Papers
Learning Modulated Transformation in GANs
Ceyuan Yang, Qihang Zhang, Yinghao Xu et al.
Learning Motion Refinement for Unsupervised Face Animation
Jiale Tao, Shuhang Gu, Wen Li et al.
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations
Shicheng Liu, Minghui Zhu
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
Pengchong Hu, Zhizhong Han
Learning non-Markovian Decision-Making from State-only Sequences
Aoyang Qin, Feng Gao, Qing Li et al.
Learning Nonparametric Latent Causal Graphs with Unknown Interventions
Yibo Jiang, Bryon Aragam
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade et al.
Learning Provably Robust Estimators for Inverse Problems via Jittering
Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
Learning Rate Free Sampling in Constrained Domains
Louis Sharrock, Lester W. Mackey, Christopher Nemeth
Learning Regularized Monotone Graphon Mean-Field Games
Fengzhuo Zhang, Vincent Tan, Zhaoran Wang et al.
Learning Reliable Logical Rules with SATNet
Zhaoyu Li, Jinpei Guo, Yuhe Jiang et al.
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
Jianwei Zhang, Suren Jayasuriya, Visar Berisha
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution
Xiaotong Luo, Yuan Xie, Yanyun Qu
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Daolang Huang, Ayush Bharti, Amauri Souza et al.
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
Tianyu Liu, Qitan Lv, Jie Wang et al.
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Peng Cui, Dan Zhang, Zhijie Deng et al.
Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
Tianhao Wu, Mingdong Wu, Jiyao Zhang et al.
Learning Shared Safety Constraints from Multi-task Demonstrations
Konwoo Kim, Gokul Swamy, ZUXIN LIU et al.
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States
Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki
Learning the Efficient Frontier
Philippe Chatigny, Ivan Sergienko, Ryan Ferguson et al.
Learning threshold neurons via edge of stability
Kwangjun Ahn, Sebastien Bubeck, Sinho Chewi et al.
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
Lu Mi, Trung Le, Tianxing He et al.
Learning to Augment Distributions for Out-of-distribution Detection
Qizhou Wang, Zhen Fang, Yonggang Zhang et al.
Learning to Compress Prompts with Gist Tokens
Jesse Mu, Xiang Li, Noah Goodman
Learning to Configure Separators in Branch-and-Cut
Sirui Li, Wenbin Ouyang, Max Paulus et al.