Papers
11,951 papers found
Lite Transformer with Long-Short Range Attention
Zhanghao Wu*, Zhijian Liu*, Ji Lin et al.
Locality and Compositionality in Zero-Shot Learning
Tristan Sylvain, Linda Petrini, Devon Hjelm
Logic and the 2-Simplicial Transformer
James Clift, Dmitry Doryn, Daniel Murfet et al.
Logistic Regression Regret: What’s the Catch?
Gil I Shamir
Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs
Guy Uziel, Ran El-Yaniv
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning
Sejun Park*, Jaeho Lee*, Sangwoo Mo et al.
Low-dimensional statistical manifold embedding of directed graphs
Thorben Funke, Tian Guo, Alen Lancic et al.
Low-Resource Knowledge-Grounded Dialogue Generation
Xueliang Zhao, Wei Wu, Chongyang Tao et al.
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Runtian Zhai, Chen Dan, Di He et al.
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
Caglar Gulcehre, Tom Le Paine, Bobak Shahriari et al.
Making Sense of Reinforcement Learning and Probabilistic Inference
Brendan O'Donoghue, Ian Osband, Catalin Ionescu
Mandarin and English Adults’ Cue-Weighting of Lexical Stress
Zhen Zeng, Karen Mattock, Liquan Liu et al.
Masked Based Unsupervised Content Transfer
Ron Mokady, Sagie Benaim, Lior Wolf et al.
Massively Multilingual Sparse Word Representations
Gábor Berend
Mathematical Reasoning in Latent Space
Dennis Lee, Christian Szegedy, Markus Rabe et al.
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
Dexter R.R. Scobee, S. Shankar Sastry
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Qingfeng Lan, Yangchen Pan, Alona Fyshe et al.
Meaningful Availability
Tamás Hauer, Philipp Hoffmann, John Lunney et al.
Measuring and Improving the Use of Graph Information in Graph Neural Networks
Yifan Hou, Jian Zhang, James Cheng et al.
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales et al.
Measuring the Reliability of Reinforcement Learning Algorithms
Stephanie C.Y. Chan, Samuel Fishman, Anoop Korattikara et al.
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster et al.
Memory-Based Graph Networks
Amir Hosein Khasahmadi, Kaveh Hassani, Parsa Moradi et al.
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin et al.
Meta Dropout: Learning to Perturb Latent Features for Generalization
Hae Beom Lee, Taewook Nam, Eunho Yang et al.