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2004.10340
Cited By
The iWildCam 2020 Competition Dataset
21 April 2020
Sara Beery
Elijah Cole
Arvi Gjoka
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Papers citing
"The iWildCam 2020 Competition Dataset"
50 / 78 papers shown
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Chenghui Li
Frederic Sala
Karl Rohe
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When to retrain a machine learning model
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Schwinn Leo
Sprague Kyle
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Markovich Thomas
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20 May 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
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Xiran Wang
Jian Zhang
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MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models
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Shicheng Wen
Pin-Yu Chen
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Evaluating Model Performance Under Worst-case Subpopulations
Mike Li
Hongseok Namkoong
Shangzhou Xia
Shangzhou Xia
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ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna
Medhanie Irgau
David B. Lobell
Stefano Ermon
VLM
843
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16 Jun 2024
Assessing Model Generalization in Vicinity
Yuchi Liu
Yifan Sun
Jingdong Wang
Liang Zheng
AAML
237
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13 Jun 2024
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Riccardo Fogliato
Pratik Patil
Mathew Monfort
Pietro Perona
307
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11 Jun 2024
Adapting Prediction Sets to Distribution Shifts Without Labels
Kevin Kasa
Zhiyu Zhang
Heng Yang
Graham W. Taylor
503
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03 Jun 2024
Selective Classification Under Distribution Shifts
Hengyue Liang
Le Peng
Ju Sun
UQCV
497
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08 May 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness
Yuchi Liu
Lei Wang
Yuli Zou
James Zou
Liang Zheng
UQCV
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19 Apr 2024
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
Proceedings of the VLDB Endowment (PVLDB), 2024
Lindsey Linxi Wei
Chung Yik Edward Yeung
Hongjian Yu
Jingchuan Zhou
Dong He
Magdalena Balazinska
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09 Apr 2024
Domain Generalisation via Imprecise Learning
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Siu Lun Chau
S. Bouabid
Krikamol Muandet
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334
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06 Apr 2024
Predictive Inference in Multi-environment Scenarios
John C. Duchi
Suyash Gupta
Kuanhao Jiang
Pragya Sur
238
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25 Mar 2024
Improving Generalization via Meta-Learning on Hard Samples
Computer Vision and Pattern Recognition (CVPR), 2024
Nishant Jain
A. Suggala
Pradeep Shenoy
OOD
OffRL
278
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18 Mar 2024
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang
Haozhe Si
Huajie Shao
Han Zhao
342
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05 Feb 2024
Scalable Pre-training of Large Autoregressive Image Models
International Conference on Machine Learning (ICML), 2024
Alaaeldin El-Nouby
Michal Klein
Shuangfei Zhai
Miguel Angel Bautista
Alexander Toshev
Vaishaal Shankar
J. Susskind
Armand Joulin
VLM
381
123
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16 Jan 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
International Conference on Machine Learning (ICML), 2024
Helen Qu
Sang Michael Xie
314
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08 Jan 2024
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs
International Conference on Information and Knowledge Management (CIKM), 2023
Vardaan Pahuja
Weidi Luo
Yu Gu
Cheng-Hao Tu
Hong-You Chen
Tanya Berger-Wolf
Charles V. Stewart
Song Gao
Wei-Lun Chao
Yu-Chuan Su
389
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31 Dec 2023
Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings
Gyandev Gupta
Bashir Rastegarpanah
Amalendu Iyer
Joshua Rubin
K. Kenthapadi
237
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04 Dec 2023
BioCLIP: A Vision Foundation Model for the Tree of Life
Computer Vision and Pattern Recognition (CVPR), 2023
Samuel Stevens
Jiaman Wu
Matthew J Thompson
Elizabeth G Campolongo
Chan Hee Song
...
