padmanabha, R. Ramanujam:
Two variable fragment of Term Modal Logic. - Aleksander Lukashou:
Improving benchmarks for autonomous vehicles testing using synthetically generated images. - Zhe Zhang, Runsheng Wang, Cheng Chen, Qianqian Huang, Yangyuan Wang, Cheng Hu, Dehuang Wu, Joddy Wang, Ru Huang:
New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework. - Denis Ugarte, Davide Maiorca, Fabrizio Cara, Giorgio Giacinto:
PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware. - Zhaocheng Liu, Guangxue Yin:
CPM-sensitive AUC for CTR prediction. - Sainath Adapa:
Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction. - Xiaoshen Song, Thomas Kühne, Giuseppe Caire:
Fully-/Partially-Connected Hybrid Beamforming Architectures for mmWave MU-MIMO. - Róbert Csordás, Jürgen Schmidhuber:
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control. - Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embedding. - Abolghasem Daeichian, Elham Honarvar:
Modified Covariance Intersection for Data Fusion in Distributed Non-homogeneous Monitoring Systems Network. - Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-guided Network for Ghost-free High Dynamic Range Imaging. - Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao:
Wasserstein-Fisher-Rao Document Distance. - Yew Siang Tang, Gim Hee Lee:
Transferable Semi-supervised 3D Object Detection from RGB-D Data. - Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. - Masashi Yokozuka, Shuji Oishi, Simon Thompson, Atsuhiko Banno:
VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points. - Marzieh Gheisari, Teddy Furon, Laurent Amsaleg:
Privacy Preserving Group Membership Verification and Identification. - Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy:
Path-Restore: Learning Network Path Selection for Image Restoration. - Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. - Shashank Kotyan, Nishant Kumar, Pankaj Kumar Sahu, Venkanna Udutalapally:
Drishtikon: An advanced navigational aid system for visually impaired people. - Tomislav Sebrek, Jan Tomljanovic, Josip Krapac, Mile Sikic:
Read classification using semi-supervised deep learning. - Shashank Kotyan, Nishant Kumar, Pankaj Kumar Sahu, Venkanna Udutalapally:
HAUAR: Home Automation Using Action Recognition. - Moa Johansson, Marie Korneliusson, Nickey Lizbat Lawrence:
Identifying cross country skiing techniques using power meters in ski poles. - Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha:
Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks. - Moshe Eliasof, Andrei Sharf, Eran Treister:
Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods. - Feng Huang, Péter Balázs:
Harmonic-aligned Frame Mask Based on Non-stationary Gabor Transform with Application to Content-dependent Speaker Comparison. - Mario Gleirscher:
Risk Structures: Towards Engineering Risk-aware Autonomous Systems. - Cédric Bény:
Relevant feature extraction for statistical inference. - Johannes Partzsch, Christian Mayr, Massimiliano Giulioni, Marko Noack, Stefan Hänzsche, Stefan Scholze, Sebastian Höppner, Paolo Del Giudice, René Schüffny:
Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System. - Kostiantyn Khabarlak, Larysa Koriashkina:
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping. - Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram:
Efficient single input-output layer spiking neural classifier with time-varying weight model. - Kasra Safari, Scott Sanner:
Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach. - Jacques Carette, William M. Farmer, Michael Kohlhase, Florian Rabe:
Big Math and the One-Brain Barrier A Position Paper and Architecture Proposal. - Roman Sokolovskii, Fredrik Brännström, Alexandre Graell i Amat:
A Refined Scaling Law for Spatially Coupled LDPC Codes Over the Binary Erasure Channel. - Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao:
BIT: Biologically Inspired Tracker. - Danilo Gligoroski, Katina Kralevska:
Expanded Combinatorial Designs as Tool to Model Network Slicing in 5G. - Michael Kohlhase:
The Theorem Prover Museum - Conserving the System Heritage of Automated Reasoning. - Daniel Schmand, Marc Schröder, Alexander Skopalik:
Network Investment Game with Wardrop Followers. - Yue Yu, Yilun Zhu, Yang Liu, Yan Liu, Siyao Peng, Mackenzie Gong, Amir Zeldes:
GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection. - Shengcai Liao, Ling Shao:
Interpretable and Generalizable Deep Image Matching with Adaptive Convolutions. - Murad Murad, Ahmed M. Eltawil:
Power Consumption and Energy-Efficiency for In-Band Full-Duplex Wireless Systems. - Zoheb Abai, Nishad Rajmalwar:
DenseNet Models for Tiny ImageNet Classification. - Rahul-Vigneswaran K, Neethu Mohan, Soman K. P:
Data-driven Computing in Elasticity via Chebyshev Approximation. - Alejandro Lancho, Johan Östman, Giuseppe Durisi, Tobias Koch, Gonzalo Vazquez-Vilar:
Saddlepoint Approximations for Rayleigh Block-Fading Channels. - (Withdrawn) Age of Information for Updates with Distortion.
- Jason Chou, Gautam Hathi:
Generated Loss, Augmented Training, and Multiscale VAE. - Ankur Jain, Arohi Gupta, Ashutosh Gupta, Dewang Gedia, Leidy Pérez, Levi Perigo, Rahil Gandotra, Sanjay Murthy:
Trend-Based Networking Driven by Big Data Telemetry for SDN and Traditional Networks. - Lijiang Guo:
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion. - Daniel Wiebking:
Normalizers and permutational isomorphisms in simply-exponential time. - Francesco Torsello:
bimEX: A Mathematica package for exact computations in 3+1 bimetric relativity. - Julian Dörfler, Marc Roth, Johannes Schmitt, Philip Wellnitz:
Counting Induced Subgraphs: An Algebraic Approach to #W[1]-hardness. - Jingpeng Wu, William M. Silversmith, H. Sebastian Seung:
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets. - Jin-Yi Cai, Tianyu Liu:
Counting perfect matchings and the eight-vertex model. - Luca Manzoni, Luca Mariot, Eva Tuba:
Balanced Crossover Operators in Genetic Algorithms. - Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. - Cihan Dogan, Aimore Dutra, Adam Gara, Alfredo Gemma, Lei Shi, Michael Sigamani, Ella Walters:
Fine-Grained Named Entity Recognition using ELMo and Wikidata. - Li Chen:
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions. - Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang:
Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation. - Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever:
Generating Long Sequences with Sparse Transformers. - Theodore Vasiloudis, Hyunsu Cho, Henrik Boström:
Block-distributed Gradient Boosted Trees. - (Withdrawn) The Ex-Ante View of Recommender System Design.
- Arjun Pakrashi, Brian Mac Namee:
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification. - Arjun Pakrashi, Brian Mac Namee:
KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification. - Philippe Casgrain, Brian Ning, Sebastian Jaimungal:
Deep Q-Learning for Nash Equilibria: Nash-DQN. - Arman Roohi, Ronald F. DeMara:
IRC: Cross-layer design exploration of Intermittent Robust Computation units for IoTs. - Jesse Michael Han, Floris van Doorn:
A formalization of forcing and the unprovability of the continuum hypothesis. - Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel:
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning. - Hasan Manzour, Simge Küçükyavuz, Ali Shojaie:
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data. - Maho Asada, Masatoshi Yoshikawa, Yang Cao:
When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy. - Sree Hari Krishnan Parthasarathi, Nitin Sivakrishnan, Pranav Ladkat, Nikko Strom:
Realizing Petabyte Scale Acoustic Modeling. - Rongfei Fan, Fudong Li, Song Jin, Gongpu Wang, Hai Jiang, Shaohua Wu:
Energy-Efficient Mobile-Edge Computation Offloading over Multiple Fading Blocks. - Qi Gu, Gongpu Wang, Rongfei Fan, Ning Zhang, Zhangdui Zhong:
Throughput Maximization in Two-hop DF Multiple-Relay Network with Simultaneous Wireless Information and Power Transfer. - Tran Phuong Thao, Yukiko Sawaya, Hoang-Quoc Nguyen-Son, Akira Yamada, Ayumu Kubota:
Peek-a-boo, I Can See You, Forger: Influences of Human Demographics, Brand Familiarity and Security Backgrounds on Homograph Recognition. - Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li:
Neural Collaborative Subspace Clustering. - Ruisheng Diao, Zhiwei Wang, Di Shi, Qianyun Chang, Jiajun Duan, Xiaohu Zhang:
Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning. - Jeremy Martin, Douglas Alpuche, Kristina Bodeman, Lamont Brown, Ellis Fenske, Lucas Foppe, Travis Mayberry, Erik C. Rye, Brandon Sipes, Sam Teplov:
Handoff All Your Privacy: A Review of Apple's Bluetooth Low Energy Implementation. - Xuetong Niu, Li Wang, Xulei Yang:
A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised. - Yosuke Fukuda, Akira Yoshimizu:
A Linear-logical Reconstruction of Intuitionistic Modal Logic S4. - Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa:
Blockchain-based Bidirectional Updates on Fine-grained Medical Data. - Justin Chan, Anran Wang, Arvind Krishnamurthy, Shyamnath Gollakota:
DeepSense: Enabling Carrier Sense in Low-Power Wide Area Networks Using Deep Learning. - Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya:
Condition-Transforming Variational AutoEncoder for Conversation Response Generation. - David Sprunger, Bart Jacobs:
The differential calculus of causal functions. - Wei-Na Li, Zhengyun Zhang, Jianshe Ma, Xiaohao Wang, Ping Su:
Unfocused images removal of z-axis overlapping Mie scattering particles by using three-dimensional nonlinear diffusion based on digital holography. - Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Understanding Art through Multi-Modal Retrieval in Paintings. - Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin:
Design Automation for Efficient Deep Learning Computing. - Hongzhu Li, Weiqiang Wang:
A Novel Re-weighting Method for Connectionist Temporal Classification. - Yunsheng Li, Lu Yuan, Nuno Vasconcelos:
Bidirectional Learning for Domain Adaptation of Semantic Segmentation. - Rohit Voleti, Stephanie Woolridge, Julie M. Liss, Melissa Milanovic, Christopher R. Bowie, Visar Berisha:
Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder. - Dennis Giese, Kevin Liu, Michael Sun, Tahin Syed, Linda Zhang:
Security Analysis of Near-Field Communication (NFC) Payments. - Hao Sun, Xianxu Zeng, Tao Xu, Gang Peng, Yutao Ma:
Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms. - Benjamin Zi Hao Zhao, Muhammad Ikram, Hassan Jameel Asghar, Mohamed Ali Kâafar, Abdelberi Chaabane, Kanchana Thilakarathna:
A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists. - Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré:
Low-Memory Neural Network Training: A Technical Report. - Nikolaj Tatti:
Maximum Entropy Based Significance of Itemsets. - (Withdrawn) LFFD: A Light and Fast Face Detector for Edge Devices.
- Sarik Ghazarian, Johnny Tian-Zheng Wei, Aram Galstyan, Nanyun Peng:
Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings. - Shuailong Liang, Olivia Nicol, Yue Zhang:
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks. - Yu Yu, Gang Liu, Jean-Marc Odobez:
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis. - Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto:
Detecting Machine-Translated Paragraphs by Matching Similar Words. - Kai-Chun Hu, Chen-Huan Pi, Ting-Han Wei, I-Chen Wu, Stone Cheng, Yi-Wei Dai, Wei-Yuan Ye:
Towards Combining On-Off-Policy Methods for Real-World Applications. - Yu Chen, Tom Diethe, Neil Lawrence:
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients. - Norbert Deak, Octavian Cret, Horia Hedesiu:
Efficient FPGA Floorplanning for Partial Reconfiguration-Based Applications. - (Withdrawn) Stochastic Lipschitz Q-Learning.
- Xuan Zhu, Yue Cheng, Rongzhi Wang:
Super-resolution based generative adversarial network using visual perceptual loss function. - Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover:
Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries. - Hsu-Kuang Chiu, Ehsan Adeli, Juan Carlos Niebles:
Segmenting the Future. - Xuelong Li, Bin Zhao, Xiaoqiang Lu:
A General Framework for Edited Video and Raw Video Summarization. - Christos Liaskos, Ageliki Tsioliaridou, Alexandros Pitilakis, George Pirialakos, Odysseas Tsilipakos, Anna C. Tasolamprou, Nikolaos V. Kantartzis, Sotiris Ioannidis, Maria Kafesaki, Andreas Pitsillides, Ian F. Akyildiz:
Joint Compressed Sensing and Manipulation of Wireless Emissions with Intelligent Surfaces. - Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre:
Deep Learning for Classification of Hyperspectral Data: A Comparative Review. - Christos Liaskos, Ageliki Tsioliaridou, Sotiris Ioannidis:
Organizing Network Management Logic with Circular Economy Principles. - Konstantinos Drossos, Paul Magron, Tuomas Virtanen:
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification. - Vincent Cohen-Addad, Marcin Pilipczuk, Michal Pilipczuk:
A Polynomial-Time Approximation Scheme for Facility Location on Planar Graphs. - Yanli Ji, Feixiang Xu, Yang Yang, Fumin Shen, Heng Tao Shen, Wei-Shi Zheng:
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition. - Peng Xu, Zhaohong Deng, Chen Cui, Te Zhang, Kup-Sze Choi, Suhang Gu, Jun Wang, Shitong Wang:
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning. - Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan:
Layer Dynamics of Linearised Neural Nets. - Girma M. Yilma, Faqir Zarrar Yousaf, Vincenzo Sciancalepore, Xavier Costa-Pérez:
On the Challenges and KPIs for Benchmarking Open-Source NFV MANO Systems: OSM vs ONAP. - Shangqi Gao, Xiahai Zhuang:
Multi-scale deep neural networks for real image super-resolution. - Abhishek Dutta, Andrew Zisserman:
The VGG Image Annotator (VIA). - Ran Duan, Ce Jin, Hongxun Wu:
Faster Algorithms for All Pairs Non-decreasing Paths Problem. - Jean Goubault-Larrecq, Simon Halfon, Prateek Karandikar, K. Narayan Kumar, Philippe Schnoebelen:
The Ideal Approach to Computing Closed Subsets in Well-Quasi-Ordering. - Kristian Hinnenthal, Christian Scheideler, Martijn Struijs:
Fast Distributed Algorithms for LP-Type Problems of Bounded Dimension. - Bin Zhao, Xuelong Li, Xiaoqiang Lu, Zhigang Wang:
A CNN-RNN Architecture for Multi-Label Weather Recognition. - Mohamed Hamroun, Mohamed Salim Bouhlel:
Système d'indexation et de recherche de vidéo intégrant un système gestuel pour les personnes handicapées. - Emmanuel Pignat, Sylvain Calinon:
Bayesian Gaussian mixture model for robotic policy imitation. - James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal:
Generating Token-Level Explanations for Natural Language Inference. - Mehul Kumar, Amit Kumar, C. Pandu Rangan:
Reoptimization of Path Vertex Cover Problem. - Lukas Simon Laufenberg:
Impersonating LoRaWAN gateways using Semtech Packet Forwarder. - Zhengyao Jiang, Shan Luo:
Neural Logic Reinforcement Learning. - Jiyu Chen, Karin Verspoor, Zenan Zhai:
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data. - Kaito Fujii, Shinsaku Sakaue:
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio. - Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. - Michelle Guo, Albert Haque, Prateek Verma:
End-to-End Spoken Language Translation. - Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang:
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach. - Linsen Dong, Guanyu Gao, Yuanlong Li, Yonggang Wen:
Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning. - Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
CED: Color Event Camera Dataset. - Abhishek Gupta, Gaurav Tendolkar, Hao Chen, Jianzong Pi:
Some Limit Properties of Markov Chains Induced by Stochastic Recursive Algorithms. - Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. - David Rohde, Stephen Bonner:
Latent Variable Session-Based Recommendation. - Milan Ceska, Vojtech Havlena, Lukás Holík, Jan Korenek, Ondrej Lengál, Denis Matousek, Jirí Matousek, Jakub Semric, Tomás Vojnar:
Deep Packet Inspection in FPGAs via Approximate Nondeterministic Automata. - Janez Krizaj, Peter Peer, Vitomir Struc, Simon Dobrisek:
Simultaneous regression and feature learning for facial landmarking. - Gabriella Akemi Miyamoto, Marcelo Firer:
Obtaining binary perfect codes out of tilings. - Zeqing Fu, Wei Hu, Zongming Guo:
Graph-based Inpainting for 3D Dynamic Point Clouds. - Dmytro Mykhaylov, David Rohde, Flavian Vasile:
Three Methods for Training on Bandit Feedback. - Giulio Guerrieri:
Towards a Semantic Measure of the Execution Time in Call-by-Value lambda-Calculus. 57-72 - Salvatore D'Oro, Marcelo Antonio Marotta, Cristiano Bonato Both, Luiz A. DaSilva, Sergio Palazzo:
Power-Efficient Resource Allocation in C-RANs with SINR Constraints and Deadlines. - Lucas Faria Porto, Laise Nascimento Correia Lima, Marta Flores, Andrea Valsecchi, Óscar Ibáñez, Carlos Eduardo Machado Palhares, Flavio de Barros Vidal:
Automatic cephalometric landmarks detection on frontal faces: an approach based on supervised learning techniques. - Lisa Beinborn, Rochelle Choenni:
Semantic Drift in Multilingual Representations. - Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze:
Learning Bodily and Temporal Attention in Protective Movement Behavior Detection. - Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas:
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning. - Vittorio Lippi, Fabio Molinari, Thomas Seel:
Distributed Bio-inspired Humanoid Posture Control. - Jurek Czyzowicz, Dariusz Dereniowski, Andrzej Pelc:
Building a Nest by an Automaton. - Shuming Jiao, Xiang Li, Zibang Zhang, Yang Gao, Ting Lei, Zhenwei Xie, Xiaocong Yuan:
Optical machine learning with incoherent light and a single-pixel detector. - B. N. Bharath, Kyatsandra G. Nagananda:
Secure Communication in Dynamic Wireless Ad hoc Networks. - Artjom Zern, Matthias Zisler, Stefania Petra, Christoph Schnörr:
Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. - Zhaoji Zhang, Ying Li, Lei Liu, Wei Hou:
Fixed-Symbol Aided Random Access Scheme for Machine-to-Machine Communications. - Valerio Lorini, Carlos Castillo, Francesco Dottori, Milan Kalas, Domenico Nappo, Peter Salamon:
Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach. - Chuan-Chi Lai, Chun-Ting Chen, Li-Chun Wang:
On-Demand Density-Aware UAV Base Station 3D Placement for Arbitrarily Distributed Users with Guaranteed Data Rates. - Xiongwei Wu, Qiang Li, Xiuhua Li, Victor C. M. Leung, P. C. Ching:
Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks. - Martino Borello, Wolfgang Willems:
Group codes over fields are asymptotically good. - Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum:
Listening between the Lines: Learning Personal Attributes from Conversations. - Chuan-Chi Lai, Zulhaydar Fairozal Akbar, Chuan-Ming Liu, Van-Dai Ta, Li-Chun Wang:
Distributed Continuous Range-Skyline Query Monitoring over the Internet of Mobile Things. - Michele Claus, Jan van Gemert:
ViDeNN: Deep Blind Video Denoising. - Walid Belkhir, Nicolas Ratier, Duy Duc Nguyen, Michel Lenczner:
Unification and combination of iterative insertion strategies with rudimentary traversals and failure. - Rahul Chandan, Dario Paccagnan, Jason R. Marden:
When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy. - Dong Wang, Xiao-Ping Wang:
The iterative convolution-thresholding method (ICTM) for image segmentation. - Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe:
Differentiable Pruning Method for Neural Networks. - Jessica Zosa Forde, Michela Paganini:
The Scientific Method in the Science of Machine Learning. - Malte Schilling:
Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator. - Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich:
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce. - Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun:
Prediction of Progression to Alzheimer's disease with Deep InfoMax. - Mikel Malagon, Josu Ceberio:
Evolving Neural Networks in Reinforcement Learning by means of UMDAc. - Jason Chou:
Generated Loss and Augmented Training of MNIST VAE. - Maria Bauzá, Oleguer Canal, Alberto Rodriguez:
Tactile Mapping and Localization from High-Resolution Tactile Imprints. - Donghwan Lee, Niao He:
Target-Based Temporal Difference Learning. - Ankita Pasad, Bowen Shi, Herman Kamper, Karen Livescu:
On the Contributions of Visual and Textual Supervision in Low-resource Semantic Speech Retrieval. - Yiming Sun, Yang Guo, Charlene Luo, Joel A. Tropp, Madeleine Udell:
Low-Rank Tucker Approximation of a Tensor From Streaming Data. - Chien Cheng Chien, Yuma Kinoshita, Hitoshi Kiya:
A Noise-aware Enhancement Method for Underexposed Images. - Frederik Mallmann-Trenn, Yannic Maus, Dominik Pajak:
Noidy Conmunixatipn: On the Convergence of the Averaging Population Protocol. - Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich:
A Robust Approach for Securing Audio Classification Against Adversarial Attacks. - Zheng Ma, Ming Li, Yu Guang Wang:
PAN: Path Integral Based Convolution for Deep Graph Neural Networks. - Nicholas Ruiz, Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico:
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors. - Modar Alfadly, Adel Bibi, Bernard Ghanem:
Analytical Moment Regularizer for Gaussian Robust Networks. - Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim, Prashant Tiwari, Inki Kim, Lu Feng:
A Case Study of Trust on Autonomous Driving. - Arash Kalatian, Bilal Farooq:
DeepSurvival: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis. - MohammadReza Davari, Leila Kosseim, Tien D. Bui:
Toponym Identification in Epidemiology Articles - A Deep Learning Approach. - Xuechuan Wang, Qiuyi Xu, Satya N. Atluri:
A Simple Local Variational Iteration Method and Related Algorithm for Nonlinear Science and Engineering. - Nicholas Ruiz, Marcello Federico:
Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation. - Boris Aronov, Omrit Filtser, Michael Horton, Matthew J. Katz, Khadijeh Sheikhan:
Efficient Nearest-Neighbor Query and Clustering of Planar Curves. - Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang, Duan-Shin Lee, Ping-En Lu:
Generalized Modularity Embedding: a General Framework for Network Embedding. - Mahmoud Alageli, Aïssa Ikhlef, Fahad Alsifiany, Mohammed A. M. Abdullah, Gaojie Chen, Jonathon A. Chambers:
Optimal Downlink Transmission for Cell Free SWIPT Massive MIMO Systems with Active Eavesdropping. - Gabriella Akemi Miyamoto:
Equivalence classes of small tilings of the Hamming cube. - Frank Duque, Ruy Fabila Monroy, César Hernández-Vélez, Carlos Hidalgo-Toscano:
Counting the Number of Crossings in Geometric Graphs. - Honglong Cai, Zhiguan Wang, Jinxing Cheng:
Multi-Scale Body-Part Mask Guided Attention for Person Re-identification. - Rey Reza Wiyatno, Anqi Xu:
Physical Adversarial Textures that Fool Visual Object Tracking. - Krishna Regmi, Mubarak Shah:
Bridging the Domain Gap for Ground-to-Aerial Image Matching. - Benjamin Edwards, Jay Jacobs, Stephanie Forrest:
Risky Business: Assessing Security with External Measurements. - Matthew England, Dorian Florescu:
Comparing machine learning models to choose the variable ordering for cylindrical algebraic decomposition. - Dwarak Govind Parthiban:
Examination of tools for managing different dimensions of Technical Debt. - Aitor Arronte Alvarez, Francisco Gómez-Martin:
An Attentional Neural Network Architecture for Folk Song Classification. - Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning. - Victor Flavio de Andrade Araujo, Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa:
How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version). - Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen:
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. - Mahdi Abavisani, Vishal M. Patel:
Deep Sparse Representation-based Classification. - Mariem Ben Fadhel, Kofi Nyarko:
GAN Augmented Text Anomaly Detection with Sequences of Deep Statistics. - Minsu Cho, Chinmay Hegde:
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity. - Daniel Huang:
On Learning to Prove. - Taylor J. Smith, Kai Salomaa:
Decision Problems for Restricted Variants of Two-Dimensional Automata. - Mayur J. Bency, Ahmed Hussain Qureshi, Michael C. Yip:
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation. - Jacob Reher, Wen-Loong Ma, Aaron D. Ames:
Dynamic Walking with Compliance on a Cassie Bipedal Robot. - Ahmad Alsharif, Ahmad Shafee, Mahmoud Nabil, Mohamed Mahmoud, Waleed S. Alasmary:
A Multi-Authority Attribute-Based Signcryption Scheme with Efficient Revocation for Smart Grid Downlink Communication. - Md. Solimul Chowdhury, Martin Müller, Jia-Huai You:
Characterization of Glue Variables in CDCL SAT Solving. - Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. - Chaoyang Wang, Simon Lucey, Federico Perazzi, Oliver Wang:
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. - Daniel Lopez Martinez, Patrick Eschenfeldt, Sassan Ostvar, Myles Ingram, Chin Hur, Rosalind W. Picard:
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks. - Zahra Montazeri, Chang Xiao, Yun (Raymond) Fei, Changxi Zheng, Shuang Zhao:
Mechanics-Aware Modeling of Cloth Appearance. - Bustomi, Aditya Purwa Santika, Djoko Suprijanto:
Linear codes over the ring Z4 + uZ4 + vZ4 + wZ4 + uvZ4 + uwZ4 + vwZ4 + uvwZ4. - Konstantinos Sotiropoulos, John W. Byers, Polyvios Pratikakis, Charalampos E. Tsourakakis:
TwitterMancer: Predicting Interactions on Twitter Accurately. - Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao:
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning. - Md. Zahangir Alom, Theus H. Aspiras, Tarek M. Taha, Vijayan K. Asari:
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks. - Yunxiang Zhao, Jianzhong Qi, Rui Zhang:
CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. - (Withdrawn) Lipschitz Bandit Optimization with Improved Efficiency.
