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ORCIDCoRR, December 2018
- Kazuto Fukuchi, Jun Sakuma:
Minimax Optimal Additive Functional Estimation with Discrete Distribution. - Mingyuan Ma, Sen Na, Cong Xu, Xin Fan:
The Graph-based Broad Behavior-Aware Recommendation System for Interactive News. - Yu-Ki Lee, Zhonghua Xi, Young-Joo Lee, Yunhyeong Kim, Yue Hao, Young-Chang Joo, Changsoon Kim, Jyh-Ming Lien, In-Suk Choi:
Computational paper wrapping transforms non-stretchable 2D devices into wearable and conformable 3D devices. - Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas:
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. - Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid:
Modulated Policy Hierarchies. - Aaron J. Masino, Kaitlin A. Folweiler:
Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes. - David Castells-Rufas, Adrià Galin-Pons, Jordi Carrabina:
The Regulation of Unlicensed Sub-GHz bands: Are Stronger Restrictions Required for LPWAN-based IoT Success? - Tong Yu, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition. - Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. - Mauro Lucci, Graciela L. Nasini, Daniel Severín:
A Branch and Price Algorithm for List Coloring Problem. - Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. - Aous Karoui, Iza Marfisi-Schottman
, Sébastien George:
Mobile Learning Game Authoring Tools: Assessment, Synthesis and Proposals. - Rajesh P. N. Rao:
The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor. - Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp:
Learning Interpretable Rules for Multi-label Classification. - Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier:
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. - Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner:
Corresponding Projections for Orphan Screening. - David Bergman, Carlos Cardonha, Saharnaz Mehrani:
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation. - Zhan Tu, Fan Fei, Matthew Eagon, Xiangyu Zhang, Dongyan Xu, Xinyan Deng:
Redundancy-Free UAV Sensor Fault Isolation And Recovery. - Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny:
GDPP: Learning Diverse Generations Using Determinantal Point Process. - Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. - Yinghui Ye, Liqin Shi, Rose Qingyang Hu, Guangyue Lu:
Energy-efficient Resource Allocation for Wirelessly Powered Backscatter Communications. - Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl:
Scalable Graph Learning for Anti-Money Laundering: A First Look. - Rohan Padhye, Caroline Lemieux, Koushik Sen, Mike Papadakis, Yves Le Traon:
Zest: Validity Fuzzing and Parametric Generators for Effective Random Testing. - Liqin Shi, Yinghui Ye, Xiaoli Chu, Yangyang Zhang, Hailin Zhang:
Optimal Combining and Performance Analysis for Two-Way EH Relay Systems with TDBC Protocol. - Ionut-Gabriel Farcas, Tobias Görler, Hans-Joachim Bungartz, Frank Jenko, Tobias Neckel:
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis. - Liqin Shi, Wenchi Cheng, Yinghui Ye, Hailin Zhang, Rose Qingyang Hu:
Heterogeneous Power-Splitting Based Two-Way DF Relaying with Non-Linear Energy Harvesting. - Li Zhang, Heda Song, Haiping Lu:
Graph Node-Feature Convolution for Representation Learning. - Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis:
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment. - In-Ho Yi:
Parametric Denotational Semantics for Extensible Language Definition and Program Analysis. - Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer:
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. - Yixiu Zhao, Ziyin Liu:
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning. - Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney:
Understanding Unequal Gender Classification Accuracy from Face Images. - Mohamed Elfeki, Krishna Regmi, Shervin Ardeshir, Ali Borji:
From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval. - Mohamed Elfeki, Aidean Sharghi, Srikrishna Karanam, Ziyan Wu, Ali Borji:
Multi-View Egocentric Video Summarization. - Behnaz Arzani, Nicholas Iodice, Steven Hwang, Prahalad Venkataramanan, Roch Geurin, Boon Thau Loo:
Sunstar: A Cost-effective Multi-Server Solution for Reliable Video Delivery. - Swapneel Mehta, Chirag Raman, Nitin Ayer, Sameer Sahasrabudhe:
Auto-Grading for 3D Modeling Assignments in MOOCs. - Swapneel Mehta, Prasanth Kothuri, Daniel Lanza Garcia:
A Big Data Architecture for Log Data Storage and Analysis. - Honglei Liu, Anuj Kumar, Wenhai Yang, Benoît Dumoulin:
Explore-Exploit: A Framework for Interactive and Online Learning. - Masahito Hayashi:
Secure physical layer network coding versus secure network coding. - Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille:
Snapshot Distillation: Teacher-Student Optimization in One Generation. - Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia:
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. - Fabrice Benhamouda, Marc Joye:
How to Profile Privacy-Conscious Users in Recommender Systems. - Zheng Wang, Yang Huang, Shanxiang Lyu:
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization. - Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee:
Semi-Online Bipartite Matching. - Yujian Li:
Theory of Cognitive Relativity: A Promising Paradigm for True AI. - Meng Li, Yan Zhang, Haicheng She, Jinqiong Zhou, Jia Jia, Danmei He, Li Zhang:
Automated segmentaiton and classification of arterioles and venules using Cascading Dilated Convolutional Neural Networks. - Ashish Khetan, Harshay Shah, Sewoong Oh:
Number of Connected Components in a Graph: Estimation via Counting Patterns. - Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo:
Fuzzing: Art, Science, and Engineering. - Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu:
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. - Sooyeon Lee, Madison Reddie, Krish Gurdasani, Xiying Wang, Jordan Beck, Mary Beth Rosson, John M. Carroll:
Conversations for Vision: Remote Sighted Assistants Helping People with Visual Impairments. - Md. Shamim Hussain, Mohammad Ariful Haque:
SwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation. - Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Attacks and Submodular Optimization with Applications to Text Classification. - Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu:
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images. - Hiba Ahsan, Rahul Agrawal:
Approximating Categorical Similarity in Sponsored Search Relevance. - Yizhi Zhao:
Irregular Channel Polarization and Its Applications to Static Adversarial Wiretap Channel. - Gyeongbok Lee, Sungdong Kim, Seung-won Hwang:
QADiver: Interactive Framework for Diagnosing QA Models. - David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei:
Vision-Based Gait Analysis for Senior Care. - Jonathan Warrell, Hussein Mohsen, Mark Gerstein:
Rank Projection Trees for Multilevel Neural Network Interpretation. - Qi Sun, Yunzhe Tao, Qiang Du:
Stochastic Training of Residual Networks: a Differential Equation Viewpoint. - Zhouxing Shi, Minlie Huang:
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. - L. P. M. I. Sampath, Ashok Krishnan, Yi Shyh Eddy Foo, Hoay Beng Gooi:
Robust Optimal Energy and Reserve Management of Multiple-Microgrids via Cooperative Bidding. - Sean Saito, Sujoy Roy:
Effects of Loss Functions And Target Representations on Adversarial Robustness. - Fabian Schuiki, Michael Schaffner, Luca Benini:
NTX: An Energy-efficient Streaming Accelerator for Floating-point Generalized Reduction Workloads in 22nm FD-SOI. - S. Sheerazuddin, S. Anand, R. S. Anish Badhri:
A Scheme to Verify Services with Unboundedly many Clients using NuSMV. - Julia A. Meister, Raja Naeem Akram, Konstantinos Markantonakis:
Deep Learning Application in Security and Privacy - Theory and Practice: A Position Paper. - Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation among Multiple Operators. - Mei Wang, Weihong Deng, Jiani Hu, Jianteng Peng, Xunqiang Tao, Yaohai Huang:
Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation. - Trung Minh Nguyen, Thien Huu Nguyen:
One for All: Neural Joint Modeling of Entities and Events. - Ghada Dessouky, David Gens, Patrick Haney, Garrett Persyn, Arun K. Kanuparthi, Hareesh Khattri, Jason M. Fung, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran:
When a Patch is Not Enough - HardFails: Software-Exploitable Hardware Bugs. - Johannes Schiffer, Petros Aristidou, Romeo Ortega:
Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing. - Ziad Al-Halah, Andreas M. Lehrmann, Leonid Sigal:
Towards Traversing the Continuous Spectrum of Image Retrieval. - Ameet Deshpande, Harshavardhan P. K, Balaraman Ravindran:
Discovering hierarchies using Imitation Learning from hierarchy aware policies. - Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
Internal Distribution Matching for Natural Image Retargeting. - Junghyun Byun, Seungho Chae, Tack-Don Han:
Accurate control of a pan-tilt system based on parameterization of rotational motion. - Junghyun Byun, Seungho Chae, Yoonsik Yang, Tack-Don Han:
AIR: Anywhere Immersive Reality with User-Perspective Projection. - Kevin Shen, Amlan Kar, Sanja Fidler:
Lifelong Learning for Image Captioning by Asking Natural Language Questions. - Junghyun Byun, Tack-Don Han:
Fast and Accurate Reconstruction of Pan-Tilt RGB-D Scans via Axis Bound Registration. - Vladimir Braverman, Robert Krauthgamer, Lin F. Yang:
Universal Streaming of Subset Norms. - Karttikeya Mangalam, Mathieu Salzamann:
On Compressing U-net Using Knowledge Distillation. - Georgia Chalvatzaki, Petros Koutras, Jack Hadfield, Xanthi S. Papageorgiou, Costas S. Tzafestas, Petros Maragos:
On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollator. - Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas S. Tzafestas, Petros Maragos:
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task. - Diana Haidar, Mohamed Medhat Gaber, Yevgeniya Kovalchuk:
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection. - Irene Córdoba, Concha Bielza, Pedro Larrañaga:
Towards Gaussian Bayesian Network Fusion. - Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu, Suman Banerjee:
Characterizing Privacy Perceptions of Voice Assistants: A Technology Probe Study. - Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. - Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. - Hugo Prol, Vincent Dumoulin, Luis Herranz:
Cross-Modulation Networks for Few-Shot Learning. - Tony Mason, Ada Gavrilovska, David A. Joyner:
Collaboration Versus Cheating. - Daniel Neil, Joss Briody, Alix Lacoste, Aaron Sim, Páidí Creed, Amir Saffari:
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs. - Zhixuan Yu, Jae Shin Yoon, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park:
HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset. - Jie Xu, Wei Ding, Xiaoyan Hu:
VATE: a trade-off between memory and preserving time for high accuracy cardinalities estimation under sliding time window. - Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang:
Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks. - Sanmit Narvekar, Peter Stone:
Learning Curriculum Policies for Reinforcement Learning. - Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Nassir Navab, Federico Tombari:
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data. - Shubham Sahay, Dmitri B. Strukov:
A Behavioral Compact Model of 3D NAND Flash Memory. - Sagi Eppel:
Classifying a specific image region using convolutional nets with an ROI mask as input. - Edward Chou, Florian Tramèr, Giancarlo Pellegrino, Dan Boneh:
SentiNet: Detecting Physical Attacks Against Deep Learning Systems. - Matthew O'Kelly, Aman Sinha, Justin Norden, Hongseok Namkoong:
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation. - Maria Alejandra Rodriguez, Rajkumar Buyya:
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments. - Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li:
Plan-Recognition-Driven Attention Modeling for Visual Recognition. - Rajinder Sandhu, Adel Nadjaran Toosi, Rajkumar Buyya:
An API for Development of User Defined Scheduling Algorithms in Aneka PaaS Cloud Software. - Bruce McIntosh, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries. - Lijuan Jiang, Yongzhao Li, Yinghui Ye, Yunfei Chen, Ming Jin, Hailin Zhang:
Unilateral Left-Tail Anderson Darling Test Based Spectrum Sensing with Laplacian Noise. - Jiaping Ren, Wei Xiang, Yangxi Xiao, Ruigang Yang, Dinesh Manocha, Xiaogang Jin:
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization. - Jayant Sharma, Zixing Wang, Alberto Speranzon, Vijay Venkataraman, Hyun Soo Park:
ECO: Egocentric Cognitive Mapping. - Xinyi Zhou, Reza Zafarani:
Fake News: A Survey of Research, Detection Methods, and Opportunities. - Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Haoshu Fang, Cewu Lu:
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark. - Nhat M. Nguyen, Nilanjan Ray:
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation. - Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille:
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. - Han Cai, Ligeng Zhu, Song Han:
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. - Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao:
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. - Simiao Zuo, Jialin Wu:
Image Score: How to Select Useful Samples. - Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu:
GAN-EM: GAN based EM learning framework. - Sijia Xu, Hongyu Kuang, Zhi Zhuang, Renjie Hu, Yang Liu, Huyang Sun:
Macro action selection with deep reinforcement learning in StarCraft. - Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means Based on Variational Transportation. - Feng Shu, Ling Xu, Jinyong Lin, Jinsong Hu, Linqing Gui, Jun Li, Jiangzhou Wang:
Machine-Learning-based High-resolution DOA Measurement and Robust DM for Hybrid Analog-Digital Massive MIMO Transceiver. - Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo:
Analysis on Gradient Propagation in Batch Normalized Residual Networks. - Shaojie Wang, Wentian Zhao, Ziyi Kou, Chenliang Xu:
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos. - (Withdrawn) A Logic for Recursive Quantum Programs.