Wasila M Dahdul
Charles V. Stewart
Tanya Berger-Wolf
Wei-Lun Chao
Yu-Chuan Su
339
205
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30 Nov 2023
Robust Fine-Tuning of Vision-Language Models for Domain Generalization
IEEE Conference on High Performance Extreme Computing (HPEC), 2023
Kevin Vogt-Lowell
Noah Lee
Theodoros Tsiligkaridis
Marc Vaillant
VLM
223
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03 Nov 2023
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Soumyendu Sarkar
Ashwin Ramesh Babu
Sajad Mousavi
Zachariah Carmichael
Vineet Gundecha
Sahand Ghorbanpour
Ricardo Luna
Antonio Guillen-Perez
Avisek Naug
AAML
DiffM
292
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28 Oct 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations
Salah Ghamizi
Maxime Cordy
Yuejun Guo
Mike Papadakis
And Yves Le Traon
199
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11 Sep 2023
Distance Matters For Improving Performance Estimation Under Covariate Shift
Mélanie Roschewitz
Ben Glocker
354
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14 Aug 2023
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning
Aaditya Naik
Adam Stein
Yinjun Wu
Mayur Naik
Eric Wong
351
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13 Aug 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
Neural Information Processing Systems (NeurIPS), 2023
Vivek Ramanujan
Thao Nguyen
Sewoong Oh
Ludwig Schmidt
Ali Farhadi
OOD
239
37
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24 Jul 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
Neural Information Processing Systems (NeurIPS), 2023
Florian Seligmann
P. Becker
Michael Volpp
Gerhard Neumann
UQCV
408
26
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21 Jun 2023
Rectifying Group Irregularities in Explanations for Distribution Shift
Adam Stein
Yinjun Wu
Eric Wong
Mayur Naik
414
1
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25 May 2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues
Pattern Recognition Letters (PR), 2023
Alceu Bissoto
Catarina Barata
Eduardo Valle
Sandra Avila
OOD
254
9
0
09 May 2023
DataComp: In search of the next generation of multimodal datasets
Neural Information Processing Systems (NeurIPS), 2023
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
810
650
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27 Apr 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
Computer Vision and Pattern Recognition (CVPR), 2023
Eugenia Iofinova
Alexandra Peste
Dan Alistarh
306
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25 Apr 2023
Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Neural Information Processing Systems (NeurIPS), 2023
Yongqiang Chen
Wei Huang
Kaiwen Zhou
Yatao Bian
Bo Han
James Cheng
MLT
OOD
OODD
300
45
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22 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
IEEE International Conference on Computer Vision (ICCV), 2023
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
341
3
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21 Apr 2023
Diagnosing Model Performance Under Distribution Shift
Tiffany Cai
Hongseok Namkoong
Steve Yadlowsky
632
41
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03 Mar 2023
Conservation Tools: The Next Generation of Engineering--Biology Collaborations
Journal of the Royal Society Interface (J. R. Soc. Interface), 2023
Andrew Schulz
Cassie Shriver
Suzanne Stathatos
Benjamin Seleb
E. Weigel
Young-Hui Chang
M. S. Bhamla
David Hu
Biomolecular Engineering Georgia Tech
Zoo Atlanta
233
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03 Jan 2023
Minimax Optimal Estimation of Stability Under Distribution Shift
Operational Research (OR), 2022
Hongseok Namkoong
Yuanzhe Ma
Peter Glynn
394
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13 Dec 2022
Stochastic Optimization for Spectral Risk Measures
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ronak R. Mehta
Vincent Roulet
Krishna Pillutla
Lang Liu
Zaïd Harchaoui
220
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10 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Computer Vision and Pattern Recognition (CVPR), 2022
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
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204
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01 Dec 2022
Interactive Visual Feature Search
Devon Ulrich
Ruth C. Fong
FAtt
344
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Active Learning with Expected Error Reduction
Stephen Mussmann
Julia Reisler
Daniel Tsai
Ehsan Mousavi
S. O'Brien
M. Goldszmidt
UQCV
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198
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17 Nov 2022
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma
Kartik Ahuja
S. Takagi
Tetsuya Motokawa
Rio Yokota
Kohta Ishikawa
I. Sato
Ioannis Mitliagkas
OOD
457
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15 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match
Neural Information Processing Systems (NeurIPS), 2022
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
298
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07 Nov 2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
Xinyu Yang
Huaxiu Yao
Allan Zhou
Chelsea Finn
236
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Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Medical Informatics Europe (MIE), 2022
Ömer Sümer
Fabio Hellmann
Alexander Hustinx
Tzung-Chien Hsieh
Elisabeth André
P. Krawitz
CVBM
317
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23 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Neural Information Processing Systems (NeurIPS), 2022
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
395
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08 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
288
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06 Oct 2022
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