Papers
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
Min Hou, Le Wu, Enhong Chen et al.
Real-Time Adversarial Attacks
Yuan Gong, Boyang Li, Christian Poellabauer et al.
VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities
Xu Duan, Jingzheng Wu, Shouling Ji et al.
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks
Huili Chen, Cheng Fu, Jishen Zhao et al.
Procedural Generation of Initial States of Sokoban
Dâmaris S. Bento, André G. Pereira, Levi H. S. Lelis
Predicting dominance in multi-person videos
Chongyang Bai, Maksim Bolonkin, Srijan Kumar et al.
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation
Shengze Yu, Xin Wang, Wenwu Zhu et al.
Dual-Path in Dual-Path Network for Single Image Dehazing
Aiping Yang, Haixin Wang, Zhong Ji et al.
Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation
Yanan Xu, Yanmin Zhu, Yanyan Shen et al.
Medical Concept Embedding with Multiple Ontological Representations
Lihong Song, Chin Wang Cheong, Kejing Yin et al.
Node Embedding over Temporal Graphs
Uriel Singer, Ido Guy, Kira Radinsky
Scaling Fine-grained Modularity Clustering for Massive Graphs
Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
Randomized Adversarial Imitation Learning for Autonomous Driving
MyungJae Shin, Joongheon Kim
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
Shuheng Shen, Linli Xu, Jingchang Liu et al.
FireCast: Leveraging Deep Learning to Predict Wildfire Spread
David Radke, Anna Hessler, Dan Ellsworth
Representation Learning-Assisted Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Shukui Ren et al.
Pseudo Supervised Matrix Factorization in Discriminative Subspace
Jiaqi Ma, Yipeng Zhang, Lefei Zhang et al.
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power
Zhongzhou Liu, Wenbin Hu
Playing Card-Based RTS Games with Deep Reinforcement Learning
Tianyu Liu, Zijie Zheng, Hongchang Li et al.
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints
Joachim Giesen, Soeren Laue
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
Xu Chu, Yang Lin, Yasha Wang et al.
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization
Zhihuai Chen, Yinan Li, Xiaoming Sun et al.
Predicting the Visual Focus of Attention in Multi-Person Discussion Videos
Chongyang Bai, Srijan Kumar, Jure Leskovec et al.
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains
Matthieu Zimmer, Paul Weng