- Heriberto Cuayáhuitl, Seonghan Ryu, Donghyeon Lee, Jihie Kim:
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. - Jiawei Zhang, Yuzhen Jin, Jilan Xu, Xiaowei Xu, Yanchun Zhang:
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation. - Yuefu Zhou, Ya Zhang, Yanfeng Wang, Qi Tian:
Network Compression via Recursive Bayesian Pruning. - Or Birenzwige, Shay Golan, Ely Porat:
Locally Consistent Parsing for Text Indexing in Small Space. - Jun Geng, Lifeng Lai:
Quick Best Action Identification in Linear Bandit Problems. - Hao-Ting Wei, Sung-Hsien Hsieh, Wen-Liang Hwang, Chung-Shou Liao, Chun-Shien Lu:
Link Delay Estimation Using Sparse Recovery for Dynamic Network Tomography. - Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Y. Ng, Nigam H. Shah:
Predicting Inpatient Discharge Prioritization With Electronic Health Records. - Rasika Bhalerao, Maxwell Aliapoulios, Ilia Shumailov, Sadia Afroz, Damon McCoy:
Towards Automatic Discovery of Cybercrime Supply Chains. - Jasper Linmans, Bob van de Velde, Evangelos Kanoulas:
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions. - Nupur Baghel, Yaman Kumar, Paavini Nanda, Rajiv Ratn Shah, Debanjan Mahata, Roger Zimmermann:
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media. - Pawel Góra, Maciej Brzeski, Marcin Mozejko, Arkadiusz Klemenko, Adrian Kochanski:
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks. - Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li:
CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing. - Thomas Durieux, Benoit Cornu, Lionel Seinturier, Martin Monperrus:
Dynamic Patch Generation for Null Pointer Exceptions using Metaprogramming. - Taimoor Tariq, Munchurl Kim:
A Psychovisual Analysis on Deep CNN Features for Perceptual Metrics and A Novel Psychovisual Loss. - Shiyu Liu, Mehul Motani:
Feature Selection Based on Unique Relevant Information for Health Data. - Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin:
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. - Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny:
Efficient Lifelong Learning with A-GEM. - Domenico Cantone, Simone Faro, Arianna Pavone:
Sequence Searching Allowing for Non-Overlapping Adjacent Unbalanced Translocations. - Qingyu Chen, Yifan Peng, Tiarnan D. Keenan, Shazia Dharssi, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
A multi-task deep learning model for the classification of Age-related Macular Degeneration. - Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri:
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices. - Philipp Mayr, Muthu Kumar Chandrasekaran, Kokil Jaidka:
Report on the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018). - Adrian Benton:
Learning Representations of Social Media Users. - Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Computing Spatial Image Convolutions for Event Cameras. - Garrick Brazil, Xiaoming Liu:
Pedestrian Detection with Autoregressive Network Phases. - Nicolai Wojke, Alex Bewley:
Deep Cosine Metric Learning for Person Re-Identification. - Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. - Zhao Song, Ronald E. Parr, Lawrence Carin:
Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits. - Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy:
Personalizing Intervention Probabilities By Pooling. - Aditya Sripada, Harish Asokan, Abhishek Warrier, Arpit Kapoor, Harshit Gaur, Sridhar R:
Teleoperation of a Humanoid Robot with Motion Imitation and Legged Locomotion. - Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. - Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang:
Anchor Box Optimization for Object Detection. - Florian Lemmerich, Diego Sáez-Trumper, Robert West, Leila Zia:
Why the World Reads Wikipedia: Beyond English Speakers. - Divya Shanmugam, Davis W. Blalock, Jen J. Gong, John V. Guttag:
Multiple Instance Learning for ECG Risk Stratification. - Abdulkadir Celik, Ming-Cheng Tsai, Redha M. Radaydeh, Fawaz S. Al-Qahtani, Mohamed-Slim Alouini:
Distributed Cluster Formation and Power-Bandwidth Allocation for Imperfect NOMA in DL-HetNets. - Liang Yang, Hao Jiang, Jizhong Xiao, Zhouyuan Huo:
Ego-Downward and Ambient Video based Person Location Association. - Eman T. Hassan, Xin Chen, David J. Crandall:
Unsupervised Domain Adaptation using Generative Models and Self-ensembling. - Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille:
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. - Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang:
Model-Reuse Attacks on Deep Learning Systems. - Lev Yohananov, Yuval Efron, Eitan Yaakobi:
Double and Triple Node-Erasure-Correcting Codes over Graphs. - Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang, Xingdi Zhang, Shuaicheng Liu, Bing Zeng, Marc Pollefeys:
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image. - Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch:
Improving Clinical Predictions through Unsupervised Time Series Representation Learning. - Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani:
VADRA: Visual Adversarial Domain Randomization and Augmentation. - Eduardo Carvalho Pinto, Carola Doerr:
Towards a More Practice-Aware Runtime Analysis of Evolutionary Algorithms. - J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison:
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification. - Ivan Dokmanic:
Permutations Unlabeled beyond Sampling Unknown. - Duy-Kien Nguyen, Takayuki Okatani:
Multi-task Learning of Hierarchical Vision-Language Representation. - (Withdrawn) Prediction of New Onset Diabetes after Liver Transplant.
