Damien Teney
- Vision-and-Language Navigation: Interpreting visually-grounded\n navigation instructions in real environments
2017/11/20 by Peter J. Anderson, Qi Wu, Anderson, Peter +15 · 127 citations
Computer Science · #Multimodal Machine Learning Applications #Speech and dialogue systems #Domain Adaptation and Few-Shot Learning
- Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
2021/08/09 by Zheyuan Liu, Liu, Zheyuan, Cristian Rodríguez-Opazo +5 · 36 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications
- Neural Redshift: Random Networks are not Random Functions
2024/03/04 by Damien Teney, Armand Nicolicioiu, Valentin Hartmann +1 · 3 voices · 10 citations
#cs.LG #cs.AI #cs.CV
- Visual Question Answering: A Survey of Methods and Datasets
2016/07/20 by Qi Wu, Wu, Qi, Damien Teney +9 · 14 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
2021/05/12 by Damien Teney, Ehsan Abbasnejad, Teney, Damien +5 · 7 citations
Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
2022/09/01 by Damien Teney, Teney, Damien, Seung‐June Oh +4 · 8 citations
Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Data Stream Mining Techniques
- Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
2023/05/25 by Zheyuan Liu, Liu, Zheyuan, Weixuan Sun +5 · 6 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in\n Visual Question Answering
2021/04/07 by Corentin Dancette, Dancette, Corentin, Rémi Cadène +5 · 4 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- SelecMix: Debiased Learning by Contradicting-pair Sampling
2022/11/04 by Inwoo Hwang, Sang-Jun Lee, Hwang, Inwoo +11 · 5 citations
Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Active Learning by Feature Mixing
2022/03/14 by Amin Parvaneh, Ehsan Abbasnejad, Parvaneh, Amin +9 · 3 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Oil and Gas Production Techniques
- V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive\n Matrices
2019/07/29 by Damien Teney, Teney, Damien, Peng Wang +9 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications
- Learning What Makes a Difference from Counterfactual Examples and\n Gradient Supervision
2020/04/19 by Damien Teney, Teney, Damien, Ehsan Abbasnedjad +3 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
2022/07/06 by Damien Teney, Teney, Damien, Maxime Peyrard +3 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- CulturePark: Boosting Cross-cultural Understanding in Large Language Models
2024/05/24 by Cheng Li, Li, Cheng, Damien Teney +9 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Natural Language Processing Techniques
- Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers
2025/11/17 by Zachary Shinnick, Shinnick, Zachary, Liangze Jiang +7 · 2 voices · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge
2021/01/15 by Violetta Shevchenko, Damien Teney, Shevchenko, Violetta +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
2025/03/13 by Damien Teney, Teney, Damien, Liangze Jiang +5 · 1 voice · 2 citations
Decision Sciences · Economics, Econometrics and Finance · #Economic Policies and Impacts #Economic Theory and Institutions #Leadership, Behavior, and Decision-Making Studies #cs.CV #cs.LG
- Leaner Transformers: More Heads, Less Depth
2025/05/27 by Hemanth Saratchandran, Damien Teney, Saratchandran, Hemanth +3 · 2 voices · 3 citations
Engineering · #Manufacturing Process and Optimization #cs.CV #cs.LG
- ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning
2023/10/08 by Lu Wang, Lu, Wang, Hao Yu +15 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning
2025/05/28 by Zachary Shinnick, Liangze Jiang, Shinnick, Zachary +7 · 3 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks
2023/10/03 by Luca Scimeca, Scimeca, Luca, Alexander Rubinstein +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing
- Scalable Ensemble Diversification for OOD Generalization and Detection
2024/09/25 by Alexander Rubinstein, Rubinstein, Alexander, Luca Scimeca +5 · 1 voice · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CV #cs.LG
- Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks
2026/07/20 by Damien Teney, Liangze Jiang, Hemanth Saratchandran +1
#cs.LG