- Michael Mampaey, Jilles Vreeken, Nikolaj Tatti:
Summarizing Data Succinctly with the Most Informative Itemsets. - Imil Hamda Imran, Zhiyong Chen, Lijun Zhu, Minyue Fu:
A Distributed Adaptive Scheme for Multi-Agent Systems. - Xiaobin Li, Weiqiang Wang:
Learning Discriminative Features Via Weights-biased Softmax Loss. - Ya-Li Li, Shengjin Wang:
HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection. - S. R. Siva Prasad Kochi, M. Ramakrishna:
A compact subcell WENO limiting strategy using immediate neighbors for Runge-Kutta Discontinuous Galerkin Methods. - Yuzhou Liu, DeLiang Wang:
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation. - Shan Li, Weihong Deng:
A Deeper Look at Facial Expression Dataset Bias. - Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao:
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers. - Kuangen Zhang, Wen Zhang, Wentao Xiao, Haiyuan Liu, Clarence W. de Silva, Chenglong Fu:
Sequential Decision Fusion for Environmental Classification in Assistive Walking. - Rohit Jena:
Out of the Box: A combined approach for handling occlusion in Human Pose Estimation. - Ravi Kumar Thakur, Snehasis Mukherjee:
A Conditional Adversarial Network for Scene Flow Estimation. - Peter Pickerill, Heiko Joshua Jungen, Miroslaw Ochodek, Miroslaw Staron:
PHANTOM: Curating GitHub for engineered software projects using time-series clustering. - Meng Wu, Chao Wang:
Abstract Interpretation under Speculative Execution. - Li Wang, Lei Zhu, En Yu, Jiande Sun, Huaxiang Zhang:
Fusion-supervised Deep Cross-modal Hashing. - Arindam Saha, Soumyadip Maity, Brojeshwar Bhowmick:
Indoor dense depth map at drone hovering. - Neri Merhav:
Weak-Noise Modulation-Estimation of Vector Parameters. - Farhan M. Aziz, Lichun Li, Jeff S. Shamma, Gordon L. Stüber:
Smart Jammer and LTE Network Strategies in An Infinite-Horizon Zero-Sum Repeated Game with Asymmetric and Incomplete Information. - Parth Shah, Vishvajit Bakrola, Supriya Pati:
Optimal Approach for Image Recognition using Deep Convolutional Architecture. - Shan Shen, Tianxiang Shao, Xiaojing Shang, Yichen Guo, Ming Ling, Jun Yang, Longxing Shi:
TS Cache: A Fast Cache with Timing-speculation Mechanism Under Low Supply Voltages. - Hongzhi Wang, Ning Li, Zheng Wang, Jianing Li:
GPU-based Efficient Join Algorithms on Hadoop. - Imen Chakroun, Tom Vander Aa, Tom Ashby:
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. - Lei Zhu, Zi Huang, Zhihui Li, Liang Xie, Heng Tao Shen:
Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval. - Matteo Manica, Ali Oskooei, Jannis Born, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez:
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders. - Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei:
Transferrable Prototypical Networks for Unsupervised Domain Adaptation. - Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. - Kilian Verhetsel, Jeanne Pellerin, Jean-François Remacle:
Finding Hexahedrizations for Small Quadrangulations of the Sphere. - Mark A. Greenwood, Mehmet E. Bakir, Genevieve Gorrell, Xingyi Song, Ian Roberts, Kalina Bontcheva:
Online Abuse of UK MPs from 2015 to 2019: Working Paper. - Mathieu Riou, Flavio Abreu Araujo, Jacob Torrejon, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Vincent Cros, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles, Julie Grollier:
Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator. - Eric Arazo Sanchez, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised label noise modeling and loss correction. - Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Fernando Perez-Peña, Alejandro Linares-Barranco:
NeuroPod: a real-time neuromorphic spiking CPG applied to robotics. - Falko Hegerfeld, Stefan Kratsch:
On adaptive algorithms for maximum matching. - Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao:
Exploring Object Relation in Mean Teacher for Cross-Domain Detection. - Claudio Altafini:
A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics. - Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei:
Pointing Novel Objects in Image Captioning. - David A. Kelly, Mark Marron, David Clark, Earl T. Barr:
SafeStrings: Representing Strings as Structured Data. - Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. - Michael Hopkins, Mantas Mikaitis, Dave R. Lester, Steve B. Furber:
Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ODEs. - Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu:
Discrete Optimal Graph Clustering. - Iván Prada, Francisco D. Igual, Katzalin Olcoz:
Detecting time-fragmented cache attacks against AES using Performance Monitoring Counters. - Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang:
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup. - Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio:
Reducing Anomaly Detection in Images to Detection in Noise. - Korian Edeline, Justin Iurman, Cyril Soldani, Benoit Donnet:
mmb: Flexible High-Speed Userspace Middleboxes. - Apostolos Destounis, Georgios S. Paschos:
Complexity of URLLC Scheduling and Efficient Approximation Schemes. - Zeinab Nehai, François Bobot:
Deductive Proof of Ethereum Smart Contracts Using Why3. - Jesper Nederlof:
Detecting and Counting Small Patterns in Planar Graphs in Subexponential Parameterized Time. - Jules Hedges:
The game semantics of game theory. - Licia Amichi, Megumi Kaneko, Ellen Hidemi Fukuda, Nancy El Rachkidy, Alexandre Guitton:
Joint Allocation Strategies of Power and Spreading Factors with Imperfect Orthogonality in LoRa Networks. - Kenji Miyamoto, Georg Moser:
The Epsilon Calculus with Equality and Herbrand Complexity. - Zhidong Zhu, Mingyi He, Yuchao Dai, Zhibo Rao, Bo Li:
Multi-scale Cross-form Pyramid Network for Stereo Matching. - Quan Yu, Jing Ren, Yinjin Fu, Ying Li, Wei Zhang:
Cybertwin: An Origin of Next Generation Network Architecture. - Hiroyuki Kobayashi, Hitoshi Kiya:
JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding. - Wei Shen, Zhenhuan Yang, Yiming Ying, Xiaoming Yuan:
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning. - Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias:
Unsupervised deep learning for Bayesian brain MRI segmentation. - Zhihao Fang, Wanyi Zhang, He Ma:
Breast Cancer Classification with Ultrasound Images Based on SLIC. - Vitaly Aksenov, Dan Alistarh, Petr Kuznetsov:
Performance Prediction for Coarse-Grained Locking. - Kumar Kshitij Patel, Aymeric Dieuleveut:
Communication trade-offs for synchronized distributed SGD with large step size. - François Michel, Quentin De Coninck, Olivier Bonaventure:
QUIC-FEC: Bringing the benefits of Forward Erasure Correction to QUIC. - Saverio Giallorenzo, Fabrizio Montesi, Larisa Safina, Stefano Pio Zingaro:
Ephemeral Data Handling in Microservices - Technical Report. - Kalpana Mahalingam, Palak Pandoh:
Palindromes in two-dimensional Words. - Jorik Jooken, Pieter Leyman, Patrick De Causmaecker:
A multi-start local search algorithm for the Hamiltonian completion problem on undirected graphs. - Song-Kyoo Kim:
Enhanced IoV Security Network by using Blockchain Governance Game. - Hajar Doubabi, Issam Salhi, Mohammed Chennani, Najib Essounbouli:
Voltage control of DC-DC Three level Boost converter using TS Fuzzy PI controller. - P. N. Karthik, Rajesh Sundaresan:
Learning to Detect an Odd Markov Arm. - Yu Ye, Ming Xiao, Mikael Skoglund:
Decentralized Multi-Task Learning Based on Extreme Learning Machines. - Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan:
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. - Jochen Hoenicke, Tanja Schindler:
Interpolation and the Array Property Fragment. - Silvia Cruciani, Kaiyu Hang, Christian Smith, Danica Kragic:
Dual-Arm In-Hand Manipulation and Regrasping Using Dexterous Manipulation Graphs. - Chung Chan, Manuj Mukherjee, Praneeth Kumar Vippathalla, Qiaoqiao Zhou:
Multiterminal Secret Key Agreement with Nearly No Discussion. - Bharat Gaind, Nitish Varshney, Shubham Goel, Akash Mondal:
Identifying short-term interests from mobile app adoption pattern. - Christian Scheideler, Alexander Setzer:
On the Complexity of Local Graph Transformations. - Leulseged Tesfaye Alemu, Mubarak Shah, Marcello Pelillo:
Deep Constrained Dominant Sets for Person Re-identification. - Erick Lavoie, Laurie J. Hendren, Frédéric Desprez, Miguel Correia:
Genet: A Quickly Scalable Fat-Tree Overlay for Personal Volunteer Computing using WebRTC. - Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang:
Compressive Multidimensional Harmonic Retrieval with Prior Knowledge. - Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen:
DynamoNet: Dynamic Action and Motion Network. - Florian Cech, Hilda Tellioglu:
Impact of the Digital Transformation: An Online Real-Time Delphi Study. - Ahmed Fadhil:
Assistive System in Conversational Agent for Health Coaching: The CoachAI Approach. - Nicholas D. Sanders, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat:
A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions. - Sebastian Gallenmüller, Dominik Schöffmann, Dominik Scholz, Fabien Geyer, Georg Carle:
DTLS Performance - How Expensive is Security? - Somdatta Goswami, Souvik Chakraborty, Rajib Chowdhury, Timon Rabczuk:
Threshold shift method for reliability-based design optimization. - Ehab Zaghloul, Tongtong Li, Matt W. Mutka, Jian Ren:
$d$-MABE: Distributed Multilevel Attribute-Based EMR Management and Applications. - Ryan Elandt, Evan M. Drumwright, Michael Sherman, Andy Ruina:
A pressure field model for fast, robust approximation of net contact force and moment between nominally rigid objects. - Ehab Zaghloul, Tongtong Li, Matt W. Mutka, Jian Ren:
Bitcoin and Blockchain: Security and Privacy. - (Withdrawn) Faster and More Accurate Learning with Meta Trace Adaptation.
- Matthias Bonne, Keren Censor-Hillel:
Distributed Detection of Cliques in Dynamic Networks. - Saim Ghafoor, Noureddine Boujnah, Mubashir Husain Rehmani, Alan Davy:
MAC Protocols for Terahertz Communication: A Comprehensive Survey. - Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Holistic Large Scale Video Understanding. - Bo Wu, Murat Cubuktepe, Suda Bharadwaj, Ufuk Topcu:
Reward-Based Deception with Cognitive Bias. - Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu:
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning. - Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez:
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. - Ewan Dunbar, Robin Algayres, Julien Karadayi, Mathieu Bernard, Juan Benjumea, Xuan-Nga Cao, Lucie Miskic, Charlotte Dugrain, Lucas Ondel, Alan W. Black, Laurent Besacier, Sakriani Sakti, Emmanuel Dupoux:
The Zero Resource Speech Challenge 2019: TTS without T. - Ivan Lerner, Nicolas Paris, Xavier Tannier:
Terminologies augmented recurrent neural network model for clinical named entity recognition. - Ilya Gusev:
Importance of Copying Mechanism for News Headline Generation. - Sarah Huiyi Cen, Paul Newman:
Radar-only ego-motion estimation in difficult settings via graph matching. - Baturalp Buyukates, Alkan Soysal, Sennur Ulukus:
Age of Information in Multicast Networks with Multiple Update Streams. - Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. - Richard Zhang:
Making Convolutional Networks Shift-Invariant Again. - Evan Shelhamer, Dequan Wang, Trevor Darrell:
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. - Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu:
Spatial-Temporal Relation Networks for Multi-Object Tracking. - Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin:
RepPoints: Point Set Representation for Object Detection. - Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin:
Local Relation Networks for Image Recognition. - Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond. - Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam:
Storage Solutions for Big Data Systems: A Qualitative Study and Comparison. - Kritaphat Songsri-in, Stefanos Zafeiriou:
Face Video Generation from a Single Image and Landmarks. - Yi-Chun Chen, Velibor V. Misic:
Decision Forest: A Nonparametric Approach to Modeling Irrational Choice. - Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue:
DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning. - Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn:
Zap~Q-Learning for Optimal Stopping Time Problems. - Jesus Zavala Ruiz:
First things first: If software engineering is the solution, then what is the problem? - Esraa Abdel-Ghani, Said Ghoul:
Bio-inspired Requirements Variability Modeling with Use Case. - Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. - Christian Göttel, Pascal Felber, Valerio Schiavoni:
Developing Secure Services for IoT with OP-TEE: A First Look at Performance and Usability. - Mugdim Bublin:
Machine Learning For Distributed Acoustic Sensors, Classic versus Image and Deep Neural Networks Approach. - Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He:
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. - Madi Zholbaryssov, Alejandro D. Domínguez-García:
Distributed Optimal Power Flow Algorithms Over Time-Varying Communication Networks. - Morteza Hoseinzadeh:
A Survey on Tiering and Caching in High-Performance Storage Systems. - Suayb S. Arslan:
Array BP-XOR Codes for Parallel Matrix Multiplication using Hierarchical Computing. - Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender:
Neural Text Generation from Rich Semantic Representations. - Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. - Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu:
Unsupervised Deep Learning by Neighbourhood Discovery. - AbdelRahman Eldosouky, Aidin Ferdowsi, Walid Saad:
Drones in Distress: A Game-Theoretic Countermeasure for Protecting UAVs Against GPS Spoofing. - Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVQA+: Spatio-Temporal Grounding for Video Question Answering. - Bahram Mohammadi, Mohammad Sabokrou:
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. - Yuhu Guo, Han Xiao, Yidong Chen, Xiaodong Shi:
Asynchronous "Events" are Better For Motion Estimation. - Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance Event Detection - A Multivariate, Supervised Classification Approach. - Binghan Li, Wenrui Zhang, Mi Lu:
Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior. - Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun:
Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements. - Ameya Phalak, Zhao Chen, Darvin Yi, Khushi Gupta, Vijay Badrinarayanan, Andrew Rabinovich:
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences. - Arya Bangun, Arash Behboodi, Rudolf Mathar:
Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group. - Nilanjan Roy Chowdhury, Nandini Negi, Aranya Chakrabortty:
A New Cyber-Secure Countermeasure for LTI systems under DoS attacks. - Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas, Nicole Wein:
Tight Approximation Algorithms for Bichromatic Graph Diameter and Related Problems. - Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas, Nicole Wein, Yinzhan Xu, Yuancheng Yu:
Approximation Algorithms for Min-Distance Problems. - Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári:
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. - Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld, Rada Mihalcea:
Look Who's Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog. - Iman Haghighi, Noushin Mehdipour, Ezio Bartocci, Calin Belta:
Control from Signal Temporal Logic Specifications with Smooth Cumulative Quantitative Semantics. - Shaoshi Chen, Qing-Hu Hou, Hui Huang, George Labahn, Rong-Hua Wang:
Constructing minimal telescopers for rational functions in three discrete variables. - Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri:
Optimal Recovery Sequencing of Physical Infrastructure After Disasters. - Ming Li, Chunyang Ye, Wei Li:
High-Resolution Network for Photorealistic Style Transfer. - Kyongsik Yun, Luan Nguyen, Tuan Nguyen, Doyoung Kim, Sarah Eldin, Alexander Huyen, Thomas Lu, Edward Chow:
Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation. - Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. - Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. - Abbas Ganji, Negin Alimohammadi, Scott B. Miles:
Challenges in Community Resilience Planning and Opportunities with Simulation Modeling. - Anshuka Rangi, Massimo Franceschetti:
Towards a Non-Stochastic Information Theory. - Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian, Ali Amiri:
Weighted second-order cone programming twin support vector machine for imbalanced data classification. - Mohammed Senoussaoui, Patrick Cardinal, Najim Dehak, Alessandro Lameiras Koerich:
Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods. - Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. - Alexandre Reeberg de Mello, Jonathan de Matos, Marcelo Ricardo Stemmer, Alceu de Souza Britto Jr., Alessandro Lameiras Koerich:
A Novel Orthogonal Direction Mesh Adaptive Direct Search Approach for SVM Hyperparameter Tuning. - Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng:
DPVis: Visual Exploration of Disease Progression Pathways. - Hongzhi Wang, Jiabao Han, Bin Shao, Jianzhong Li:
Regular Expression Matching on billion-nodes Graphs. - Abdelrahman Mohamed, Dmytro Okhonko, Luke Zettlemoyer:
Transformers with convolutional context for ASR. - Hao Ge, Randall Berry:
Quantized VCG Mechanisms for Polymatroid Environments. - Arturo Merino, José A. Soto:
The minimum cost query problem on matroids with uncertainty areas. - Yusuke Ujitoko, Yuki Ban, Koichi Hirota:
Presenting Static Friction Sensation at Stick-slip Transition using Pseudo-haptic Effect. - Ziyuan Gu, Meead Saberi:
Effects of Turning and Merging on Network Traffic Instability: A Simulation-Based Analysis of Human-Driven and Autonomous Vehicles. - Xinyi Zhou, Atishay Jain, Vir V. Phoha, Reza Zafarani:
Fake News Early Detection: A Theory-driven Model. - Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou:
Adaptive Regret of Convex and Smooth Functions. - Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen:
AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding. - Xiang Wang, Kai Wang, Shiguo Lian:
A Survey on Face Data Augmentation. - Khaled Ben Letaief, Wei Chen, Yuanming Shi, Jun Zhang, Ying-Jun Angela Zhang:
The Roadmap to 6G - AI Empowered Wireless Networks. - Chengyan Zhao, Masaki Ogura, Kenji Sugimoto:
Stability Optimization of Positive Semi-Markov Jump Linear Systems via Convex Optimization. - Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang:
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. - Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou:
Neural Logic Machines. - Martin Längkvist, Jonas Widell, Per Thunberg, Amy Loutfi, Mats Lidén:
Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans. - Philippe Lépinard, Sébastien Lozé:
XR: Enabling training mode in the human brain XR: Enabling training mode in the human brain. - Pierre Lairez, Marc Mezzarobba, Mohab Safey El Din:
Computing the volume of compact semi-algebraic sets. - Sumia Abdulhussien Razooqi Al-Obaidi, Davood Zabihzadeh, Ali Salim Rasheed, Reza Monsefi:
Robust Metric Learning based on the Rescaled Hinge Loss. - Ran Liu, Marakkalage Sumudu Hasala, Madhushanka Padmal, Thiruketheeswaran Shaganan, Chau Yuen, Yong Liang Guan, U-Xuan Tan:
Crowd-sensing Simultaneous Localization and Radio Fingerprint Mapping based on Probabilistic Similarity Models. - Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama:
Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization. - Martino Trevisan, Luca Vassio, Idilio Drago, Marco Mellia, Fabricio Murai, Flavio V. D. de Figueiredo, Ana Paula Couto da Silva, Jussara M. Almeida:
Towards Understanding Political Interactions on Instagram. - Yuta Sakai, Ken-ichi Iwata, Hiroshi Fujisaki:
Countably Infinite Multilevel Source Polarization for Non-Stationary Erasure Distributions. - Andrea Morichetta, Martino Trevisan, Luca Vassio:
Characterizing web pornography consumption from passive measurements. - Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. - Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi:
Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments. - Chun-Kit Yeung:
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. - Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi:
Landmark-Based Approaches for Goal Recognition as Planning. - Kshitij Dwivedi, Gemma Roig:
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning. - Rebeca Campos Motta:
Towards a Strategy for Supporting the Engineering of Contemporary Software Systems. - Jithin Ravi, Tobias Koch:
