Papers
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding
Eslam Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny
Look More but Care Less in Video Recognition
Yitian Zhang, Yue Bai, Huan Wang et al.
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
David Bertoin, Adil Zouitine, Mehdi Zouitine et al.
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Yonggan Fu, Yang Zhang, Kaizhi Qian et al.
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
lingyu gu, Yongqi Du, yuan zhang et al.
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation
Milton Montero, Jeffrey Bowers, Rui Ponte Costa et al.
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
Xiaojun Xu, Linyi Li, Bo Li
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
Mansheej Paul, Brett Larsen, Surya Ganguli et al.
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Xinmeng Huang, Yiming Chen, Wotao Yin et al.
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
Jonathan Kelner, Frederic Koehler, Raghu Meka et al.
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch et al.
Low-Rank Modular Reinforcement Learning via Muscle Synergy
Heng Dong, Tonghan Wang, Jiayuan Liu et al.
Low-rank Optimal Transport: Approximation, Statistics and Debiasing
Meyer Scetbon, Marco Cuturi
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout
SIQI WANG, Tee Hiang Cheng, Meng-Hiot Lim
Luckiness in Multiscale Online Learning
Wouter M. Koolen, Muriel F. Pérez-Ortiz
M$^4$I: Multi-modal Models Membership Inference
Pingyi Hu, Zihan Wang, Ruoxi Sun et al.
M2N: Mesh Movement Networks for PDE Solvers
Wenbin Song, Mingrui Zhang, Joseph G Wallwork et al.
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
hanxue liang, Zhiwen Fan, Rishov Sarkar et al.
M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus
Lichao Zhang, Ruiqi Li, Shoutong Wang et al.
MABSplit: Faster Forest Training Using Multi-Armed Bandits
Mo Tiwari, Ryan Kang, Jaeyong Lee et al.
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia, David P Kovacs, Gregor Simm et al.
MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching
Yan Huang, Yuming Wang, Yunan Zeng et al.
MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif, Yoshua Bengio, Loubna Benabbou et al.
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
Yu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang et al.