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闲情居|机器学习领域顶会ICML20精选论文分享( 二 )


Generalized Neural Policies for Relational MDPs Sankalp Garg, Aniket Bajpai, Mausam
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung, SeongUk Park, Kim Jangho, NOJUN KWAK
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization Pan Zhou, Xiao-Tong Yuan
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders Alexey Drutsa
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin, Chi Jin, Michael Jordan
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization Geoffrey Negiar, Gideon Dresdner, Alicia Yi-Ting Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang, Dapeng Hu, Jiashi Feng
Acceleration through spectral density estimation Fabian Pedregosa, Damien Scieur
Graph Structure of Neural Networks Jiaxuan You, Kaiming He, Jure Leskovec, Saining Xie
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch, Hisham Husain, Tom Diethe
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies Shengpu Tang, Aditya Modi, Michael Sjoding, Jenna Wiens
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model Ying Jin, Zhaoran Wang, Junwei Lu
On the Number of Linear Regions of Convolutional Neural Networks Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
Deep Streaming Label Learning Zhen Wang, Liu Liu, Dacheng Tao
From Importance Sampling to Doubly Robust Policy Gradient Jiawei Huang, Nan Jiang
Loss Function Search for Face Recognition Xiaobo Wang, Shuo Wang, Shifeng Zhang, Cheng Chi, Tao Mei
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
Automatic Reparameterisation of Probabilistic Programs Maria Gorinova, Dave Moore, Matthew Hoffman
Kernel Methods for Cooperative Multi-Agent Learning with Delays Abhimanyu Dubey, Alex `Sandy' Pentlan
dRobust Multi-Agent Decision-Making with Heavy-Tailed Payoffs Abhimanyu Dubey, Alex `Sandy' Pentlan
dLearning the Valuations of a $k$-demand Agent Hanrui Zhang, Vincent Conitzer
Rigging the Lottery: Making All Tickets Winners Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates


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