Damien Teney

Meta-RL Induces Exploration in Language Agents

Procedural Pretraining: Warming Up Language Models with Abstract Data

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks

How does the optimizer implicitly bias the model merging loss landscape?

Leaner Transformers: More Heads, Less Depth

Rethinking OOD Detection at Scale through Ensemble Diversity

Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection

AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition

Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?

Scalable Ensemble Diversification for OOD Generalization and Detection

Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles

AugGen: Generative Synthetic Augmentation Can Boost Face Recognition

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?