Papers
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello, Javier S Turek, Vy Vo et al.
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari, Guillaume Rabusseau
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
Dmitry Kovalev, Elnur Gasanov, Alexander Gasnikov et al.
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Yin Tat Lee, Ruoqi Shen, Kevin Tian
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
Mengmeng Xu, Juan Manuel Perez Rua, Xiatian Zhu et al.
Low-Rank Constraints for Fast Inference in Structured Models
Justin Chiu, Yuntian Deng, Alexander Rush
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Atara Kaplan, Dan Garber
Low-Rank Subspaces in GANs
Jiapeng Zhu, Ruili Feng, Yujun Shen et al.
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
Chonghao Sima, Yexiang Xue
Luna: Linear Unified Nested Attention
Xuezhe Ma, Xiang Kong, Sinong Wang et al.
Machine Learning for Variance Reduction in Online Experiments
Yongyi Guo, Dominic Coey, Mikael Konutgan et al.
Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee, Nathaniel Trask, Panos Stinis
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Suna (Sihang) Guo, Ruohan Zhang, Bo Liu et al.
MADE: Exploration via Maximizing Deviation from Explored Regions
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao et al.
MagNet: A Neural Network for Directed Graphs
Xitong Zhang, Yixuan He, Nathan Brugnone et al.
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham et al.
Making a (Counterfactual) Difference One Rationale at a Time
Mitchell Plyler, Michael Green, Min Chi
Making the most of your day: online learning for optimal allocation of time
Etienne Boursier, Tristan Garrec, Vianney Perchet et al.
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov et al.
Manipulating SGD with Data Ordering Attacks
I Shumailov, Zakhar Shumaylov, Dmitry Kazhdan et al.
Marginalised Gaussian Processes with Nested Sampling
Fergus Simpson, Vidhi Lalchand, Carl Edward Rasmussen
Margin-Independent Online Multiclass Learning via Convex Geometry
Guru Guruganesh, Allen Liu, Jon Schneider et al.
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov, MICHAEL GHARBI, Matthew Fisher et al.
Mastering Atari Games with Limited Data
Weirui Ye, Shaohuai Liu, Thanard Kurutach et al.