Papers
8,340 papers found
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
Shengcao Cao, Mengtian Li, James Hays et al.
Learning Mixtures of Gaussians with Censored Data
Wai Ming Tai, Bryon Aragam
Learning Mixtures of Markov Chains and MDPs
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
Pingchuan Ma, Peter Yichen Chen, Bolei Deng et al.
Learning Neural PDE Solvers with Parameter-Guided Channel Attention
Makoto Takamoto, Francesco Alesiani, Mathias Niepert
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation
Antoine Dedieu, Guangyao Zhou, Dileep George et al.
Learning Perturbations to Explain Time Series Predictions
Joseph Enguehard
Learning Physical Models that Can Respect Conservation Laws
Derek Hansen, Danielle C. Maddix, Shima Alizadeh et al.
Learning Preconditioners for Conjugate Gradient PDE Solvers
Yichen Li, Peter Yichen Chen, Tao Du et al.
Learning Prescriptive ReLU Networks
Wei Sun, Asterios Tsiourvas
Learning-Rate-Free Learning by D-Adaptation
Aaron Defazio, Konstantin Mishchenko
Learning Rate Schedules in the Presence of Distribution Shift
Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni et al.
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
Fengxue Zhang, Jialin Song, James C Bowden et al.
Learning Representations without Compositional Assumptions
Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian et al.
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Baorui Ma, Yu-Shen Liu, Zhizhong Han
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
Zaixi Zhang, Qi Liu
Learning Temporally AbstractWorld Models without Online Experimentation
Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti et al.
Learning the Dynamics of Sparsely Observed Interacting Systems
Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot et al.
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Sara Venturini, Andrea Cristofari, Francesco Rinaldi et al.
Learning to Bid in Repeated First-Price Auctions with Budgets
Qian Wang, Zongjun Yang, Xiaotie Deng et al.
Learning to Boost Training by Periodic Nowcasting Near Future Weights
Jinhyeok Jang, Woo-Han Yun, Won Hwa Kim et al.
Learning to Decouple Complex Systems
Zihan Zhou, Tianshu Yu
Learning to Design Analog Circuits to Meet Threshold Specifications
Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang et al.
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
Siyu Chen, Jibang Wu, Yifan Wu et al.