- Min Li, Chunshan Liu, Stephen V. Hanly, Iain B. Collings, Philip Whiting:
Explore and Learn: Optimized Two-Stage Search for Millimeter-Wave Beam Alignment. - Parvathy Sudhir Pillai, Tze-Yun Leong:
Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data. - Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille:
Elastic Boundary Projection for 3D Medical Imaging Segmentation. - Niki Kilbertus, Giambattista Parascandolo, Bernhard Schölkopf:
Generalization in anti-causal learning. - Jie Zhao, Quanzheng Li, Hongfeng Li, Li Zhang:
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model. - Aman Verma, Guido Powell, Yu Luo, David A. Stephens, David L. Buckeridge:
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models. - Satya Narayan Shukla, Benjamin M. Marlin:
Modeling Irregularly Sampled Clinical Time Series. - Zhibo Wang, Mengkai Song, Zhifei Zhang, Yang Song, Qian Wang, Hairong Qi:
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning. - Zhiyuan Jiang, Sheng Chen, Andreas F. Molisch, Rath Vannithamby, Sheng Zhou, Zhisheng Niu:
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach. - Junfeng Wen, Yanshuai Cao, Ruitong Huang:
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. - Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A. Nalls, Andrew B. Singleton, Roy H. Campbell:
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data. - Wenyuan Li, Yunlong Wang, Yong Cai, Corey W. Arnold, Emily Zhao, Yilian Yuan:
Semi-supervised Rare Disease Detection Using Generative Adversarial Network. - Joseph Bullock, Carolina Cuesta-Lázaro, Arnau Quera-Bofarull:
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets. - Jinyuan Chen, Fan Li:
Adding a Helper Can Totally Remove the Secrecy Constraints in Interference Channel. - Junghyuk Lee, Jong-Seok Lee:
Music Popularity: Metrics, Characteristics, and Audio-Based Prediction. - Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian:
Universal Perturbation Attack Against Image Retrieval. - Weiyu Huang, Yunlong Wang, Li Zhou, Emily Zhao, Yilian Yuan, Alejandro Ribeiro:
Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series. - Fang Liu:
SUSAN: Segment Unannotated image Structure using Adversarial Network. - Muhammed Tawfiqul Islam, Rajkumar Buyya:
Resource Management and Scheduling for Big Data Applications in Cloud Computing Environments. - Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar:
Split learning for health: Distributed deep learning without sharing raw patient data. - Frederik Ebert, Chelsea Finn, Sudeep Dasari, Annie Xie, Alex X. Lee, Sergey Levine:
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control. - Sabah Al-Fedaghi, Nourah Al-Huwais:
Conceptual Modeling of Inventory Management Processes as a Thinging Machine. - Hyunkwang Lee, Myeongchan Kim, Synho Do:
Practical Window Setting Optimization for Medical Image Deep Learning. - Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian:
Towards Visual Feature Translation. - Yunpeng Li, Costas Courcoubetis, Lingjie Duan:
Recommending Paths: Follow or Not Follow? - Xiaobo Zhou, Shihao Yan, Jinsong Hu, Jiande Sun, Jun Li, Feng Shu:
Joint Optimization of a UAV's Trajectory and Transmit Power for Covert Communications. - Chii Chang, Satish Narayana Srirama, Rajkumar Buyya:
Internet of Things (IoT) and New Computing Paradigms. - Adel Nadjaran Toosi, Md. Redowan Mahmud, Qinghua Chi, Rajkumar Buyya:
Management and Orchestration of Network Slices in 5G, Fog, Edge and Clouds. - Ramesh B. Manyam, Yanqing Zhang, William B. Keeling, Jose Binongo, Michael Kayatta, Seth Carter:
Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery. - Qi Wang, Dehua Zhou, Yanling Li:
Secure outsourced calculations with homomorphic encryption. - Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar:
Resource Constrained Deep Reinforcement Learning. - Panagiotis Stalidis, Theodoros Semertzidis, Petros Daras:
Examining Deep Learning Architectures for Crime Classification and Prediction. - Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C. L. Wang:
General Support-Effective Decomposition for Multi-Directional 3D Printing. - Yaocong Hu, MingQi Lu, Xiaobo Lu:
Spatial-temporal Fusion Convolutional Neural Network for Simulated Driving Behavior Recognition. - Mei-Mei Gu, Rong-Xia Hao, Jou-Ming Chang:
The Component Connectivity of Alternating Group Graphs and Split-Stars. - Evgeniy Shishkin:
Debugging Smart Contract's Business Logic Using Symbolic Model-Checking. - Jean-Philippe Fauvelle, Alexandre Dey, Sylvain Navers:
Protection of an information system by artificial intelligence: a three-phase approach based on behaviour analysis to detect a hostile scenario. - Bo Du, Lixiang Ru, Chen Wu, Liangpei Zhang:
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images. - Shichao Li, Xin Yang, K. T. Tim Cheng:
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture. - Sandrine Anthoine, Yannick Boursier, Laurent Jacques:
Proceedings of the fourth "international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques" (iTWIST'18). - Francisco Javier Andrade Chavez, Gabriele Nava, Silvio Traversaro, Francesco Nori, Daniele Pucci:
Model Based In Situ Calibration with Temperature compensation of 6 axis Force Torque Sensors. - Amir Ebrahimi Fard, Rijk Mercuur, Virginia Dignum, Catholijn M. Jonker, Bartel A. Van de Walle:
Towards Agent-based Models of Rumours in Organizations: A Social Practice Theory Approach. - Fengxian Tang, Yonghu Yan, Limei Peng, Sanjay K. Bose, Gangxiang Shen:
Counter-Propagating Core Assignment in Multi-Core Fiber Optical Networks to Reduce Inter-Core Crosstalk and Capacity Wastage. - Wei-Chun Chen, Chia-Che Chang, Chien-Yu Lu, Che-Rung Lee:
Knowledge Distillation with Feature Maps for Image Classification. - Toni Adame, Marc Carrascosa, Boris Bellalta:
The TMB path loss model for 5 GHz indoor WiFi scenarios: On the empirical relationship between RSSI, MCS, and spatial streams. - Eoin Brophy, José Juan Dominguez Veiga, Zhengwei Wang, Alan F. Smeaton, Tomás E. Ward:
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data. - Christian Pinto, Yiannis Gkoufas, Andrea Reale, Seetharami Seelam, Steven Eliuk:
Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud. - Hamed Hassanzadeh, Mahnoosh Kholghi, Anthony N. Nguyen, Kevin Chu:
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals. - Hoang Dung Vu, Kok-Soon Chai, Bryan D. Keating, Nurislam Tursynbek, Boyan Xu, Kaige Yang, Xiaoyan Yang, Zhenjie Zhang:
Data Driven Chiller Plant Energy Optimization with Domain Knowledge. - Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu:
Building Sequential Inference Models for End-to-End Response Selection. - Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma:
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. - Francisco J. Soulignac:
Total 2-domination of proper interval graphs. - Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng:
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. - Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer:
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks. - Sayan Putatunda:
Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children. - Petros Koutras, Petros Maragos:
SUSiNet: See, Understand and Summarize it. - Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai:
EnsNet: Ensconce Text in the Wild. - Abdulkadir Celik, Amer AlGhadhban, Basem Shihada, Mohamed-Slim Alouini:
Design and Provision of Traffic Grooming for Optical Wireless Data Center Networks. - Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille:
CRAVES: Controlling Robotic Arm with a Vision-based Economic System. - Masanori Suganuma, Xing Liu, Takayuki Okatani:
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. - Hamed Rahmani Khezri, Puria Azadi Moghadam, Mohammad Karimzadeh-Farshbafan, Vahid Shah-Mansouri, Hamed Kebriaei, Dusit Niyato:
Deep Q-Learning for Dynamic Reliability Aware NFV-Based Service Provisioning. - Aryaman Gupta, Kalpit C. Thakkar, Vineet Gandhi, P. J. Narayanan:
Nose, eyes and ears: Head pose estimation by locating facial keypoints. - David Stutz, Matthias Hein, Bernt Schiele:
Disentangling Adversarial Robustness and Generalization. - Huseyin Coskun:
Dynamic Ecological System Analysis. - Aleksey O. Zakharov, Yulia V. Kovalenko:
Construction and reduction of the Pareto set in asymmetric travelling salesman problem with two criteria. - Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama:
Testing Changes in Communities for the Stochastic Block Model. - Danielle Caled, Mário J. Silva:
FTR-18: Collecting rumours on football transfer news. - Mounir Baammi:
Malware static analysis and DDoS capabilities detection. - Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopacková, Piotr Bilinski:
Generating Material Maps to Map Informal Settlements. - Rex C. Y. Cheung, Alexander Aue, Thomas C. M. Lee:
Segmenting Dynamic Network Data. - Rong Ge, Holden Lee, Andrej Risteski:
Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition. - Atul Kr. Ojha, Koel Dutta Chowdhury, Chao-Hong Liu, Karan Saxena:
The RGNLP Machine Translation Systems for WAT 2018. - Jinseok Choi, Gilwon Lee, Brian L. Evans:
A Hybrid Beamforming Receiver with Two-Stage Analog Combining and Low-Resolution ADCs. - Yingcong Tan, Andrew Delong, Daria Terekhov:
Deep Inverse Optimization. - Berk Kaya, Yigit Baran Can, Radu Timofte:
Towards Spectral Estimation from a Single RGB Image in the Wild. - Lijun Zhang, Yujin Zhang, Yongbin Gao:
A Wasserstein GAN model with the total variational regularization. - Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopacková, Piotr Bilinski:
Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data. - Yerai Doval, Carlos Gómez-Rodríguez:
Comparing Neural- and N-Gram-Based Language Models for Word Segmentation. - Arnob Ghosh, Vaneet Aggarwal, Feng Qian:
A Robust Algorithm for Tile-based 360-degree Video Streaming with Uncertain FoV Estimation. - Yanpeng Yang, Hossein Shokri Ghadikolaei, Carlo Fischione, Marina Petrova, Ki Won Sung:
Fast and Reliable Initial Access with Random Beamforming for mmWave Networks. - Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Gregory S. Corrado, Jason D. Hipp, Martin C. Stumpe:
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. - Arnab Poddar, Md. Sahidullah, Goutam Saha:
Novel Quality Metric for Duration Variability Compensation in Speaker Verification using i-Vectors. - Carlos Munuera:
Locally Recoverable codes with local error detection. - Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, María Teresa Medina-Juliá, Ricardo Ron-Angevin:
Evaluation of flashing stimuli shape and colour heterogeneity using a P300 brain-computer interface speller. - Hengxuan Li, Collin F. Lynch, Tiffany Barnes:
Early Prediction of Course Grades: Models and Feature Selection. - Ziyao Zhang, Liang Ma, Konstantinos Poularakis, Kin K. Leung, Lingfei Wu:
DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN. - Klaus-Tycho Foerster, Juho Hirvonen, Stefan Schmid, Jukka Suomela:
On the Power of Preprocessing in Decentralized Network Optimization. - Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri:
Towards Solving Text-based Games by Producing Adaptive Action Spaces. - Andrew Stirn, Tony Jebara:
Thompson Sampling for Noncompliant Bandits. - Vijay Arvindh, Govind Aadithya R, Shravan Krishnan, Sivanathan K:
