Papers
8,340 papers found
Learning to Initiate and Reason in Event-Driven Cascading Processes
Yuval Atzmon, Eli Meirom, Shie Mannor et al.
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
Tianqi Chen, Mingyuan Zhou
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu, Li Shen, Zhenyi Wang et al.
Learning to Maximize Mutual Information for Dynamic Feature Selection
Ian Connick Covert, Wei Qiu, Mingyu Lu et al.
Learning to Optimize Differentiable Games
Xuxi Chen, Nelson Vadori, Tianlong Chen et al.
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
Eden Saig, Nir Rosenfeld
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
Sicheng Zhu, Bang An, Furong Huang et al.
Learning Unnormalized Statistical Models via Compositional Optimization
Wei Jiang, Jiayu Qin, Lingyu Wu et al.
Learning useful representations for shifting tasks and distributions
Jianyu Zhang, Leon Bottou
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
Deep Shankar Pandey, Qi Yu
LegendreTron: Uprising Proper Multiclass Loss Learning
Kevin H Lam, Christian Walder, Spiridon Penev et al.
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
Chen Liang, Simiao Zuo, Qingru Zhang et al.
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework
Woojun Kim, Jeonghye Kim, Youngchul Sung
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
Timothy Castiglia, Yi Zhou, Shiqiang Wang et al.
Leveraging Demonstrations to Improve Online Learning: Quality Matters
Botao Hao, Rahul Jain, Tor Lattimore et al.
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
Feng Ji, See Hian Lee, Hanyang Meng et al.
Leveraging Offline Data in Online Reinforcement Learning
Andrew Wagenmaker, Aldo Pacchiano
Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang, Nayeong Kim, Donghyeon Kwon et al.
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni, Srini Iyer, Dragomir Radev et al.
Lifelong Language Pretraining with Distribution-Specialized Experts
Wuyang Chen, Yanqi Zhou, Nan Du et al.
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
Yubo Zhuang, Xiaohui Chen, Yun Yang
Linear Causal Disentanglement via Interventions
Chandler Squires, Anna Seigal, Salil S Bhate et al.
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
Hannah Pinson, Joeri Lenaerts, Vincent Ginis
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang et al.
Linear optimal partial transport embedding
Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin et al.