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"

10 / 10 papers shown

Title
Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules Nofit Segal Aviv Netanyahu Kevin P. Greenman Pulkit Agrawal Rafael Gómez-Bombarelli OODD 48 1 0 09 Feb 2025
Compositional Generalization from First Principles Thaddäus Wiedemer Prasanna Mayilvahanan Matthias Bethge Wieland Brendel OCL 25 36 0 10 Jul 2023
Causal Matrix Completion Anish Agarwal M. Dahleh Devavrat Shah Dennis Shen CML 43 51 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 148 192 0 29 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 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 270 108 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 104 315 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 253 4,774 0 24 Feb 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 278 11,677 0 09 Mar 2017