Collision-Free Multi Robot Trajectory Optimization in Unknown Environments using Decentralized Trajectory Planning. - Shreya Goyal, Satya Bhavsar, Shreya Patel, Chiranjoy Chattopadhyay, Gaurav Bhatnagar:
SUGAMAN: Describing Floor Plans for Visually Impaired by Annotation Learning and Proximity based Grammar. - Henry Adams, Johnathan Bush, Brittany Carr, Lara Kassab, Joshua Mirth:
On the Nonlinear Statistics of Optical Flow. - Ranjith Dinakaran, Ahmed Bouridane, Li Zhang, Fozia Mehboob, A. Rauf, Richard Jiang:
Deep Learning based Pedestrian Detection at Distance in Smart Cities. - Glib Kechyn:
Automatic lesion boundary detection in dermoscopy. - Saúl Alonso-Monsalve, Leigh H. Whitehead:
Image-based model parameter optimisation using Model-Assisted Generative Adversarial Networks. - Jonathan P. Chen, Fritz Obermeyer, Vladimir Lyapunov, Lionel Gueguen, Noah D. Goodman:
Joint Mapping and Calibration via Differentiable Sensor Fusion. - Sami Sebastian Brandt:
Integral Geometric Dual Distributions of Multilinear Models. - Sudharshan Chandra Babu, Shishira R. Maiya, Sivasankar Elango:
Relation Networks for Optic Disc and Fovea Localization in Retinal Images. - Shazia Akbar, Anne L. Martel:
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology. - Wei Wei, Lingjie Xu, Lingling Jin, Wei Zhang, Tianjun Zhang:
AI Matrix - Synthetic Benchmarks for DNN. - Donghui Yan, Timothy W. Randolph, Jian Zou, Peng Gong:
Incorporating Deep Features in the Analysis of Tissue Microarray Images. - D. Yoan Loic Mekontchou Yomba:
A Consolidated Approach to Convolutional Neural Networks and the Kolmogorov Complexity. - Eduardo Ruiz, Walterio W. Mayol-Cuevas:
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection. - Xinyang Zhang, Ningfei Wang, Shouling Ji, Hua Shen, Ting Wang:
Interpretable Deep Learning under Fire. - Weijian Deng, Liang Zheng, Jianbin Jiao:
Domain Alignment with Triplets. - Dianxiong Liu, Jinlong Wang, Yuhua Xu, Lang Ruan, Yuli Zhang:
A Coalition-Based Communication Framework for Intelligent Flying Ad-Hoc Networks. - Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni:
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. - Elnaz Nouri, Ehsan Hosseini-Asl:
Toward Scalable Neural Dialogue State Tracking Model. - Karthik C. S., Pasin Manurangsi:
On Closest Pair in Euclidean Metric: Monochromatic is as Hard as Bichromatic. - Daewon Seo, Lav R. Varshney:
The CEO Problem with rth Power of Difference and Logarithmic Distortions. - Jonathan Eckstein, Gyorgy Matyasfalvi:
Efficient Distributed-Memory Parallel Matrix-Vector Multiplication with Wide or Tall Unstructured Sparse Matrices. - Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara:
From the User to the Medium: Neural Profiling Across Web Communities. - Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
The Right (Angled) Perspective: Improving the Understanding of Road Scenes using Boosted Inverse Perspective Mapping. - Minghan Li, Tanli Zuo, Ruicheng Li, Martha White, Weishi Zheng:
Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling. - Bumjin Im, Ang Chen, Dan S. Wallach:
An Historical Analysis of the SEAndroid Policy Evolution. - Ozsel Kilinc, Giovanni Montana:
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations. - Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell:
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. - Yusuke Kawamoto, Takao Murakami:
Differentially Private Obfuscation Mechanisms for Hiding Probability Distributions. - Ashish Kumar, Saurabh Gupta, David F. Fouhey, Sergey Levine, Jitendra Malik:
Visual Memory for Robust Path Following. - Sergi Delgado-Segura, Surya Bakshi, Cristina Pérez-Solà, James Litton, Andrew Pachulski, Andrew Miller, Bobby Bhattacharjee:
TxProbe: Discovering Bitcoin's Network Topology Using Orphan Transactions. - Yijie Guo, Junhyuk Oh, Satinder Singh, Honglak Lee:
Generative Adversarial Self-Imitation Learning. - Noah J. Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster:
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping. - Arkaitz Zubiaga, Rob Procter, Carsten Maple:
A Longitudinal Analysis of the Public Perception of the Opportunities and Challenges of the Internet of Things. - Davide Belli, Shi Hu, Ecem Sogancioglu, Bram van Ginneken:
Chest X-Rays Image Inpainting with Context Encoders. - Dirk Sudholt:
Analysing the Robustness of Evolutionary Algorithms to Noise: Refined Runtime Bounds and an Example Where Noise is Beneficial. - Yanjun Li, Hengtong Kang, Ketian Ye, Shuyu Yin, Xiaolin Li:
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model. - Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. - Yanning Shen, Geert Leus, Georgios B. Giannakis:
Online Graph-Adaptive Learning with Scalability and Privacy. - Ahmed Abdelatty, Pracheta Sahoo, Chiradeep Roy:
Structure Learning Using Forced Pruning. - M. Rajaati, Mohammad Reza Hooshmandasl, M. Alambardar Meybodi, Bijan Davvaz:
On Mixed Domination in Generalized Petersen Graphs. - Aishwarya Kamath, Rajarshi Das:
A Survey on Semantic Parsing. - Xiao-Yang Liu, Zihan Ding, Sem C. Borst, Anwar Walid:
Deep Reinforcement Learning for Intelligent Transportation Systems. - Hamid Fekri Azgomi, Mo M. Jamshidi:
A Brief survey on Smart Community and Smart Transportation. - Chang Sun, Lianne Ippel, Birgit Wouters, Johan van Soest, Alexander Malic, Onaopepo Adekunle, Bob van den Berg, Marco Puts, Ole Mussmann, Annemarie Koster, Carla van der Kallen, David Townend, Andre Dekker, Michel Dumontier:
Analyzing Partitioned FAIR Health Data Responsibly. - Irene Córdoba, Juan de Lara:
Ann: A domain-specific language for the effective design and validation of Java annotations. - Hashim A. Hashim, Lyndon J. Brown, Kenneth A. McIsaac:
Nonlinear Stochastic Position and Attitude Filter on the Special Euclidean Group 3. - Md. Redowan Mahmud, Rajkumar Buyya:
Modelling and Simulation of Fog and Edge Computing Environments using iFogSim Toolkit. - Robert J. Colvin, Graeme Smith:
A high-level operational semantics for hardware weak memory models. - Linlin Yang, Angela Yao:
Disentangling Latent Hands for Image Synthesis and Pose Estimation. - Ahmed Arafa, Sennur Ulukus:
Timely Updates in Energy Harvesting Two-hop Networks: Offline and Online Policies. - Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer:
DeepVoxels: Learning Persistent 3D Feature Embeddings. - Afshin Sadeghi, Sarven Capadisli, Johannes Wilm, Christoph Lange, Philipp Mayr:
Automatically Annotating Articles Towards Opening and Reusing Transparent Peer Reviews. - Ximeng Sun, Huijuan Xu, Kate Saenko:
A Two-Stream Variational Adversarial Network for Video Generation. - Chowdhury Rafeed Rahman, Preetom Saha Arko, Mohammed Eunus Ali, Mohammad Ashik Iqbal Khan, Abu Wasif, Md. Rafsan Jani, Md. Shahjahan Kabir:
Identification and Recognition of Rice Diseases and Pests Using Deep Convolutional Neural Networks. - Xue Feng, Nicholas J. Tustison, Craig H. Meyer:
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features. - Hamid Reza Vaezi Joze, Oscar Koller:
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language. - Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou:
Transferring Knowledge across Learning Processes. - Nikhil Kotecha:
Bach2Bach: Generating Music Using A Deep Reinforcement Learning Approach. - Mohammad Raji, Behzad Montazeri:
On the Relationship Between Modularity and Stability in Software Packages. - Damien Busatto-Gaston, Benjamin Monmege, Pierre-Alain Reynier:
Symbolic Approximation of Weighted Timed Games. - Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang, Madalin Mihailescu, Ariel Sibilia, Ahmed Bilal Ashraf, Babak Taati:
A Hybrid Instance-based Transfer Learning Method. - Ishan Bhatnagar, Shubhang Bhatnagar:
QR code denoising using parallel Hopfield networks. - Hyunkwang Lee, Chao Huang, Sehyo Yune, Shahein H. Tajmir, Myeongchan Kim, Synho Do:
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction. - Sharon Shoham:
Undecidability of Inferring Linear Integer Invariants. - Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola:
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization. - Patricia Vitoria, Joan Sintes, Coloma Ballester:
Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks. - Peter Henderson, Emma Brunskill:
Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research. - Carlos Sarraute, Martin Minnoni:
Brief survey of Mobility Analyses based on Mobile Phone Datasets. - Humayun Irshad, Qazaleh Mirsharif, Jennifer Prendki:
Crowd Sourcing based Active Learning Approach for Parking Sign Recognition. - Zhiyu Sun, Jia Lu, Stephen Baek:
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation. - Jacqueline Brixey, Ramesh R. Manuvinakurike, Nham Le, Tuan Manh Lai, Walter Chang, Trung Bui:
A System for Automated Image Editing from Natural Language Commands. - Nathaniel Braman, David Beymer, Ehsan Dehghan:
Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network. - Sebastian Caldas, Peter Wu, Tian Li, Jakub Konecný, H. Brendan McMahan, Virginia Smith, Ameet Talwalkar:
LEAF: A Benchmark for Federated Settings. - Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian:
Correspondence Analysis of Government Expenditure Patterns. - João Caldeira, Alex Fout, Aniket Kesari, Raesetje Sefala, Joseph Walsh, Katy Dupre, Muhammad Rizal Khaefi, Setiaji, George Hodge, Zakiya Aryana Pramestri, Muhammad Adib Imtiyazi:
Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia. - Georgy Derevyanko, Guillaume Lamoureux:
TorchProteinLibrary: A computationally efficient, differentiable representation of protein structure. - Cristian Rusu:
On learning with shift-invariant structures. - Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann, J. Marius Zöllner:
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning. - Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman:
Mitigating Planner Overfitting in Model-Based Reinforcement Learning. - Hamidreza Tavafoghi, Yi Ouyang, Demosthenis Teneketzis:
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part I: Non-Strategic Agents. - Hamidreza Tavafoghi, Yi Ouyang, Demosthenis Teneketzis:
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part II: Strategic Agents. - Vibhuti Gupta, Rattikorn Hewett:
Unleashing the Power of Hashtags in Tweet Analytics with Distributed Framework on Apache Storm. - Mehran Elyasi, Soheil Mohajer:
Determinant Codes with Helper-Independent Repair for Single and Multiple Failures. - Philip R. Cohen:
Back to the Future for Dialogue Research: A Position Paper. - Anik Islam, Mohammed Belal Uddin, Md. Fazlul Kader, Soo Young Shin:
Blockchain based secure data handover scheme in non-orthogonal multiple access. - Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit:
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. - Sifei Luan, Di Yang, Koushik Sen, Satish Chandra:
Aroma: Code Recommendation via Structural Code Search. - Hugo A. Akitaya, Erik D. Demaine, Takashi Horiyama, Thomas C. Hull, Jason S. Ku, Tomohiro Tachi:
Rigid Foldability is NP-Hard. - Aaron Potechin:
Sum of squares bounds for the total ordering principle. - Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Pre-Defined Sparse Neural Networks with Hardware Acceleration. - Erik D. Demaine, Martin L. Demaine, David A. Huffman, Duks Koschitz, Tomohiro Tachi:
Conic Crease Patterns with Reflecting Rule Lines. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
On incompressible high order networks. - Md. Fazlul Kader, Mohammed Belal Uddin, Soo Young Shin:
Capacity and outage analysis of a dual-hop decode-and-forward relay-aided NOMA scheme. - Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau:
Deep Generative Modeling of LiDAR Data. - Jeffrey L. Krichmar, William Severa, Salar M. Khan, James Leland Olds:
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future. - Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. - Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. - Wenjin Wu, Guojun Liu, Hui Ye, Chenshuang Zhang, Tianshu Wu, Daorui Xiao, Wei Lin, Xiaoyu Zhu:
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search. - Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon:
Learning to Fuse Things and Stuff. - Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. - Pragna Mannam, Alexander Volkov Jr., Robert Paolini, Gregory S. Chirikjian, Matthew T. Mason:
Sensorless Pose Determination using Randomized Action Sequences. - Nadisanka Rupasinghe, Yavuz Yapici, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Enhancing Physical Layer Security for NOMA Transmission in mmWave Drone Networks. - Junjie Wang, Bihuan Chen, Lei Wei, Yang Liu:
Superion: Grammar-Aware Greybox Fuzzing. - Sina Dabiri, Kevin P. Heaslip:
Twitter-based traffic information system based on vector representations for words. - Roohollah Etemadi, Jianguo Lu:
PES: Priority Edge Sampling in Streaming Triangle Estimation. - Gandeva Bayu Satrya, Soo Young Shin:
Evolutionary Computing Approach to Optimize Superframe Scheduling on Industrial Wireless Sensor Networks. - Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin:
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks. - Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. - Zhiyu Liu, Bo Wu, Jin Dai, Hai Lin:
Distributed Communication-aware Motion Planning for Networked Mobile Robots under Formal Specifications. - Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro:
Practical Text Classification With Large Pre-Trained Language Models. - Soroush Khaleghi, Wenjing Rao:
Repairability Enhancement of Scalable Systems with Locally Shared Spares. - Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi:
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination. - Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann:
Prototype-based Neural Network Layers: Incorporating Vector Quantization. - Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Parameter Re-Initialization through Cyclical Batch Size Schedules. - Masataro Asai:
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions. - Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu:
Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks. - Julian Büchel, Okan K. Ersoy:
Ladder Networks for Semi-Supervised Hyperspectral Image Classification. - Zhiyuan Jiang, Ziyan He, Sheng Chen, Andreas F. Molisch, Sheng Zhou, Zhisheng Niu:
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation. - Jason Y. Zhang, Anca D. Dragan:
Learning from Intended Corrections. - Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Vine Copula Models For Synthetic Data Generation. - Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould:
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. - Roei Herzig, Elad Levi, Huijuan Xu, Eli Brosh, Amir Globerson, Trevor Darrell:
Classifying Collisions with Spatio-Temporal Action Graph Networks. - Zhuoran Shen, Mingyuan Zhang, Shuai Yi, Junjie Yan, Haiyu Zhao:
Factorized Attention: Self-Attention with Linear Complexities. - Hongyu Xiong, Ruixiao Sun:
Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation. - Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Shuguang Cui, Zhisheng Niu:
A Two-Step Learning and Interpolation Method for Location-Based Channel Database. - Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo:
Quantification and Analysis of Scientific Language Variation Across Research Fields. - Tuhin Sarkar, Alexander Rakhlin:
How fast can linear dynamical systems be learned? - Mohammad Naghshvar, Ahmed K. Sadek, Auke J. Wiggers:
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty. - George Larionov, Zachary Kaden, Hima Varsha Dureddy, Gabriel Bayomi Tinoco Kalejaiye, Mihir Kale, Srividya Pranavi Potharaju, Ankit Parag Shah, Alexander I. Rudnicky:
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture. - Shohei Yamamoto, Antonio Tejero-de-Pablos, Yoshitaka Ushiku, Tatsuya Harada:
Conditional Video Generation Using Action-Appearance Captions. - Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada:
Multimodal Explanations by Predicting Counterfactuality in Videos. - (Withdrawn) A Game-Theoretic Learning Framework for Multi-Agent Intelligent Wireless Networks.
- Szu-Yu Chou, Kai-Hsiang Cheng, Jyh-Shing Roger Jang, Yi-Hsuan Yang:
Learning to match transient sound events using attentional similarity for few-shot sound recognition. - Sanchayan Santra, Ranjan Mondal, Pranoy Panda, Nishant Mohanty, Shubham Bhuyan:
Image Dehazing via Joint Estimation of Transmittance Map and Environmental Illumination. - Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. - Kin Wah Edward Lin, Balamurali B. T., Enyan Koh, Simon Lui, Dorien Herremans:
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. - Atsushi Kanehira, Tatsuya Harada:
Learning to Explain with Complemental Examples. - Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra:
Towards Continuous Domain adaptation for Healthcare. - Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura:
Rare Event Detection using Disentangled Representation Learning. - Yujun Shen, Bolei Zhou, Ping Luo, Xiaoou Tang:
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis. - Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Timeception for Complex Action Recognition. - (Withdrawn) Understanding Information Centrality Metric: A Simulation Approach.
- Pablo Fondo-Ferreiro, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga:
QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregates in Software-Defined Networks. - Pablo Fondo-Ferreiro, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga:
Implementing energy saving algorithms for Ethernet link aggregates with ONOS. - Yushan Gao, Thomas Blumensath:
BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems. - Ulrich Dorsch, Stefan Milius, Lutz Schröder:
Graded Monads for the Linear Time - Branching Time Spectrum. - Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun:
JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. - Herman J. Haverkort:
Finding the vertices of the convex hull, even unordered, takes Omega(n log n) time - a proof by reduction from epsilon-closeness. - Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U. Perrinet:
From biological vision to unsupervised hierarchical sparse coding. - Cong Chen, Paolo Penna, Yinfeng Xu:
Online scheduling of jobs with favorite machines. - Blesson Varghese, Massimo Villari, Omer F. Rana, Philip James, Tejal Shah, Maria Fazio, Rajiv Ranjan:
Realizing Edge Marketplaces: Challenges and Opportunities. - Paulo Vitor de Campos Souza, Augusto Junio Guimarães, Vanessa Souza Araujo, Thiago Silva Rezende, Vinicius Jonathan Silva Araujo:
Regularized Fuzzy Neural Networks to Aid Effort Forecasting in the Construction and Software Development. - Mathieu Carrière, Raul Rabadan:
Topological Data Analysis of Single-cell Hi-C Contact Maps. - Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos. - Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe:
Megaphone: Live state migration for distributed streaming dataflows. - Siddharth Garg, Zahra Ghodsi, Carmit Hazay, Yuval Ishai, Antonio Marcedone, Muthuramakrishnan Venkitasubramaniam:
Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation. - Xiaoguang Lin, Yang Yong, Zhang Ju:
Design and implementation of smart cooking based on amazon echo. - Zelin Zhao, Gao Peng, Haoyu Wang, Haoshu Fang, Chengkun Li, Cewu Lu:
Estimating 6D Pose From Localizing Designated Surface Keypoints. - Jan Brabec, Lukás Machlica:
Bad practices in evaluation methodology relevant to class-imbalanced problems. - Roman E. Rolón, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner:
A multi-class structured dictionary learning method using discriminant atom selection. - Devraj Mandal, Pramod Rao, Soma Biswas:
A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction. - Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai:
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection. - Vahid Garousi, Markus Borg, Markku Oivo:
Cut to the chase: Revisiting the relevance of software engineering research. - Harkirat Singh Behl, Mohammad Najafi, Philip H. S. Torr:
Meta Learning Deep Visual Words for Fast Video Object Segmentation. - Wei Zeng, Sezer Karaoglu, Theo Gevers:
Inferring Point Clouds from Single Monocular Images by Depth Intermediation. - Zhan Yang, Osolo Ian Raymond, Wuqing Sun, Jun Long:
Deep Attention-guided Hashing. - Tao Liu, Jie Huang:
Discrete-Time Distributed Observers over Jointly Connected Switching Networks and an Application. - Vincent Schellekens, Laurent Jacques:
Compressive Classification (Machine Learning without learning). - Mikhail Karchevskiy, Insaf Ashrapov, Leonid Kozinkin:
Automatic salt deposits segmentation: A deep learning approach. - Bohdan Khomtchouk, Shyam Sudhakaran:
Modeling natural language emergence with integral transform theory and reinforcement learning. - Mehdi Hosseinzadeh, Guy Albert Dumont, Emanuele Garone:
Constrained Control of Depth of Hypnosis During Induction Phase. - Stefan Wagner, Matthias Tichy, Michael Felderer, Stefan Leue:
Verlässliche Software im 21. Jahrhundert. - Marco Pulimeno, Italo Epicoco, Massimo Cafaro:
Distributed mining of time-faded heavy hitters. - Qingguo Xiao, Guangyao Li, Qiaochuan Chen:
Deep Inception Generative Network for Cognitive Image Inpainting. - S. M. Dhannya, N. S. Narayanaswamy:
Conflict-Free Colouring using Maximum Independent Set and Minimum Colouring. - Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman:
The Visual Centrifuge: Model-Free Layered Video Representations. - Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht:
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. - Sushree Sangeeta Behera, Bappaditya Mandal, Niladri B. Puhan:
Cross-spectral Periocular Recognition: A Survey. - Enrico Piovano, Hamdi Joudeh, Bruno Clerckx:
Centralized and Decentralized Cache-Aided Interference Management in Heterogeneous Parallel Channels. - Michal Hledík, Thomas R. Sokolowski, Gasper Tkacik:
A Tight Upper Bound on Mutual Information. - Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis:
Matrix Factorization via Deep Learning. - Nuno M. G. Paulino, Mathias Foo, Jongmin Kim, Declan G. Bates:
On the stability of nucleic acid feedback controllers. - Suman Banerjee, Rogers Mathew:
An Inapproximability Result for the Target Set Selection Problem on Bipartite Graphs. - Brett K. Beaulieu-Jones, William Yuan, Samuel G. Finlayson, Zhiwei Steven Wu:
Privacy-Preserving Distributed Deep Learning for Clinical Data. - (Withdrawn) Hyperbolic Embeddings for Learning Options in Hierarchical Reinforcement Learning.
