Papers
Learning to Adapt to Evolving Domains
Hong Liu, Mingsheng Long, Jianmin Wang et al.
Learning to Approximate a Bregman Divergence
Ali Siahkamari, XIDE XIA, Venkatesh Saligrama et al.
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes
Salman Habib, Allison Beemer, Joerg Kliewer
Learning to Detect Objects with a 1 Megapixel Event Camera
Etienne Perot, Pierre de Tournemire, Davide Nitti et al.
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang, Wen Song, Zhiguang Cao et al.
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
David Bieber, Charles A. Sutton, Hugo Larochelle et al.
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek, Dong Bok Lee, Sung Ju Hwang
Learning to Incentivize Other Learning Agents
Jiachen Yang, Ang Li, Mehrdad Farajtabar et al.
Learning to Learn Variational Semantic Memory
Xiantong Zhen, Yingjun Du, Huan Xiong et al.
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey, Ashok Litwin-Kumar
Learning to Mutate with Hypergradient Guided Population
Zhiqiang Tao, Yaliang Li, Bolin Ding et al.
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Riccardo Spezialetti, Federico Stella, Marlon Marcon et al.
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas Anthony, Tom Eccles, Andrea Tacchetti et al.
Learning to Play Sequential Games versus Unknown Opponents
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour et al.
Learning to Prove Theorems by Learning to Generate Theorems
Mingzhe Wang, Jia Deng
Learning to search efficiently for causally near-optimal treatments
Samuel Håkansson, Viktor Lindblom, Omer Gottesman et al.
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction
Yuan Xue, Nan Du, Anne Mottram et al.
Learning to solve TV regularised problems with unrolled algorithms
Hamza Cherkaoui, Jeremias Sulam, Thomas Moreau
Learning to summarize with human feedback
Nisan Stiennon, Long Ouyang, Jeffrey Wu et al.
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu, Weixun Wang, Hangtian Jia et al.
Learning Utilities and Equilibria in Non-Truthful Auctions
Hu Fu, Tao Lin
Learning with Differentiable Pertubed Optimizers
Quentin Berthet, Mathieu Blondel, Olivier Teboul et al.
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces
Akash Saha, Balamurugan Palaniappan
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda et al.