Do CIFAR-10 Classifiers Generalize to CIFAR-10?

1 June 2018

Benjamin Recht

Papers citing "Do CIFAR-10 Classifiers Generalize to CIFAR-10?"

50 / 244 papers shown

Title
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 75 65 0 26 Sep 2022
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier Harshita Boonlia T. Dam Md Meftahul Ferdaus S. Anavatti Ankan Mullick OODD 16 4 0 07 Sep 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 18 62 0 14 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 27 30 0 13 Jul 2022
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction Charles Lu Syed Rakin Ahmed Praveer Singh Jayashree Kalpathy-Cramer OOD 27 5 0 12 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 56 0 0 08 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 27 4 0 05 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 33 34 0 29 Jun 2022
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning Souradeep Dutta Yahan Yang E. Bernardis Yan Sun Insup Lee OOD VLM 12 4 0 10 Jun 2022
A Kernelised Stein Statistic for Assessing Implicit Generative Models Wenkai Xu Gesine Reinert SyDa 26 3 0 31 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 85 43 0 22 May 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 64 43 0 20 May 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 30 26 0 16 May 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 19 3 0 25 Apr 2022
A Siren Song of Open Source Reproducibility Edward Raff Andrew L. Farris 16 9 0 09 Apr 2022
Understanding out-of-distribution accuracies through quantifying difficulty of test samples Berfin Simsek Melissa Hall Levent Sagun 31 5 0 28 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning Jessica Hullman Sayash Kapoor Priyanka Nanayakkara Andrew Gelman Arvind Narayanan 33 39 0 12 Mar 2022
HEAR: Holistic Evaluation of Audio Representations Joseph P. Turian Jordie Shier H. Khan Bhiksha Raj Björn W. Schuller ... P. Esling Pranay Manocha Shinji Watanabe Zeyu Jin Yonatan Bisk 39 100 0 06 Mar 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 198 68 0 28 Feb 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration Ryan Soklaski Michael Yee Theodoros Tsiligkaridis AAML 19 14 0 24 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 50 642 0 21 Feb 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models Nikhil Kandpal Eric Wallace Colin Raffel PILM MU 54 275 0 14 Feb 2022
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images Roozbeh Yousefzadeh FAtt 14 5 0 05 Feb 2022
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification Takashi Ishida Ikko Yamane Nontawat Charoenphakdee Gang Niu Masashi Sugiyama BDL UQCV 48 14 0 01 Feb 2022
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes Amil Dravid Florian Schiffers Yunan Wu O. Cossairt Aggelos K. Katsaggelos GAN 27 2 0 22 Jan 2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 50 125 0 11 Jan 2022
Image prediction of disease progression by style-based manifold extrapolation T. Han Jakob Nikolas Kather F. Pedersoli M. Zimmermann S. Keil ... Fabian Kiessling Volkmar Schulz Christiane Kuhl S. Nebelung Daniel Truhn MedIm 24 3 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations Akira Sakai Taro Sunagawa Spandan Madan Kanata Suzuki Takashi Katoh Hiromichi Kobashi Hanspeter Pfister Pawan Sinha Xavier Boix Tomotake Sasaki 19 2 0 30 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 27 106 0 26 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 40 303 0 18 Oct 2021
Reappraising Domain Generalization in Neural Networks S. Sivaprasad Akshay Goindani Vaibhav Garg Ritam Basu Saiteja Kosgi Vineet Gandhi OOD AI4CE 23 6 0 15 Oct 2021
NeuroView: Explainable Deep Network Decision Making C. Barberan Randall Balestriero Richard G. Baraniuk FAtt 15 2 0 15 Oct 2021
The Neural Testbed: Evaluating Joint Predictions Ian Osband Zheng Wen S. Asghari Vikranth Dwaracherla Botao Hao M. Ibrahimi Dieterich Lawson Xiuyuan Lu Brendan O'Donoghue Benjamin Van Roy UQCV 29 21 0 09 Oct 2021
An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models A. Rao Hoi-To Wai 14 0 0 09 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 60 114 0 05 Oct 2021
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 18 6 0 26 Aug 2021
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room V. Srivastav A. Gangi N. Padoy OOD 26 11 0 26 Aug 2021
Built-in Elastic Transformations for Improved Robustness Sadaf Gulshad Ivan Sosnovik A. Smeulders AAML 22 1 0 20 Jul 2021
Epistemic Neural Networks Ian Osband Zheng Wen M. Asghari Vikranth Dwaracherla M. Ibrahimi Xiyuan Lu Benjamin Van Roy UQCV BDL 30 97 0 19 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 89 0 14 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 25 267 0 09 Jul 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning Anders Andreassen Yasaman Bahri Behnam Neyshabur Rebecca Roelofs OOD OODD 30 79 0 30 Jun 2021
Near-Optimal Linear Regression under Distribution Shift Qi Lei Wei Hu Jason D. Lee OOD 27 41 0 23 Jun 2021
On Deep Neural Network Calibration by Regularization and its Impact on Refinement Aditya Singh Alessandro Bay B. Sengupta Andrea Mirabile AAML 27 2 0 17 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? Weijian Deng Stephen Gould Liang Zheng 39 63 0 10 Jun 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance Andrew C. Miller Leon A. Gatys Joseph D. Futoma E. Fox 23 9 0 25 Apr 2021
Robust Object Detection via Instance-Level Temporal Cycle Confusion Xin Wang Thomas E. Huang Benlin Liu Feng Yu Xiaolong Wang Joseph E. Gonzalez Trevor Darrell ObjD 38 29 0 16 Apr 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 27 2 0 21 Mar 2021