Papers
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
Wei Yu, Jianing Li, Shengping Zhang et al.
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
Baohong Li, Haoxuan Li, Ruoxuan Xiong et al.
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
Zhentao Tan, Yadong Mu
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
Minh Hoang, Azza Fadhel, Aryan Deshwal et al.
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers, Chongyi Zheng, Anca Dragan et al.
Learning the Target Network in Function Space
Kavosh Asadi, Yao Liu, Shoham Sabach et al.
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
Yingying Li, Jing Yu, Lauren Conger et al.
Learning to Compile Programs to Neural Networks
Logan Weber, Jesse Michel, Alex Renda et al.
Learning to Continually Learn with the Bayesian Principle
Soochan Lee, Hyeonseong Jeon, Jaehyeon Son et al.
Learning to Explore for Stochastic Gradient MCMC
Seunghyun Kim, Seohyeon Jung, Seonghyeon Kim et al.
Learning to Explore in POMDPs with Informational Rewards
Annie Xie, Logan Mondal Bhamidipaty, Evan Zheran Liu et al.
Learning to Infer Generative Template Programs for Visual Concepts
R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
Learning to Intervene on Concept Bottlenecks
David Steinmann, Wolfgang Stammer, Felix Friedrich et al.
Learning to Model the World With Language
Jessy Lin, Yuqing Du, Olivia Watkins et al.
Learning to Play Atari in a World of Tokens
Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
Lirong Wu, Yijun Tian, Haitao Lin et al.
Learning to Reach Goals via Diffusion
Vineet Jain, Siamak Ravanbakhsh
Learning to Remove Cuts in Integer Linear Programming
Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos et al.
Learning to Route Among Specialized Experts for Zero-Shot Generalization
Mohammed Muqeeth, Haokun Liu, Yufan Liu et al.
Learning to Scale Logits for Temperature-Conditional GFlowNets
Minsu Kim, Joohwan Ko, Taeyoung Yun et al.
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
Brahma S Pavse, Matthew Zurek, Yudong Chen et al.
Learning Universal Predictors
Jordi Grau-Moya, Tim Genewein, Marcus Hutter et al.
Learning Useful Representations of Recurrent Neural Network Weight Matrices
Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
Learning with 3D rotations, a hitchhiker’s guide to SO(3)
Andreas René Geist, Jonas Frey, Mikel Zhobro et al.
Learning with Adaptive Resource Allocation
Jing Wang, Miao Yu, Peng Zhao et al.