Papers
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
Jinghuan Shang, Srijan Das, Michael Ryoo
Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz, Song Mei
Learning with little mixing
Ingvar Ziemann, Stephen Tu
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu, Swaroop Mishra, Tanglin Xia et al.
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min, Tianhao Wang, Ruitu Xu et al.
Learn what matters: cross-domain imitation learning with task-relevant embeddings
Tim Franzmeyer, Philip Torr, João F. Henriques
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Daejin Jo, Sungwoong Kim, Daniel Nam et al.
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning
Dieqiao Feng, Carla P. Gomes, Bart Selman
Less-forgetting Multi-lingual Fine-tuning
Yuren Mao, Yaobo Liang, Nan Duan et al.
Lethal Dose Conjecture on Data Poisoning
Wenxiao Wang, Alexander Levine, Soheil Feizi
Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
Xu Yan, Heshen Zhan, Chaoda Zheng et al.
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang, Maggie Makar, Michael Sjoding et al.
Leveraging Inter-Layer Dependency for Post -Training Quantization
changbao wang, DanDan Zheng, Yuanliu Liu et al.
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
Wei Zhang, Yanjun Han, Zhengyuan Zhou et al.
LGDN: Language-Guided Denoising Network for Video-Language Modeling
Haoyu Lu, Mingyu Ding, Nanyi Fei et al.
LieGG: Studying Learned Lie Group Generators
Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik et al.
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
Alex Ororbia, Ankur Mali, C Lee Giles et al.
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
Gergely Neu, Iuliia Olkhovskaia, Matteo Papini et al.
Lifting Weak Supervision To Structured Prediction
Harit Vishwakarma, Frederic Sala
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang et al.
Linear Label Ranking with Bounded Noise
Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis et al.
Linear tree shap
peng yu, Albert Bifet, Jesse Read et al.
LION: Latent Point Diffusion Models for 3D Shape Generation
xiaohui zeng, Arash Vahdat, Francis Williams et al.
Lipschitz Bandits with Batched Feedback
Yasong Feng, zengfeng Huang, Tianyu Wang
LIPS - Learning Industrial Physical Simulation benchmark suite
Milad LEYLI ABADI, Antoine Marot, Jérôme Picault et al.