Papers
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Nam Phuong Tran, The Anh Ta, Shuqing Shi et al.
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
Vladimir R. Kostic, Karim Lounici, Hélène Halconruy et al.
Learning the Latent Causal Structure for Modeling Label Noise
Yexiong Lin, Yu Yao, Tongliang Liu
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
Qinwei Yang, Xueqing Liu, Yan Zeng et al.
Learning to Assist Humans without Inferring Rewards
Vivek Myers, Evan Ellis, Sergey Levine et al.
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games
Fanqi Kong, Yizhe Huang, Song-Chun Zhu et al.
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
Ali Younis, Erik B. Sudderth
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Xinyin Ma, Gongfan Fang, Michael Bi Mi et al.
Learning to compute Gröbner bases
Hiroshi Kera, Yuki Ishihara, Yuta Kambe et al.
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta et al.
Learning to Decouple the Lights for 3D Face Texture Modeling
Tianxin Huang, Zhenyu Zhang, Ying Tai et al.
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
Xuanfa Jin, Ziyan Wang, Yali Du et al.
Learning to Edit Visual Programs with Self-Supervision
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan et al.
Learning to Embed Distributions via Maximum Kernel Entropy
Oleksii Kachaiev, Stefano Recanatesi
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
Tianyu He, Darshil Doshi, Aritra Das et al.
Learning to Handle Complex Constraints for Vehicle Routing Problems
Jieyi Bi, Yining Ma, Jianan Zhou et al.
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
Dong Hoon Lee, Seunghoon Hong
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
Antoine Scheid, Aymeric Capitaine, Etienne Boursier et al.
Learning to Predict Structural Vibrations
Jan van Delden, Julius Schultz, Christopher Blech et al.
Learning to Price Homogeneous Data
Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios
Shantanu Jaiswal, Debaditya Roy, Basura Fernando et al.
Learning to Reason via Program Generation, Emulation, and Search
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu et al.
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
Yonggang Zhang, Jie Lu, Bo Peng et al.
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way
Ming Chen, Jie Chun, Shang Xiang et al.
Learning to Understand: Identifying Interactions via the Möbius Transform
Justin Singh Kang, Yigit Efe Erginbas, Landon Butler et al.