Papers
Temporal Pyramid Recurrent Neural Network
Qianli Ma, Zhenxi Lin, Enhuan Chen et al.
Inefficiency of K-FAC for Large Batch Size Training
Linjian Ma, Gabe Montague, Jiayu Ye et al.
Memory Augmented Graph Neural Networks for Sequential Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang et al.
Fastened CROWN: Tightened Neural Network Robustness Certificates
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong et al.
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
You-Wei Luo, Chuan-Xian Ren, Pengfei Ge et al.
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
Yadan Luo, Zi Huang, Zheng Zhang et al.
Structured Output Learning with Conditional Generative Flows
You Lu, Bert Huang
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
Romain Lopez, Chenchen Li, Xiang Yan et al.
Structured Sparsification of Gated Recurrent Neural Networks
Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich et al.
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
Zhiyuan Liu, Huazheng Wang, Fan Shen et al.
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
Zhining Liu, Dawei Zhou, Yada Zhu et al.
Interactive Rare-Category-of-Interest Mining from Large Datasets
Zhenguang Liu, Sihao Hu, Yifang Yin et al.
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
Zhao-Yang Liu, Shao-Yuan Li, Songcan Chen et al.
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu, Parth Kothari, Alexandre Alahi
IPO: Interior-Point Policy Optimization under Constraints
Yongshuai Liu, Jiaxin Ding, Xin Liu
Diversified Interactive Recommendation with Implicit Feedback
Yong Liu, Yingtai Xiao, Qiong Wu et al.
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Yingru Liu, Xuewen Yang, Dongliang Xie et al.
Independence Promoted Graph Disentangled Networks
Yanbei Liu, Xiao Wang, Shu Wu et al.
Weighted-Sampling Audio Adversarial Example Attack
Xiaolei Liu, Kun Wan, Yufei Ding et al.
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
Xiao Liu, Wenbin Li, Jing Huo et al.
An ADMM Based Framework for AutoML Pipeline Configuration
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy et al.
Stochastic Loss Function
Qingliang Liu, Jinmei Lai
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu, Xiaolong Ma, Zhiyuan Xu et al.
Attribute Propagation Network for Graph Zero-Shot Learning
Lu Liu, Tianyi Zhou, Guodong Long et al.