Papers
11,951 papers found
Learning Color Equivariant Representations
Yulong Yang, Felix O'Mahony, Christine Allen-Blanchette
Learning Continually by Spectral Regularization
Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar et al.
Learning Diagrams: A Graphical Language for Compositional Training Regimes
Mason Lary, Richard Samuelson, Alexander Wilentz et al.
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino Valencia, Tobias Pfaff, Nils Thuerey
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif et al.
Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability
Avrajit Ghosh, Soo Min Kwon, Rongrong Wang et al.
Learning Dynamics of LLM Finetuning
Yi Ren, Danica J. Sutherland
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos Kanatsoulis, Evelyn Choi, Stefanie Jegelka et al.
Learning Equivariant Non-Local Electron Density Functionals
Nicholas Gao, Eike Eberhard, Stephan Günnemann
Learning Evolving Tools for Large Language Models
Guoxin Chen, Zhong Zhang, Xin Cong et al.
Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval
Yue WU, Zhaobo Qi, Yiling Wu et al.
Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling
Yuwei Cheng, Fan Yao, Xuefeng Liu et al.
Learning from negative feedback, or positive feedback or both
Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari et al.
Learning from weak labelers as constraints
Vishwajeet Agrawal, Rattana Pukdee, Maria Florina Balcan et al.
Learning Gain Map for Inverse Tone Mapping
Yinuo Liao, Yuanshen Guan, Ruikang Xu et al.
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Sicong Liu, Yang Shu, Chenjuan Guo et al.
Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
Neel Dey, Benjamin Billot, Hallee E. Wong et al.
Learning Geometric Reasoning Networks For Robot Task And Motion Planning
Smail Ait Bouhsain, Rachid Alami, Thierry Simeon
Learning Graph Invariance by Harnessing Spuriosity
Tianjun Yao, Yongqiang Chen, Kai Hu et al.
Learning Graph Quantized Tokenizers
Limei Wang, Kaveh Hassani, Si Zhang et al.
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
Sirui Li, Wenbin Ouyang, Yining Ma et al.
Learning Harmonized Representations for Speculative Sampling
Lefan Zhang, Xiaodan Wang, Yanhua Huang et al.
Learning Hierarchical Polynomials of Multiple Nonlinear Features
Hengyu Fu, Zihao Wang, Eshaan Nichani et al.
Learning High-Degree Parities: The Crucial Role of the Initialization
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła et al.