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CoRR, 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. - Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi:
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.