Papers
11,015 papers found
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
Mikhail Khodak, Edmond Chow, Maria Florina Balcan et al.
Learning to Solve Bilevel Programs with Binary Tender
Bo Zhou, Ruiwei Jiang, Siqian Shen
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
Hanni Cheng, Ya Cong, Weihao Jiang et al.
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction
Guillaume Bono, Leonid Antsfeld, Assem Sadek et al.
Learning with Language-Guided State Abstractions
Andi Peng, Ilia Sucholutsky, Belinda Z. Li et al.
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu, Dong Gong, Shuo Wang et al.
Leave-one-out Distinguishability in Machine Learning
Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou et al.
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Ashutosh Baheti, Ximing Lu, Faeze Brahman et al.
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang, Huajian Xin, Chuanyang Zheng et al.
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu et al.
Lemur: Harmonizing Natural Language and Code for Language Agents
Yiheng Xu, Hongjin SU, Chen Xing et al.
Lemur: Integrating Large Language Models in Automated Program Verification
Haoze Wu, Clark Barrett, Nina Narodytska
Less is More: Fewer Interpretable Region via Submodular Subset Selection
Ruoyu Chen, Hua Zhang, Siyuan Liang et al.
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao et al.
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Chengming Hu, Haolun Wu, Xuan Li et al.
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo, Wooseok Jang, Min-Seop Kwak et al.
Let Models Speak Ciphers: Multiagent Debate through Embeddings
Chau Pham, Boyi Liu, Yingxiang Yang et al.
Let's do the time-warp-attend: Learning topological invariants of dynamical systems
Noa Moriel, Matt Ricci, Mor Nitzan
Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yuri Burda et al.
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
Antoine Bambade, Fabian Schramm, Adrien Taylor et al.
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
Ayesha Vermani, Il Memming Park, Josue Nassar
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
Heng Dong, Junyu Zhang, Chongjie Zhang
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Neehal Tumma, Mathias Lechner, Noel Loo et al.
Leveraging Optimization for Adaptive Attacks on Image Watermarks
Nils Lukas, Abdulrahman Diaa, Lucas Fenaux et al.
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi et al.