Capacity per Unit-Energy of Gaussian Many-Access Channels. - Ziyuan Gu, Sajjad Shafiei, Zhiyuan Liu, Meead Saberi:
Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram. - Naoto Sato, Hironobu Kuruma, Yuichiroh Nakagawa, Hideto Ogawa:
Formal Verification of Decision-Tree Ensemble Model and Detection of its Violating-input-value Ranges. - Francesca Arcelli Fontana, Valentina Lenarduzzi, Riccardo Roveda, Davide Taibi:
Are Architectural Smells Independent from Code Smells? An Empirical Study. - Jan-Hendrik Lorenz, Julian Nickerl:
The Potential of Restarts for ProbSAT. - Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen, Baoliu Ye, Sanglu Lu:
Construction of Subexponential-Size Optical Priority Queues with Switches and Fiber Delay Lines. - Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. - Niels F. W. Voorneveld:
Quantitative Logics for Equivalence of Effectful Programs. - Joseph Naor, Seeun William Umboh, David P. Williamson:
Tight Bounds for Online Weighted Tree Augmentation. - Michael Strecke, Jörg Stückler:
EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association. - Anne Lauscher, Goran Glavas:
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors. - Guojun Yin, Bin Liu, Huihui Zhu, Tao Gong, Nenghai Yu:
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis. - Julien Lavauzelle, Julian Renner:
Cryptanalysis of a System Based on Twisted Reed-Solomon Codes. - Qun Yang, Zhepu Xu, Saravanan Gurupackiam, Ping Wang:
A Method for Expressing and Displaying the Vehicle Behavior Distribution in Maintenance Work Zones. - Ramachandran Anantharaman, Virendra R. Sule:
Analysis of Periodic Feedback Shift Registers. - Hiroki Horino, Hirofumi Nonaka, Elisa Claire Alemán Carreón, Toru Hiraoka:
Development of an Entropy-Based Feature Selection Method and Analysis of Online Reviews on Real Estate. - Sara Morsy, George Karypis:
Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation. - Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis:
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. - Mohit Sharma, George Karypis:
Adaptive Matrix Completion for the Users and the Items in Tail. - Francesco Ranzato, Marco Zanella:
Robustness Verification of Support Vector Machines. - Dehia Ait-Ferhat, Vincent Juliard, Gautier Stauffer, Andres J. Torres:
The $k$-path coloring problem in graphs with bounded treewidth: an application in integrated circuit manufacturing. - Weiming Feng, Kun He, Xiaoming Sun, Yitong Yin:
Dynamic MCMC Sampling. - Karoliina Lehtinen, Sven Schewe, Dominik Wojtczak:
Improving the complexity of Parys' recursive algorithm. - George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin, François Tessier, Venkatram Vishwanath:
A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers. - Jean-Baptiste Camps, Gilles Guilhem Couffignal:
Producing Corpora of Medieval and Premodern Occitan. - Alexandre Salle, Marcelo O. R. Prates:
Think Again Networks and the Delta Loss. - Yannick Forster, Fabian Kunze:
A certifying extraction with time bounds from Coq to call-by-value $λ$-calculus. - Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. - Sanjay Krishnan, Eugene Wu:
AlphaClean: Automatic Generation of Data Cleaning Pipelines. - Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek:
Evaluating Recurrent Neural Network Explanations. - Artur L. F. Souza, Leonardo B. Oliveira, Sabine Hollatz, Matthew Feldman, Kunle Olukotun, James M. Holton, Aina E. Cohen, Luigi Nardi:
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning. - Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy mechanism and tailored training for character-based data-to-text generation. - Joel Greenyer, Malte Lochau, Thomas Vogel:
Explainable Software for Cyber-Physical Systems (ES4CPS): Report from the GI Dagstuhl Seminar 19023, January 06-11 2019, Schloss Dagstuhl. - Manie Tadayon, Greg Pottie:
Predicting Student Performance in an Educational Game Using a Hidden Markov Model. - Sara Morsy, George Karypis:
Sparse Neural Attentive Knowledge-based Models for Grade Prediction. - Thomas Place, Marc Zeitoun:
On all things star-free. - Rania Briq, Andreas Doering, Juergen Gall:
Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation. - Silvija Kokalj-Filipovic, Rob Miller, Joshua Morman:
AutoEncoders for Training Compact Deep Learning RF Classifiers for Wireless Protocols. - Daniel Alabi, Adam Tauman Kalai, Katrina Ligett, Cameron Musco, Christos Tzamos, Ellen Vitercik:
Learning to Prune: Speeding up Repeated Computations. - Dwij Sukeshkumar Sheth, Shantanu Singh, Prakhar S. Mathur, Vydeki D:
Smart Laptop Bag with Machine Learning for Activity Recognition. - Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo:
Graph Optimized Convolutional Networks. - Eliza Harrison, Paige Martin, Didi Surian, Adam G. Dunn:
Recommending research articles to consumers of online vaccination information. - Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou:
Perceptual Attention-based Predictive Control. - Vaggelis G. Douros, Andra M. Voicu, Petri Mähönen:
Unlocking the Potential of QoS-Aware Pricing under the Licensed Shared Access Regime. - Mikaela Ngamboé, Paul Berthier, Nader Ammari, Katia Dyrda, José M. Fernandez:
Risk Assessment of Cyber Attacks on Telemetry Enabled Cardiac Implantable Electronic Devices (CIED). - Mohammad Adiban, Bagher BabaAli, Saeedreza Shehnepoor:
I-vector Based Features Embedding for Heart Sound Classification. - Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey, Vinod M. Prabhakaran:
Byzantine Multiple Access. - Michael T. Schaub, Santiago Segarra, Hoi-To Wai:
Spectral partitioning of time-varying networks with unobserved edges. - Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, Daniel Cremers:
GN-Net: The Gauss-Newton Loss for Deep Direct SLAM. - Soomin Kim, Yuchi Huo, Sung-Eui Yoon:
Single Image Reflection Removal with Physically-based Rendering. - Rujun Han, Mengyue Liang, Bashar Alhafni, Nanyun Peng:
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding. - Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa:
SWALP : Stochastic Weight Averaging in Low-Precision Training. - Samuel Haney, Mehraneh Liaee, Bruce M. Maggs, Debmalya Panigrahi, Rajmohan Rajaraman, Ravi Sundaram:
Retracting Graphs to Cycles. - Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang:
On Exact Computation with an Infinitely Wide Neural Net. - Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum, Riza Alp Güler, Dimitris Samaras, Iasonas Kokkinos:
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion. - Ahmed Fadhil, Gianluca Schiavo, Yunlong Wang:
CoachAI: A Conversational Agent Assisted Health Coaching Platform. - Michael Jünger, Elisabeth Lobe, Petra Mutzel, Gerhard Reinelt, Franz Rendl, Giovanni Rinaldi, Tobias Stollenwerk:
Performance of a Quantum Annealer for Ising Ground State Computations on Chimera Graphs. - David Wehr, Halley Fede, Eleanor Pence, Bo Zhang, Guilherme Ferreira, John Walczyk, Joseph Hughes:
Learning Semantic Vector Representations of Source Code via a Siamese Neural Network. - Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu:
PowerNet: Neural Power Demand Forecasting in Smart Grid. - Federico Corò, Gianlorenzo D'Angelo, Vahan Mkrtchyan:
On the fixed-parameter tractability of the maximum connectivity improvement problem. - Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli:
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications. - Ignacio Viedma, Juan E. Tapia, Andrés Iturriaga, Christoph Busch:
Relevant features for Gender Classification in NIR Periocular Images. - Vahan Mkrtchyan, Garik Petrosyan, K. Subramani:
Parameterized algorithms for Partial vertex covers in bipartite graphs. - Ji Hou, Angela Dai, Matthias Nießner:
3D-SIC: 3D Semantic Instance Completion for RGB-D Scans. - Jonathan Tuck, Shane T. Barratt, Stephen P. Boyd:
A Distributed Method for Fitting Laplacian Regularized Stratified Models. - Sixue Gong, Yichun Shi, Anil K. Jain, Nathan D. Kalka:
Recurrent Embedding Aggregation Network for Video Face Recognition. - Michelle Reddy, Júlio C. Nardelli, Yuri L. Pereira, Marisa Vasconcelos, Thiago Henrique Silva, Leonardo B. Oliveira, Mark Horowitz:
StartupBR: Higher Education's Influence on Social Networks and Entrepreneurship in Brazil. - Elisa Claire Alemán Carreón, Tetsuro Ito, Hirofumi Nonaka, Minoru Kumano, Toru Hiraoka, Masaharu Hirota:
Causal relationship between eWOM topics and profit of rural tourism at Japanese Roadside Stations "MICHINOEKI". - Asahi Hentona, Takeshi Sakumoto, Hugo Alberto Mendoza España, Hirofumi Nonaka, Shotaro Kataoka, Toru Hiraoka, Kensei Nakai, Elisa Claire Alemán Carreón, Masaharu Hirota:
Community Detection and Growth Potential Prediction from Patent Citation Networks. - Hung Le, Shay Solomon:
Truly Optimal Euclidean Spanners. - Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li:
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. - Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Towards Data Poisoning Attack against Knowledge Graph Embedding. - Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant:
Sample Amplification: Increasing Dataset Size even when Learning is Impossible. - Marc-André Zöller, Marco F. Huber:
Survey on Automated Machine Learning. - Muhan Zhang, Yixin Chen:
Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network. - Tu Bui, Daniel Cooper, John P. Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown:
ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain. - Marthe Bonamy, Théo Pierron, Éric Sopena:
Every planar graph with Δ≥8 is totally (Δ+2)-choosable. - Christopher Johnson, Haitao Wang:
A Linear-Time Algorithm for Radius-Optimally Augmenting Paths in a Metric Space. - David Byrd, Maria Hybinette, Tucker Hybinette Balch:
ABIDES: Towards High-Fidelity Market Simulation for AI Research. - Yuzhe Richard Tang, Ju Chen, Kai Li, Jianliang Xu, Qi Zhang:
Authenticated Key-Value Stores with Hardware Enclaves. - Peter Robinson, David Hyland-Wood, Roberto Saltini, Sandra Johnson, John Brainard:
Atomic Crosschain Transactions for Ethereum Private Sidechains. - Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans:
Exponential Family Estimation via Adversarial Dynamics Embedding. - Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf:
Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers. - Gustavo Henrique Paetzold, Marcos Zampieri:
Experiments in Cuneiform Language Identification. - Heming Zhang, Xiaolong Wang, Jingwen Zhu, C.-C. Jay Kuo:
Accelerating Proposal Generation Network for Fast Face Detection on Mobile Devices. - Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas W. Reps:
Enabling Open-World Specification Mining via Unsupervised Learning. - Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao:
Learning to Fuse Local Geometric Features for 3D Rigid Data Matching. - Amod Jog, Patricia Ellen Grant, Joseph L. Jacobson, André J. W. van der Kouwe, Ernesta M. Meintjes, Bruce Fischl, Lilla Zöllei:
Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks. - Yuanbo Hou, Qiuqiang Kong, Shengchen Li, Mark D. Plumbley:
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering. - Tianda Li, Xiaodan Zhu, Quan Liu, Qian Chen, Zhigang Chen, Si Wei:
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference. - Jifan Chen, Greg Durrett:
Understanding Dataset Design Choices for Multi-hop Reasoning. - Jinkun Cao, Jinhao Zhu, Liwei Lin, Ruhui Ma, Haibing Guan:
Better Accuracy and Efficiency for Fuzzy Search on Encrypted Data. - Hoover H. F. Yin, Ka Hei Ng, Yu Ting Shing, Russell W. F. Lai, Xishi Wang:
Decision Procedure for the Existence of Two-Channel Prefix-Free Codes. - Jianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu:
A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces. - Saigopal Nelaturi, Morad Behandish, Amir M. Mirzendehdel, Johan de Kleer:
Automatic Support Removal for Additive Manufacturing Post Processing. - Gopi Sanghani, Ketan Kotecha:
Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update. - Srikant Manas Kala, Winston K. G. Seah, Vanlin Sathya, Betty Lala:
Statistical Relationship between Interference Estimates and Network Capacity. - Rebekka Wohlrab, Patrizio Pelliccione, Eric Knauss, Mats Larsson:
Boundary Objects and their Use in Agile Systems Engineering. - Maurice Margenstern:
About Fibonacci trees. I. - Ugo Dal Lago, Francesco Gavazzo, Akira Yoshimizu:
Differential Logical Relations, Part I: The Simply-Typed Case (Long Version). - Nidhi Rastogi:
Exploring Information Centrality for Intrusion Detection in Large Networks. - Alejandro Flores-Velazco, David M. Mount:
Guarantees on Nearest-Neighbor Condensation heuristics. - Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Didier Stricker:
IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction. - Noriyuki Tonami, Keisuke Imoto, Masahiro Niitsuma, Ryosuke Yamanishi, Yoichi Yamashita:
Joint Analysis of Acoustic Event and Scene Based on Multitask Learning. - Laurenz A. Cornelissen, Petrus Schoonwinkel, Richard J. Barnett:
A Socio-Informatic Approach to Automated Account Classification on Social Media. - Marco Filetti, Hamed R. Tavakoli, Niklas Ravaja, Giulio Jacucci:
PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research. - Anselm Haak, Arne Meier, Om Prakash, B. V. Raghavendra Rao:
Parameterised Counting Classes with Bounded Nondeterminism. - Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto:
Sentiment Classification using N-gram IDF and Automated Machine Learning. - Maryam Adineh, Mostafa Nouri Baygi:
High Quality Degree Based Heuristics for the Influence Maximization Problem. - Lluís Castrejón, Nicolas Ballas, Aaron C. Courville:
Improved Conditional VRNNs for Video Prediction. - Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. - Yang Li, Zezhong Zhang, Rui Wang, Kaibin Huang, Yifan Chen:
Learning-based Rate Adaptation for Uplink Massive MIMO Networks with Cooperative Data-Assisted Detection. - Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Prediction with Unpredictable Feature Evolution. - Ying Qu, Hairong Qi, Chiman Kwan:
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net. - Maen Alzubi, Zsolt Csaba Johanyák, Szilveszter Kovács:
Fuzzy Rule Interpolation Methods and Fri Toolbox. - Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu:
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. - Qi Zhao, Yusu Wang:
Learning metrics for persistence-based summaries and applications for graph classification. - Subodh Deolekar, Siby Abraham:
Towards Automation of Creativity: A Machine Intelligence Approach. - Qurrat-Ul-Ain Nadeem, Abla Kammoun, Mérouane Debbah, Mohamed-Slim Alouini:
Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation. - Xianghao Yu, Dongfang Xu, Robert Schober:
MISO Wireless Communication Systems via Intelligent Reflecting Surfaces. - Zhengyuan Yang, Yixuan Zhang, Jiebo Luo:
Human-Centered Emotion Recognition in Animated GIFs. - Mohammad Taha Bahadori, Zachary Chase Lipton:
Temporal-Clustering Invariance in Irregular Healthcare Time Series. - Aditya Saligrama, Andrew Shen, Jon Gjengset:
A Practical Analysis of Rust's Concurrency Story. - Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi:
Soft Marginal TransE for Scholarly Knowledge Graph Completion. - Yuming Zhai, Pooyan Safari, Gabriel Illouz, Alexandre Allauzen, Anne Vilnat:
Towards Recognizing Phrase Translation Processes: Experiments on English-French. - Paolo Santini, Massimo Battaglioni, Franco Chiaraluce, Marco Baldi:
Analysis of reaction and timing attacks against cryptosystems based on sparse parity-check codes. - Eyal Rozenberg:
A computational model for analytic column stores. - Omid Gheibi, Rasoul Ramezanian:
A process algebraic form to represent extensive games. - Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki:
Analysis of Confident-Classifiers for Out-of-distribution Detection. - Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. - Oh-Hyun Kwon, Kwan-Liu Ma:
A Deep Generative Model for Graph Layout. - Allison Randal:
The Ideal Versus the Real: Revisiting the History of Virtual Machines and Containers. - Tzu-Mao Li:
Differentiable Visual Computing. - Hanchen Xu, Xiao Li, Xiangyu Zhang, Junbo Zhang:
Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning. - Sébastien Bubeck, Yuanzhi Li, Yuval Peres, Mark Sellke:
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without. - José de Jesús Rubio, José Alberto Hernández Aguilar, Francisco Jacob Ávila-Camacho, Juan Manuel Stein-Carrillo, Adolfo Meléndez-Ramírez:
Sistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales. - Francisca Gil Ureta, Nico Pietroni, Denis Zorin:
Structurally optimized shells. - Yachen Tang, Tingting Liu, Guangyi Liu, Jie Li, Renchang Dai, Chen Yuan:
Enhancement of Power Equipment Management Using Knowledge Graph. - Mingzhu Zhu, Bing-Wei He, Jiantao Liu:
Weighted Dark Channel Dehazing. - Danda B. Rawat, Vijay Chaudhary, Ronald Doku:
Blockchain: Emerging Applications and Use Cases. - Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Fast Utility Mining on Complex Sequences. - Bin Zhao, Xuelong Li, Xiaoqiang Lu:
Hierarchical Recurrent Neural Network for Video Summarization. - Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu:
Translate-to-Recognize Networks for RGB-D Scene Recognition. - Suhit Kodgule, Alberto Candela, David Wettergreen:
Non-myopic Planetary Exploration Combining In Situ and Remote Measurements. - Nupur Patanker, Sanjay Kumar Singh:
A short note on Goppa codes over Elementary Abelian $p$-Extensions of Fps(x). - Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy S. J. Ren:
Spatio-Temporal Filter Adaptive Network for Video Deblurring. - Liwei Zeng, Karen R. Smilowitz, Sunil Chopra:
Generalizing the Covering Path Problem on a Grid. - Oded Vainas, Ori Bar-Ilan, Yossi Ben David, Ran Gilad-Bachrach, Galit Lukin, Meitar Ronen, Roi Shillo, Daniel Sitton:
E-Gotsky: Sequencing Content using the Zone of Proximal Development. - Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan:
X-Ray Image Compression Using Convolutional Recurrent Neural Networks. - Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao:
Robust subspace clustering by Cauchy loss function. - Ali Zibaeenejad, Jun Chen:
The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals. - Mohammad Reza Ranjbar Divkoti, Mostafa Nouri Baygi:
Fast path planning algorithms for Unmanned Aerial Vehicles. - Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo:
3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling. - Koby Bibas, Yaniv Fogel, Meir Feder:
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks. - Zhiri Tang, Yanhua Chen, Ruihan Hu, Ruohua Zhu, Hao Wang, Jin He, Qijun Huang, Sheng Chang:
Fully Memristive Neural Network Merging Image Preprocessing and Pattern Recognition. - Kai Wang, Fuyuan Shi, Wenqi Wang, Yibing Nan, Shiguo Lian:
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines. - Enrique Rosales, Jafet Rodriguez, Alla Sheffer:
SurfaceBrush: From Virtual Reality Drawings to Manifold Surfaces. - Jiangbin Lyu, Dan Yu, Liqun Fu:
Achieving Max-Min Throughput in LoRa Networks. - Jun Song, Ke Han:
Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing. - Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim:
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion. - Shamel Fahmi, Michele Focchi, Andreea Radulescu, Geoff Fink, Victor Barasuol, Claudio Semini:
STANCE: Locomotion Adaptation over Soft Terrain. - Anas Alhamwieh, Said Ghoul:
A Feature Based Methodology for Variable Requirements Reverse Engineering. - Eman Muslah, Said Ghoul:
Requirements variability specification for data intensive software. - Ran Bakalo, Rami Ben-Ari, Jacob Goldberger:
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net. - Laurent Boué:
Real numbers, data science and chaos: How to fit any dataset with a single parameter. - Rohit Jena:
An approach to image denoising using manifold approximation without clean images. - Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla:
OPIEC: An Open Information Extraction Corpus. - Pritam Anand, Reshma Rastogi, Suresh Chandra:
Support Vector Regression via a Combined Reward Cum Penalty Loss Function. - Vincent Cohen-Addad, Anupam Gupta, Amit Kumar, Euiwoong Lee, Jason Li:
Tight FPT Approximations for $k$-Median and k-Means. - Zinan Liu, Kai Ploeger, Svenja Stark, Elmar Rueckert, Jan Peters:
Learning walk and trot from the same objective using different types of exploration. - Vikraman Arvind, Abhranil Chatterjee, Rajit Datta, Partha Mukhopadhyay:
