Papers
Label Distribution Learning Machine
Jing Wang, Xin Geng
Label Inference Attacks from Log-loss Scores
Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu et al.
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini et al.
LAMDA: Label Matching Deep Domain Adaptation
Trung Le, Tuan Nguyen, Nhat Ho et al.
Large-Margin Contrastive Learning with Distance Polarization Regularizer
Shuo Chen, Gang Niu, Chen Gong et al.
Large-Scale Meta-Learning with Continual Trajectory Shifting
Jaewoong Shin, Hae Beom Lee, Boqing Gong et al.
Large-Scale Multi-Agent Deep FBSDEs
Tianrong Chen, Ziyi O Wang, Ioannis Exarchos et al.
Large Scale Private Learning via Low-rank Reparametrization
Da Yu, Huishuai Zhang, Wei Chen et al.
LARNet: Lie Algebra Residual Network for Face Recognition
Xiaolong Yang, Xiaohong Jia, Dihong Gong et al.
Latent Programmer: Discrete Latent Codes for Program Synthesis
Joey Hong, David Dohan, Rishabh Singh et al.
Learn2Hop: Learned Optimization on Rough Landscapes
Amil Merchant, Luke Metz, Samuel S Schoenholz et al.
Learner-Private Convex Optimization
Jiaming Xu, Kuang Xu, Dana Yang
Learning and Planning in Average-Reward Markov Decision Processes
Yi Wan, Abhishek Naik, Richard S Sutton
Learning and Planning in Complex Action Spaces
Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou et al.
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou, Hugo Larochelle, Richard Zemel et al.
Learning Binary Decision Trees by Argmin Differentiation
Valentina Zantedeschi, Matt Kusner, Vlad Niculae
Learning Bounds for Open-Set Learning
Zhen Fang, Jie Lu, Anjin Liu et al.
Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu, Jeremy Bernstein, Markus Meister et al.
Learning Curves for Analysis of Deep Networks
Derek Hoiem, Tanmay Gupta, Zhizhong Li et al.
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Boyang Liu, Mengying Sun, Ding Wang et al.
Learning de-identified representations of prosody from raw audio
Jack Weston, Raphael Lenain, Udeepa Meepegama et al.
Learning disentangled representations via product manifold projection
Marco Fumero, Luca Cosmo, Simone Melzi et al.
Learning Diverse-Structured Networks for Adversarial Robustness
Xuefeng Du, Jingfeng Zhang, Bo Han et al.
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
Matthieu Zimmer, Claire Glanois, Umer Siddique et al.