Towards a theory of out-of-distribution learning

29 September 2021

Hayden S. Helm

Carey E. Priebe

Papers citing "Towards a theory of out-of-distribution learning"

21 / 21 papers shown

Title
Out of Distribution Generalization in Machine Learning Martín Arjovsky OOD CML 23 89 0 03 Mar 2021
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 42 355 0 30 Nov 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 59 361 0 14 Feb 2020
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence T. Sejnowski 19 295 0 12 Feb 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 56 211 0 03 Jan 2020
Task Agnostic Continual Learning via Meta Learning Xu He Jakub Sygnowski Alexandre Galashov Andrei A. Rusu Yee Whye Teh Razvan Pascanu OOD CLL FedML 47 94 0 12 Jun 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 53 253 0 22 Feb 2019
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 109 360 0 10 Dec 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 78 299 0 28 Nov 2018
Don't forget, there is more than forgetting: new metrics for Continual Learning Natalia Díaz Rodríguez Vincenzo Lomonaco David Filliat Davide Maltoni CLL 38 160 0 31 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 964 93,936 0 11 Oct 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 78 1,209 0 23 Apr 2018
Task Agnostic Continual Learning Using Online Variational Bayes Chen Zeno Itay Golan Elad Hoffer Daniel Soudry CLL FedML BDL 29 110 0 27 Mar 2018
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 72 2,684 0 26 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 231 11,962 0 19 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 265 7,410 0 02 Dec 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 46 2,427 0 15 Jun 2016
Domain Generalization via Invariant Feature Representation Krikamol Muandet David Balduzzi Bernhard Schölkopf OOD 87 1,166 0 10 Jan 2013
A Model of Inductive Bias Learning Jonathan Baxter 95 1,210 0 01 Jun 2011
Frustratingly Easy Domain Adaptation Hal Daumé 97 1,796 0 10 Jul 2009