Efficient Black-Box Identity Testing over Free Group Algebra. - Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin:
Supporting Video Queries on Zero-Streaming Cameras. - Ines Benali-Sougui, Minyar Sassi Hidri, Amel Grissa Touzi:
Towards a New Extracting and Querying Approach of Fuzzy Summaries. - Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko:
Domain Agnostic Learning with Disentangled Representations. - Lvbang Tang, Hesheng Wang:
Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search. - Aydin Teyhouee, Nathaniel D. Osgood:
Cough Detection Using Hidden Markov Models. - Shunhao Oh, Anuja Meetoo Appavoo, Seth Gilbert:
Periodic Bandits and Wireless Network Selection. - Justus Thies, Michael Zollhöfer, Matthias Nießner:
Deferred Neural Rendering: Image Synthesis using Neural Textures. - Wei Zheng, Hai Lin:
Vector Autoregressive POMDP Model Learning and Planning for Human-Robot Collaboration. - Ling Zhang, Zhigang Zhu:
Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network. - Prabal Banerjee, Nishant Nikam, Sushmita Ruj:
Blockchain Enabled Privacy Preserving Data Audit. - Mehrdad Tahmasbi, Matthieu R. Bloch:
Security of Covert Quantum Key Distribution under a Class of Coherent Attacks. - Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
LeGR: Filter Pruning via Learned Global Ranking. - Stefano Marchini, Sebastiano Vigna:
Compact Fenwick trees for dynamic ranking and selection. - Milan Ceska, Christian Hensel, Sebastian Junges, Joost-Pieter Katoen:
Counterexample-Driven Synthesis for Probabilistic Program Sketches. - Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. - Jacek Czaja, Michal Gallus, Tomasz Patejko, Jian Tang:
Softmax Optimizations for Intel Xeon Processor-based Platforms. - Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He:
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. - Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar:
Machine Learning in the Air. - Maximilian Du:
Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome. - Fady Medhat, Mahnaz Mohammadi, Sardar F. Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara:
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. - Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K. Karagiannidis:
Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks. - Zhong Meng, Jinyu Li, Yong Zhao, Yifan Gong:
Conditional Teacher-Student Learning. - Zhong Meng, Jinyu Li, Yifan Gong:
Attentive Adversarial Learning for Domain-Invariant Training. - Simon H. Tindemans, Goran Strbac:
Low-complexity control algorithm for decentralised demand response using thermostatic loads. - Joshua Y. Kim, Chunfeng Liu, Rafael A. Calvo, Kathryn McCabe, Silas C. R. Taylor, Björn W. Schuller, Kaihang Wu:
A Comparison of Online Automatic Speech Recognition Systems and the Nonverbal Responses to Unintelligible Speech. - Zhong Meng, Yong Zhao, Jinyu Li, Yifan Gong:
Adversarial Speaker Verification. - Zhong Meng, Jinyu Li, Yifan Gong:
Adversarial Speaker Adaptation. - Scott D. Stoller, Yanhong A. Liu:
Algorithm Diversity for Resilient Systems. - Reza Asadi, Amelia Regan:
A convolution recurrent autoencoder for spatio-temporal missing data imputation. - Miron Ficak, Marcin Kozik, Miroslav Olsák, Szymon Stankiewicz:
Dichotomy for symmetric Boolean PCSPs. - Taesik Na, Minah Lee, Burhan Ahmad Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay:
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms. - Shay Solomon, Nicole Wein:
Improved Dynamic Graph Coloring. - Xinyang Li, Jie Hu, Shengchuan Zhang, Xiaopeng Hong, Qixiang Ye, Chenglin Wu, Rongrong Ji:
Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning. - Surabhi Verma, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot:
Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences. - Masaki Kitayama, Hitoshi Kiya:
HOG feature extraction from encrypted images for privacy-preserving machine learning. - Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu:
Challenges and Pitfalls of Reproducing Machine Learning Artifacts. - Lirong Huang:
Stability of stochastic impulsive differential equations: integrating the cyber and the physical of stochastic systems. - Xiaolei Fang, Jinquan Luo:
New Quantum Generalized Reed-Solomn Codes over Finite Fields. - Junyu Cao, Wei Sun:
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem. - Pawel Parys:
Parity Games: Zielonka's Algorithm in Quasi-Polynomial Time. - Dong Liu, Yue Li, Jianping Lin, Houqiang Li, Feng Wu:
Deep Learning-Based Video Coding: A Review and A Case Study. - David Zimmermann:
Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees. - Srikrishnan Divakaran:
A Fast Scalable Heuristic for Bin Packing. - Asher Wilk:
Teaching AI, Ethics, Law and Policy. - Tao Jiang, Yuanming Shi:
Over-the-Air Computation via Intelligent Reflecting Surfaces. - Morgane Hamon, Emma Chabani, Philippe Giraudeau:
Towards a Passive BCI to Induce Lucid Dream. - Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin:
Self-Attention Capsule Networks for Image Classification. - Chenxu Zhao, Yunxiao Qin, Zezheng Wang, Tianyu Fu, Hailin Shi:
Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing. - Julien Baste:
Composing dynamic programming tree-decomposition-based algorithms. - Safeeullah Soomro, Mohammad Riyaz Belgaum, Zainab Alansari, Mahdi H. Miraz:
A Framework for Debugging Java Programs in a Bytecode. - Thomas Bläsius, Philipp Fischbeck, Tobias Friedrich, Maximilian Katzmann:
Solving Vertex Cover in Polynomial Time on Hyperbolic Random Graphs. - Carsten Lutz, Leif Sabellek:
A Complete Classification of the Complexity and Rewritability of Ontology-Mediated Queries based on the Description Logic EL. - Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit:
Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning. - Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li:
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. - Valentina Lenarduzzi, Terese Besker, Davide Taibi, Antonio Martini, Francesca Arcelli Fontana:
Technical Debt Prioritization: State of the Art. A Systematic Literature Review. - Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin:
A Survey of Community Search Over Big Graphs. - Enas Nafar, Said Ghoul:
A Genetic Framework Model For Self-Adaptive Software. - Jianyi Zhang, Xiali Hei, Zhiqiang Wang:
Typer vs. CAPTCHA: Private information based CAPTCHA to defend against crowdsourcing human cheating. - Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. - Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification. - Mark-Christoph Müller:
Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications. - Jinho Choi:
A Cross-Layer Approach to Data-aided Sensing using Compressive Random Access. - Evgenii Ofitserov, Vasily Tsvetkov, Vadim Nazarov:
Soft edit distance for differentiable comparison of symbolic sequences. - Dennis Guse, Henrique R. Orefice, Gabriel Reimers, Oliver Hohlfeld:
TheFragebogen: A Web Browser-based Questionnaire Framework for Scientific Research. - Leonid Keselman:
Venue Analytics: A Simple Alternative to Citation-Based Metrics. - Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation. - Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo:
Knowledge Graph Convolutional Networks for Recommender Systems. - Armel Jacques Nzekon Nzeko'o, Maurice Tchuenté, Matthieu Latapy:
Link Stream Graph for Temporal Recommendations. - Martin Holecek, Antonín Hoskovec, Petr Baudis, Pavel Klinger:
Line-items and table understanding in structured documents. - Ronghui You, Zihan Zhang, Suyang Dai, Shanfeng Zhu:
HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification. - Yi Yang, Baile Xu, Furao Shen, Jian Zhao:
Operation-aware Neural Networks for User Response Prediction. - Dwarampudi Mahidhar Reddy, N. V. Subba Reddy:
Twitter Sentiment Analysis using Distributed Word and Sentence Representation. - Achim J. Lilienthal, Maike Schindler:
Current Trends in Eye Tracking Research in Mathematics Education: A PME Literature Review. - Nazakat Ali, Jang-Eui Hong:
Using Social Network Service to determine the Initial User Requirements for Small Software Businesses. - Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. - Amirkoushyar Ziabari, Michael Kirka, Vincent C. Paquit, Philip R. Bingham, Singanallur V. Venkatakrishnan:
X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR. - Sophie Crommelinck, Mila Koeva, Michael Ying Yang, George Vosselman:
Robust object extraction from remote sensing data. - Thomas Köllmer, Jens Hasselbach, Patrick Aichroth:
Text Classification Components for Detecting Descriptions and Names of CAD models. - Ran Bakalo, Jacob Goldberger, Rami Ben-Ari:
A dual branch deep neural network for classification and detection in mammograms. - Nancy A. Lynch, Cameron Musco, Merav Parter:
Winner-Take-All Computation in Spiking Neural Networks. - Amjad Rehman:
An Ensemble of Neural Networks for Non-Linear Segmentation of Overlapped Cursive Script. - Rui Portocarrero Sarmento:
Density-based Community Detection/Optimization. - Rohan Garg, Gregory Price, Gene Cooperman:
MANA for MPI: MPI-Agnostic Network-Agnostic Transparent Checkpointing. - Giuseppe Liotta, Ignaz Rutter, Alessandra Tappini:
Graph Planarity Testing with Hierarchical Embedding Constraints. - Guillaume Noyel, Michel Jourlin:
Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms. - Sascha Wirges, Johannes Gräter, Qiuhao Zhang, Christoph Stiller:
Self-Supervised Flow Estimation using Geometric Regularization with Applications to Camera Image and Grid Map Sequences. - Lichen Wang, Bin Sun, Joseph P. Robinson, Taotao Jing, Yun Fu:
EV-Action: Electromyography-Vision Multi-Modal Action Dataset. - Zohaib Khan, Faisal Shafait, Ajmal Mian:
Converting a Common Document Scanner to a Multispectral Scanner. - Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen:
Pre-training of Context-aware Item Representation for Next Basket Recommendation. - Jinyin Chen, Yangyang Wu, Lu Fan, Xiang Lin, Haibin Zheng, Shanqing Yu, Qi Xuan:
N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network. - Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum:
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. - Daniel Martens, Walid Maalej:
Towards Understanding and Detecting Fake Reviews in App Stores. - Issam W. Damaj, Sohaib Majzoub, Hassan B. Diab:
2D and 3D Computer Graphics Algorithms under MorphoSys. - Kyle Mott:
State Classification of Cooking Objects Using a VGG CNN. - Xinyu Li, Wei Zhang, Tong Shen, Tao Mei:
Everyone is a Cartoonist: Selfie Cartoonization with Attentive Adversarial Networks. - Yujia Bao, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, Regina Barzilay, Danielle Braun, Kevin S. Hughes:
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. - N. S. Manikandan, K. Ganesan:
Deep Learning Based Automatic Video Annotation Tool for Self-Driving Car. - Siyang Sun:
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection. - Tao Li, Lei Lin:
AnonymousNet: Natural Face De-Identification with Measurable Privacy. - Cory Cornelius, Shang-Tse Chen, Jason Martin, Duen Horng Chau:
Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA. - Damon Bayer, Semhar Michael:
Exploring the Daschle Collection using Text Mining. - Apostol Vassilev:
BowTie - A deep learning feedforward neural network for sentiment analysis. - Tauseef Ali, Ahmed B. Altamimi:
Crowd Management in Open Spaces. - Francisco Bischoff, Pedro Pereira Rodrigues:
tsmp: An R Package for Time Series with Matrix Profile. - Antoine Viscardi, Casey Juanxi Li, Thomas Hollis:
Catch Me If You Can. - Onkar Krishna, Kiyoharu Aizawa, Go Irie:
Computational Attention System for Children, Adults and Elderly. - Tao Li:
Beauty Learning and Counterfactual Inference. - Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms. - Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter:
A Personalized Affective Memory Neural Model for Improving Emotion Recognition. - Jianwu Fang, Dingxin Yan, Jiahuan Qiao, Jianru Xue, He Wang, Sen Li:
DADA-2000: Can Driving Accident be Predicted by Driver Attention? Analyzed by A Benchmark. - Amrith Kumar, Kenneth Rugg:
Brewers Conjecture and a characterization of the limits, and relationships between Consistency, Availability and Partition Tolerance in a distributed service. - Eloi Zablocki, Patrick Bordes, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. - Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Wenming Cao, Zhiwen Yu:
Inner-Imaging Convolutional Networks. - Weijia Wu, Jici Xing, Hong Zhou:
TextCohesion: Detecting Text for Arbitrary Shapes. - Yuan Yuan, Yuwei Lu, Qi Wang:
Tracking as A Whole: Multi-Target Tracking by Modeling Group Behavior with Sequential Detection. - Yuwei Lu, Yuan Yuan, Qi Wang:
Forward Vehicle Collision Warning Based on Quick Camera Calibration. - Mohit Sharma, F. Maxwell Harper, George Karypis:
Learning from Sets of Items in Recommender Systems. - Kevin Jasberg, Sergej Sizov:
Computational Approaches to Access Probabilistic Population Codes for Higher Cognition an Decision-Making. - Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage. - Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht:
The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning. - Zhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, Renjie He:
MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity Map for Stereo Matching. - Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition. - Chao-Yang Chen, Weihua Gui, Lianghong Wu, Zhaohua Liu, Huaicheng Yan:
Tracking Performance Limitations of MIMO Networked Control Systems with Multiple Communication Constraints. - Zhen Lin, Mohammad A. Alshboul, Yan Solihin, Huiyang Zhou:
Exploring Memory Persistency Models for GPUs. - Bharath Ramesh, Andrés Ussa, Luca Della Vedova, Hong Yang, Garrick Orchard:
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras. - Runyu Zhang, Chaoshu Yang:
Reconstruct the Directories for In-Memory File Systems. - Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker:
DeLiO: Decoupled LiDAR Odometry. - Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck:
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms. - Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon:
Hierarchical Context enabled Recurrent Neural Network for Recommendation. - Mauricio Fadel Argerich, Bin Cheng, Jonathan Fürst:
Reinforcement Learning Based Orchestration for Elastic Services. - Ali Ahmed, Alireza Aghasi, Paul Hand:
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. - Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou:
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. - Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara:
An efficient branch-and-cut algorithm for approximately submodular function maximization. - Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury:
On the Effect of Low-Frequency Terms on Neural-IR Models. - Ranwa Al Mallah, Bilal Farooq, Alejandro Quintero:
Distributed Classification of Urban Congestion Using VANET. - Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths:
Capturing human categorization of natural images at scale by combining deep networks and cognitive models. - Shangtong Zhang, Shimon Whiteson:
DAC: The Double Actor-Critic Architecture for Learning Options. - Bo Kang, Jefrey Lijffijt, Tijl De Bie:
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions. - Taylan Sahin, Mate Boban:
Radio Resource Allocation for Reliable Out-of-coverage V2V Communications. - Yinlong Liu, Alois C. Knoll, Guang Chen:
A New Method for Atlanta World Frame Estimation. - Fábio Perez, Sandra Avila, Eduardo Valle:
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification. - Alessio Mazzetto, Andrea Pietracaprina, Geppino Pucci:
Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces. - Hamza Omar, Omer Khan:
IRONHIDE: A Secure Multicore Architecture that Leverages Hardware Isolation Against Microarchitecture State Attacks. - Mingliang Fu, Weijia Zhou:
DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation. - Semiha Tedik Basaran, Gunes Karabulut-Kurt, Frank R. Kschischang:
Wireless Network Reliability Analysis for Arbitrary Network Topologies. - Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna Udutalapally:
Self Training Autonomous Driving Agent. - Emelie Engström, Margaret-Anne D. Storey, Per Runeson, Martin Höst, Maria Teresa Baldassarre:
A review of software engineering research from a design science perspective. - Giorgio Morales, Alejandro Ramírez, Joel Telles:
End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning. - Alexander Tekles, Lutz Bornmann:
Author name disambiguation of bibliometric data: A comparison of several unsupervised approaches. - Irit Dinur, Konstantin Golubev:
Testing tensor products. - Taosha Fan, Jarvis A. Schultz, Todd D. Murphey:
Efficient Computation of Higher-Order Variational Integrators in Robotic Simulation and Trajectory Optimization. - Xin Chen, Lingxi Xie, Jun Wu, Qi Tian:
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation. - Luis Montejano, Eric Pauli, Miguel Raggi, Edgardo Roldán-Pensado:
The graphs behind Reuleaux polyhedra. - Daniel Vial, Vijay G. Subramanian:
Local non-Bayesian social learning with stubborn agents. - Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Competitive Statistical Estimation with Strategic Data Sources. - Sharath Adavanne, Archontis Politis, Tuomas Virtanen:
Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network. - Mohammed Amer, Tomás Maul:
A Review of Modularization Techniques in Artificial Neural Networks. - Fei Chen, Dimos V. Dimarogonas:
Consensus Control for Leader-follower Multi-agent Systems under Prescribed Performance Guarantees. - Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer:
Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms. - Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger:
Routing Networks and the Challenges of Modular and Compositional Computation. - Abdullah Almethen, Othon Michail, Igor Potapov:
Pushing Lines Helps: Efficient Universal Centralised Transformations for Programmable Matter. - Baris Nakiboglu:
A Simple Derivation of the Refined SPB for the Constant Composition Codes. - Nicholas I. Kolkin, Jason Salavon, Greg Shakhnarovich:
Style Transfer by Relaxed Optimal Transport and Self-Similarity. - Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli:
Graph Matching Networks for Learning the Similarity of Graph Structured Objects. - Yan Ke, Min-Qing Zhang, Jia Liu, Tingting Su, Xiaoyuan Yang:
Fully Homomorphic Encryption Encapsulated Difference Expansion for Reversible Data hiding in Encrypted Domain. - Anna Frühstück, Ibraheem Alhashim, Peter Wonka:
TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures. - Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose:
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. - Lorenzo De Stefani:
The I/O complexity of hybrid algorithms for square matrix multiplication. - Dirk van Bokkem, Rico Hageman, Gijs Koning, Luat Nguyen, Naqib Zarin:
Self-Sovereign Identity Solutions: The Necessity of Blockchain Technology. - Jan-Willem Goossens, Yves Jaouën, Hartmut Hafermann:
Experimental Demonstration of Data Transmission Based on the Exact Inverse Periodic Nonlinear Fourier Transform. - Vasileios Lefkopoulos, Maryam Kamgarpour:
Using Uncertainty Data in Chance-Constrained Trajectory Planning. - Djalal F. Bendimerad, Huijian Zhang, Ingmar Land, Hartmut Hafermann:
Partially Ordered Statistics Demapping for Multi-Dimensional Modulation Formats. - Nicolas Behr:
Tracelets and Tracelet Analysis Of Compositional Rewriting Systems. 44-71 - Rong Ge, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli:
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure. - Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law:
SEALion: a Framework for Neural Network Inference on Encrypted Data. - Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein:
Adversarial Training for Free! - Xiyang Hu, Cynthia Rudin, Margo I. Seltzer:
Optimal Sparse Decision Trees. - Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le:
Unsupervised Data Augmentation. - Tristan Garrec, Marco Scarsini:
When Sally Found Harry: A Stochastic Search Game. - Utkarsh Porwal:
Learning Image Information for eCommerce Queries. - Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. - Allison Koenecke, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. - Amal A. Alahmadi, Mohamed O. I. Musa, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Resource Allocation in Vehicular Cloud based Architecture. - Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis. - J. Aaron Pendergrass, Nathan Hull, John Clemens, Sarah Helble, Mark Thober, Kathleen McGill, Machon Gregory, Peter A. Loscocco:
