Teney, Damien

30 publications

NeurIPS 2025 AugGen: Synthetic Augmentation Using Diffusion Models Can Improve Recognition Parsa Rahimi, Damien Teney, Sébastien Marcel

AAAI 2025 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad

CVPR 2025 Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad

ICLRW 2025 Fine-Tuning Pretrained Models with NVIB for Improved Generalisation Fabio James Fehr, Alina Elena Baia, Xiaoguang Chang, Andrei Catalin Coman, Karl El Hajal, Dina El Zein, Shashi Kumar, Juan Pablo Zuluaga Gomez, Andrea Cavallaro, Damien Teney, James Henderson

ICLRW 2025 Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Yoshua Bengio

NeurIPS 2025 Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection Imezadelajara, Cristian Rodriguez-Opazo, Damien Teney, Damith Ranasinghe, Ehsan Abbasnejad

ICML 2025 OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang, Damien Teney

ICLR 2025 Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton van den Hengel

WACV 2024 Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould

TMLR 2024 Candidate Set Re-Ranking for Composed Image Retrieval with Dual Multi-Modal Encoder Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould

NeurIPS 2024 CulturePark: Boosting Cross-Cultural Understanding in Large Language Models Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang

CVPR 2024 Neural Redshift: Random Networks Are Not Random Functions Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad

ICML 2024 Selective Mixup Helps with Distribution Shifts, but Not (Only) Because of Mixup Damien Teney, Jindong Wang, Ehsan Abbasnejad

NeurIPSW 2024 ZOOPFL: Exploring Black-Box Foundation Models for Personalized Federated Learning Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji

NeurIPS 2023 ID and OOD Performance Are Sometimes Inversely Correlated on Real-World Datasets Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad

CVPR 2022 Active Learning by Feature Mixing Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Gholamreza Haffari, Anton van den Hengel, Javen Qinfeng Shi

CVPR 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel

ECCV 2022 Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney, Maxime Peyrard, Ehsan Abbasnejad

NeurIPS 2022 SelecMix: Debiased Learning by Contradicting-Pair Sampling Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang

ICMLW 2022 SelecMix: Debiased Learning by Mixing up Contradicting Pairs Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang

ICCV 2021 Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord

ICCV 2021 Image Retrieval on Real-Life Images with Pre-Trained Vision-and-Language Models Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, Stephen Gould

ICCV 2021 Unshuffling Data for Improved Generalization in Visual Question Answering Damien Teney, Ehsan Abbasnejad, Anton van den Hengel

NeurIPS 2020 Counterfactual Vision-and-Language Navigation: Unravelling the Unseen Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Anton van den Hengel

ECCV 2020 Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision Damien Teney, Ehsan Abbasnedjad, Anton van den Hengel

NeurIPS 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel

AAAI 2020 V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

ECCV 2018 Visual Question Answering as a Meta Learning Task Damien Teney, Anton van den Hengel

CVPR 2017 Graph-Structured Representations for Visual Question Answering Damien Teney, Lingqiao Liu, Anton van den Hengel

CVPR 2015 Learning Similarity Metrics for Dynamic Scene Segmentation Damien Teney, Matthew Brown, Dmitry Kit, Peter Hall