Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks. - Vitalii Zhelezniak; Dan Busbridge; April Shen; Samuel L. Smith; Nils Y. Hammerla (ICLR (Workshop), 2018)

Correlations between Word Vector Sets. - Vitalii Zhelezniak; April Shen; Daniel Busbridge; Aleksandar Savkov; Nils Hammerla (EMNLP/IJCNLP (1), 2019)

Relational Graph Attention Networks. - Dan Busbridge; Dane Sherburn; Pietro Cavallo; Nils Y. Hammerla (CoRR, 2019)

Neural Language Priors. - Joseph Enguehard; Dan Busbridge; Vitalii Zhelezniak; Nils Y. Hammerla (CoRR, 2019)

Neural Temporal Point Processes For Modelling Electronic Health Records. - Joseph Enguehard; Dan Busbridge; Adam Bozson; Claire Woodcock; Nils Hammerla (ML4H@NeurIPS, 2020)

Learning medical triage from clinicians using Deep Q-Learning. - Albert Buchard; Baptiste Bouvier; Giulia Prando; Rory Beard; Michail Livieratos; Dan Busbridge; Daniel H. Thompson; Jonathan G. Richens; Yuanzhao Zhang; Adam Baker; Yura Perov; Kostis Gourgoulias; et al. (CoRR, 2020)

Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? - Tom George Grigg; Dan Busbridge; Jason Ramapuram; Russ Webb (CoRR, 2021)

Evaluating the fairness of fine-tuning strategies in self-supervised learning. - Jason Ramapuram; Dan Busbridge; Russ Webb (CoRR, 2021)

Stochastic Contrastive Learning. - Jason Ramapuram; Dan Busbridge; Xavier Suau; Russ Webb (CoRR, 2021)

Position Prediction as an Effective Pretraining Strategy. - Shuangfei Zhai; Navdeep Jaitly; Jason Ramapuram; Dan Busbridge; Tatiana Likhomanenko; Joseph Y. Cheng; Walter Talbott; Chen Huang 001; Hanlin Goh; Joshua M. Susskind (ICML, 2022)

The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study. - Claire Woodcock; Brent D. Mittelstadt 002; Dan Busbridge; Grant Blank (CoRR, 2022)

Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer. - Andrius Ovsianas; Jason Ramapuram; Dan Busbridge; Eeshan Gunesh Dhekane; Russ Webb (CoRR, 2022)

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. - Borja Rodríguez Gálvez; Arno Blaas; Pau Rodríguez; Adam Golinski; Xavier Suau; Jason Ramapuram; Dan Busbridge; Luca Zappella (ICML, 2023)

DUET: 2D Structured and Approximately Equivariant Representations. - Xavier Suau; Federico Danieli; T. Anderson Keller; Arno Blaas; Chen Huang 001; Jason Ramapuram; Dan Busbridge; Luca Zappella (ICML, 2023)

Stabilizing Transformer Training by Preventing Attention Entropy Collapse. - Shuangfei Zhai; Tatiana Likhomanenko; Etai Littwin; Dan Busbridge; Jason Ramapuram; Yizhe Zhang 002; Jiatao Gu; Joshua M. Susskind (ICML, 2023)

How to Scale Your EMA. - Dan Busbridge; Jason Ramapuram; Pierre Ablin; Tatiana Likhomanenko; Eeshan Gunesh Dhekane; Xavier Suau Cuadros; Russell Webb (NeurIPS, 2023)

Bootstrap Your Own Variance. - Polina Turishcheva; Jason Ramapuram; Sinead Williamson; Dan Busbridge; Eeshan Gunesh Dhekane; Russ Webb (CoRR, 2023)

Poly-View Contrastive Learning. - Amitis Shidani; R. Devon Hjelm; Jason Ramapuram; Russell Webb; Eeshan Gunesh Dhekane; Dan Busbridge (ICLR, 2024)

REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. - Skyler Seto; Barry-John Theobald; Federico Danieli; Navdeep Jaitly; Dan Busbridge (WACV, 2024)

Theory, Analysis, and Best Practices for Sigmoid Self-Attention. - Jason Ramapuram; Federico Danieli; Eeshan Gunesh Dhekane; Floris Weers; Dan Busbridge; Pierre Ablin; Tatiana Likhomanenko; Jagrit Digani; Zijin Gu; Amitis Shidani; Russell Webb (ICLR, 2025)

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. - Samira Abnar; Harshay Shah; Dan Busbridge; Alaaeldin Mohamed Elnouby Ali; Joshua M. Susskind; Vimal Thilak (CoRR, 2025)

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection. - Louis Béthune; David Grangier; Dan Busbridge; Eleonora Gualdoni; Marco Cuturi; Pierre Ablin (CoRR, 2025)

Distillation Scaling Laws. - Dan Busbridge; Amitis Shidani; Floris Weers; Jason Ramapuram; Etai Littwin; Russ Webb (CoRR, 2025)

How PARTs assemble into wholes: Learning the relative composition of images. - Melika Ayoughi; Samira Abnar; Chen Huang 001; Christopher Michael Sandino; Sayeri Lala; Eeshan Gunesh Dhekane; Dan Busbridge; Shuangfei Zhai; Vimal Thilak; Joshua M. Susskind; Pascal Mettes; Paul Groth; et al. (CoRR, 2025)

Scaling Laws for Optimal Data Mixtures. - Mustafa Shukor; Louis Béthune; Dan Busbridge; David Grangier; Enrico Fini; Alaaeldin El-Nouby; Pierre Ablin (CoRR, 2025)