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2301.04644
Cited By
Does progress on ImageNet transfer to real-world datasets?
Neural Information Processing Systems (NeurIPS), 2023
11 January 2023
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
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Papers citing
"Does progress on ImageNet transfer to real-world datasets?"
31 / 31 papers shown
BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks
Samuel Stevens
195
0
0
20 Nov 2025
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
Weidong Zhang
Pak Lun Kevin Ding
Huan Liu
170
1
0
01 Nov 2025
Data-Centric Lessons To Improve Speech-Language Pretraining
Vishaal Udandarao
Zhiyun Lu
Xuankai Chang
Yongqiang Wang
Violet Z. Yao
Albin Madapally Jose
Fartash Faghri
Josh Gardner
Chung-Cheng Chiu
184
2
0
22 Oct 2025
The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning
Mayank Ravishankara
Varindra V. Persad Maharaj
ELM
296
4
0
05 Oct 2025
Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System
Romeo Valentin
Sydney M. Katz
Artur B. Carneiro
Don Walker
Mykel J. Kochenderfer
EDL
UQCV
243
1
0
13 Aug 2025
Do Multiple Instance Learning Models Transfer?
Daniel Shao
Richard J. Chen
Andrew H. Song
Joel Runevic
Ming Y. Lu
Tong Ding
Faisal Mahmood
MedIm
385
20
0
10 Jun 2025
Asymmetric Duos: Sidekicks Improve Uncertainty
Tim G. Zhou
Evan Shelhamer
Geoff Pleiss
UQCV
547
1
0
24 May 2025
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data
Dayananda Herurkar
Jörn Hees
Vesselin Tzvetkov
Andreas Dengel
286
0
0
29 Apr 2025
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Alireza Kazemi
Helia Rezvani
Mahsa Baktashmotlagh
413
2
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
187
27
0
12 Mar 2025
Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture
International Joint Conference on Artificial Intelligence (IJCAI), 2024
John Burden
Marko Tesic
Lorenzo Pacchiardi
José Hernández-Orallo
472
12
0
21 Feb 2025
The Inherent Adversarial Robustness of Analog In-Memory Computing
Nature Communications (Nat. Commun.), 2024
Corey Lammie
Julian Büchel
A. Vasilopoulos
Corey Lammie
Abu Sebastian
AAML
418
10
0
11 Nov 2024
Vision Backbone Efficient Selection for Image Classification in Low-Data Regimes
Joris Guerin
Shray Bansal
Amirreza Shaban
Paulo Mann
Harshvardhan Gazula
VLM
432
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
299
0
0
04 Oct 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Tian Liu
Huixin Zhang
Shubham Parashar
Shu Kong
426
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
531
13
0
23 May 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
Christian Schroeder de Witt
Vishaal Udandarao
Juil Sock
Matthias Bethge
Adel Bibi
Samuel Albanie
281
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
345
9
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
395
2
0
08 Feb 2024
On Catastrophic Inheritance of Large Foundation Models
Hao Chen
Bhiksha Raj
Xing Xie
Yongfeng Zhang
AI4CE
335
15
0
02 Feb 2024
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner
Sanyam Kapoor
Shikai Qiu
A. Wilson
251
23
0
28 Dec 2023
Simplifying Neural Network Training Under Class Imbalance
Neural Information Processing Systems (NeurIPS), 2023
Ravid Shwartz-Ziv
Micah Goldblum
Yucen Lily Li
C. Bayan Bruss
Andrew Gordon Wilson
322
35
0
05 Dec 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
International Conference on Machine Learning (ICML), 2023
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
492
26
0
15 Nov 2023
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
Megan Richards
Polina Kirichenko
Diane Bouchacourt
Mark Ibrahim
VLM
348
14
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
441
11
0
20 Jul 2023
Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning
Microscopy and Microanalysis (M&M), 2023
Lars Nieradzik
Jördis Sieburg-Rockel
Stephanie Helmling
J. Keuper
Thomas Weibel
Andrea Olbrich
Henrike Stephani
313
11
0
18 Jul 2023
A Novel Site-Agnostic Multimodal Deep Learning Model to Identify Pro-Eating Disorder Content on Social Media
J. Feldman
379
0
0
06 Jul 2023
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
Gregor Geigle
Radu Timofte
Goran Glavaš
VLM
MLLM
211
6
0
14 Jun 2023
Quantifying the Variability Collapse of Neural Networks
International Conference on Machine Learning (ICML), 2023
Jing-Xue Xu
Haoxiong Liu
381
10
0
06 Jun 2023
ERM++: An Improved Baseline for Domain Generalization
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Piotr Teterwak
Kuniaki Saito
Theodoros Tsiligkaridis
Kate Saenko
Bryan A. Plummer
OOD
364
19
0
04 Apr 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
International Conference on Machine Learning (ICML), 2022
Alexandre Ramé
Kartik Ahuja
Jianyu Zhang
Matthieu Cord
Léon Bottou
David Lopez-Paz
MoMe
OODD
611
107
0
20 Dec 2022
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