- Saket Tiwari, Philip S. Thomas:
Natural Option Critic. - Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. - Zuoyue Li, Jan Dirk Wegner, Aurélien Lucchi:
PolyMapper: Extracting City Maps using Polygons. - Rui Portocarrero Sarmento, André Tarrinho, Pedro Câmara, Vera Costa:
A System for Efficient Communication between Patients and Pharmacies. - Fei Wang, Zhenjiang Li, Jinsong Han:
Continuous User Authentication by Contactless Wireless Sensing. - Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella:
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems. - Imane Fouad, Nataliia Bielova, Arnaud Legout, Natasa Sarafijanovic-Djukic:
Tracking the Pixels: Detecting Web Trackers via Analyzing Invisible Pixels. - Pawel Korus, Nasir D. Memon:
Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels. - Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
SurfConv: Bridging 3D and 2D Convolution for RGBD Images. - Daniele Salvati, Carlo Drioli, Gian Luca Foresti:
Localization and Tracking of an Acoustic Source using a Diagonal Unloading Beamforming and a Kalman Filter. - Hang Chu, Daiqing Li, Sanja Fidler:
A Face-to-Face Neural Conversation Model. - (Withdrawn) Leveraging Multi-grained Sentiment Lexicon Information for Neural Sequence Models.
- Yue Zhao, Maciej K. Hryniewicki, Zain Nasrullah, Zheng Li:
LSCP: Locally Selective Combination in Parallel Outlier Ensembles. - Behrooz Khadem, Siavosh Abedi, Isa Sa-adatyar:
An Idea to Increase the Security of EAP-MD5 Protocol Against Dictionary Attack. - Joan Solà, Jérémie Deray, Dinesh Atchuthan:
A micro Lie theory for state estimation in robotics. - Muhammad Abdul Wahab, Pascal Cotret, Mounir Nasr Allah, Guillaume Hiet, Arnab Kumar Biswas, Vianney Lapôtre, Guy Gogniat:
A small and adaptive coprocessor for information flow tracking in ARM SoCs. - Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane, Luke Oakden-Rayner:
Towards generative adversarial networks as a new paradigm for radiology education. - Takayuki Kihara, Alberto Marcone, Arno Pauly:
Searching for an analogue of ATR in the Weihrauch lattice. - Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers. - Rizwan Ahmed Khan, Arthur Crenn, Alexandre Meyer, Saïda Bouakaz:
A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE). - Tobias Christiani:
Optimal Boolean Locality-Sensitive Hashing. - Jeff Erickson, Yipu Wang:
Topologically Trivial Closed Walks in Directed Surface Graphs. - Netanel Raviv, Itzhak Tamo, Eitan Yaakobi:
Private Information Retrieval in Graph Based Replication Systems. - Neda Sakhaee, Mark C. Wilson:
Information Extraction Framework to Build Legislation Network. - Iris Rubi Seaman, Jan-Willem van de Meent, David Wingate:
Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs. - Yang Liu, Wenwu Wang, Volkan Kilic:
Intensity Particle Flow SMC-PHD Filter For Audio Speaker Tracking. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Multilevel MIMO Detection with Deep Learning. - Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg:
A Duality-Based Unified Approach to Bayesian Mechanism Design. - Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim:
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search. - Alina Ene, Huy L. Nguyen, Adrian Vladu:
A Parallel Double Greedy Algorithm for Submodular Maximization. - Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro:
Improving Semantic Segmentation via Video Propagation and Label Relaxation. - Alexander Pilz, Emo Welzl, Manuel Wettstein:
From Crossing-Free Graphs on Wheel Sets to Embracing Simplices and Polytopes with Few Vertices. - Kaushal Kafle, Kevin Moran, Sunil Manandhar, Adwait Nadkarni, Denys Poshyvanyk:
A Study of Data Store-based Home Automation. - Donglai Xiang, Hanbyul Joo, Yaser Sheikh:
Monocular Total Capture: Posing Face, Body, and Hands in the Wild. - Mahyar Najibi, Bharat Singh, Larry S. Davis:
AutoFocus: Efficient Multi-Scale Inference. - Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics from Video. - Keerti Choudhary, Omer Gold:
Diameter Spanner, Eccentricity Spanner, and Approximating Extremal Graph Distances: Static, Dynamic, and Fault Tolerant. - Jacob Menick, Nal Kalchbrenner:
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling. - Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. - Nicola Galesi, Fariba Ranjbar, Michele Zito:
Vertex-Connectivity Measures for Node Failure Identification in Boolean Network Tomography. - Nitish Nag, Ramesh C. Jain:
A Navigational Approach to Health. - Jian Peng, Hao Jiang, Zhuo Li, Enqiang Guo, Xiaohong Wan, Min Deng, Qing Zhu, Haifeng Li:
Overcoming Catastrophic Forgetting by Soft Parameter Pruning. - Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli:
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. - Oren Dovrat, Itai Lang, Shai Avidan:
Learning to Sample. - Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. - Tillman Weyde, Radha Manisha Kopparti:
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations. - Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. - Niranjan Hasabnis:
Auto-tuning TensorFlow Threading Model for CPU Backend. - Muhammad Abdul Wahab, Pascal Cotret, Mounir Nasr Allah, Guillaume Hiet, Arnab Kumar Biswas, Vianney Lapôtre, Guy Gogniat:
A novel lightweight hardware-assisted static instrumentation approach for ARM SoC using debug components. - Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Matthew Mattina:
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning. - Martin Beaudry:
Proving that a Tree Language is not First-Order Definable. - Ning Jin, Yilin Zhu, Zhenglin Geng, Ronald Fedkiw:
A Pixel-Based Framework for Data-Driven Clothing. - Yahui Sun:
Solving group Steiner problems as Steiner problems: the rigorous proof. - Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. - Tianhang Zheng, Changyou Chen, Junsong Yuan, Kui Ren:
Learning Saliency Maps for Adversarial Point-Cloud Generation. - Emil Björnson, Erik G. Larsson:
How Energy-Efficient Can a Wireless Communication System Become? - KouZi Xing:
Training for 'Unstable' CNN Accelerator: A Case Study on FPGA. - Tatsuki Koga, Naoki Nonaka, Jun Sakuma, Jun Seita:
General-to-Detailed GAN for Infrequent Class Medical Images. - Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee:
Spread of hate speech in online social media. - Haraldur Tómas Hallgrímsson, Filip Jankovic, Tim Althoff, Luca Foschini:
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data. - Gabriel Cadamuro, Aggrey Muhebwa, Jay Taneja:
Assigning a Grade: Accurate Measurement of Road Quality Using Satellite Imagery. - Éloi Brassard-Gourdeau, Richard Khoury:
Impact of Sentiment Detection to Recognize Toxic and Subversive Online Comments. - Zhenan Feng, Vicente A. González, Ling Ma, Mustafa M. A. Al-Adhami, Claudio Mourgues:
Rapid 3D Reconstruction of Indoor Environments to Generate Virtual Reality Serious Games Scenarios. - Sebastian Bujwid, Miquel Martí, Hossein Azizpour, Alessandro Pieropan:
GANtruth - an unpaired image-to-image translation method for driving scenarios. - Yingxue Zhang, Michael G. Rabbat:
A Graph-CNN for 3D Point Cloud Classification. - Ye Zhu, Sven Ewan Shepstone, Pablo Martínez-Nuevo, Miklas Strøm Kristoffersen, Fabien Moutarde, Zhuang Fu:
Multiview Based 3D Scene Understanding On Partial Point Sets. - Jinyin Chen, Haibin Zheng, Hui Xiong, Mengmeng Su:
FineFool: Fine Object Contour Attack via Attention. - Yuji Yoshimura, Bill Yang Cai, Zhoutong Wang, Carlo Ratti:
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence. - Ahmed Ashraf, Shehroz S. Khan, Nikhil Bhagwat, M. Mallar Chakravarty, Babak Taati:
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies. - Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly:
Towards Accurate Generative Models of Video: A New Metric & Challenges. - Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha:
Deep Learning for Classical Japanese Literature. - Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira:
Knowing what you know in brain segmentation using deep neural networks. - Mohamed Alzenad, Halim Yanikomeroglu:
Coverage and Rate Analysis for Unmanned Aerial Vehicle Base Stations with LoS/NLoS Propagation. - Seongkyu Mun, Suwon Shon:
Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion. - Dmytro Karamshuk, David Matthews:
Learning Cheap and Novel Flight Itineraries. - Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu:
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. - Yuan Yao, Hyun Soo Park:
Multiview Cross-supervision for Semantic Segmentation. - Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith:
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. - Sharad Mehrotra, Kerim Yasin Oktay, Shantanu Sharma:
Exploiting Data Sensitivity on Partitioned Data. - Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Learning Single-View 3D Reconstruction with Adversarial Training. - Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-based Complementary Product Recommendation. - Ghaith Hattab, Danijela Cabric:
Performance Analysis of Uplink Cellular IoT Using Different Deployments of Data Aggregators. - Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoît Naegel:
Cerebrovascular Network Segmentation on MRA Images with Deep Learning. - Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang:
Moment Matching for Multi-Source Domain Adaptation. - Miguel Arduengo, Luis Sentis:
Robot Economy: Ready or Not, Here It Comes. - Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski:
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. - Zachariah Carmichael, Seyed Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi:
Deep Positron: A Deep Neural Network Using the Posit Number System. - Dong Ma, Guohao Lan, Mahbub Hassan, Wen Hu, Mushfika Baishakhi Upama, Ashraf Uddin, Moustafa Youssef:
SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells. - Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. - Rohan Ghuge, Viswanath Nagarajan:
A Quasi-Polynomial Algorithm for Submodular Tree Orienteering in Directed Graphs. - Daniel Crankshaw, Gur-Eyal Sela, Corey Zumar, Xiangxi Mo, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
InferLine: ML Inference Pipeline Composition Framework. - Huanle Zhang, Ahmed Elmokashfi, Zhicheng Yang, Prasant Mohapatra:
Wireless Access to Ultimate Virtual Reality 360-Degree Video At Home. - Zhili Chen, Yu Wang, Shun Zhang, Hong Zhong, Lin Chen:
Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering. - (Withdrawn) Capture Dense: Markerless Motion Capture Meets Dense Pose Estimation.
- Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. - Balkis Abidi, Sadok Ben Yahia, Charith Perera:
Hybrid Microaggregation for Privacy-Preserving Data Mining. - Murat Pasa Uysal:
A Formal Method for Mapping Software Engineering Practices to Essence. - Sabah Al-Fedaghi, Mona Al-Otaibi:
Conceptual Modeling of a Procurement Process: Case study of RFP for Public Key Infrastructure. - Hedyeh Beyhaghi, S. Matthew Weinberg:
Optimal (and Benchmark-Optimal) Competition Complexity for Additive Buyers over Independent Items. - Jiaqi Chen, Xiaohu Ge, Qiang Ni:
Coverage and Handoff Analysis of 5G Fractal Small Cell Networks. - Shota Matsumoto, Ryota Yamanaka, Hirokazu Chiba:
Mapping RDF Graphs to Property Graphs. - Sourav Pal, Tharun Mohandoss, Pabitra Mitra:
Visual Attention for Behavioral Cloning in Autonomous Driving. - Haichuan Yang, Yuhao Zhu, Ji Liu:
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. - Huangyi Ge, Sze Yiu Chau, Ninghui Li:
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples. - Chia-Wei Chen, Sheng-Chuan Chou, Lun-Wei Ku:
Enriching Article Recommendation with Phrase Awareness. - Adam Sadilek, Stephanie Caty, Lauren DiPrete, Raed Mansour, Tom Schenk Jr., Mark Bergtholdt, Ashish Jha, Prem Ramaswami, Evgeniy Gabrilovich:
Machine-learned epidemiology: real-time detection of foodborne illness at scale. - Stephen Mussmann, Percy Liang:
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss. - Masataro Asai:
Photo-Realistic Blocksworld Dataset. - Mengya Gao, Yujun Shen, Quanquan Li, Chen Change Loy, Xiaoou Tang:
Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer. - Yifan Chen, Yevgeniy Vorobeychik:
Regularized Ensembles and Transferability in Adversarial Learning. - Guangyan Hu, Desheng Zhang, Sandro Rigo, Thu D. Nguyen:
Approximation with Error Bounds in Spark. - Peixi Peng, Junliang Xing, Lu Pang:
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration. - Piyush Mital, Saurabh Agarwal, Bhargavi Neti, Yashodhara Haribhakta, Vibhavari Kamble, Krishnanjan Bhattacharjee, Debashri Das, Swati Mehta, Ajai Kumar:
Graph based Question Answering System. - Chiranjib Saha, Harpreet S. Dhillon, Naoto Miyoshi, Jeffrey G. Andrews:
Unified Analysis of HetNets using Poisson Cluster Process under Max-Power Association. - Ignacio Cano, Lequn Chen, Pedro Fonseca, Tianqi Chen, Chern Cheah, Karan Gupta, Ramesh Chandra, Arvind Krishnamurthy:
ADARES: Adaptive Resource Management for Virtual Machines. - Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang:
Knowledge Distillation from Few Samples. - Guanyu Li, Pengfei Zhang, Caiyan Jia:
Attention Boosted Sequential Inference Model. - Dmitry Malioutov, Kuldeep S. Meel:
MLIC: A MaxSAT-Based framework for learning interpretable classification rules. - Jaiyam Sharma, Saket Navlakha:
Improving Similarity Search with High-dimensional Locality-sensitive Hashing. - Zongyi Zhao, Xingang Shi, Xia Yin, Zhiliang Wang:
HashFlow For Better Flow Record Collection. - Dusan Knop, Martin Koutecký, Matthias Mnich:
Voting and Bribing in Single-Exponential Time. - Frédéric Blanqui, Guillaume Genestier:
Termination of λΠ modulo rewriting using the size-change principle (work in progress). - Jiaxin Shi, Hanwang Zhang, Juanzi Li:
Explainable and Explicit Visual Reasoning over Scene Graphs. - Sylvain Bouveret, Katarína Cechlárová, Julien Lesca:
Chore division on a graph. - Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich:
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. - Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-shot Object Detection via Feature Reweighting. - Kai Lei, Shangchun Si, Desi Wen, Ying Shen:
An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training. - Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. - Kai Lei, Kaiqi Yuan, Qiang Zhang, Ying Shen:
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs. - Ying Shen, Qiang Zhang, Jin Zhang, Jiyue Huang, Yuming Lu, Kai Lei:
Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding. - Benjamin Matthiss, Arghavan Momenifarahani, Kay Ohnmeiss, Martin Felder:
Influence of Demand and Generation Uncertainty on the Operational Efficiency of Smart Grids. - Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu:
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. - Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation. - Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen:
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. - Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu:
Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. - Yingbo Ma, Vaibhav Dixit, Michael J. Innes, Xingjian Guo, Christopher Rackauckas:
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions. - Mariam Zouari, Nesrine Baklouti, Javier J. Sánchez Medina, Mounir Ben Ayed, Adel M. Alimi:
An Evolutionary Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (EHIT2FKRS) for Travel Route Assignment. - Wei Shen, Rujie Liu:
Learning to generate filters for convolutional neural networks. - Niko Reunanen, Ville Könönen, Hermanni Hälvä, Jani Mäntyjärvi, Arttu Lämsä, Jussi Liikka:
Computational Graph Approach for Detection of Composite Human Activities. - Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann:
Local Temporal Bilinear Pooling for Fine-grained Action Parsing. - Yan Zhang, Heiko Neumann:
An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls. - Qiankun Yu, Jigang Wu, Long Chen:
POEM: Pricing Longer for Edge Computing in the Device Cloud. - Jia Guo, Jiankang Deng, Niannan Xue, Stefanos Zafeiriou:
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment. - Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. - Swapneel Mehta, Prasanth Kothuri, Daniel Lanza Garcia:
Anomaly Detection for Network Connection Logs. - Ke Ma, Qianqian Xu, Xiaochun Cao:
Robust Ordinal Embedding from Contaminated Relative Comparisons. - Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli, Sezer Karaoglu, Theo Gevers:
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild. - Renaud-Alexandre Pitaval:
Time-Frequency Selective MIMO Precoding for OFDM with Insufficient CP. - Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer:
Closing the gap between software engineering education and industrial needs. - Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken:
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification. - Stefan Nothaas, Kevin Beineke, Michael Schöttner:
Ibdxnet: Leveraging InfiniBand in Highly Concurrent Java Applications. - Joseph Bethge, Marvin Bornstein, Adrian Loy, Haojin Yang, Christoph Meinel:
Training Competitive Binary Neural Networks from Scratch. - Jielei Chu, Tianrui Li, Hongjun Wang, Jing Liu, Hua Meng:
Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering. - Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Summarizing Videos with Attention. - Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge:
VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability. - Siddharth Bhandari, Prahladh Harsha, Tulasimohan Molli, Srikanth Srinivasan:
On the Probabilistic Degree of OR over the Reals. - Tomohiko Konno, Hodaka Kurokawa, Fuyuki Nabeshima, Yuki Sakishita, Ryo Ogawa, Iwao Hosako, Atsutaka Maeda:
Deep Learning Model for Finding New Superconductors. - Adam Badawy, Aseel Addawood, Kristina Lerman, Emilio Ferrara:
Characterizing the 2016 Russian IRA Influence Campaign. - Uli Fahrenberg, Christian Johansen, Christopher Trotter, Krzysztof Ziemianski:
Sculptures in Concurrency. - Liehuang Zhu, Baokun Zheng, Meng Shen, Shui Yu, Feng Gao, Hongyu Li, Kexin Shi, Keke Gai:
Research on the Security of Blockchain Data: A Survey. - Stefan Milius, Henning Urbat:
Equational Axiomatization of Algebras with Structure. - Menglin Wang, Baisheng Lai, Zhongming Jin, Xiaojin Gong, Jianqiang Huang, Xiansheng Hua:
Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction. - Kook Jin Ahn, Graham Cormode, Sudipto Guha, Andrew McGregor, Anthony Wirth:
Correlation Clustering in Data Streams. - Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang:
Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission. - Haipeng Jia, Xueshuang Xiang, Da Fan, Meiyu Huang, Changhao Sun, Qingliang Meng, Yang He, Chen Chen:
DropPruning for Model Compression. - Robert Ganian, N. S. Narayanaswamy, Sebastian Ordyniak, C. S. Rahul, M. S. Ramanujan:
On the Complexity Landscape of Connected f -Factor Problems. - Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara:
Learn to See by Events: RGB Frame Synthesis from Event Cameras. - Vahid Aref:
Nonlinear Fourier Transform of Truncated Multi-Soliton Pulses. - Shile Li, Dongheui Lee:
Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer. - Milad Khaledyan, Tairan Liu, Marcio S. de Queiroz:
Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents. - Jinyuan Jia, Neil Zhenqiang Gong:
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. - Cristobal Camarero:
Simple, Fast and Practicable Algorithms for Cholesky, LU and QR Decomposition Using Fast Rectangular Matrix Multiplication. - Bernhard C. Geiger:
A Short Note on the Jensen-Shannon Divergence between Simple Mixture Distributions. - Qiaoying Huang, Xiao Chen, Mariappan S. Nadar:
End-to-end Segmentation with Recurrent Attention Neural Network. - Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High Speed Driving with a Deep Dynamic Observer. - Shuo Yang, Zhenzhe Zheng, Shaojie Tang, Fan Wu, Guihai Chen:
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing. - Sven Jacobsson, Ulf Gustavsson, Giuseppe Durisi, Christoph Studer:
Massive MU-MIMO-OFDM Uplink with Hardware Impairments: Modeling and Analysis. - Kubilay Atasu, Thomas Mittelholzer:
Low-Complexity Data-Parallel Earth Mover's Distance Approximations. - Vahid Aref, Son T. Le, Henning Bülow:
An Efficient Nonlinear Fourier Transform Algorithm for Detection of Eigenvalues from Continuous Spectrum. - Hadil Abukwaik, Mohammed Abufouda, Thejashree Nair, H. Dieter Rombach:
How practical is it? Machine Learning for Identifying Conceptual Interoperability Constraints in API Documents. - Jérémie Chalopin, Victor Chepoi, Shay Moran, Manfred K. Warmuth:
Unlabeled sample compression schemes and corner peelings for ample and maximum classes. - Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. - Christian Jilek, Markus Schröder, Rudolf Novik, Sven Schwarz, Heiko Maus, Andreas Dengel:
Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications. - Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang:
Learning Attraction Field Representation for Robust Line Segment Detection. - Sebastian A. Nugroho, Ahmad F. Taha, Christian G. Claudel:
A Control-Theoretic Approach for Modeling, Classification, and Robust Traffic Density Estimation. - Michael Segundo Ortiz, Kazuhiro Seki, Javed Mostafa:
Toward Exploratory Search in Biomedicine: Evaluating Document Clusters by MeSH as a Semantic Anchor. - Abdullah Hamdi, Matthias Müller, Bernard Ghanem:
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications. - Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
Integrated unpaired appearance-preserving shape translation across domains. - Felix Haub, Thorsten Laude, Jörn Ostermann:
HEVC Inter Coding Using Deep Recurrent Neural Networks and Artificial Reference Pictures. - Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen:
End-to-end contextual speech recognition using class language models and a token passing decoder. - Jordan Barrett, Christopher Duffy, Richard J. Nowakowski:
The Spread of Voting Attitudes in Social Networks. - Vijay Arya, Sayandeep Sen, Palanivel A. Kodeswaran:
Blockchain Enabled Trustless API Marketplace. - Tristan Deleu, Yoshua Bengio:
The effects of negative adaptation in Model-Agnostic Meta-Learning. - Bruno Messias, Luciano da F. Costa:
Characterization and space embedding of directed graphs and social networks through magnetic Laplacians. - Xiaoxiao Sun, Liang Zheng:
Dissecting Person Re-identification from the Viewpoint of Viewpoint. - Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie:
Comparative Document Summarisation via Classification. - Siddharth Mayya, Pietro Pierpaoli, Magnus Egerstedt:
Voluntary Retreat for Decentralized Interference Reduction in Robot Swarms. - Jens Grubert, Eyal Ofek, Michel Pahud, Per Ola Kristensson:
The Office of the Future: Virtual, Portable and Global. - Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek:
Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems. - Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André Carlos Ponce de Leon Ferreira de Carvalho:
An empirical study on hyperparameter tuning of decision trees. - Danial Davarnia, John N. Hooker:
Consistency for 0-1 Programming. - Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess:
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction. - John N. Hooker:
Truly Autonomous Machines Are Ethical. - Praneet Singh, Kedar Deshpande:
Performance Evaluation of Cryptographic Ciphers on IoT Devices. - Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner:
Towards a Definition of Disentangled Representations. - Kyle Butt, Derek Sorensen, Michael Stay:
Casanova. - Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani:
Efficient and Robust Machine Learning for Real-World Systems. - Henk Barendregt:
Gems of Corrado Böhm. - Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman:
Photo Wake-Up: 3D Character Animation from a Single Photo. - Hao Lou, Farzad Farnoud, Moshe Schwartz, Jehoshua Bruck:
Evolution of k-mer Frequencies and Entropy in Duplication and Substitution Mutation Systems. - Aditi Chaudhary, Bhargavi Paranjape, Michiel de Jong:
Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. - Huan Gao, Yongqiang Wang:
Dynamics Based Privacy Protection for Average Consensus on Directed Graphs. - Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave, Steven Bohez, Yuval Tassa, Dan Belov, Nicolas Heess, Martin A. Riedmiller:
Relative Entropy Regularized Policy Iteration. - Houssem Ben Braiek, Foutse Khomh:
On Testing Machine Learning Programs. - Haimonti Dutta, Nitin Nataraj:
GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs. - David López-Pérez, Ming Ding:
A Brief History on the Theoretical Analysis of Dense Small Cell Wireless Networks. - Ruishan Liu, Nicoló Fusi, Lester Mackey:
Model Compression with Generative Adversarial Networks. - Yilei Zeng, Anna Sapienza, Emilio Ferrara:
The Influence of Social Ties on Performance in Team-based Online Games. - Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu:
Differentially Private Data Generative Models. - Alistair E. W. Johnson, Tom J. Pollard, Tristan Naumann:
Generalizability of predictive models for intensive care unit patients. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Differential Privacy Techniques for Cyber Physical Systems: A Survey. - Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar:
Adversarially Learned Anomaly Detection. - Srijan Kumar, Xikun Zhang, Jure Leskovec:
Learning Dynamic Embeddings from Temporal Interactions. - Xiangyun Tang, Liehuang Zhu, Meng Shen, Xiaojiang Du:
When Homomorphic Cryptosystem Meets Differential Privacy: Training Machine Learning Classifier with Privacy Protection. - Yaling Tao, Kentaro Takagi, Kouta Nakata:
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets. - Kamil Bujel, Feiko Lai, Michal Szczecinski, Winnie So, Miguel Fernandez:
Solving High Volume Capacitated Vehicle Routing Problem with Time Windows using Recursive-DBSCAN clustering algorithm. - Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. - Tahsin Mostafiz, Khalid Ashraf:
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study. - Mario Graff, Sabino Miranda-Jiménez, Eric Sadit Tellez, Daniela Moctezuma:
EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis. - Jan Kremer, Lasse Borgholt, Lars Maaløe:
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition. - Saïd Abdeddaïm, Sylvestre Vimard, Lina Fatima Soualmia:
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain. - Edouard Fournier, Stéphane Grihon, Thierry Klein:
A case study : Influence of Dimension Reduction on regression trees-based Algorithms -Predicting Aeronautics Loads of a Derivative Aircraft. - Danilo Barros Mendes, Nilton Correia da Silva:
Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images. - Yilun Zhu, Yang Liu, Siyao Peng, Austin Blodgett, Yushi Zhao, Nathan Schneider:
Adpositional Supersenses for Mandarin Chinese. - Lida Zhang, Diego Klabjan:
Layer Flexible Adaptive Computational Time for Recurrent Neural Networks. - Daniel Philps, Tillman Weyde, Artur S. d'Avila Garcez, Roy Batchelor:
Continual Learning Augmented Investment Decisions. - Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman:
Quantifying Generalization in Reinforcement Learning. - Dae Young Park, Kwang Hee Lee:
Arbitrary Style Transfer with Style-Attentional Networks. - Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang:
Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation. - Qiongzheng Lin, Zhenlin An, Lei Yang:
Rebooting Ultrasonic Positioning Systems for Ultrasound-incapable Smart Devices. - Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Context-Aware Synthesis and Placement of Object Instances. - Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi:
Top-K Off-Policy Correction for a REINFORCE Recommender System. - Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. - Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
dynnode2vec: Scalable Dynamic Network Embedding. - Zeyad A. Al-Odat, Sudarshan K. Srinivasan, Eman Al-qtiemat, Mohana Asha Latha Dubasi, Sana Shuja:
IoT-Based Secure Embedded Scheme for Insulin Pump Data Acquisition and Monitoring. - Suin Kang, Hye Min Kim, Huy Kang Kim:
Trustworthy Smart Band: Security Requirement Analysis with Threat Modeling. - Muhammad Farhan, Qing Wang, Yu Lin, Brendan D. McKay:
A Highly Scalable Labelling Approach for Exact Distance Queries in Complex Networks. - Miguel Sepulcre, Javier Gozálvez:
Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks. - Pratik Jayarao, Chirag Jain, Aman Srivastava:
Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems. - Dingzhu Wen, Guangxu Zhu, Kaibin Huang:
Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks. - Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong:
DNQ: Dynamic Network Quantization. - Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding Scene Graphs for Image Captioning. - Cheng Xu, Ce Zhang, Jianliang Xu:
vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases. - Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
A Converse Bound for Cache-Aided Interference Networks. - Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. - Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. - Takayuki Katsuki, Takayuki Osogami, Akira Koseki, Masaki Ono, Michiharu Kudo, Masaki Makino, Atsushi Suzuki:
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps. - Semih Agcaer, Rainer Martin:
Binaural Source Localization based on Modulation-Domain Features and Decision Pooling. - Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
Trained Rank Pruning for Efficient Deep Neural Networks. - Mijung Kim, Olivier Janssens, Ho-min Park, Jasper Zuallaert, Sofie Van Hoecke, Wesley De Neve:
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning. - Siddharth Pramod:
Elastic Gossip: Distributing Neural Network Training Using Gossip-like Protocols. - Prashant Gupta, Bala Krishnamoorthy:
Euler Transformation of Polyhedral Complexes. - Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Self-supervised Learning of Dense Shape Correspondence. - Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. - Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. - Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar, Ranjan Ramachandra, Santanu Bhattacharya:
A Review of Homomorphic Encryption Libraries for Secure Computation. - Julian Kullick, Christoph M. Hackl:
Generic machine identification and maximum efficiency operation of induction machines. - Dan Liu, Junhua Liu, Wu Guo, Shifu Xiong, Zhiqiang Ma, Rui Song, Chongliang Wu, Quan Liu:
The USTC-NEL Speech Translation system at IWSLT 2018. - Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. - Evgeny Izutov:
Fast and Accurate Person Re-Identification with RMNet. - Anand Mishra, Ajeet Kumar Singh:
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition. - Giovanni Sileno, Alexander Boer, Tom M. van Engers:
The Role of Normware in Trustworthy and Explainable AI. - Choorkunnu Narayanan Sminesh, Edward Grace Mary Kanaga, Ranjitha K.:
A Proactive Flow Admission and Re-Routing Scheme for Load Balancing and Mitigation of Congestion Propagation in SDN Data Plane. - Ram Krishna Pandey, K. Vignesh, A. G. Ramakrishnan, Chandrahasa B:
Binary Document Image Super Resolution for Improved Readability and OCR Performance. - Fabio Molinari, Alexander Martin Dethof, Jörg Raisch:
Traffic Automation in Urban Road Networks Using Consensus-based Auction Algorithms For Road Intersections. - Vassilis C. Nicodemou, Iason Oikonomidis, Georgios Tzimiropoulos, Antonis A. Argyros:
Learning to Infer the Depth Map of a Hand from its Color Image. - David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens:
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. - Cem Orhan, Öznur Tastan:
Active Learning Methods based on Statistical Leverage Scores. - Peng Yang, Ke Tang, Xin Yao:
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization.