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ORCIDCoRR, December 2018
- Kazuto Fukuchi, Jun Sakuma:
Minimax Optimal Additive Functional Estimation with Discrete Distribution.
- Mingyuan Ma, Sen Na, Cong Xu, Xin Fan:
The Graph-based Broad Behavior-Aware Recommendation System for Interactive News. - Yu-Ki Lee, Zhonghua Xi, Young-Joo Lee, Yunhyeong Kim, Yue Hao, Young-Chang Joo, Changsoon Kim, Jyh-Ming Lien, In-Suk Choi:
Computational paper wrapping transforms non-stretchable 2D devices into wearable and conformable 3D devices. - Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas:
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. - Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid:
Modulated Policy Hierarchies. - Aaron J. Masino, Kaitlin A. Folweiler:
Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes. - David Castells-Rufas, Adrià Galin-Pons, Jordi Carrabina:
The Regulation of Unlicensed Sub-GHz bands: Are Stronger Restrictions Required for LPWAN-based IoT Success? - Tong Yu, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition. - Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. - Mauro Lucci, Graciela L. Nasini, Daniel Severín:
A Branch and Price Algorithm for List Coloring Problem. - Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. - Aous Karoui, Iza Marfisi-Schottman
, Sébastien George:
Mobile Learning Game Authoring Tools: Assessment, Synthesis and Proposals. - Rajesh P. N. Rao:
The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor. - Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp:
Learning Interpretable Rules for Multi-label Classification. - Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier:
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. - Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner:
Corresponding Projections for Orphan Screening. - David Bergman, Carlos Cardonha, Saharnaz Mehrani:
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation. - Zhan Tu, Fan Fei, Matthew Eagon, Xiangyu Zhang, Dongyan Xu, Xinyan Deng:
Redundancy-Free UAV Sensor Fault Isolation And Recovery. - Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny:
GDPP: Learning Diverse Generations Using Determinantal Point Process. - Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. - Yinghui Ye, Liqin Shi, Rose Qingyang Hu, Guangyue Lu:
Energy-efficient Resource Allocation for Wirelessly Powered Backscatter Communications. - Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl:
Scalable Graph Learning for Anti-Money Laundering: A First Look. - Rohan Padhye, Caroline Lemieux, Koushik Sen, Mike Papadakis, Yves Le Traon:
Zest: Validity Fuzzing and Parametric Generators for Effective Random Testing. - Liqin Shi, Yinghui Ye, Xiaoli Chu, Yangyang Zhang, Hailin Zhang:
Optimal Combining and Performance Analysis for Two-Way EH Relay Systems with TDBC Protocol. - Ionut-Gabriel Farcas, Tobias Görler, Hans-Joachim Bungartz, Frank Jenko, Tobias Neckel:
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis. - Liqin Shi, Wenchi Cheng, Yinghui Ye, Hailin Zhang, Rose Qingyang Hu:
Heterogeneous Power-Splitting Based Two-Way DF Relaying with Non-Linear Energy Harvesting. - Li Zhang, Heda Song, Haiping Lu:
Graph Node-Feature Convolution for Representation Learning. - Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis:
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment. - In-Ho Yi:
Parametric Denotational Semantics for Extensible Language Definition and Program Analysis. - Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer:
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. - Yixiu Zhao, Ziyin Liu:
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning. - Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney:
Understanding Unequal Gender Classification Accuracy from Face Images. - Mohamed Elfeki, Krishna Regmi, Shervin Ardeshir, Ali Borji:
From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval. - Mohamed Elfeki, Aidean Sharghi, Srikrishna Karanam, Ziyan Wu, Ali Borji:
Multi-View Egocentric Video Summarization. - Behnaz Arzani, Nicholas Iodice, Steven Hwang, Prahalad Venkataramanan, Roch Geurin, Boon Thau Loo:
Sunstar: A Cost-effective Multi-Server Solution for Reliable Video Delivery. - Swapneel Mehta, Chirag Raman, Nitin Ayer, Sameer Sahasrabudhe:
Auto-Grading for 3D Modeling Assignments in MOOCs. - Swapneel Mehta, Prasanth Kothuri, Daniel Lanza Garcia:
A Big Data Architecture for Log Data Storage and Analysis. - Honglei Liu, Anuj Kumar, Wenhai Yang, Benoît Dumoulin:
Explore-Exploit: A Framework for Interactive and Online Learning. - Masahito Hayashi:
Secure physical layer network coding versus secure network coding. - Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille:
Snapshot Distillation: Teacher-Student Optimization in One Generation. - Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia:
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. - Fabrice Benhamouda, Marc Joye:
How to Profile Privacy-Conscious Users in Recommender Systems. - Zheng Wang, Yang Huang, Shanxiang Lyu:
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization. - Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee:
Semi-Online Bipartite Matching. - Yujian Li:
Theory of Cognitive Relativity: A Promising Paradigm for True AI. - Meng Li, Yan Zhang, Haicheng She, Jinqiong Zhou, Jia Jia, Danmei He, Li Zhang:
Automated segmentaiton and classification of arterioles and venules using Cascading Dilated Convolutional Neural Networks. - Ashish Khetan, Harshay Shah, Sewoong Oh:
Number of Connected Components in a Graph: Estimation via Counting Patterns. - Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo:
Fuzzing: Art, Science, and Engineering. - Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu:
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. - Sooyeon Lee, Madison Reddie, Krish Gurdasani, Xiying Wang, Jordan Beck, Mary Beth Rosson, John M. Carroll:
Conversations for Vision: Remote Sighted Assistants Helping People with Visual Impairments. - Md. Shamim Hussain, Mohammad Ariful Haque:
SwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation. - Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Attacks and Submodular Optimization with Applications to Text Classification. - Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu:
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images. - Hiba Ahsan, Rahul Agrawal:
Approximating Categorical Similarity in Sponsored Search Relevance. - Yizhi Zhao:
Irregular Channel Polarization and Its Applications to Static Adversarial Wiretap Channel. - Gyeongbok Lee, Sungdong Kim, Seung-won Hwang:
QADiver: Interactive Framework for Diagnosing QA Models. - David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei:
Vision-Based Gait Analysis for Senior Care. - Jonathan Warrell, Hussein Mohsen, Mark Gerstein:
Rank Projection Trees for Multilevel Neural Network Interpretation. - Qi Sun, Yunzhe Tao, Qiang Du:
Stochastic Training of Residual Networks: a Differential Equation Viewpoint. - Zhouxing Shi, Minlie Huang:
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. - L. P. M. I. Sampath, Ashok Krishnan, Yi Shyh Eddy Foo, Hoay Beng Gooi:
Robust Optimal Energy and Reserve Management of Multiple-Microgrids via Cooperative Bidding. - Sean Saito, Sujoy Roy:
Effects of Loss Functions And Target Representations on Adversarial Robustness. - Fabian Schuiki, Michael Schaffner, Luca Benini:
NTX: An Energy-efficient Streaming Accelerator for Floating-point Generalized Reduction Workloads in 22nm FD-SOI. - S. Sheerazuddin, S. Anand, R. S. Anish Badhri:
A Scheme to Verify Services with Unboundedly many Clients using NuSMV. - Julia A. Meister, Raja Naeem Akram, Konstantinos Markantonakis:
Deep Learning Application in Security and Privacy - Theory and Practice: A Position Paper. - Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation among Multiple Operators. - Mei Wang, Weihong Deng, Jiani Hu, Jianteng Peng, Xunqiang Tao, Yaohai Huang:
Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation. - Trung Minh Nguyen, Thien Huu Nguyen:
One for All: Neural Joint Modeling of Entities and Events. - Ghada Dessouky, David Gens, Patrick Haney, Garrett Persyn, Arun K. Kanuparthi, Hareesh Khattri, Jason M. Fung, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran:
When a Patch is Not Enough - HardFails: Software-Exploitable Hardware Bugs. - Johannes Schiffer, Petros Aristidou, Romeo Ortega:
Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing. - Ziad Al-Halah, Andreas M. Lehrmann, Leonid Sigal:
Towards Traversing the Continuous Spectrum of Image Retrieval. - Ameet Deshpande, Harshavardhan P. K, Balaraman Ravindran:
Discovering hierarchies using Imitation Learning from hierarchy aware policies. - Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
Internal Distribution Matching for Natural Image Retargeting. - Junghyun Byun, Seungho Chae, Tack-Don Han:
Accurate control of a pan-tilt system based on parameterization of rotational motion. - Junghyun Byun, Seungho Chae, Yoonsik Yang, Tack-Don Han:
AIR: Anywhere Immersive Reality with User-Perspective Projection. - Kevin Shen, Amlan Kar, Sanja Fidler:
Lifelong Learning for Image Captioning by Asking Natural Language Questions. - Junghyun Byun, Tack-Don Han:
Fast and Accurate Reconstruction of Pan-Tilt RGB-D Scans via Axis Bound Registration. - Vladimir Braverman, Robert Krauthgamer, Lin F. Yang:
Universal Streaming of Subset Norms. - Karttikeya Mangalam, Mathieu Salzamann:
On Compressing U-net Using Knowledge Distillation. - Georgia Chalvatzaki, Petros Koutras, Jack Hadfield, Xanthi S. Papageorgiou, Costas S. Tzafestas, Petros Maragos:
On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollator. - Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas S. Tzafestas, Petros Maragos:
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task. - Diana Haidar, Mohamed Medhat Gaber, Yevgeniya Kovalchuk:
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection. - Irene Córdoba, Concha Bielza, Pedro Larrañaga:
Towards Gaussian Bayesian Network Fusion. - Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu, Suman Banerjee:
Characterizing Privacy Perceptions of Voice Assistants: A Technology Probe Study. - Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. - Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. - Hugo Prol, Vincent Dumoulin, Luis Herranz:
