v1v2v3 (latest)

Unshuffling Data for Improved Generalization

IEEE International Conference on Computer Vision (ICCV), 2020

27 February 2020

Papers citing "Unshuffling Data for Improved Generalization"

47 / 47 papers shown

Enrich and Detect: Video Temporal Grounding with Multimodal LLMs

Triantafyllos Afouras

272

19 Oct 2025

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies

363

28 May 2025

QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning

227

04 Apr 2025

FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning

440

01 Apr 2025

The Master-Slave Encoder Model for Improving Patent Text Summarization: A New Approach to Combining Specifications and Claims

321

21 Nov 2024

Mitigating Spurious Correlations via Disagreement ProbabilityNeural Information Processing Systems (NeurIPS), 2024

641

04 Nov 2024

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction

Yuyang Xue

Jingshuai Liu

Jingyu Sun

Sotirios A. Tsaftaris

240

24 May 2024

Multimodality Invariant Learning for Multimedia-Based New Item Recommendation

Richang Hong

Meng Wang

336

28 Apr 2024

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering

Pinghui Wang

Lingyun Song

665

18 Apr 2024

BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal ModelsEuropean Conference on Computer Vision (ECCV), 2023

367

05 Dec 2023

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelInternational Conference on Learning Representations (ICLR), 2023

Almut Sophia Koepke

362

26 Oct 2023

Grounded Image Text Matching with Mismatched Relation ReasoningIEEE International Conference on Computer Vision (ICCV), 2023

335

02 Aug 2023

SYNAuG: Exploiting Synthetic Data for Data Imbalance ProblemsPattern Recognition Letters (PR), 2023

457

02 Aug 2023

Making the V in Text-VQA Matter

257

01 Aug 2023

Robust Visual Question Answering: Datasets, Methods, and Future ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

Pinghui Wang

Jun Liu

409

21 Jul 2023

Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature

Ana Claudia Akemi Matsuki de Faria

Felype de Castro Bastos

Jose Victor Nogueira Alves da Silva

Vitor Lopes Fabris

Valeska Uchôa

Décio Gonccalves de Aguiar Neto

C. F. G. Santos

392

18 May 2023

An Empirical Study on the Language Modal in Visual Question AnsweringInternational Joint Conference on Artificial Intelligence (IJCAI), 2023

289

17 May 2023

Discover and Cure: Concept-aware Mitigation of Spurious CorrelationInternational Conference on Machine Learning (ICML), 2023

Shirley Wu

Mert Yuksekgonul

Linjun Zhang

James Zou

393

01 May 2023

Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play

J. Liu

Krishnamurthy Dvijotham

Jihyeon Janel Lee

Quan Yuan

Martin Strobel

Balaji Lakshminarayanan

Deepak Ramachandran

259

11 Feb 2023

When Does Group Invariant Learning Survive Spurious Correlations?Neural Information Processing Systems (NeurIPS), 2022

343

29 Jun 2022

EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering

296

29 Jun 2022

Learning Debiased Classifier with Biased CommitteeNeural Information Processing Systems (NeurIPS), 2022

572

22 Jun 2022

Guiding Visual Question Answering with Attention PriorsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022

285

25 May 2022

Last Layer Re-Training is Sufficient for Robustness to Spurious CorrelationsInternational Conference on Learning Representations (ICLR), 2022

563

441

06 Apr 2022

OccamNets: Mitigating Dataset Bias by Favoring Simpler HypothesesEuropean Conference on Computer Vision (ECCV), 2022

454

05 Apr 2022

On Modality Bias Recognition and Reduction

324

25 Feb 2022

Language bias in Visual Question Answering: A Survey and Taxonomy

Desen Yuan

262

16 Nov 2021

Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits

Julia Kreutzer

David Vilar

Artem Sokolov

254

13 Oct 2021

Coarse-to-Fine Reasoning for Visual Question Answering

383

06 Oct 2021

Causal Attention for Unbiased Visual Recognition

Hanwang Zhang

326

160

19 Aug 2021

X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question AnsweringACM Multimedia (ACM MM), 2021

293

24 Jul 2021

On Invariance Penalties for Risk Minimization

215

17 Jun 2021

Supervising the Transfer of Reasoning Patterns in VQANeural Information Processing Systems (NeurIPS), 2021

236

10 Jun 2021

Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question AnsweringIEEE International Conference on Computer Vision (ICCV), 2021

372

07 Apr 2021

Does Invariant Risk Minimization Capture Invariance?International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

761

145

04 Jan 2021

A Closer Look at the Robustness of Vision-and-Language Pre-trained Models

344

15 Dec 2020

WeaQA: Weak Supervision via Captions for Visual Question AnsweringFindings (Findings), 2020

Pratyay Banerjee

Tejas Gokhale

Yezhou Yang

Chitta Baral

428

04 Dec 2020

Empirical or Invariant Risk Minimization? A Sample Complexity PerspectiveInternational Conference on Learning Representations (ICLR), 2020

Kartik Ahuja

Jun Wang

Amit Dhurandhar

Karthikeyan Shanmugam

Kush R. Varshney

OOD

325

30 Oct 2020

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2020

Yezhou Yang

341

157

18 Sep 2020

Robust Classification under Class-Dependent Domain Shift

191

10 Jul 2020

In Search of Lost Domain Generalization

Ishaan Gulrajani

David Lopez-Paz

OOD

573

1,385

02 Jul 2020

Counterfactual VQA: A Cause-Effect Look at Language Bias

637

499

08 Jun 2020

Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement LearningConference on Learning for Dynamics & Control (L4DC), 2020

Anoopkumar Sonar

Vincent Pacelli

Anirudha Majumdar

413

01 Jun 2020

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law

271

155

19 May 2020

Learning What Makes a Difference from Counterfactual Examples and Gradient SupervisionEuropean Conference on Computer Vision (ECCV), 2020

264

125

20 Apr 2020

An Empirical Study of Invariant Risk Minimization

190

10 Apr 2020

Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Langauge Reasoning

Qi Wu

251

16 Dec 2018