default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.