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Conferences
Damien Teney
10 papers at tracked venues · 9 at CORE A* · active 2024–2025
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Venues
NeurIPS
×3
CVPR
×2
ICML
×2
AAAI
×1
ICLR
×1
NAACL
×1
Frequent coauthors
Parsa Rahimi
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Bao Gia Doan
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Ignacio Meza De La Jara
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Liangze Jiang
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Cristian Rodriguez Opazo
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Jordan Meadows
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Cheng Li
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Papers
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
NeurIPS 2025
·
Parsa Rahimi
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Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
AAAI 2025
·
Bao Gia Doan
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Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
CVPR 2025
·
Damien Teney
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
NeurIPS 2025
·
Ignacio Meza De La Jara
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OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
ICML 2025
·
Liangze Jiang
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Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
ICLR 2025
·
Cristian Rodriguez Opazo
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A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers
NAACL 2024
·
Jordan Meadows
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CulturePark: Boosting Cross-cultural Understanding in Large Language Models
NeurIPS 2024
·
Cheng Li
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Neural Redshift: Random Networks are not Random Functions
CVPR 2024
·
Damien Teney
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
ICML 2024
·
Damien Teney