Damien Teney

Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers CVPR 2026 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025 Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025 OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? ICML 2025 Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling ICLR 2025 A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers NAACL 2024 Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning WACV 2024 CulturePark: Boosting Cross-cultural Understanding in Large Language Models NeurIPS 2024 Neural Redshift: Random Networks are not Random Functions CVPR 2024 Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024 ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NeurIPS 2023 Active Learning by Feature Mixing CVPR 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022 Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning ECCV 2022 SelecMix: Debiased Learning by Contradicting-pair Sampling NeurIPS 2022 Vision-Language Pretraining: Current Trends and the Future ACL 2022 Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering ICCV 2021 Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models ICCV 2021 Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge EACL 2021 Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021 Counterfactual Vision and Language Learning CVPR 2020 Counterfactual Vision-and-Language Navigation: Unravelling the Unseen NeurIPS 2020 Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision ECCV 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NeurIPS 2020 V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices AAAI 2020 Actively Seeking and Learning From Live Data CVPR 2019 Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering CVPR 2018 Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge CVPR 2018 Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments CVPR 2018 Visual Question Answering as a Meta Learning Task ECCV 2018 Graph-Structured Representations for Visual Question Answering CVPR 2017 Learning Similarity Metrics for Dynamic Scene Segmentation CVPR 2015