Papers
Long Horizon Temperature Scaling
Andy Shih, Dorsa Sadigh, Stefano Ermon
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
Min-Kook Suh, Seung-Woo Seo
Long-Term Rhythmic Video Soundtracker
Jiashuo Yu, Yaohui Wang, Xinyuan Chen et al.
Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers
Grant Strimel, Yi Xie, Brian John King et al.
LookupFFN: Making Transformers Compute-lite for CPU inference
Zhanpeng Zeng, Michael Davies, Pranav Pulijala et al.
Looped Transformers as Programmable Computers
Angeliki Giannou, Shashank Rajput, Jy-Yong Sohn et al.
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Yixiao Li, Yifan Yu, Qingru Zhang et al.
Loss Balancing for Fair Supervised Learning
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
Jiaming Song, Qinsheng Zhang, Hongxu Yin et al.
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
Robert Tjarko Lange, Henning Sprekeler
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
Enming Liang, Minghua Chen, Steven Low
Lower Bounds for Learning in Revealing POMDPs
Fan Chen, Huan Wang, Caiming Xiong et al.
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit
Yeonju Ro, Zhangyang Wang, Vijay Chidambaram et al.
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
Yunfan Li, Yiran Wang, Yu Cheng et al.
LSDS++ : Dual Sampling for Accelerated k-means++
Chenglin Fan, Ping Li, Xiaoyun Li
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer et al.
Machine Learning Force Fields with Data Cost Aware Training
Alexander Bukharin, Tianyi Liu, Shengjie Wang et al.
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
Geonho Hwang, Jaewoong Choi, Hyunsoo Cho et al.
Magneto: A Foundation Transformer
Hongyu Wang, Shuming Ma, Shaohan Huang et al.
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li, Byron Boots, Ching-An Cheng
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang, Jiawei Huang, Dongchao Yang et al.
MANSA: Learning Fast and Slow in Multi-Agent Systems
David Henry Mguni, Haojun Chen, Taher Jafferjee et al.
Margin-based Neural Network Watermarking
Byungjoo Kim, Suyoung Lee, Seanie Lee et al.