What shapes feature representations? Exploring datasets, architectures, and training

22 June 2020

Papers citing "What shapes feature representations? Exploring datasets, architectures, and training"

36 / 36 papers shown

Title
Exploring Causes of Representational Similarity in Machine Learning Models Zeyu Michael Li Hung Anh Vu Damilola Awofisayo Emily Wenger CML 199 0 0 20 May 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Simone Bombari Marco Mondelli 190 0 0 03 Feb 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations Haocheng Dai Sarang Joshi VLM 102 0 0 03 Jan 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 71 0 0 03 Jan 2025
Uncovering Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 101 3 0 01 Jan 2025
What to align in multimodal contrastive learning? Benoit Dufumier J. Castillo-Navarro D. Tuia Jean-Philippe Thiran 86 4 0 11 Sep 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 190 9 0 26 May 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 123 23 0 04 Mar 2024
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 119 73 0 10 May 2023
Learning explanations that are hard to vary Giambattista Parascandolo Alexander Neitz Antonio Orvieto Luigi Gresele Bernhard Schölkopf FAtt 58 184 0 01 Sep 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 65 359 0 13 Jun 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 198 2,044 0 16 Apr 2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle D. Schwab Ari S. Morcos 62 142 0 29 Feb 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 241 347 0 22 Jan 2020
What's Hidden in a Randomly Weighted Neural Network? Vivek Ramanujan Mitchell Wortsman Aniruddha Kembhavi Ali Farhadi Mohammad Rastegari 66 356 0 29 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine L. Hermann Ting Chen Simon Kornblith CVBM 50 21 0 20 Nov 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 60 241 0 11 Jun 2019
Generative Continual Concept Learning Mohammad Rostami Soheil Kolouri J. McClelland Praveen K. Pilly CLL BDL 36 46 0 10 Jun 2019
Implicit Regularization in Deep Matrix Factorization Sanjeev Arora Nadav Cohen Wei Hu Yuping Luo AI4CE 74 503 0 31 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 136 1,408 0 01 May 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 215 1,638 0 28 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 96 2,662 0 29 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 125 1,084 0 21 Nov 2018
A mathematical theory of semantic development in deep neural networks Andrew M. Saxe James L. McClelland Surya Ganguli 73 270 0 23 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,511 0 11 Oct 2018
An analytic theory of generalization dynamics and transfer learning in deep linear networks Andrew Kyle Lampinen Surya Ganguli OOD 62 131 0 27 Sep 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 153 1,324 0 23 May 2018
Deep learning generalizes because the parameter-function map is biased towards simple functions Guillermo Valle Pérez Chico Q. Camargo A. Louis MLT AI4CE 75 231 0 22 May 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 174 1,380 0 22 Jan 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 114 3,147 0 29 Nov 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 98 1,407 0 02 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 325 7,478 0 02 Dec 2016
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 99 676 0 30 Aug 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks Yossi Adi Einat Kermany Yonatan Belinkov Ofer Lavi Yoav Goldberg 59 545 0 15 Aug 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 162 1,844 0 20 Dec 2013