Learning to Extrapolate: A Transductive Approach

Learning to Extrapolate: A Transductive Approach

27 April 2023

Abhishek Gupta

Max Simchowitz

Papers citing "Learning to Extrapolate: A Transductive Approach"

8 / 8 papers shown

Title
Causal Matrix Completion Anish Agarwal M. Dahleh Devavrat Shah Dennis Shen CML 28 46 0 30 Sep 2021
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Yixuan Su Lei Shu Elman Mansimov Arshit Gupta Deng Cai Yi-An Lai Yi Zhang 104 163 0 29 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 60 65 0 15 Sep 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 242 86 0 13 Jul 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 85 264 0 25 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 242 3,790 0 24 Feb 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 171 217 0 16 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 220 9,525 0 09 Mar 2017