Does progress on ImageNet transfer to real-world datasets?

11 January 2023

Papers citing "Does progress on ImageNet transfer to real-world datasets?"

30 / 30 papers shown

Title
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data Dayananda Herurkar Jörn Hees Vesselin Tzvetkov Andreas Dengel 43 0 0 29 Apr 2025
Benchmarking Transferability: A Framework for Fair and Robust Evaluation Alireza Kazemi Helia Rezvani Mahsa Baktashmotlagh 29 0 0 28 Apr 2025
Medical Large Language Model Benchmarks Should Prioritize Construct Validity Ahmed M. Alaa Thomas Hartvigsen Niloufar Golchini Shiladitya Dutta Frances Dean Inioluwa Deborah Raji Travis Zack AI4MH ELM LM&MA 52 2 0 12 Mar 2025
Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture John Burden Marko Tesic Lorenzo Pacchiardi José Hernández-Orallo 36 0 0 21 Feb 2025
The Inherent Adversarial Robustness of Analog In-Memory Computing Corey Lammie Julian Büchel A. Vasilopoulos Manuel Le Gallo Abu Sebastian AAML 44 0 0 11 Nov 2024
VIBES -- Vision Backbone Efficient Selection Joris Guerin Shray Bansal Amirreza Shaban Paulo Mann Harshvardhan Gazula VLM 28 0 0 11 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 40 0 0 04 Oct 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning Tian Liu Huixin Zhang Shubham Parashar Shu Kong 29 2 0 17 Jun 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 39 3 0 23 May 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress Ameya Prabhu Vishaal Udandarao Philip Torr Matthias Bethge Adel Bibi Samuel Albanie 42 3 0 29 Feb 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry Lars Nieradzik Henrike Stephani Jördis Sieburg-Rockel Stephanie Helmling Andrea Olbrich Janis Keuper FAtt 44 3 0 18 Feb 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 26 0 0 08 Feb 2024
On Catastrophic Inheritance of Large Foundation Models Hao Chen Bhiksha Raj Xing Xie Jindong Wang AI4CE 56 12 0 02 Feb 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
Simplifying Neural Network Training Under Class Imbalance Ravid Shwartz-Ziv Micah Goldblum Yucen Lily Li C. Bayan Bruss Andrew Gordon Wilson 31 14 0 05 Dec 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 42 16 0 15 Nov 2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? Megan Richards Polina Kirichenko Diane Bouchacourt Mark Ibrahim VLM 68 13 0 24 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 30 6 0 20 Jul 2023
Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning Lars Nieradzik Jördis Sieburg-Rockel Stephanie Helmling J. Keuper Thomas Weibel Andrea Olbrich Henrike Stephani 24 6 0 18 Jul 2023
A Novel Site-Agnostic Multimodal Deep Learning Model to Identify Pro-Eating Disorder Content on Social Media J. Feldman 27 0 0 06 Jul 2023
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations Gregor Geigle Radu Timofte Goran Glavas VLM MLLM 28 5 0 14 Jun 2023
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 36 4 0 06 Jun 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 41 9 0 04 Apr 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Ramé Kartik Ahuja Jianyu Zhang Matthieu Cord Léon Bottou David Lopez-Paz MoMe OODD 37 81 0 20 Dec 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 212 487 0 01 Oct 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 319 3,708 0 11 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 73 101 0 18 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 309 36,371 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014