Papers
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Wanli Shi, Bin Gu, Xiang Li et al.
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification
Shaohuai Shi, Kaiyong Zhao, Qiang Wang et al.
Rapid Performance Gain through Active Model Reuse
Feng Shi, Yu-Feng Li
A Part Power Set Model for Scale-Free Person Retrieval
Yunhang Shen, Rongrong Ji, Xiaopeng Hong et al.
On the Effectiveness of Low Frequency Perturbations
Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker
Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion
Junming Shao, Zhong Zhang, Zhongjing Yu et al.
Weakly Supervised Multi-task Learning for Semantic Parsing
Bo Shao, Yeyun Gong, Junwei Bao et al.
SynthNet: Learning to Synthesize Music End-to-End
Florin Schimbinschi, Christian Walder, Sarah M. Erfani et al.
Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents
Ritesh Sarkhel, Arnab Nandi
A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha, Romain Hennequin, Viet Anh Tran et al.
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model
Chunyang Ruan, Jiangang Ma, Ye Wang et al.
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
Closed-Loop Memory GAN for Continual Learning
Amanda Rios, Laurent Itti
Label Distribution Learning with Label Correlations via Low-Rank Approximation
Tingting Ren, Xiuyi Jia, Weiwei Li et al.
Label distribution learning with label-specific features
Tingting Ren, Xiuyi Jia, Weiwei Li et al.
Unifying the Stochastic and the Adversarial Bandits with Knapsack
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Successor Options: An Option Discovery Framework for Reinforcement Learning
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Automated Machine Learning with Monte-Carlo Tree Search
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag
Fairwalk: Towards Fair Graph Embedding
Tahleen Rahman, Bartlomiej Surma, Michael Backes et al.
Noise-Resilient Similarity Preserving Network Embedding for Social Networks
Zhenyu Qiu, Wenbin Hu, Jia Wu et al.
Scalable Bayesian Non-linear Matrix Completion
Xiangju Qin, Paul Blomstedt, Samuel Kaski
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations
Sheng Qian, Guanyue Li, Wen-Ming Cao et al.
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu et al.
Graph Space Embedding
João Pereira, Albert K. Groen, Erik S. G. Stroes et al.
A Practical Semi-Parametric Contextual Bandit
Yi Peng, Miao Xie, Jiahao Liu et al.