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
Application of Sensitivity Analysis Methods for Studying Neural Network Models Jiaxuan Miao Sergey Matveev AAML 42 0 0 21 Apr 2025
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion Qisai Liu Zhanhong Jiang Joshua R. Waite Chao Liu Aditya Balu S. Sarkar AI4TS 29 0 0 11 Apr 2025
On the Robustness Tradeoff in Fine-Tuning Kunyang Li Jean-Charles Noirot Ferrand Ryan Sheatsley Blaine Hoak Yohan Beugin Eric Pauley Patrick McDaniel 64 0 0 19 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning Yu Zhou Bingyan Liu FedML OOD TTA 59 0 0 09 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 74 1 0 08 Mar 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study Ayana Moshruba Ihsen Alouani Maryam Parsa AAML 54 3 0 24 Feb 2025
The Vendiscope: An Algorithmic Microscope For Data Collections Amey P. Pasarkar Adji Bousso Dieng 46 2 0 15 Feb 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization Zhiyuan Wu Changkyu Choi Xiangcheng Cao V. Cevher Ali Ramezani-Kebrya 81 0 0 04 Feb 2025
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation Shambhavi Mishra Julio Silva-Rodrıguez Ismail ben Ayed M. Pedersoli Jose Dolz VLM 82 1 0 26 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 224 0 0 20 Nov 2024
How many classifiers do we need? Hyunsuk Kim Liam Hodgkinson Ryan Theisen Michael W. Mahoney 38 1 0 01 Nov 2024
SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets Toby Dylan Hocking Gabrielle Thibault Cameron Scott Bodine Paul Nelson Arellano Alexander F Shenkin Olivia Jasmine Lindly OOD 23 0 0 11 Oct 2024
IT $^3$ : Idempotent Test-Time Training N. Durasov Assaf Shocher Doruk Öner Gal Chechik Alexei A. Efros Pascal Fua OOD VLM 30 1 0 05 Oct 2024
ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance Afshar Shamsi Rejisa Becirovic A. Argha Ehsan Abbasnejad Hamid Alinejad-Rokny Arash Mohammadi TTA OOD 29 0 0 14 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts Roy Friedman Rhea Chowers 52 0 0 12 Sep 2024
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training Yuhan Ma Dan Sun Erdi Gao Ningjing Sang Iris Li Guanming Huang 31 7 0 07 Sep 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 66 6 0 20 Aug 2024
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function Hongye Zheng Bingxing Wang Minheng Xiao Honglin Qin Zhizhong Wu Lianghao Tan ODL 33 21 0 07 Aug 2024
Questionable practices in machine learning Gavin Leech Juan J. Vazquez Misha Yagudin Niclas Kupper Laurence Aitchison 56 4 0 17 Jul 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
Assessing Model Generalization in Vicinity Yuchi Liu Yifan Sun Jingdong Wang Liang Zheng AAML 33 0 0 13 Jun 2024
Privacy-Aware Visual Language Models Laurens Samson Nimrod Barazani S. Ghebreab Yukiyasu Asano PILM VLM 50 1 0 27 May 2024
NC-TTT: A Noise Contrastive Approach for Test-Time Training David Osowiechi G. A. V. Hakim Mehrdad Noori Milad Cheraghalikhani Ali Bahri Moslem Yazdanpanah Ismail Ben Ayed Christian Desrosiers 30 2 0 12 Apr 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line Aman Mehra Rahul Saxena Taeyoun Kim Christina Baek Zico Kolter Aditi Raghunathan UQCV 49 1 0 02 Apr 2024
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis Santosh Sanjeev Nuren Zhaksylyk Ibrahim Almakky Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub 42 3 0 20 Mar 2024
RAF-GI: Towards Robust, Accurate and Fast-Convergent Gradient Inversion Attack in Federated Learning Can Liu Jin Wang Dong-Yang Yu AAML 21 0 0 13 Mar 2024
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning Can Liu Jin Wang 21 1 0 13 Mar 2024
Better than classical? The subtle art of benchmarking quantum machine learning models Joseph Bowles Shahnawaz Ahmed Maria Schuld 42 65 0 11 Mar 2024
Video Relationship Detection Using Mixture of Experts A. Shaabana Zahra Gharaee Paul Fieguth 34 1 0 06 Mar 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress Ameya Prabhu Vishaal Udandarao Philip Torr Matthias Bethge Adel Bibi Samuel Albanie 47 3 0 29 Feb 2024
An Empirical Study Into What Matters for Calibrating Vision-Language Models Weijie Tu Weijian Deng Dylan Campbell Stephen Gould Tom Gedeon VLM 35 7 0 12 Feb 2024
Cacophony: An Improved Contrastive Audio-Text Model Ge Zhu Jordan Darefsky Zhiyao Duan AuLLM 46 11 0 10 Feb 2024
Producing Plankton Classifiers that are Robust to Dataset Shift Cheng Chen S. Kyathanahally Marta Reyes Stefanie Merkli E. Merz Emanuele Francazi Marvin Hoege F. Pomati Marco Baity-Jesi 23 2 0 25 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 36 3 0 14 Jan 2024
Image edge enhancement for effective image classification Tianhao Bu Michalis Lazarou Tania Stathaki 21 2 0 13 Jan 2024
Function-Space Regularization in Neural Networks: A Probabilistic Perspective Tim G. J. Rudner Sanyam Kapoor Shikai Qiu A. Wilson 37 12 0 28 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 17 4 0 04 Dec 2023
Pre-registration for Predictive Modeling Jake M. Hofman Angelos Chatzimparmpas Amit Sharma Duncan J. Watts Jessica Hullman AI4CE 31 1 0 30 Nov 2023
Should We Learn Most Likely Functions or Parameters? Shikai Qiu Tim G. J. Rudner Sanyam Kapoor Andrew Gordon Wilson 21 5 0 27 Nov 2023
DMLR: Data-centric Machine Learning Research -- Past, Present and Future Luis Oala M. Maskey Lilith Bat-Leah Alicia Parrish Nezihe Merve Gürel ... Lora Aroyo Ce Zhang Joaquin Vanschoren Isabelle Guyon Peter Mattson AI4CE 39 11 0 21 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts Shashank Kotyan Danilo Vasconcellos Vargas AAML 23 0 0 16 Nov 2023
Frequency Domain-based Dataset Distillation DongHyeok Shin Seungjae Shin Il-Chul Moon DD 35 19 0 15 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 17 0 0 14 Nov 2023
In Search of Lost Online Test-time Adaptation: A Survey Zixin Wang Yadan Luo Liang Zheng Zhuoxiao Chen Sen Wang Zi Huang 32 16 0 31 Oct 2023
Multi-scale Diffusion Denoised Smoothing Jongheon Jeong Jinwoo Shin DiffM 29 8 0 25 Oct 2023
On Synthetic Data for Back Translation Jiahao Xu Yubin Ruan Wei Bi Guoping Huang Shuming Shi Lihui Chen Lemao Liu 24 12 0 20 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 28 0 0 19 Oct 2023
ClusT3: Information Invariant Test-Time Training G. A. V. Hakim David Osowiechi Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers TTA OOD 31 10 0 18 Oct 2023
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis Chong You Xingjian Leng Zijian Wang Yang Yang Zi Huang Liang Zheng OOD 38 8 0 06 Oct 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 41 11 0 25 Sep 2023