Papers
Fast Context Adaptation via Meta-Learning
Luisa Zintgraf, Kyriacos Shiarli, Vitaly Kurin et al.
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert, Haipeng Luo, Chen-Yu Wei
Latent Normalizing Flows for Discrete Sequences
Zachary Ziegler, Alexander Rush
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization
Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
Zhanxing Zhu, Jingfeng Wu, Bing Yu et al.
Learning Classifiers for Target Domain with Limited or No Labels
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Poission Subsampled Rényi Differential Privacy
Yuqing Zhu, Yu-Xiang Wang
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification
Chunjiang Zhu, Sabine Storandt, Kam-Yiu Lam et al.
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, W. Ronny Huang, Hengduo Li et al.
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou, Minghao Yang, Jun Wang et al.
Toward Understanding the Importance of Noise in Training Neural Networks
Mo Zhou, Tianyi Liu, Yan Li et al.
Lipschitz Generative Adversarial Nets
Zhiming Zhou, Jiadong Liang, Yuxuan Song et al.
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization
Dongruo Zhou, Quanquan Gu
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou, Feng Chen, Yiming Ying
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao, Xudong Sun, Volker Tresp
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao, Yuwei Hu, Jordan Dotzel et al.
Metric-Optimized Example Weights
Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan et al.
On Learning Invariant Representations for Domain Adaptation
Han Zhao, Remi Tachet Des Combes, Kun Zhang et al.
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
Martin Zhang, James Zou, David Tse
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang, Zhanxing Zhu
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization
Kai Zhang, Sheng Zhang, Jun Liu et al.
Learning Novel Policies For Tasks
Yunbo Zhang, Wenhao Yu, Greg Turk
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang Zhang, Yaodong Yu, Jiantao Jiao et al.
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
Chenyang Zhang, Guosheng Yin
A Composite Randomized Incremental Gradient Method
Junyu Zhang, Lin Xiao