Technical Report: A Toolkit for Runtime Detection of Userspace Implants. - Gabriel Dulac-Arnold, Daniel J. Mankowitz, Todd Hester:
Challenges of Real-World Reinforcement Learning. - Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz:
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning. - Vladimir P. Gerdt, Daniel Robertz:
Algorithmic approach to strong consistency analysis of finite difference approximations to PDE systems. - Mike Thelwall:
Female citation impact superiority 1996-2018 in six out of seven English-speaking nations. - Wolfgang Globke, Raul Quiroga-Barranco:
Information geometry and asymptotic geodesics on the space of normal distributions. - Tarun Chitra, Monica Quaintance, Stuart Haber, Will Martino:
Agent-Based Simulations of Blockchain protocols illustrated via Kadena's Chainweb. - Florian Lonsing, Uwe Egly:
QRATPre+: Effective QBF Preprocessing via Strong Redundancy Properties. - Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang:
Recurrent Neural Networks in the Eye of Differential Equations. - Shekhar Jain, Yi Zhang, Luiz A. DaSilva:
LTE Standard-Compliant D2D Communication: Software-defined Radio Implementation and Evaluation. - Jihun Oh, Kyunghyun Cho, Joan Bruna:
Advancing GraphSAGE with A Data-Driven Node Sampling. - Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley:
Learning to Find Common Objects Across Image Collections. - Arthur de Oliveira, Guilherme Scabin Vicinansa, Paulo da Silva, Bruno Augusto Angélico:
Frontal Plane Bipedal Zero Dynamics Control. - Jiaming Liu, Chihao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang:
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation. - Cristian Daniel Alecsa, Titus Pinta, Imre Boros:
New optimization algorithms for neural network training using operator splitting techniques. - Cheol Young Park, Shou Matsumoto, Jubyung Ha, YoungWon Park:
Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud. - Kisuk Lee, Nicholas L. Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung:
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy. - Gregory B. Rehm, Brooks T. Kuhn, Jimmy Nguyen, Nicholas R. Anderson, Chen-Nee Chuah, Jason Y. Adams:
Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode. - Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux:
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition. - Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong-Van Lehmann, Andreas Wicki, Fernando Pérez-Cruz, Julia E. Vogt, Gunnar Rätsch:
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. - Kensei Nakai, Hirofumi Nonaka, Asahi Hentona, Yuki Kanai, Takeshi Sakumoto, Shotaro Kataoka, Elisa Claire Alemán Carreón, Toru Hiraoka:
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks. - Jiazhen Zhou, Li Jin, Dengfeng Sun:
Resilient UAV Traffic Congestion Control using Fluid Queuing Models. - Nicole Eikmeier, David F. Gleich:
Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling. - Hui Fen Tan, Kuangyan Song, Madeilene Udell, Yiming Sun, Yujia Zhang:
Why should you trust my interpretation? Understanding uncertainty in LIME predictions. - Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Study on Action Detection in the Wild. - Florian Tramèr, Dan Boneh:
Adversarial Training and Robustness for Multiple Perturbations. - Austin Slakey, Daniel Salas, Yoni Schamroth:
Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine. - He Chen, Gregory S. Chirikjian:
Curvature: A signature for Action Recognition in Video Sequences. - Naman Shah, Siddharth Srivastava:
Anytime Integrated Task and Motion Policies for Stochastic Environments. - Zezhong Zhang, Seung-Woo Ko, Rui Wang, Kaibin Huang:
Realizing Multi-Point Vehicular Positioning via Millimeter-wave Transmission. - Minghui Yang, Lulu Zhang, Keqin Feng:
On the 2-adic complexity of a class of binary sequences of period $4p$ with optimal autocorrelation magnitude. - Sanghyun Yi, Rahul Goel, Chandra Khatri, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel, Dilek Hakkani-Tür:
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators. - Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu:
A self-attention based deep learning method for lesion attribute detection from CT reports. - Cameron Lai, Markus Luczak-Rösch:
You can't see what you can't see: Experimental evidence for how much relevant information may be missed due to Google's Web search personalisation. - Mohammad Salehi, Ekram Hossain:
On the Effect of Temporal Correlation on Joint Success Probability and Distribution of Number of Interferers in Mobile UAV Networks. - Shanfeng Huang, Bojie Lv, Rui Wang:
Online User Scheduling and Resource Allocation for Mobile-Edge Computing Systems. - Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu:
Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People. - Xiao Lu, Ekram Hossain, Hai Jiang, Guangxia Li:
On Coverage Probability With Type-II HARQ in Large Uplink Cellular Networks. - Zhe Liu, Chuanzhe Suo, Shunbo Zhou, Wen Chen, Hesheng Wang, Yun-Hui Liu:
Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles. - Kazi Ishfaq Ahmed, Ekram Hossain:
A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks. - Harald Steck:
Collaborative Filtering via High-Dimensional Regression. - Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu, Kai Wang, Dijun Liu:
Deep Learning Based Robot for Automatically Picking up Garbage on the Grass. - Jinqiang Bai, Zhaoxiang Liu, Yimin Lin, Ye Li, Shiguo Lian, Dijun Liu:
Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People. - Yifeng Jiang, Tom Van Wouwe, Friedl De Groote, C. Karen Liu:
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation. - Xue Chen, Eric Price:
Estimating the Frequency of a Clustered Signal. - Songtao Feng, Jing Yang:
Age-Optimal Transmission of Rateless Codes in an Erasure Channel. - John Sarracino, Shraddha Barke, Nadia Polikarpova, Sorin Lerner:
Targeted Synthesis for Programming with Data Invariants. - Arkadev Chattopadhyay, Yuval Filmus, Sajin Koroth, Or Meir, Toniann Pitassi:
Query-to-communication lifting for BPP using inner product. - Alex Belkin, Nethanel Gelernter, Israel Cidon:
The Risks of WebGL: Analysis, Evaluation and Detection. - Dong Wang, Yuan Yuan, Qi Wang:
Cross-Modal Message Passing for Two-stream Fusion. - Wei Gao, Russ Tedrake:
SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction. - Jianan Zhu, Solmaz S. Kia:
Cooperative Localization under Limited Connectivity. - Wojciech Czerwinski, Wojciech Nadara, Marcin Pilipczuk:
Improved bounds for the excluded-minor approximation of treedepth. - Masanari Kimura, Masayuki Tanaka:
Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. - Yuan Yuan, Dong Wang, Qi Wang:
Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction. - Yuan Yuan, Dong Wang, Qi Wang:
Memory-Augmented Temporal Dynamic Learning for Action Recognition. - Bhaskar Pratim Mukhoty, Vikas Maurya, Sandeep Kumar Shukla:
Sequence to sequence deep learning models for solar irradiation forecasting. - Dong Wang, Yuan Yuan, Qi Wang:
Early Action Prediction with Generative Adversarial Networks. - Nir Douer, Joachim Meyer:
Theoretical, Measured and Subjective Responsibility in Aided Decision Making. - Kaan Genç, Jake Roemer, Yufan Xu, Michael D. Bond:
Dependence-Aware, Unbounded Sound Predictive Race Detection. - Pedro García López, Alberto Montresor, Anwitaman Datta:
Please, do not decentralize the Internet with (permissionless) blockchains! - Francesco Crecchi, Davide Bacciu, Battista Biggio:
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction. - Amjad Ibrahim, Simon Rehwald, Alexander Pretschner:
Efficiently Checking Actual Causality with SAT Solving. - Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian:
Deep Learning-based Face Pose Recovery. - Mohamed A. Alrshah, Mohamed A. Al-Moqri, Mohamed Othman:
Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks. - Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang:
Graph Convolutional Networks with EigenPooling. - Ghizlane Mountaser, Maliheh Mahlouji, Toktam Mahmoodi:
Latency Bounds of Packet-Based Fronthaul for Cloud-RAN with Functionality Split. - Ludwig Staiger:
On the incomputability of computable dimension. - Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering using Dual Autoencoder Network. - Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama:
A scalable saliency-based Feature selection method with instance level information. - Oscar Delgado-Mohatar, Julian Fiérrez, Ruben Tolosana, Rubén Vera-Rodríguez:
Biometric Template Storage with Blockchain: A First Look into Cost and Performance Tradeoffs. - Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Surprising Effectiveness of Few-Image Unsupervised Feature Learning. - Omar Cheikhrouhou, Anis Koubaa:
BlockLoc: Secure Localization in the Internet-of-Things using Blockchain. - Chien-Feng Liao, Yu Tsao, Xugang Lu, Hisashi Kawai:
Incorporating Symbolic Sequential Modeling for Speech Enhancement. - Seungjoon Lee, Hyungbo Shim:
Distributed Algorithm for Economic Dispatch Problem with Separable Losses. - Zhennan Wang, Wenbin Zou, Chen Xu:
PR Product: A Substitute for Inner Product in Neural Networks. - Delphine Poux, Benjamin Allaert, José Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba:
Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation. - Cheng Chen, Dushyantha A. Basnayaka, Ardimas Andi Purwita, Xiping Wu, Harald Haas:
Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink. - Chunmei Dong, Yeting Li, Haiming Chen:
Learning Restricted Regular Expressions with Interleaving. - Erisa Karafili, Linna Wang, Emil C. Lupu:
An Argumentation-Based Approach to Assist in the Investigation and Attribution of Cyber-Attacks. - Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar:
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. - Shuhan Tan, Jiening Jiao, Wei-Shi Zheng:
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration. - Xianbin Wang, Huazi Zhang, Rong Li, Jiajie Tong, Yiqun Ge, Jun Wang:
On the Construction of $G_N$-coset Codes for Parallel Decoding. - Amy Tabb, Germán A. Holguín, Rachel Naegele:
Using cameras for precise measurement of two-dimensional plant features. - Yu Li:
Case Study of the Proof of Cook's theorem - Interpretation of A(w). - Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon:
Test Selection for Deep Learning Systems. - Marjan Alirezaie, Martin Längkvist, Michael Sioutis, Amy Loutfi:
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation. - James Bocinsky, Connor H. McCurley, Daniel Shats, Alina Zare:
Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator. - Samet Atdag, Haluk O. Bingol:
Computational Models for Commercial Advertisements in Social Networks. - Florian Steinberg, Laurent Théry, Holger Thies:
Quantitative continuity and computable analysis in Coq. - Andrey Alekseev, Anatoly Bobe:
GaborNet: Gabor filters with learnable parameters in deep convolutional neural networks. - Zhujun Zhang:
A Note on Computational Complexity of Dou Shou Qi. - Qian Yu, Amir Salman Avestimehr:
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. - Yachen Tang, Chee-Wooi Ten, Kevin P. Schneider:
Inference of Tampered Smart Meters with Validations from Feeder-Level Power Injections. - Prayitno, Anwar Sukito Ardjo, Liliek Triyono, Bambang Kuswanto:
The Virtual Machinery Workshop: an Immersive 360 degree Web-Based Vocational Education Learning. - Morad Behandish, Amir M. Mirzendehdel, Saigopal Nelaturi:
A Classification of Topological Discrepancies in Additive Manufacturing. - Yoshiki Horii, Hirofumi Nonaka, Elisa Claire Alemán Carreón, Hiroki Horino, Toru Hiraoka:
Topic Classification Method for Analyzing Effect of eWOM on Consumer Game Sales. - Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka:
Analysis of Chinese Tourists in Japan by Text Mining of a Hotel Portal Site. - Divya Gopinath, Ankur Taly, Hayes Converse, Corina S. Pasareanu:
Finding Invariants in Deep Neural Networks. - Noreddine Gherabi, Mohamed Bahaj:
A new algorithm for shape matching and pattern recognition using dynamic programming. - Saeed M. Bamatraf, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim Aboalsamh:
Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents. - Morteza Haghir Chehreghani:
Nonparametric feature extraction based on Minimax distance. - Ahmed Fadhil:
Different Stages of Wearable Health Tracking Adoption & Abandonment: A Survey Study and Analysis. - Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh:
An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks. - Daniel Cunnington, Graham White, Geeth de Mel:
Synthetic Ground Truth Generation for Evaluating Generative Policy Models. - Emad-ul-Haq Qazi, Muhammad Hussain, Hatim A. Aboalsamh, Ihsan Ullah:
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models. - Soheil Esmaeilzadeh, Amir Salehi, Gill Hetz, Feyisayo Olalotiti-lawal, Hamed Darabi, David Castineira:
A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs. - Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. - Soheil Mehrabkhani:
Clustering Optimization: Finding the Number and Centroids of Clusters by a Fourier-based Algorithm. - Xingwei Zhong, Kui Cai, Pingping Chen, Zhen Mei:
Design of Protograph Codes for Additive White Symmetric Alpha-Stable Noise Channels. - Durdane Kocacoban, James Cussens:
Online Causal Structure Learning in the Presence of Latent Variables. - Leonard Heilig, Robert Stahlbock, Stefan Voß:
From Digitalization to Data-Driven Decision Making in Container Terminals. - Kacper Kielak:
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning. - Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko:
English Broadcast News Speech Recognition by Humans and Machines. - Gauthier Gidel, Francis R. Bach, Simon Lacoste-Julien:
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks. - Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Francesco Moramarco, Jack Flann, Nils Y. Hammerla:
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors. - Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian:
Handwritten Chinese Font Generation with Collaborative Stroke Refinement. - Sami S. Brandt, Hanno Ackermann:
Non-Rigid Structure-From-Motion by Rank-One Basis Shapes. - David Owen, Ping-Lin Chang:
Detecting Reflections by Combining Semantic and Instance Segmentation. - Tim Pfeifer, Peter Protzel:
Incrementally Learned Mixture Models for GNSS Localization. - Pablo Samuel Castro:
Performing Structured Improvisations with pre-trained Deep Learning Models. - Shangbin Wu, Xiaoqing Zhang:
A Low-Complexity Antenna-Layout-Aware Spatial Covariance Matrix Estimation Method. - Yuxiang Wu, Zehua Cheng, Zhenghua Xu, Weiyang Wang:
Segmentation is All You Need. - Minjeong Kim, Yujin Kwon, Yongdae Kim:
Is Stellar As Secure As You Think? - Youngjin Kim:
A supervised-learning-based strategy for optimal demand response of an HVAC System. - Oleh O. Dmytrenko, Dmitry V. Lande, Oleh V. Andriichuk:
Method for Searching of an Optimal Scenario of Impact in Cognitive Maps during Information Operations Recognition. - Bernd Gärtner, Ahad N. Zehmakan:
Phase Transition in Democratic Opinion Dynamics. - Alex Labach, Hojjat Salehinejad, Shahrokh Valaee:
Survey of Dropout Methods for Deep Neural Networks. - Nello Cristianini, Teresa Scantamburlo:
On Social Machines for Algorithmic Regulation. - Alberto Dalla Libera, Ruggero Carli:
A novel geometrically inspired polynomial kernel for robot inverse dynamics. - Francesco Ciraulo, Michele Contente:
Overlap Algebras: a constructive look at complete Boolean algebras. - Francisco Vargas, Kamen Brestnichki, Nils Hammerla:
Model Comparison for Semantic Grouping. - Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson, Julian Gaal, Amy Loutfi, Luc De Raedt, Deniz Yuret, Alessandro Saffiotti:
Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations. - Chih-Yi Chiu, Sarawut Markchit:
Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets. - Cyril Grunspan, Ricardo Pérez-Marco:
Selfish Mining in Ethereum. - Gerard Serra, David Miralles:
Coevo: a collaborative design platform with artificial agents. - Xin Du, Lei Sun, Wouter Duivesteijn, Alexander G. Nikolaev, Mykola Pechenizkiy:
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data. - Eduard Kamburjan:
Behavioral Program Logic and LAGC Semantics without Continuations (Technical Report). - Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang:
Learning Fair Representations via an Adversarial Framework. - Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan B. Ploner, Andreas K. Maier:
PYRO-NN: Python Reconstruction Operators in Neural Networks. - Maarten Sukel, Stevan Rudinac, Marcel Worring:
Multimodal Classification of Urban Micro-Events. - Kavita Kumari, Murtuza Jadliwala, Anindya Maiti, Mohammad Hossein Manshaei:
Analyzing Defense Strategies Against Mobile Information Leakages: A Game-Theoretic Approach. - André Peter Kelm, Vijesh Soorya Rao, Udo Zölzer:
Object Contour and Edge Detection with RefineContourNet. - Tom de Jong, Jaap van Oosten:
The Sierpinski Object in the Scott Realizability Topos. - Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu:
The Role of User Profile for Fake News Detection. - Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. - Krishnendu Chatterjee, Raimundo Saona, Bruno Ziliotto:
The Complexity of POMDPs with Long-run Average Objectives. - Yingjing Lu:
The Level Weighted Structural Similarity Loss: A Step Away from the MSE. - Razan N. Jaber, Ragaad AlTarawneh, Shah Rukh Humayoun:
Characterizing Pairs Collaboration in a Mobile-equipped Shared-Wall Display Supported Collaborative Setup. - Nagdev Amruthnath, Tarun Gupta:
Factor Analysis in Fault Diagnostics Using Random Forest. - Sayan Bandyapadhyay, Saeed Mehrabi:
Constrained Orthogonal Segment Stabbing. - Swanand Kadhe, Onur Ozan Koyluoglu, Kannan Ramchandran:
Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers. - Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues, Markus Müller, Alex Waibel:
Very Deep Self-Attention Networks for End-to-End Speech Recognition. - Chen Zhao, Jiaqi Yang, Yang Xiao, Zhiguo Cao:
Comparative evaluation of 2D feature correspondence selection algorithms. - Ido Tal, Henry D. Pfister, Arman Fazeli, Alexander Vardy:
Polar Codes for the Deletion Channel: Weak and Strong Polarization. - Ali Yekkehkhany, Ebrahim Arian, Mohammad Hassan Hajiesmaili, Rakesh Nagi:
Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits. - MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh:
Categorical Feature Compression via Submodular Optimization. - Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hlozek:
RAPID: Early Classification of Explosive Transients using Deep Learning. - Collin Burns, Jesse Thomason, Wesley Tansey:
Interpreting Black Box Models with Statistical Guarantees. - Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Solving large Minimum Vertex Cover problems on a quantum annealer. - Andrea Idini:
PAC Learnability of nuclear masses. - Yi Hao, Alon Orlitsky, Ananda Theertha Suresh, Yihong Wu:
Data Amplification: A Unified and Competitive Approach to Property Estimation. - Aneel Tanwani, Stephan Trenn:
Detectability and Observer Design for Switched Differential Algebraic Equations. - Kuldeep Singh Rajput, Sandi Wibowo, Chen Hao, Maulik Majmudar:
On Arrhythmia Detection by Deep Learning and Multidimensional Representation. - Zhiguo Yang, Suchuan Dong:
A Roadmap for Discretely Energy-Stable Schemes for Dissipative Systems Based on a Generalized Auxiliary Variable with Guaranteed Positivity. - Daniil Ryabko:
Asymptotic nonparametric statistical analysis of stationary time series. - Zhipeng Wang, David W. Scott:
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications. - Yingkai Li, Yining Wang, Yuan Zhou:
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. - Gitta Kutyniok, Philipp Petersen, Mones Raslan, Reinhold Schneider:
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs. - Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara, Edward Walczak, Keenan Moore, Heather Kaluzniak, Joel Rosenberg, Paul Blake, Zachary Rengel, Makinna Oestreich, Joshua Dean, Michael Tradewell, Aneri Shah, Resha Tejpaul, Zachary Edgerton, Matthew Peterson, Shaneabbas Raza, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher Weight:
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes. - Jordan Awan, Aleksandra B. Slavkovic:
Differentially Private Inference for Binomial Data. - (Withdrawn) Perturbative estimation of stochastic gradients.
- Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun:
Sparse Tensor Additive Regression. - Arya Mazumdar, Soumyabrata Pal:
Semisupervised Clustering by Queries and Locally Encodable Source Coding. - Sudhir K. Routray, Habib Mohammed Hussein:
Satellite Based IoT Networks for Emerging Applications. - Yaniv Shulman:
Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models. - Borislav Ikonomov, Michael U. Gutmann:
Robust Optimisation Monte Carlo. - Leyang Xue, Peng Zhang, An Zeng:
Enhancing the long-term performance of recommender system. - Pascal Koiran, Mateusz Skomra:
Intersection multiplicity of a sparse curve and a low-degree curve. - Kolja Thormann, Marcus Baum:
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance. - Hieu-Thi Luong, Xin Wang, Junichi Yamagishi, Nobuyuki Nishizawa:
Training Multi-Speaker Neural Text-to-Speech Systems using Speaker-Imbalanced Speech Corpora. - Steven A. Frank:
Simple unity among the fundamental equations of science. - Benjamin Guedj, Juliette Rengot:
Non-linear aggregation of filters to improve image denoising. - Martin Hangaard Hansen, José A. Garrido Torres, Paul C. Jennings, Ziyun Wang, Jacob R. Boes, Osman G. Mamun, Thomas Bligaard:
An Atomistic Machine Learning Package for Surface Science and Catalysis. - Flavio Maschietti, Paul de Kerret, David Gesbert:
Exploring the Trade-Off between Privacy and Coordination in Millimeter Wave Spectrum Sharing. - Kevin J. Kircher, K. Max Zhang:
Convexity and monotonicity in nonlinear optimal control under uncertainty. - Joshua Peeples, Matthew Cook, Daniel Suen, Alina Zare, James Keller:
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation. - Karun Adusumilli, Friedrich Geiecke, Claudio Schilter:
Dynamically optimal treatment allocation using Reinforcement Learning. - Benjamin Letham, Eytan Bakshy:
Bayesian Optimization for Policy Search via Online-Offline Experimentation. - Raban Iten, Oliver Reardon-Smith, Luca Mondada, Ethan Redmond, Ravjot Singh Kohli, Roger Colbeck:
Introduction to UniversalQCompiler. - Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya:
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. - Eugene Laksana, Melissa Aczon, Long Van Ho, Cameron Carlin, David R. Ledbetter, Randall C. Wetzel:
The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks. - Amro F. Alasta, Abdulrazag Algamudi, Fatma Almesrati, Mustapha Meftah, Rami Qahwaji:
Filling Factors of Sunspots in SODISM Images. - Nikos Kargas, Nicholas D. Sidiropoulos:
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. - Camilo Valencia, Juan Gómez, Nicolás Guarín-Zapata:
A general-purpose element-based approach to compute dispersion relations in periodic materials with existing finite element codes. - Roberto Mínguez, Víctor Casero-Alonso:
On the convergence of cutting-plane methods for robust optimization with ellipsoidal uncertainty sets. - Friedrich Eisenbrand, Christoph Hunkenschröder, Kim-Manuel Klein, Martin Koutecký, Asaf Levin, Shmuel Onn:
An Algorithmic Theory of Integer Programming. - Erfan Khaniki:
New relations and separations of conjectures about incompleteness in the finite domain. - Fengxiang He, Tongliang Liu, Dacheng Tao:
Why ResNet Works? Residuals Generalize. - (Withdrawn) UAFS: Uncertainty-Aware Feature Selection for Problems with Missing Data.
- Yuanqiang Zhou, Dewei Li, Yugeng Xi, Zhongxue Gan:
Synthesis of model predictive control based on data-driven learning. - Davide Viviano, Jelena Bradic:
Synthetic learner: model-free inference on treatments over time. - Fengjiao Liu, A. Stephen Morse:
When Does a Multi-channel Linear System Have a Structurally Fixed Spectrum? - Benjamin J. Fehrman, Benjamin Gess, Arnulf Jentzen:
Convergence rates for the stochastic gradient descent method for non-convex objective functions. - Soumi Maiti, Michael I. Mandel:
Speech denoising by parametric resynthesis. - Bubacarr Bah, Jannis Kurtz, Oliver Schaudt:
Discrete Optimization Methods for Group Model Selection in Compressed Sensing. - Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christian Wald, Christoph Kolbitsch:
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data. - James Anderson, John C. Doyle, Steven H. Low, Nikolai Matni:
System Level Synthesis. - Karel Mundnich, Brandon M. Booth, Benjamin Girault, Shrikanth S. Narayanan:
Generating Labels for Regression of Subjective Constructs using Triplet Embeddings. - Chiwoo Park, Peihua Qiu:
Sequential Adaptive Design for Jump Regression Estimation. - Surabhi Datta, Elmer V. Bernstam, Kirk Roberts:
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes. - Igor Pak:
Combinatorial inequalities. - Jonathan M. Baker, Casey Duckering, Alexander Hoover, Frederic T. Chong:
Decomposing Quantum Generalized Toffoli with an Arbitrary Number of Ancilla. - Robin Kaarsgaard:
Inversion, Iteration, and the Art of Dual Wielding. - Emilien Dupont, Arnaud Doucet, Yee Whye Teh:
Augmented Neural ODEs. - Volodymyr Yu. Sokolov:
Comparison of Possible Approaches for the Development of Low-Budget Spectrum Analyzers for Sensor Networks in the Range of 2.4-2.5 GHz. - Shawn X. Cui, Kevin T. Tian, Jennifer F. Vasquez, Zhenghan Wang, Helen M. Wong:
The Search For Leakage-free Entangling Fibonacci Braiding Gates. - Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou:
Batched Multi-armed Bandits Problem. - Asa Eagle, Takumi Kato, Yuichiro Minato:
Solving tiling puzzles with quantum annealing. - Markus Heydenreich, Christian Hirsch:
A spatial small-world graph arising from activity-based reinforcement. - Kyung-Su Kim, Sae-Young Chung:
Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network. - Navid Azizan Ruhi, Babak Hassibi:
A Stochastic Interpretation of Stochastic Mirror Descent: Risk-Sensitive Optimality. - Mehrdad Showkatbakhsh, Yasser Shoukry, Suhas N. Diggavi, Paulo Tabuada:
Securing State Estimation Under Sensor and Actuator Attacks: Theory and Design. - Christoph Koutschan, Elaine Wong:
Exact Lower Bounds for Monochromatic Schur Triples and Generalizations. - Willem Esterhuizen, Tim Aschenbruck, Stefan Streif:
On Maximal Robust Positively Invariant Sets in Constrained Nonlinear Systems. - Valery S. Shchesnovich:
On the classical complexity of quantum interference of indistinguishable bosons. - Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas:
Generalized Variational Inference. - Byoungwook Jang, Alfred O. Hero III:
Minimum Volume Topic Modeling. - Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak:
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs). - Mateusz Staniak, Przemyslaw Biecek:
The Landscape of R Packages for Automated Exploratory Data Analysis. - Joël Bény, Jonas Latt:
Efficient LBM on GPUs for dense moving objects using immersed boundary condition. - Giulia Meuli, Mathias Soeken, Martin Roetteler, Nikolaj S. Bjørner, Giovanni De Micheli:
Reversible Pebbling Game for Quantum Memory Management. - Thai-Son Nguyen, Sebastian Stüker, Alex Waibel:
Learning Shared Encoding Representation for End-to-End Speech Recognition Models. - Xiao-Ming Zhang, Man-Hong Yung:
Low-Depth Optical Neural Networks. - Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani:
The Green Choice: Learning and Influencing Human Decisions on Shared Roads. - Brian Coyle, Daniel Mills, Vincent Danos, Elham Kashefi:
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine. - Maria Chiara Angelini, Federico Ricci-Tersenghi:
Monte Carlo algorithms are very effective in finding the largest independent set in sparse random graphs. - Emily E. Storey, Amr S. Helmy:
Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology. - Jesper Sören Dramsch, Gustavo Corte, Hamed Amini, Colin MacBeth, Mikael Lüthje:
Including Physics in Deep Learning - An example from 4D seismic pressure saturation inversion. - Kenneth F. Caluya, Abhishek Halder:
Finite Horizon Density Control for Static State Feedback Linearizable Systems. - Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear quantum algorithms for training linear and kernel-based classifiers. - Jeremias Knoblauch:
Robust Deep Gaussian Processes. - Qi Wang:
Steiner systems S(2, 4, 2m) for m ≡ 0 (mod 4) supported by a family of extended cyclic codes. - Jonathan W. Siegel, Jinchao Xu:
On the Approximation Properties of Neural Networks. - Pavel Paták, Martin Tancer:
Embeddings of k-complexes into 2k-manifolds. - Giacomo Baggio, Virginia Rutten, Guillaume Hennequin, Sandro Zampieri:
Efficient Communication over Complex Dynamical Networks. - Guillaume P. Dehaene:
A deterministic and computable Bernstein-von Mises theorem. - Sandro Sozzo:
Explaining versus Describing Human Decisions. Hilbert Space Structures in Decision Theory. - V. Bouet, Alexander Y. Klimenko:
Graph clustering in industrial networks. - Jozef Kratica, Vladimir Filipovic, Dragan Matic, Aleksandar Kartelj:
An Integer Linear Programming Formulation for the Convex Dominating Set Problems. - Michael Volpp, Lukas P. Fröhlich, Andreas Doerr, Frank Hutter, Christian Daniel:
Meta-Learning Acquisition Functions for Bayesian Optimization. - Pavel Panteleev, Gleb Kalachev:
Degenerate Quantum LDPC Codes With Good Finite Length Performance. - Kondwani Magamba, John A. Ryan:
Enumeration of irreducible and extended irreducible Goppa codes. - Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler:
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning. - Oliver J. Maclaren, Ruanui Nicholson:
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems. - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Deep Learning-based Universal Beamformer for Ultrasound Imaging. - Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo:
Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning. - Amirata Ghorbani, James Y. Zou:
Data Shapley: Equitable Valuation of Data for Machine Learning. - Igor Koval, Stéphanie Allassonnière, Stanley Durrleman:
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. - Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette:
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. - Samuel Fiorini, Tony Huynh, Gwenaël Joret, Carole Muller:
Unavoidable minors for graphs with large 𝓁p-dimension. - Vincenzo Matta, Augusto Santos, Ali H. Sayed:
Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity? - Hector E. Romero, Ning Ma, Guy J. Brown, Amy V. Beeston, Madina Hasan:
Deep Learning Features for Robust Detection of Acoustic Events in Sleep-Disordered Breathing. - Ning Ma, Tobias May, Guy J. Brown:
Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments. - Ning Ma, José A. González, Guy J. Brown:
Robust Binaural Localization of a Target Sound Source by Combining Spectral Source Models and Deep Neural Networks. - Melpomeni Dimopoulou, Marc Antonini, Pascal Barbry, Raja Appuswamy:
A biologically constrained encoding solution for long-term storage of images onto synthetic DNA. - Rok Cestnik, Markus Abel:
Inferring the dynamics of oscillatory systems using recurrent neural networks. - Lucas Benigni, Sandrine Péché:
Eigenvalue distribution of nonlinear models of random matrices. - Sean U. N. Wood, Jean Rouat:
Unsupervised Low Latency Speech Enhancement with RT-GCC-NMF. - Jan-Christian Hütter, Cheng Mao, Philippe Rigollet, Elina Robeva:
Estimation of Monge Matrices. - (Withdrawn) Parameter estimation for integer-valued Gibbs distributions.
- Milad Ganjalizadeh, Piergiuseppe Di Marco:
The Derivation of Failure Event Correlation Based on Shadowing Cross-Correlation. - Xin Zhang, Zhengyuan Zhu:
Spatial CUSUM for Signal Region Detection. - Qiaoling Zhang, Fehmi Cirak:
Manifold-based isogeometric analysis basis functions with prescribed sharp features. - Igor G. Vladimirov, Ian R. Petersen, Matthew R. James:
A quantum Karhunen-Loeve expansion and quadratic-exponential functionals for linear quantum stochastic systems. - Polina Bombina, Brendan P. W. Ames:
Convex optimization for the densest subgraph and densest submatrix problems. - Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde:
Jasper: An End-to-End Convolutional Neural Acoustic Model. - Ahmed El Alaoui, Andrea Montanari:
On the computational tractability of statistical estimation on amenable graphs. - Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions. - Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang:
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis. - Abram Magner, Wojciech Szpankowski:
Goodness of Fit Testing for Dynamic Networks. - Tathagata Paul, Tanweer Ahmed, Krishna Kanhaiya Tiwari, Chetan Singh Thakur, Arindam Ghosh:
A high-performance MoS2 synaptic device with floating gate engineering for Neuromorphic Computing. - Luca Sanguinetti, Emil Björnson, Jakob Hoydis:
Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination. - Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Piotr Bielak, Przemyslaw Kazienko, Nitesh V. Chawla:
Incremental embedding for temporal networks. - Huaxing Xu, Shaohua Wang, Yang Huang, Changlei Wang:
Quantum Key Distribution System Immune to Polarization-Induced Signal Fading with Quarter-Wave Plate Reflector-Michelson Interferometers. - Sidhanth Mohanty, Ryan O'Donnell:
X-Ramanujan Graphs. - Michael P. Evans, Simon H. Tindemans, David Angeli, Goran Strbac:
Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices. - (Withdrawn) A Novel Big Data Analytics Framework to Predict the Risk of Opioid Use Disorder.
- Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps:
A Bayesian Theory of Change Detection in Statistically Periodic Random Processes. - Mahesh Chandra Mukkamala, Peter Ochs, Thomas Pock, Shoham Sabach:
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization. - Jakub Marecek, Andrew J. Parkes:
Semidefinite Programming in Timetabling and Mutual-Exclusion Scheduling. - Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou:
Precision Matrix Estimation with Noisy and Missing Data. - John C. Baez, John D. Foley, Joe Moeller:
Network Models from Petri Nets with Catalysts. - Masayuki Miyamoto, Masakazu Iwamura, Koichi Kise:
A Quantum Algorithm for Minimum Steiner Tree Problem. - Suwon Shon, Hao Tang, James R. Glass:
VoiceID Loss: Speech Enhancement for Speaker Verification. - Prateek Bansal, Rico Krueger, Michel Bierlaire, Ricardo A. Daziano, Taha Hossein Rashidi:
Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations. - Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio:
Speech Model Pre-training for End-to-End Spoken Language Understanding. - Kenji Kawaguchi, Leslie Pack Kaelbling:
Every Local Minimum is a Global Minimum of an Induced Model. - Sandy Engelhardt, Simon Sauerzapf, Bernhard Preim, Matthias Karck, Ivo Wolf, Raffaele De Simone:
Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds. - A. Asensio Ramos, C. J. Díaz Baso:
Stokes Inversion based on Convolutional Neural Networks. - Luke Postle:
Linear-Time and Efficient Distributed Algorithms for List Coloring Graphs on Surfaces. - Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu:
Time Domain Audio Visual Speech Separation. - Tamal K. Dey, Cheng Xin:
Generalized Persistence Algorithm for Decomposing Multi-parameter Persistence Modules. - Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu:
Improved Speaker-Dependent Separation for CHiME-5 Challenge. - Alexander Greaves-Tunnell, Zaïd Harchaoui:
A Statistical Investigation of Long Memory in Language and Music. - Guanyang Wang:
A Fast Scheme for the Uniform Sampling of Binary Matrices with Fixed Margins. - Chao Huang, Haojie Liu, Tong Chen, Shiliang Pu, Qiu Shen, Zhan Ma:
Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization. - Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl:
Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition. - Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu:
Multi-View Matrix Completion for Multi-Label Image Classification. - Lan Luo, Zhi Ma, Dongdai Lin:
Two New Families of Quantum Synchronizable Codes. - Shabab Bazrafkan, Vincent Van Nieuwenhove, Joris Soons, Jan De Beenhouwer, Jan Sijbers:
Deep Learning Based Computed Tomography Whys and Wherefores. - Mikhail A. Langovoy:
Generalized active learning and design of statistical experiments for manifold-valued data. - Bence Ágg, Andrea Császár, Máté Szalay-Beko, Dániel V. Veres, Réka Mizsei, Péter Ferdinandy, Péter Csermely, István A. Kovács:
The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks. - Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan:
A Generalization Bound for Online Variational Inference. - Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen:
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. - Luciano Pandolfi:
Controllability properties for equations with memory of fractional type. - Quay Au, Daniel Schalk, Giuseppe Casalicchio, Ramona Schödel, Clemens Stachl, Bernd Bischl:
Component-Wise Boosting of Targets for Multi-Output Prediction. - Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku:
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogram. - Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra:
Early warning in egg production curves from commercial hens: A SVM approach. - Sabri Ghazi, Julie Dugdale, Tarek Khadir:
Modelling Air Pollution Crises Using Multi-agent Simulation. - Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao:
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain. - Monaldo Mastrolilli:
The Complexity of the Ideal Membership Problem and Theta Bodies for Constrained Problems Over the Boolean Domain. - Fatma Altunbulak Aksu, Ipek Tuvay:
On the number of non-G-equivalent minimal abelian codes. - Yong Luo, Yonggang Wen, Dacheng Tao:
Heterogeneous Multi-task Metric Learning across Multiple Domains. - Herbert Buchner, Eike Petersen, Marcus Eger, Philipp Rostalski:
Convolutive Blind Source Separation on Surface EMG Signals for Respiratory Diagnostics and Medical Ventilation Control. - Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu:
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification. - Taichi Uemura:
A General Framework for the Semantics of Type Theory. - Takayuki Kihara, Keng Meng Ng, Arno Pauly:
Enumeration degrees and non-metrizable topology. - Idris Kempf, Paul J. Goulart, Stephen Duncan:
ADMM for Block Circulant Model Predictive Control. - Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik-Manor:
ASAP: Architecture Search, Anneal and Prune. - Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Laura C. Rosella:
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada. - Weisi Guo:
Common Statistical Patterns in Urban Terrorism. - Robert J. N. Baldock, Nicola Marzari:
Bayesian Neural Networks at Finite Temperature. - Monalisa Pal, Sanghamitra Bandyopadhyay, Saugat Bhattacharyya:
A Many Objective Optimization Approach for Transfer Learning in EEG Classification. - Fadi Biadsy, Ron J. Weiss, Pedro J. Moreno, Dimitri Kanvesky, Ye Jia:
Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation. - Michael R. Kellman, Emrah Bostan, Michael Chen, Laura Waller:
Data-Driven Design for Fourier Ptychographic Microscopy. - Stefano Fortunati, Luca Sanguinetti, Maria Sabrina Greco, Fulvio Gini:
Scaling up MIMO radar for target detection. - Manlio De Domenico, Andrea Baronchelli:
The fragility of decentralised trustless socio-technical systems. - Fahrettin Ay, Gökhan Ince, Mustafa E. Kamasak, K. Y. Eksi:
Classification of pulsars with Dirichlet process Gaussian mixture model. - Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto:
Desaturating EUV observations of solar flaring storms. - Ondrej Novotný, Oldrich Plchot, Ondrej Glembek, Lukás Burget:
Factorization of Discriminatively Trained i-vector Extractor for Speaker Recognition. - Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps:
Quickest Event Detection Using Multimodal Data In Nonstationary Environments. - Suwon Shon, Najim Dehak, Douglas A. Reynolds, James R. Glass:
MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation. - Lin Liu, Rajarshi Mukherjee, James M. Robins:
On assumption-free tests and confidence intervals for causal effects estimated by machine learning. - Yuejie Chi, Maxime Ferreira Da Costa:
Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution. - Zhengwei Liu, Jinsong Wu:
Non-commutative Rényi Entropic Uncertainty Principles. - Rui Zhang, Quanyan Zhu:
Consensus-based Distributed Discrete Optimal Transport for Decentralized Resource Matching. - Omar Shehab, Kevin A. Landsman, Yun Seong Nam, Daiwei Zhu, Norbert Matthias Linke, Matthew J. Keesan, Raphael C. Pooser, Christopher R. Monroe:
Toward convergence of effective field theory simulations on digital quantum computers. - Masaki Okawa, Takuya Saito, Naoki Sawada, Hiromitsu Nishizaki:
Audio Classification of Bit-Representation Waveform. - Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
Probability density distillation with generative adversarial networks for high-quality parallel waveform generation. - Raghav Singhal, Saad Lahlou, Rajesh Ranganath:
Kernelized Complete Conditional Stein Discrepancy. - Lihua Lei, Michael I. Jordan:
On the Adaptivity of Stochastic Gradient-Based Optimization. - Daghan Dogan, Pinar Boyraz Baykas:
Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-type Estimation. - Artür Manukyan, Elvan Ceyhan:
Classification of Imbalanced Data with a Geometric Digraph Family. - Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d'Alché-Buc:
Functional Isolation Forest. - Bhusan Chettri, Daniel Stoller, Veronica Morfi, Marco A. Martínez Ramírez, Emmanouil Benetos, Bob L. Sturm:
Ensemble Models for Spoofing Detection in Automatic Speaker Verification. - Selim Arikan, Kiran Varanasi, Didier Stricker:
Surface Defect Classification in Real-Time Using Convolutional Neural Networks. - Nicola De Cao, Ivan Titov, Wilker Aziz:
Block Neural Autoregressive Flow. - Henri Calandra, Serge Gratton, Elisa Riccietti, Xavier Vasseur:
On the approximation of the solution of partial differential equations by artificial neural networks trained by a multilevel Levenberg-Marquardt method. - Maxwell Henderson, Samriddhi Shakya, Shashindra Pradhan, Tristan Cook:
Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits. - Sheng Liu, Mark Cheng, Hayley Brooks, Wayne E. Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda:
Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data. - Felix Voigtländer, Philipp Petersen:
Approximation in Lp(μ) with deep ReLU neural networks. - Calvin Tsay, Michael Baldea:
Learning latent variable dynamic models for integrated production scheduling and control. - Silvia Tozza, Maurizio Falcone:
On the segmentation of astronomical images via level-set methods. - Sean R. B. Bearden, Forrest C. Sheldon, Massimiliano Di Ventra:
Critical branching processes in memcomputing. - Bryan Lim, Stefan Zohren, Stephen J. Roberts:
Enhancing Time Series Momentum Strategies Using Deep Neural Networks. - Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi:
Novel Uncertainty Framework for Deep Learning Ensembles. - Wendy K. Caldwell, Geoffrey Fairchild, Sara Y. Del Valle:
Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set. - Rashmi P, Manoj A, Arun Pachai Kannu:
Cell Discovery in Millimeter Wave Systems: Physical Layer Implementations. - Carlos Fernandez-Lozano, Ruben F. Cuinas, José A. Seoane, Enrique Fernández-Blanco, Julián Dorado, Cristian R. Munteanu:
Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. - Emanuela Fachini, János Körner:
Divergent permutations. - Xiaofei Li, Simon Leglaive, Laurent Girin, Radu Horaud:
Audio-noise Power Spectral Density Estimation Using Long Short-term Memory. - Jorge Llombart, Dayana Ribas, Antonio Miguel, Luis Vicente, Alfonso Ortega, Eduardo Lleida:
Speech Enhancement with Wide Residual Networks in Reverberant Environments. - Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Vladislav Orekhov, Zhong Chen:
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning. - Arno Solin, Manon Kok:
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features. - Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes:
Attraction-Repulsion clustering with applications to fairness. - Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski:
Active Learning for Decision-Making from Imbalanced Observational Data. - Vida Dujmovic, Louis Esperet, Gwenaël Joret, Bartosz Walczak, David R. Wood:
Planar graphs have bounded nonrepetitive chromatic number. - Mohammad Hemmati, Vahid Rashtchi, Ahmad Maleki, Siroos Toofan:
A Configurable Memristor-based Finite Impulse Response Filter. - Arnesh Sen, Kaustav Sen, Jayoti Das:
Ultrasonic Blind Stick for Completely Blind People to Avoid any Kind of Obstacles. - Amin Jalali, Adel Javanmard, Maryam Fazel:
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation. - Yunchao He, Haitong Zhang, Yujun Wang:
RawNet: Fast End-to-End Neural Vocoder. - Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson:
Scanner Invariant Representations for Diffusion MRI Harmonization. - Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Feature Engineering for Mid-Price Prediction with Deep Learning. - Steffen Borgwardt, Charles Viss:
Constructing Clustering Transformations. - Romain Azaïs, Florian Ingels:
The Weight Function in the Subtree Kernel is Decisive. - Massimiliano Todisco, Xin Wang, Ville Vestman, Md. Sahidullah, Héctor Delgado, Andreas Nautsch, Junichi Yamagishi, Nicholas W. D. Evans, Tomi Kinnunen, Kong Aik Lee:
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection. - Shane T. Barratt, Stephen P. Boyd:
Least Squares Auto-Tuning. - Michael Albert, Jinge Li:
Uniquely-Wilf classes. - Chongsheng Cheng, Zhexiong Shang, Zhigang Shen:
CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography. - Preeti Kumari, Sergiy A. Vorobyov, Robert W. Heath Jr.:
Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar. - Heetae Kim, Sang Hoon Lee:
Relational flexibility of network elements based on inconsistent community detection. - Jianqing Fan, Cong Ma, Yiqiao Zhong:
A Selective Overview of Deep Learning. - Jan E. Snellman, János Kertész, Rafael A. Barrio, Kimmo Kaski:
Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games. - Sarod Yatawatta, Lukas De Clercq, Hanno Spreeuw, Faruk Diblen:
A Stochastic LBFGS Algorithm for Radio Interferometric Calibration. - Charlie Nash, Conor Durkan:
Autoregressive Energy Machines. - Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb:
Deep learning as optimal control problems: models and numerical methods. - Paulo Hubert, Linilson Rodrigues Padovese:
A machine learning approach for underwater gas leakage detection. - Johann A. Briffa, Irene Sciriha:
On the Displacement of Eigenvalues when Removing a Twin Vertex. - Alex Olshevsky:
On the Inapproximability of the Discrete Witsenhausen Problem. - Chinmay Hegde, Fritz Keinert, Eric S. Weber:
A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations. - Kamran Kowsari, Rasoul Sali, Marium N. Khan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown:
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks. - Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani, Mirko Pieropan:
Compressed sensing reconstruction using Expectation Propagation. - Alexander L. Young, David B. Dunson:
Efficient Entropy Estimation for Stationary Time Series. - Joseph E. Gaudio, Travis E. Gibson, Anuradha M. Annaswamy, Michael A. Bolender, Eugene Lavretsky:
Connections Between Adaptive Control and Optimization in Machine Learning. - Anand Natarajan, John Wright:
NEEXP in MIP. - Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob D. Biamonte, Sergei Kulik:
Experimental neural network enhanced quantum tomography. - Miguel Couceiro, Jimmy Devillet:
All quasitrivial n-ary semigroups are reducible to semigroups. - Soumik Pal, Yizhe Zhu:
Community Detection in the Sparse Hypergraph Stochastic Block Model. - Chu Wang, Lei Tang, Shujun Bian, Da Zhang, Zuohua Zhang, Yongning Wu:
Reference Product Search. - Kai DeLorenzo, Shelby Kimmel, R. Teal Witter:
Applications of the quantum algorithm for st-connectivity. - Jorge Garza-Vargas, Archit Kulkarni:
The Lanczos Algorithm Under Few Iterations: Concentration and Location of the Ritz Values. - Tomoharu Iwata, Yuki Yamanaka:
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators. - Dmitri A. Ivanov, Leonid Gurvits:
Complexity of full counting statistics of free quantum particles in entangled states. - Jong-Hyeon Park, Myungwoo Oh, Hyung-Min Park:
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition. - Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich:
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension. - Peizhen Xie, Ke Zuo, Yu Zhang, Fangfang Li, Mingzhu Yin, Kai Lu:
Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study. - Stylianos Ioannis Mimilakis, Konstantinos Drossos, Estefanía Cano, Gerald Schuller:
Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation. - Yerlan Amanbek, Gurpreet Singh, Gergina Pencheva, Mary F. Wheeler:
Error indicator for the incompressible Darcy flow problems using Enhanced Velocity Mixed Finite Element Method. - Takuma Kogo, Masanori Tsujikawa, Yukihiro Kiuchi, Atsushi Nishino, Satoshi Hashimoto:
Model Predictive Control of Shallow Drowsiness: Improving Productivity of Office Workers. - Cristobal Rojas, Michael Yampolsky:
Real quadratic Julia sets can have arbitrarily high complexity. - Fan Yang:
Axiomatizing first-order consequences in inclusion logic. - Amir Shpilka:
Sylvester-Gallai type theorems for quadratic polynomials. - Arnak S. Dalalyan, Philip Thompson:
Outlier-robust estimation of a sparse linear model using 𝓁1-penalized Huber's M-estimator. - Michael Cary:
Dominator Chromatic Numbers of Orientations of Trees. - Alexandru Cojocaru, Léo Colisson, Elham Kashefi, Petros Wallden:
QFactory: classically-instructed remote secret qubits preparation. - Alberto Aleta, Sandro Meloni, Nicola Perra, Yamir Moreno:
Explore with caution: mapping the evolution of scientific interest in Physics. - Alexandru Gheorghiu, Thomas Vidick:
Computationally-secure and composable remote state preparation. - Sheng-Yong Niu, Lun-Zhang Guo, Yue Li, Tzung-Dau Wang, Yu Tsao, Tzu-Ming Liu:
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images. - Fan Dai, Yifan Zhu, Ranjan Maitra:
Three-dimensional Radial Visualization of High-dimensional Continuous or Discrete Data. - Takuya Yoshioka, Zhuo Chen, Changliang Liu, Xiong Xiao, Hakan Erdogan, Dimitrios Dimitriadis:
Low-Latency Speaker-Independent Continuous Speech Separation. - Badong Chen, Xin Wang, Yingsong Li, José C. Príncipe:
Maximum Correntropy Criterion with Variable Center. - Marta M. Stepniewska-Dziubinska, Piotr Zielenkiewicz, Pawel Siedlecki:
Detection of protein-ligand binding sites with 3D segmentation. - Yu Cao, Jianfeng Lu:
Tensorization of the strong data processing inequality for quantum chi-square divergences. - S. Mohammad H. Hashemi, Demetri Psaltis:
Deep-learning PDEs with unlabeled data and hardwiring physics laws. - Majid Farzaneh, Rahil Mahdian, Mohammad Asgari:
Audio Compression Using Graph-based Transform. - Jinlu Shen, Xueliang Sun, Krishnamoorthy Sivakumar, Benjamin J. Belzer, Kheong Sann Chan, Ashish James:
TDMR Detection System with Local Area Influence Probabilistic a Priori Detector. - Mansoor Sheikh, A. C. C. Coolen:
Analysis of overfitting in the regularized Cox model. - Hao Wang, Jing Lu:
A robust DOA estimation method for a linear microphone array under reverberant and noisy environments. - Casper van Elteren, Rick Quax:
The dynamic importance of nodes is poorly predicted by static topological features. - (Withdrawn) Separation of bounded arithmetic using a consistency statement.
- Chenglin Gao, Chengye Zhao:
Linear algorithms on Steiner domination of trees. - Seyyid Emre Sofuoglu, Selin Aviyente:
Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis. - Elad Meir, Tirza Routtenberg:
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation. - Kazuhiro Nakamura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Singing voice synthesis based on convolutional neural networks. - Joseph Paat, Miriam Schlöter, Robert Weismantel:
Most IPs with bounded determinants can be solved in polynomial time. - Vanessa G. Glenny, Jonathan Tuke, Nigel G. Bean, Lewis Mitchell:
A framework for streamlined statistical prediction using topic models. - Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. - Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila:
Improved Precision and Recall Metric for Assessing Generative Models. - Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing, David P. vanMaanen, Joshua Stough, Dustin N. Hartzel, Joseph B. Leader, H. Lester Kirchner, Christopher W. Good, Aalpen A. Patel, Brian P. Delisle, Amro Alsaid, Dominik Beer, Christopher M. Haggerty, Brandon K. Fornwalt:
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data. - Juan Liu, Kevin M. Koch:
MRI Tissue Magnetism Quantification through Total Field Inversion with Deep Neural Networks. - Marcel Hirt, Petros Dellaportas, Alain Durmus:
Copula-like Variational Inference. - Cristina Flaut, Radu Vasile:
Wajsberg algebras arising from binary block codes. - David Gamarnik, Ilias Zadik:
The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property. - Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Reinforcement Learning for Batch Bioprocess Optimization. - Jalal Abdulbaqi, Yue Gu, Ivan Marsic:
RHR-Net: A Residual Hourglass Recurrent Neural Network for Speech Enhancement. - Minglong Qi, Shengwu Xiong:
New Kloosterman sum identities from the Helleseth-Zinoviev result on Z4-linear Goethals codes. - Xiaoyu Wei, Shidong Jiang, Andreas Klöckner, Xiao-Ping Wang:
An Integral Equation Method for the Cahn-Hilliard Equation in the Wetting Problem. - Andreas Bärtschi, Stephan J. Eidenbenz:
Deterministic Preparation of Dicke States. - Kong Aik Lee, Ville Hautamäki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Héctor Delgado, Jose Patino, Qiongqiong Wang, Ling Guo, Takafumi Koshinaka, Jiacen Zhang, Koichi Shinoda, Trung Ngo Trong, Md. Sahidullah, Fan Lu, Yun Tang, Ming Tu, Kah Kuan Teh, Tran Huy Dat, Kuruvachan K. George, Ivan Kukanov, Florent Desnous, Jichen Yang, Emre Yilmaz, Longting Xu, Jean-François Bonastre, Chenglin Xu, Zhi Hao Lim, Eng Siong Chng, Shivesh Ranjan, John H. L. Hansen, Massimiliano Todisco, Nicholas W. D. Evans:
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences. - Audun Myers, Elizabeth Munch, Firas A. Khasawneh:
Persistent Homology of Complex Networks for Dynamic State Detection. - Peter Wills, François G. Meyer:
Metrics for Graph Comparison: A Practitioner's Guide. - Esmaeil Seraj, Mehran Yazdi, Nastaran Shahparian:
fMRI Based Cerebral Instantaneous Parameters for Automatic Alzheimer's, Mild Cognitive Impairment and Healthy Subject Classification. - Mari Ganesh Kumar, Suvidha Rupesh Kumar, M. S. Saranya, B. Bharathi, Hema A. Murthy:
Spoof detection using x-vector and feature switching. - Nhat Ho, Tianyi Lin, Michael I. Jordan:
Global Error Bounds and Linear Convergence for Gradient-Based Algorithms for Trend Filtering and 𝓁1-Convex Clustering. - Makoto Araya, Masaaki Harada, Ken Saito:
Quaternary Hermitian linear complementary dual codes. - Fabien Lauer:
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses. - Shixiong Wang, Chongshou Li, Andrew Lim:
Why Are the ARIMA and SARIMA not Sufficient. - Aurélien Decelle, Victor Martin-Mayor, Beatriz Seoane:
Learning a Gauge Symmetry with Neural Networks. - Anthony F. J. van Raan, Jos J. Winnink:
Sleeping Beauties in Medical Research: Technological Relevance, High Scientific Impact. - Prateek Bansal, Rico Krueger, Michel Bierlaire, Ricardo A. Daziano, Taha Hossein Rashidi:
Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models. - Hemanshu Kaul, Jeffrey A. Mudrock:
On the Chromatic Polynomial and Counting DP-Colorings. - Alessandra Cabassi, Paul D. W. Kirk:
Multiple kernel learning for integrative consensus clustering of genomic datasets. - Yael Segal, Tzeviya Sylvia Fuchs, Joseph Keshet:
SpeechYOLO: Detection and Localization of Speech Objects. - Sara Dridi, Samira El Yacoubi, Franco Bagnoli, Allyx Fontaine:
A Graph Theory Approach for Regional Controllability of Boolean Cellular Automata. - Milan Yadav, Kanak Khanna:
Energy Saving Strategy Based on Profiling. - Joshua T. Dickey, Brett J. Borghetti, William Junek, Richard Martin:
Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity. - Linda Wang:
Response of Selective Attention in Middle Temporal Area. - Soumyabrata Dev, Atul Nautiyal, Yee Hui Lee, Stefan Winkler:
CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation. - Gianluca Bianchin, Fabio Pasqualetti, Soumya Kundu:
Resilience of Traffic Networks with Partially Controlled Routing. - Xixi Li, Yanfei Kang, Feng Li:
Forecasting with time series imaging. - Soichiro Fujii:
A 2-Categorical Study of Graded and Indexed Monads. - Jee-weon Jung, Hee-Soo Heo, Ju-ho Kim, Hye-jin Shim, Ha-Jin Yu:
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification. - Justin Le Louedec, Thomas Guntz, James L. Crowley, Dominique Vaufreydaz:
Deep learning investigation for chess player attention prediction using eye-tracking and game data. - Adonis E. Tio, David J. Hill, Jin Ma:
Grid Inadequacy Assessment against Power Injection Diversity from Intermittent Generation, Dynamic Loads, and Energy Storage. - Léonard Torossian, Aurélien Garivier, Victor Picheny:
X-Armed Bandits: Optimizing Quantiles and Other Risks. - Luca Pasa, Giovanni Morrone, Leonardo Badino:
Joined Audio-Visual Speech Enhancement and Recognition in the Cocktail Party: The Tug Of War Between Enhancement and Recognition Losses. - Ridha Nasri, Alain Simonian, Fabrice Guillemin:
Inversion formula with hypergeometric polynomials and its application to an integral equation. - Karl Svozil:
Quantum advantage by relational queries about physically realizable equivalence classes. - Markus Lohrey, Armin Weiß:
The power word problem. - Filipe Rodrigues, Carlos Lima Azevedo:
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. - Samineh Bagheri, Wolfgang Konen, Thomas Bäck:
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. - Sirag Erkol, Claudio Castellano, Filippo Radicchi:
Systematic comparison between methods for the detection of influential spreaders in complex networks. - Hieu Quang Nguyen, Abdul Hasib Rahimyar, Xiaodi Wang:
Stock Forecasting using M-Band Wavelet-Based SVR and RNN-LSTMs Models. - Sinead A. Williamson, Michael Minyi Zhang, Paul Damien:
A New Class of Time Dependent Latent Factor Models with Applications. - Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi:
SPONGE: A generalized eigenproblem for clustering signed networks. - Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien:
Reducing Noise in GAN Training with Variance Reduced Extragradient. - Sergei Konyagin, Benny Sudakov:
An extremal problem for integer sparse recovery. - Timothy D. Gebhard, Niki Kilbertus, Ian Harry, Bernhard Schölkopf:
Convolutional neural networks: a magic bullet for gravitational-wave detection? - Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen, Alle-Jan van der Veen:
Multiresolution time-of-arrival estimation from multiband radio channel measurements. - Radu Serban, Antonio M. Recuero:
Sensitivity Analysis for Hybrid Systems and Systems with Memory. - Jurjen R. Helmus, Seyla Wachlin, Igna Vermeulen, Mike H. Lees:
SEVA: A Data driven model of Electric Vehicle Charging Behavior. - Hirshikesh, Sundararajan Natarajan, Ratna K. Annabattula, Emilio Martínez-Pañeda:
Phase field modelling of crack propagation in functionally graded materials. - Walther Neuper:
Technologies for "Complete, Transparent & Interactive Models of Math" in Education. 76-95 - Jaakko Sahlsten, Joel Jaskari, Jyri J. Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, Kimmo Kaski:
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading. - Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava, Brejesh Lall:
Few Shot Speaker Recognition using Deep Neural Networks. - Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le:
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. - Julia E. Reid, Eric Eaton:
Artificial Intelligence for Pediatric Ophthalmology. - Juan Carlos Araujo-Cabarcas, Christian Engström:
Removal of spurious solutions encountered in Helmholtz scattering resonance computations in R^d. - Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff:
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework. - Penghui Yao:
A doubly exponential upper bound on noisy EPR states for binary games. - János Pach, Natan Rubin, Gábor Tardos:
Planar Point Sets Determine Many Pairwise Crossing Segments. - Christian Ghiaus, Florent Alzetto:
Design of experiments for Quick U-building method for building energy performance measurement. - David L. Barack, Andrew Jaegle:
Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding. - Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka, Filippo Federici Canova, Yashasvi S. Ranawat, David Z. Gao, Patrick Rinke, Adam S. Foster:
DScribe: Library of Descriptors for Machine Learning in Materials Science. - A. R. Balasubramanian:
Generalized threshold arrangements. - Scott Aaronson, Robin Kothari, William Kretschmer, Justin Thaler:
Quantum Lower Bounds for Approximate Counting via Laurent Polynomials. - Marios Mattheakis, Pavlos Protopapas, David Sondak, Marco Di Giovanni, Efthimios Kaxiras:
Physical Symmetries Embedded in Neural Networks. - Ahmad W. Bitar, Jean Philippe Ovarlez, Loong-Fah Cheong, Ali Chehab:
Automatic Target Detection for Sparse Hyperspectral Images. - Yu Zhang, Haowei Deng, Quanxi Li, Haoze Song, Leihai Nie:
Optimizing Quantum Programs against Decoherence: Delaying Qubits into Quantum Superposition. - Aswin Shanmugam Subramanian, Xiaofei Wang, Shinji Watanabe, Toru Taniguchi, Dung T. Tran, Yuya Fujita:
Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR. - Jingwei Liu:
Random Fragments Classification of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm. - Ricardo Pio Monti, Kun Zhang, Aapo Hyvärinen:
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA. - Cécilia Pradic, Chad E. Brown:
Cantor-Bernstein implies Excluded Middle. - Vladica Andrejic, Alin Bostan, Milos Tatarevic:
Improved algorithms for left factorial residues. - Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. - Yueqin Li, Ata Mahjoubfar, Claire Lifan Chen, Kayvan Reza Niazi, Li Pei, Bahram Jalali:
Deep Cytometry. - Heather Z. Brooks, Mason A. Porter:
A Model for the Influence of Media on the Ideology of Content in Online Social Networks. - Shixiong Wang, Chongshou Li, Andrew Lim:
Online Non-stationary Time Series Analysis and Processing. - Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao:
Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation. - Arkady Molev-Shteiman, Xiao-Feng Qi, Laurence Mailaender:
Low Resolution Digital-to-Analog Converter with Digital Dithering for MIMO Transmitter. - Arkady Molev-Shteiman, Xiao-Feng Qi, Laurence Mailaender:
A Low Complexity Near-Maximum Likelihood MIMO Receiver with Low Resolution Analog-to-Digital Converters. - Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein:
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models. - Jennifer Newman, Li Lin, Wenhao Chen, Stephanie Reinders, Yangxiao Wang, Min Wu, Yong Guan:
StegoAppDB: a Steganography Apps Forensics Image Database. - Bindu Jagannatha, Koki Ho:
Event-Driven Space Logistics Network Optimization with Embedded Propulsion Technology Trades. - Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. - Mathieu Carrière, Frédéric Chazal, Yuichi Ike, Théo Lacombe, Martin Royer, Yuhei Umeda:
A General Neural Network Architecture for Persistence Diagrams and Graph Classification. - Tae Hyung Kim, Pratyush Garg, Justin P. Haldar:
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space. - Pengfei Liu:
A Combinatorial Algorithm for the Multi-commodity Flow Problem. - Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao:
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications. - Nicholas S. Berry, Ranjan Maitra:
TiK-means: K-means clustering for skewed groups. - Prosanta Sarkar, Nilanjan De, Anita Pal:
The general Zagreb index of lattice networks. - Jeremiah Zhe Liu:
Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees. - Yingjie Fei, Yudong Chen:
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly. - Jialiang Xu, Yun-Bin Zhao:
Stability Analysis for a Class of Sparse Optimization Problems. - Yunhao Zhang, Haowen Liu, Paul Rosen, Mustafa Hajij:
Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions. - Diego Cifuentes:
A convex relaxation to compute the nearest structured rank deficient matrix. - Hongji Huang, Song Guo, Guan Gui, Zhen Yang, Jianhua Zhang, Hikmet Sari, Fumiyuki Adachi:
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions. - Qiuwei Li, Zhihui Zhu, Gongguo Tang, Michael B. Wakin:
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems. - Haojie Liu, Tong Chen, Peiyao Guo, Qiu Shen, Xun Cao, Yao Wang, Zhan Ma:
Non-local Attention Optimized Deep Image Compression. - Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu:
On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model. - Sandeep Kumar, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
A Unified Framework for Structured Graph Learning via Spectral Constraints. - Chuangjie Xu:
A syntactic approach to continuity of T-definable functionals. - Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado:
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning. - Tom de Jong:
The Scott model of PCF in univalent type theory. - Bahman Kalantari:
A Triangle Algorithm for Semidefinite Version of Convex Hull Membership Problem. - Aurelio Patelli, Andrea Gabrielli, Giulio Cimini:
Generalized Markov stability of network communities. - Alexander Yu. Vlasov:
Clifford algebras, Spin groups and qubit trees. - Kevin Karsch, Brian Grinstead, Qing He, Ye Duan:
Web Based Brain Volume Calculation for Magnetic Resonance Images. - Kevin Karsch, Qing He, Ye Duan:
A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging. - Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy:
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence. - Aseem Raj Baranwal, Jeffrey O. Shallit:
Repetitions in infinite palindrome-rich words. - James D. Currie, Lucas Mol:
The undirected repetition threshold. - Davood Karimi, Septimiu E. Salcudean:
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks. - Samson Abramsky, Rui Soares Barbosa, Martti Karvonen, Shane Mansfield:
A comonadic view of simulation and quantum resources. - Shiliang Zhang, Ming Lei, Zhijie Yan:
Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition. - Sebastián González Hermosillo de la Maza, Seyyed Aliasghar Hosseini, Fiachra Knox, Bojan Mohar, Bruce A. Reed:
Cops and robbers on oriented toroidal grids. - Jee-weon Jung, Hye-jin Shim, Hee-Soo Heo, Ha-Jin Yu:
Replay attack detection with complementary high-resolution information using end-to-end DNN for the ASVspoof 2019 Challenge. - Hee-Soo Heo, Jee-weon Jung, Hye-jin Shim, Ha-Jin Yu:
Acoustic scene classification using teacher-student learning with soft-labels. - Yuka Fujiki, Kousuke Yakubo:
Identification of intrinsic long-range degree correlations in complex networks. - Rémi Cogranne, Rémi Slysz, Laurence Moreau, Houman Borouchaki:
A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor. - Sergey Dovgal:
The birth of the contradictory component in random 2-SAT. - William A. Clark, Anthony M. Bloch, Leonardo Colombo, Patrick Rooney:
Time-minimum control of quantum purity for 2-level Lindblad equations. - Neven Miculinic, Marko Ratkovic, Mile Sikic:
MinCall - MinION end2end convolutional deep learning basecaller. - Siddhartha Das, Mark M. Wilde:
Quantum boomerang capacity. - José F. Rodrigues Jr., Larisa Florea, Maria Cristina Ferreira de Oliveira, Dermot Diamond, Osvaldo N. Oliveira Jr.:
A survey on Big Data and Machine Learning for Chemistry. - Adam Santoro, Felix Hill, David G. T. Barrett, David Raposo, Matthew M. Botvinick, Timothy P. Lillicrap:
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. - Lili Su, Chia-Jung Chang, Nancy A. Lynch:
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. - Helen L. Bear, Inês Nolasco, Emmanouil Benetos:
Towards joint sound scene and polyphonic sound event recognition. - Haozhe Zhang, Dan Nettleton, Zhengyuan Zhu:
Regression-Enhanced Random Forests. - Frank Nielsen:
On the Kullback-Leibler divergence between location-scale densities. - Xin Wang, Mark M. Wilde:
α-Logarithmic negativity. - Alejandro C. Frery, Juliana Gambini:
Comparing Samples from the G0 Distribution using a Geodesic Distance. - Yasunao Katayama:
Like Quantum Computing without Quantum Physics: Is it How the Brain Works? - Shuaiqiang Liu, Anastasia Borovykh, Lech A. Grzelak, Cornelis W. Oosterlee:
A neural network-based framework for financial model calibration. - Thomas Uriot:
Kernel Mean Embedding of Instance-wise Predictions in Multiple Instance Regression. - Cole Comfort:
Circuit Relations for Real Stabilizers: Towards TOF+H. - Mohammad Bahrami, Narges Chinichian, Ali Hosseiny, Gholamreza Jafari, Marcel Ausloos:
Optimization of the post-crisis recovery plans in scale-free networks. - Måns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari:
Bayesian leave-one-out cross-validation for large data. - Yaxing Wang, Qiong Li, Qi Han, Yumeng Wang:
Modeling and Simulation of Practical Quantum Secure Communication Network. - Aysun Urhan, Burak Alakent:
An Exploratory Analysis of Biased Learners in Soft-Sensing Frames. - Victor Lazzarini, Joseph Timoney:
The Analogue Computer as a Voltage-Controlled Synthesiser. - Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey, Kyomin Jung:
Speech Emotion Recognition Using Multi-Hop Attention Mechanism. - Julius Wallnöfer, Alexey A. Melnikov, Wolfgang Dür, Hans J. Briegel:
Machine learning for long-distance quantum communication. - Wei Wang, Yuanhui Ma, Tao Wu, Yang Dai, Xingshu Chen, Lidia A. Braunstein:
Containing misinformation spreading in temporal social networks. - Guillermo García-Pérez, Antoine Allard, M. Ángeles Serrano, Marián Boguñá:
Mercator: uncovering faithful hyperbolic embeddings of complex networks. - Swapnil Nitin Shah:
Variational approach to unsupervised learning. - Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan Yao:
S2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning. - Qiang Liu, Xiaoyu Zhou, Piet Van Mieghem:
Pulse strategy for suppressing spreading on networks. - Roel Henckaerts, Marie-Pier Côté, Katrien Antonio, Roel Verbelen:
Boosting insights in insurance tariff plans with tree-based machine learning. - Jiaying Gu, Qing Zhou:
Learning big Gaussian Bayesian networks: partition, estimation, and fusion. - Peter A. G. Watson:
Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correction. - Muhammad Usman Sadiq, Diana O. Svaldi, Trey E. Shenk, Evan L. Breedlove, Victoria N. Poole, Gregory G. Tamer, Kausar Abbas, Thomas M. Talavage:
Alterations in Structural Correlation Networks with Prior Concussion in Collision-Sport Athletes. - Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe:
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function. - Yasuhiko Tachibana, Akifumi Hagiwara, Masaaki Hori, Jeff Kershaw, Misaki Nakazawa, Tokuhiko Omatsu, Riwa Kishimoto, Kazumasa Yokoyama, Nobutaka Hattori, Shigeki Aoki, Tatsuya Higashi, Takayuki Obata:
The utility of a convolutional neural network for generating a myelin volume index map from rapid simultaneous relaxometry imaging. - Mohd. Hafiz Hasan, Pascal Van Hentenryck, Antoine Legrain:
The Commute Trip Sharing Problem. - Baha Eddine Youcef Belmekki, Abdelkrim Hamza, Benoît Escrig:
Outage Analysis of Cooperative NOMA in Millimeter Wave Vehicular Network at Intersections. - Bahareh Behboodi, Hassan Rivaz:
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data. - Ryutaroh Matsumoto:
Message Randomization and Strong Security in Quantum Stabilizer-Based Secret Sharing for Classical Secrets. - Chapman Siu:
TreeGrad: Transferring Tree Ensembles to Neural Networks. - Youshan Zhang:
Corticospinal Tract (CST) reconstruction based on fiber orientation distributions(FODs) tractography. - Ali Habibnia, Esfandiar Maasoumi:
Forecasting in Big Data Environments: an Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet). - Soo Ye Kim, Jihyong Oh, Munchurl Kim:
Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications. - Haobo Li, Ning Cai:
A Blahut-Arimoto Type Algorithm for Computing Classical-Quantum Channel Capacity. - Fei Ma, Xiaoming Wang, Ping Wang:
An ensemble of random graphs with identical degree distribution. - Philippe Talatchian, M. Romera, Sumito Tsunegi, Flavio Abreu Araujo, Vincent Cros, Paolo Bortolotti, Juan Trastoy, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Maxence Ernoult, Damir Vodenicarevic, Tifenn Hirtzlin, Nicolas Locatelli, Damien Querlioz, Julie Grollier:
Microwave neural processing and broadcasting with spintronic nano-oscillators. - (Withdrawn) Parametric local stability condition of a multi-converter system.
- Sarah Itani, Dorina Thanou:
Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder. - Çagatay Isil, Figen S. Oktem, Aykut Koç:
Deep Iterative Reconstruction for Phase Retrieval. - Fei Ma, Ping Wang, Bing Yao:
Random walks on Fibonacci treelike models: emergence of power law. - Julian Barreiro-Gomez, Tyrone E. Duncan, Hamidou Tembine:
Matrix-Valued Mean-Field-Type Games: Risk-Sensitive, Adversarial, and Risk-Neutral Linear-Quadratic Case. - Paola Favati, Grazia Lotti, Ornella Menchi, Francesco Romani:
Construction of the similarity matrix for the spectral clustering method: numerical experiments. - Hannes Diener, Matthew Hendtlass:
(Seemingly) Impossible Theorems in Constructive Mathematics. - Haoran Wang, Xun Yu Zhou:
Continuous-Time Mean-Variance Portfolio Optimization via Reinforcement Learning. - Nadejda Drenska, Robert V. Kohn:
Prediction with Expert Advice: a PDE Perspective. - Nayana Das, Goutam Paul, Arpita Maitra:
Dimensionality Distinguishers. - Rao Fu, Jie Chen, Shutian Zeng, Yiping Zhuang, Agus Sudjianto:
Time Series Simulation by Conditional Generative Adversarial Net. - Simon Apers:
Quantum Walk Sampling by Growing Seed Sets. - Jan Czajkowski, Christian Majenz, Christian Schaffner, Sebastian Zur:
Quantum Lazy Sampling and Game-Playing Proofs for Quantum Indifferentiability. - Marc Ringel, Roufaida Laidi, Djamel Djenouri:
Multiple Benefits through Smart Home Energy Management Solutions - A Simulation-Based Case Study of a Single-Family House in Algeria and Germany. - Stefan Kiefer, Richard Mayr, Mahsa Shirmohammadi, Patrick Totzke:
Büchi Objectives in Countable MDPs. - Zulifqar Ali, Ijaz Hussain, Muhammad Faisal, Hafiza Mamona Nazir, Tajammal Hussain, Yousaf Shad Muhammad, Alaa Mohamd Shoukry, Showkat Hussain Gani:
Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model. - Gushu Li, Yufei Ding, Yuan Xie:
SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System. - Kyongsik Yun, Kevin Yu, Joseph Osborne, Sarah Eldin, Luan Nguyen, Alexander Huyen, Thomas Lu:
Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks. - Dimitris Bertsimas, Christopher McCord:
From Predictions to Prescriptions in Multistage Optimization Problems. - William E. Leeb:
Evaluating the boundary and Stieltjes transform of limiting spectral distributions for random matrices with a separable variance profile. - Andreas Stöckel, Chris Eliasmith:
Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks. - Giuliano Taffoni, Giuseppe Murante, Luca Tornatore, David Goz, Stefano Borgani, Manolis Katevenis, Nikolaos Chrysos, Manolis Marazakis:
Shall numerical astrophysics step into the era of Exascale computing? - Ziyuan Gu, S. Travis Waller, Meead Saberi:
Surrogate-based toll optimization in a large-scale heterogeneously congested network. - Olgierd Stankiewicz:
Video coding technique with parametric modeling of noise. - Xiaokun Pu, Chunguang Li:
Online Learning Algorithms for Quaternion ARMA Model. - Svante Janson, Lutz Warnke:
Preferential attachment without vertex growth: emergence of the giant component. - Dong Jiang, Weicong Huang, Chaohui Gao, Jia Liu, Lijun Chen:
Self-Organizing Quantum Networks. - Jakub M. Tomczak, Romain Lepert, Auke J. Wiggers:
Simulating Execution Time of Tensor Programs using Graph Neural Networks. - Shantanav Chakraborty, Kyle Luh, Jérémie Roland:
On analog quantum algorithms for the mixing of Markov chains. - Ludovic Venet, Sarthak Pati, Paul A. Yushkevich, Spyridon Bakas:
Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool. - Andrea M. Tonello, Nunzio A. Letizia, Davide Righini, Francesco Marcuzzi:
Machine Learning Tips and Tricks for Power Line Communications. - Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang:
Attention-based Transfer Learning for Brain-computer Interface. - Fei Wang, Yunpeng Song, Jimuyang Zhang, Jinsong Han, Dong Huang:
Temporal Unet: Sample Level Human Action Recognition using WiFi. - Manuela Geiß, Marcos González, Alitzel López Sánchez, Dulce I. Valdivia, Marc Hellmuth, Maribel Hernández-Rosales, Peter F. Stadler:
Best Match Graphs and Reconciliation of Gene Trees with Species Trees. - Mengyu Dai, Zhengwu Zhang, Anuj Srivastava:
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects. - Seyedmohammadhossein Hosseinian, Sergiy Butenko:
Polyhedral Properties of the Induced Cluster Subgraphs. - Nasim Alamdari, Arian Azarang, Nasser Kehtarnavaz:
Self-Supervised Deep Learning-Based Speech Denoising. - Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan:
Flow-based generative models for Markov chain Monte Carlo in lattice field theory. - Peter A. Streufert:
The Category of Node-and-Choice Forms, with Subcategories for Choice-Sequence Forms and Choice-Set Forms. - Xin Wang, Shinji Takaki, Junichi Yamagishi:
Neural source-filter waveform models for statistical parametric speech synthesis. - Otello Ardovino, Jacopo Arpetti, Marco Delmastro:
Regulating AI: do we need new tools? - Mehdi Delkhosh, Kourosh Parand, Amir H. Hadian-Rasanan:
A development of Lagrange interpolation, Part I: Theory. - Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Linearized two-layers neural networks in high dimension. - Anmol Sharma, Ghassan Hamarneh:
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. - Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz:
Multilevel adaptive sparse Leja approximations for Bayesian inverse problems. - Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis:
Graph Kernels: A Survey. - Mingjin Wang, Feifei Gao, Mark F. Flanagan, Nir Shlezinger, Yonina C. Eldar:
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint. - Cyrille W. Combettes, Sebastian Pokutta:
Blended Matching Pursuit. - Andrei Alpeev:
Entropy inequalities and exponential decay of correlations for unique Gibbs measures on trees. - Qiaoling Ye, Arash A. Amini, Qing Zhou:
Optimizing regularized Cholesky score for order-based learning of Bayesian networks. - Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu:
Low-Rank Principal Eigenmatrix Analysis. - Takahiro Kosugi, Hitoshi Kino, Masaaki Goto, Yuki Matsutani:
Stability conditions of an ODE arising in human motion and its numerical simulation. - Seiji Takanashi, Takehiro Kawasaki, Taiki Todo, Makoto Yokoo:
Efficiency in Truthful Auctions via a Social Network. - Momoko Hayamizu, Kazuhisa Makino:
Ranking top-k trees in tree-based phylogenetic networks. - Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli:
Making the Last Iterate of SGD Information Theoretically Optimal. - Ján Dolinský, Mária Starovská, Robert Tóth:
Automatic Model Building in GEFCom 2017 Qualifying Match. - Jonathan Grizou, Laurie J. Points, Abhishek Sharma, Leroy Cronin:
Exploration of Self-Propelling Droplets Using a Curiosity Driven Robotic Assistant. - Carl Feghali:
Reconfiguring colourings of graphs with bounded maximum average degree. - Tomohiro Nishiyama:
Properties of discrete Fisher information: Cramer-Rao-type and log-Sobolev-type inequalities. - Mhd Hasan Sarhan, Shadi Albarqouni, Nassir Navab, Abouzar Eslami:
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. - Guillaume Noyel, Rebecca Thomas, Simon Iles, Gavin Bhakta, Andrew Crowder, David R. Owens, Peter Boyle:
Registration of retinal images from Public Health by minimising an error between vessels using an affine model with radial distortions. - David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin:
A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images. - Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov, Shanhui Fan:
Wave Physics as an Analog Recurrent Neural Network. - Yu Zheng, Yongxin Yang, Bowei Chen:
Gated deep neural networks for implied volatility surfaces. - Juan Zamudio-Fernandez, Atakan Okan, Francisco Villaescusa-Navarro, Seda Bilaloglu, Asena Derin Cengiz, Siyu He, Laurence Perreault Levasseur, Shirley Ho:
HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks. - Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia:
Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout. - Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang:
Semi-supervised Acoustic Event Detection based on tri-training. - Manuel Baltieri, Christopher L. Buckley:
Generative models as parsimonious descriptions of sensorimotor loops. - Pablo Arrighi:
An overview of Quantum Cellular Automata. - Fabrizio Genovese, Alex Gryzlov, Jelle Herold, Marco Perone, Erik Post, André Videla:
Computational Petri Nets: Adjunctions Considered Harmful. - Peng Jia, Yifei Zhao, Gang Xue, Dongmei Cai:
Optical Transient Object Classification in Wide Field Small Aperture Telescopes with Neural Networks. - N. Koeppen, I. Michael Ross, Lucas C. Wilcox, Ronald J. Proulx:
Fast Mesh Refinement in Pseudospectral Optimal Control. - Maryam Shafiee, Sule Ozev:
An In-Field Programmable Adaptive CMOS LNA for Intelligent IOT Sensor Node Applications. - Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. - Xi Chen, Simon S. Du, Xin T. Tong:
Hitting Time of Stochastic Gradient Langevin Dynamics to Stationary Points: A Direct Analysis. - Shravas Rao:
The Littlewood-Offord Problem for Markov Chains. - Qi Wang, Fahong Zhang, Xuelong Li:
Optimal Clustering Framework for Hyperspectral Band Selection. - Tianqi Hou, K. Y. Michael Wong, Haiping Huang:
Minimal model of permutation symmetry in unsupervised learning. - Francesco Curia:
Restricted Boltzmann Machine Assignment Algorithm: Application to solve many-to-one matching problems on weighted bipartite graph. - Paschalis A. Bizopoulos, George I. Lambrou, Dimitrios D. Koutsouris:
Signal2Image Modules in Deep Neural Networks for EEG Classification. - Prabal Chhibbar, Arpit Joshi:
Generating protein sequences from antibiotic resistance genes data using Generative Adversarial Networks. - Nico Lang, Konrad Schindler, Jan Dirk Wegner:
Country-wide high-resolution vegetation height mapping with Sentinel-2. - Jonathan Rubin, Sayed Mazdak Abulnaga:
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation. - Anant Suraj Vemuri:
Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy. - Robert A. Bridges, Anthony D. Gruber, Christopher Felder, Miki E. Verma, Chelsey Hoff:
Active Manifolds: A non-linear analogue to Active Subspaces. - Nasimeh Heydaribeni, Achilleas Anastasopoulos:
Distributed Mechanism Design for Network Resource Allocation Problems. - Alberto Tarable, Francisco J. Escribano:
Chaos-Based Anytime Reliable Coded Communications. - Hector Miller-Bakewell:
Finite Verification of Infinite Families of Diagram Equations. 27-52 - Aleks Kissinger, John van de Wetering:
PyZX: Large Scale Automated Diagrammatic Reasoning. 229-241 - Niel de Beaudrap, Ross Duncan, Dominic Horsman, Simon Perdrix:
Pauli Fusion: a Computational Model to Realise Quantum Transformations from ZX Terms. 85-105
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