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
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework Sina Baharlouei Meisam Razaviyayn FaML OOD 48 0 0 20 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation Damian Sójka Sebastian Cygert Bartlomiej Twardowski Tomasz Trzciñski TTA 15 5 0 18 Sep 2023
On the Robustness of Object Detection Models on Aerial Images Hao He Jian Ding Gui-Song Xia Gui-Song Xia 38 5 0 29 Aug 2023
CAME: Contrastive Automated Model Evaluation Ru Peng Qiuyang Duan Haobo Wang Jiachen Ma Yanbo Jiang Yongjun Tu Xiu Jiang Jun Zhao ELM 31 4 0 22 Aug 2023
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Yu-Sheng Li Xun Xu Yongyi Su Kui Jia OOD VLM TTA 27 18 0 19 Aug 2023
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability Seokhyeon Ha S. Jung Jungwook Lee 27 3 0 15 Aug 2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use Yonatan Bitton Hritik Bansal Jack Hessel Rulin Shao Wanrong Zhu Anas Awadalla Josh Gardner Rohan Taori L. Schimdt VLM 31 77 0 12 Aug 2023
Semantic Equivariant Mixup Zongbo Han Tianchi Xie Bing Wu Qinghua Hu Changqing Zhang AAML 70 0 0 12 Aug 2023
Multimodal LLMs for health grounded in individual-specific data Anastasiya Belyaeva J. Cosentino F. Hormozdiari Krish Eswaran S. Shetty Greg C. Corrado Andrew Carroll Cory Y. McLean N. Furlotte LM&MA 33 49 0 18 Jul 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning Zhili Feng Anna Bair J. Zico Kolter VLM 24 6 0 10 Jul 2023
PILLAR: How to make semi-private learning more effective Francesco Pinto Yaxian Hu Fanny Yang Amartya Sanyal 52 11 0 06 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 31 39 0 06 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld Saurabh Garg UQCV 40 4 0 01 Jun 2023
Characterizing Out-of-Distribution Error via Optimal Transport Yuzhe Lu Yilong Qin Runtian Zhai Andrew Shen Ketong Chen Zhenlin Wang Soheil Kolouri Simon Stepputtis Joseph Campbell Katia P. Sycara OODD 40 10 0 25 May 2023
Adaptive Domain Generalization for Digital Pathology Images A. Walker MedIm OOD 27 1 0 09 May 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations Weixin Liang Yining Mao Yongchan Kwon Xinyu Yang James Zou OODD 42 3 0 04 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng Miao Xiong Bryan Hooi 44 6 0 02 May 2023
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation Shuyu Miao Lin Zheng Qingbin Liu and Hong Jin 39 5 0 17 Apr 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 32 11 0 13 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions Mohammadreza Mofayezi Yasamin Medghalchi DiffM VLM 32 3 0 06 Apr 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling Ethan Wisdom Tejas Gokhale Chaowei Xiao Yezhou Yang 26 0 0 30 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 38 9 0 23 Mar 2023
MODIFY: Model-driven Face Stylization without Style Images Yuhe Ding Jian Liang Jie Cao A. Zheng Ran He CVBM 28 2 0 17 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 44 18 0 15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field Construction Weiyang Jin Yongpei Zhu Yuxi Peng DiffM 20 0 0 14 Mar 2023
Learning to Adapt to Online Streams with Distribution Shifts Chenyan Wu Yimu Pan Yandong Li James Z. Wang TTA 30 3 0 02 Mar 2023
Over-training with Mixup May Hurt Generalization Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao NoLa 29 11 0 02 Mar 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu Jiaxiang Wu Yifan Zhang Z. Wen Yaofo Chen P. Zhao Mingkui Tan TTA 35 248 0 24 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 26 10 0 13 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 23 6 0 13 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 33 31 0 06 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 44 87 0 05 Feb 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi Nicholas Carlini Ananth Balashankar Ludwig Schmidt Cho-Jui Hsieh Alex Beutel Yao Qin OOD 23 9 0 02 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation Weijian Deng Yumin Suh Stephen Gould Liang Zheng UQCV 29 12 0 02 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 40 13 0 01 Feb 2023
Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement Batu Kaan Oezen 16 0 0 20 Jan 2023
Benchmark for Uncertainty & Robustness in Self-Supervised Learning H. Bui Iliana Maifeld-Carucci OOD 19 1 0 23 Dec 2022
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification Ming-Chang Chiu Pin-Yu Chen Xuezhe Ma 36 6 0 16 Dec 2022
A Learning Based Hypothesis Test for Harmful Covariate Shift T. Ginsberg Zhongyuan Liang Rahul G. Krishnan 16 11 0 06 Dec 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 30 10 0 28 Nov 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 27 74 0 25 Nov 2022
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization Liang Xiao Jiaolong Xu Dawei Zhao Erke Shang Qi Zhu Bin Dai OOD 26 6 0 13 Nov 2022
Fine-Tuning Language Models via Epistemic Neural Networks Ian Osband S. Asghari Benjamin Van Roy Nat McAleese John Aslanides G. Irving UQLM 33 16 0 03 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas Griffiths 27 12 0 02 Nov 2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound P. Wilson Mahdi Gilany A. Jamzad Fahimeh Fooladgar Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi P. Mousavi 42 12 0 01 Nov 2022
Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network Jihoon Chung Bo Shen Zhenyu Zhen Kong AI4CE 19 23 0 28 Oct 2022
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection Andrew Bai Cho-Jui Hsieh Wendy Kan Hsuan-Tien Lin GAN 34 5 0 21 Oct 2022
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow David Osowiechi G. A. V. Hakim Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers OOD 27 22 0 20 Oct 2022
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise Svetlana Pavlitskaya Joël Oswald J. Marius Zöllner NoLa AAML 24 5 0 27 Sep 2022