Cross-Modulation Networks for Few-Shot Learning. - Tony Mason, Ada Gavrilovska, David A. Joyner:
Collaboration Versus Cheating. - Daniel Neil, Joss Briody, Alix Lacoste, Aaron Sim, Páidí Creed, Amir Saffari:
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs. - Zhixuan Yu, Jae Shin Yoon, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park:
HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset. - Jie Xu, Wei Ding, Xiaoyan Hu:
VATE: a trade-off between memory and preserving time for high accuracy cardinalities estimation under sliding time window. - Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang:
Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks. - Sanmit Narvekar, Peter Stone:
Learning Curriculum Policies for Reinforcement Learning. - Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Nassir Navab, Federico Tombari:
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data. - Shubham Sahay, Dmitri B. Strukov:
A Behavioral Compact Model of 3D NAND Flash Memory. - Sagi Eppel:
Classifying a specific image region using convolutional nets with an ROI mask as input. - Edward Chou, Florian Tramèr, Giancarlo Pellegrino, Dan Boneh:
SentiNet: Detecting Physical Attacks Against Deep Learning Systems. - Matthew O'Kelly, Aman Sinha, Justin Norden, Hongseok Namkoong:
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation. - Maria Alejandra Rodriguez, Rajkumar Buyya:
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments. - Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li:
Plan-Recognition-Driven Attention Modeling for Visual Recognition. - Rajinder Sandhu, Adel Nadjaran Toosi, Rajkumar Buyya:
An API for Development of User Defined Scheduling Algorithms in Aneka PaaS Cloud Software. - Bruce McIntosh, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries. - Lijuan Jiang, Yongzhao Li, Yinghui Ye, Yunfei Chen, Ming Jin, Hailin Zhang:
Unilateral Left-Tail Anderson Darling Test Based Spectrum Sensing with Laplacian Noise. - Jiaping Ren, Wei Xiang, Yangxi Xiao, Ruigang Yang, Dinesh Manocha, Xiaogang Jin:
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization. - Jayant Sharma, Zixing Wang, Alberto Speranzon, Vijay Venkataraman, Hyun Soo Park:
ECO: Egocentric Cognitive Mapping. - Xinyi Zhou, Reza Zafarani:
Fake News: A Survey of Research, Detection Methods, and Opportunities. - Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Haoshu Fang, Cewu Lu:
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark. - Nhat M. Nguyen, Nilanjan Ray:
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation. - Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille:
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. - Han Cai, Ligeng Zhu, Song Han:
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. - Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao:
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. - Simiao Zuo, Jialin Wu:
Image Score: How to Select Useful Samples. - Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu:
GAN-EM: GAN based EM learning framework. - Sijia Xu, Hongyu Kuang, Zhi Zhuang, Renjie Hu, Yang Liu, Huyang Sun:
Macro action selection with deep reinforcement learning in StarCraft. - Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means Based on Variational Transportation. - Feng Shu, Ling Xu, Jinyong Lin, Jinsong Hu, Linqing Gui, Jun Li, Jiangzhou Wang:
Machine-Learning-based High-resolution DOA Measurement and Robust DM for Hybrid Analog-Digital Massive MIMO Transceiver. - Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo:
Analysis on Gradient Propagation in Batch Normalized Residual Networks. - Shaojie Wang, Wentian Zhao, Ziyi Kou, Chenliang Xu:
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos. - (Withdrawn) A Logic for Recursive Quantum Programs.
- Heriberto Cuayáhuitl, Seonghan Ryu, Donghyeon Lee, Jihie Kim:
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. - Jiawei Zhang, Yuzhen Jin, Jilan Xu, Xiaowei Xu, Yanchun Zhang:
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation. - Yuefu Zhou, Ya Zhang, Yanfeng Wang, Qi Tian:
Network Compression via Recursive Bayesian Pruning. - Or Birenzwige, Shay Golan, Ely Porat:
Locally Consistent Parsing for Text Indexing in Small Space. - Jun Geng, Lifeng Lai:
Quick Best Action Identification in Linear Bandit Problems. - Hao-Ting Wei, Sung-Hsien Hsieh, Wen-Liang Hwang, Chung-Shou Liao, Chun-Shien Lu:
Link Delay Estimation Using Sparse Recovery for Dynamic Network Tomography. - Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Y. Ng, Nigam H. Shah:
Predicting Inpatient Discharge Prioritization With Electronic Health Records. - Rasika Bhalerao, Maxwell Aliapoulios, Ilia Shumailov, Sadia Afroz, Damon McCoy:
Towards Automatic Discovery of Cybercrime Supply Chains. - Jasper Linmans, Bob van de Velde, Evangelos Kanoulas:
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions. - Nupur Baghel, Yaman Kumar, Paavini Nanda, Rajiv Ratn Shah, Debanjan Mahata, Roger Zimmermann:
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media. - Pawel Góra, Maciej Brzeski, Marcin Mozejko, Arkadiusz Klemenko, Adrian Kochanski:
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks.