Modularity Trumps Invariance for Compositional Robustness

15 June 2023

Papers citing "Modularity Trumps Invariance for Compositional Robustness"

50 / 50 papers shown

Title
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 157 80 0 22 Feb 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 94 34 0 13 Oct 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 117 29 0 15 Jul 2022
Improving Compositional Generalization with Latent Structure and Data Augmentation Linlu Qiu Peter Shaw Panupong Pasupat Pawel Krzysztof Nowak Tal Linzen Fei Sha Kristina Toutanova CoGe 88 57 0 14 Dec 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 117 74 0 17 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 68 53 0 12 Jul 2021
How Modular Should Neural Module Networks Be for Systematic Generalization? Vanessa D’Amario Tomotake Sasaki Xavier Boix 53 17 0 15 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 98 231 0 14 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 113 317 0 08 Jun 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 135 273 0 20 Apr 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 262 1,028 0 03 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 144 322 0 22 Feb 2021
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training Mario Geiger Leonardo Petrini Matthieu Wyart DRL 72 11 0 30 Dec 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 66 384 0 14 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 96 312 0 12 Oct 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 103 1,158 0 02 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 363 1,759 0 29 Jun 2020
An Analysis of the Adaptation Speed of Causal Models Rémi Le Priol Reza Babanezhad Harikandeh Yoshua Bengio Simon Lacoste-Julien CML 41 14 0 18 May 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 398 18,913 0 13 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 651 4,925 0 23 Jan 2020
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Daniel Keysers Nathanael Scharli Nathan Scales Hylke Buisman Daniel Furrer ... Tibor Tihon Dmitry Tsarkov Tianlin Li Marc van Zee Olivier Bousquet CoGe 68 355 0 20 Dec 2019
CLOSURE: Assessing Systematic Generalization of CLEVR Models Dzmitry Bahdanau H. D. Vries Timothy J. O'Donnell Shikhar Murty Philippe Beaudoin Yoshua Bengio Aaron Courville NAI 65 90 0 12 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 138 1,309 0 05 Dec 2019
Generalizing to unseen domains via distribution matching Isabela Albuquerque João Monteiro Mohammad Javad Darvishi Bayazi T. Falk Ioannis Mitliagkas OOD 91 157 0 03 Nov 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 113 701 0 29 Oct 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 205 2,246 0 05 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 629 4,814 0 13 May 2019
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization K. Akuzawa Yusuke Iwasawa Y. Matsuo OOD 80 78 0 29 Apr 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 81 164 0 08 Mar 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 143 1,475 0 29 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 228 316 0 05 Nov 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 771 3,132 0 04 Jun 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 74 1,356 0 16 Feb 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 117 388 0 20 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 327 887 0 11 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 318 9,815 0 25 Oct 2017
Unified Deep Supervised Domain Adaptation and Generalization Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto OOD 98 793 0 28 Sep 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 185 940 0 22 May 2017
Learning to Reason: End-to-End Module Networks for Visual Question Answering Ronghang Hu Jacob Andreas Marcus Rohrbach Trevor Darrell Kate Saenko KELM GNN ReLM LRM 137 579 0 18 Apr 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 284 4,680 0 17 Feb 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 319 2,392 0 20 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 132 711 0 14 Dec 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 105 3,173 0 06 Jul 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 166 4,240 0 12 Jun 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 181 1,946 0 24 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,444 0 02 Dec 2015
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 149 1,078 0 09 Nov 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 318 7,401 0 05 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 405 9,527 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 233 5,215 0 10 Feb 2015