Title
Scaling Laws For Deep Learning Based Image Reconstruction Tobit Klug Reinhard Heckel 116 13 0 27 Sep 2022
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets Esla Timothy Anzaku Haohan Wang Arnout Van Messem W. D. Neve 49 2 0 05 Sep 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 631 50 0 01 Sep 2022
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey Elahe Arani Shruthi Gowda Ratnajit Mukherjee Omar Magdy Senthilkumar S. Kathiresan Bahram Zonooz ObjD OOD 79 28 0 23 Aug 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization Anshul Nasery Sravanti Addepalli Praneeth Netrapalli Prateek Jain OOD FedML 88 1 0 19 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen Gabriel Ilharco Mitchell Wortsman Sewoong Oh Ludwig Schmidt CLIP VLM 180 108 0 10 Aug 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 143 76 0 19 Jul 2022
Progress and limitations of deep networks to recognize objects in unusual poses Amro Abbas Stéphane Deny OOD AAML 60 17 0 16 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 91 19 0 14 Jul 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness Sara Fridovich-Keil Brian Bartoldson James Diffenderfer B. Kailkhura P. Bremer OOD 90 0 0 08 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 115 29 0 06 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 59 5 0 05 Jul 2022
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 128 447 0 29 Jun 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 108 88 0 27 Jun 2022
A Meta-Analysis of Distributionally-Robust Models Ben Feuer Ameya Joshi Chinmay Hegde OOD VLM 70 3 0 15 Jun 2022
Enhancing Distributional Stability among Sub-populations Jiashuo Liu Jiayun Wu Jie Peng Xiaoyu Wu Zheyan Shen Yangqiu Song Peng Cui OOD 57 3 0 07 Jun 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining Shashank Goel Hritik Bansal S. Bhatia Ryan Rossi Vishwa Vinay Aditya Grover CLIP VLM 280 140 0 28 May 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures Emmanuel Abbe Samy Bengio Elisabetta Cornacchia Jon M. Kleinberg Aryo Lotfi M. Raghu Chiyuan Zhang MLT 51 10 0 26 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin Xiangyang Ji Antoni B. Chan OOD 89 16 0 25 May 2022
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja Rachit Bansal Kyunghyun Cho João Sedoc Naomi Saphra 331 48 0 24 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 157 48 0 22 May 2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) Alex Fang Gabriel Ilharco Mitchell Wortsman Yu Wan Vaishaal Shankar Achal Dave Ludwig Schmidt VLM OOD 108 149 0 03 May 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 99 57 0 10 Apr 2022
Understanding out-of-distribution accuracies through quantifying difficulty of test samples Berfin Simsek Melissa Hall Levent Sagun 62 5 0 28 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 109 32 0 18 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 100 30 0 15 Mar 2022
Do better ImageNet classifiers assess perceptual similarity better? Manoj Kumar N. Houlsby Nal Kalchbrenner E. D. Cubuk 110 34 0 09 Mar 2022
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 130 113 0 02 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 142 687 0 21 Feb 2022
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun Nikhil Ghosh Saurabh Garg Boaz Barak Preetum Nakkiran OOD 87 21 0 20 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision Priya Goyal Quentin Duval Isaac Seessel Mathilde Caron Ishan Misra Levent Sagun Armand Joulin Piotr Bojanowski VLM SSL 128 111 0 16 Feb 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 145 65 0 14 Feb 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture Yamini Bansal Behrooz Ghorbani Ankush Garg Biao Zhang M. Krikun Colin Cherry Behnam Neyshabur Orhan Firat 108 49 0 04 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Yue Liu Han Zhao OOD 137 35 0 30 Jan 2022
Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa Pang Wei Koh Tony Lee Irena Gao Sang Michael Xie ... Kate Saenko Tatsunori Hashimoto Sergey Levine Chelsea Finn Percy Liang OOD 67 102 0 09 Dec 2021
Failure Modes of Domain Generalization Algorithms T. Galstyan Hrayr Harutyunyan Hrant Khachatrian Greg Ver Steeg Aram Galstyan OOD 72 11 0 26 Nov 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp Günter Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 314 104 0 21 Oct 2021
On the Robustness of Reading Comprehension Models to Entity Renaming Jun Yan Yang Xiao Sagnik Mukherjee Bill Yuchen Lin Robin Jia Xiang Ren 104 20 0 16 Oct 2021
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias Ting-Rui Chiang 50 4 0 11 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 116 119 0 05 Oct 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 213 741 0 04 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 168 536 0 31 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 94 3 0 30 Aug 2021
Dangers of Bayesian Model Averaging under Covariate Shift Pavel Izmailov Patrick K. Nicholson Sanae Lotfi A. Wilson OOD UQCV BDL 151 46 0 22 Jun 2021
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 174 33 0 27 Apr 2021
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works Delaram Sadeghi A. Shoeibi Navid Ghassemi Parisa Moridian Ali Khadem ... Juan M Gorriz F. Khozeimeh Yu-Dong Zhang S. Nahavandi U. Acharya 133 108 0 24 Feb 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 342 4,109 0 17 Jun 2020
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.6K 14,662 0 07 Oct 2016