Papers
11,015 papers found
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
Zhun Yang, Adam Ishay, Joohyung Lee
Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
Yu Yu, Hassan Sajjad, Jia Xu
Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng, Hong-Xing Yu, Jiajun Wu et al.
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Manuel Traub, Sebastian Otte, Tobias Menge et al.
Learning where and when to reason in neuro-symbolic inference
Cristina Cornelio, Jan Stuehmer, Shell Xu Hu et al.
Learning with Auxiliary Activation for Memory-Efficient Training
Sunghyeon Woo, Dongsuk Jeon
Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li, Zehua Liu, Yuan Yao et al.
Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
Myeongho Jeon, Hyoje Lee, Yedarm Seong et al.
Learning with Stochastic Orders
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
Chao Yu, Jiaxuan Gao, Weilin Liu et al.
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou, Nathanael Schärli, Le Hou et al.
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Daehee Park, Hobin Ryu, Yunseo Yang et al.
Leveraging Importance Weights in Subset Selection
Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar et al.
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson, David Wingate
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh, Hanie Sedghi, Patrick Thiran
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
Tao Shen, Xiubo Geng, Chongyang Tao et al.
LiftedCL: Lifting Contrastive Learning for Human-Centric Perception
Ziwei Chen, Qiang Li, Xiaofeng Wang et al.
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang, Lianghao Xia et al.
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering
Jing Yang, Hanyuan Xiao, Wenbin Teng et al.
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish, Kamal Gupta, Saurabh Singh et al.
Limitless Stability for Graph Convolutional Networks
Christian Koke
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho et al.
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
Rui Yuan, Simon Shaolei Du, Robert M. Gower et al.
Linearly Mapping from Image to Text Space
Jack Merullo, Louis Castricato, Carsten Eickhoff et al.
Link Prediction with Non-Contrastive Learning
William Shiao, Zhichun Guo, Tong Zhao et al.