Dan Busbridge

According to our database, Dan Busbridge authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Russ Webb

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Poly-View Contrastive Learning.

Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bootstrap Your Own Variance.

Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb

CoRR, 2023

How to Scale Your EMA.

Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stabilizing Transformer Training by Preventing Attention Entropy Collapse.

Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 2023

DUET: 2D Structured and Approximately Equivariant Representations.

Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

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 Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study.

Claire Woodcock, Brent D. Mittelstadt, Dan Busbridge, Grant Blank

CoRR, 2022

Position Prediction as an Effective Pretraining Strategy.

Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 2022

2021

Stochastic Contrastive Learning.

Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb

CoRR, 2021

Evaluating the fairness of fine-tuning strategies in self-supervised learning.

Jason Ramapuram, Dan Busbridge, Russ Webb

CoRR, 2021

Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?

Tom George Grigg, Dan Busbridge, Jason Ramapuram, Russ Webb

CoRR, 2021

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, Saurabh Johri

CoRR, 2020

Neural Temporal Point Processes For Modelling Electronic Health Records.

Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla

Proceedings of the Machine Learning for Health Workshop, 2020

2019

Neural Language Priors.

Joseph Enguehard, Dan Busbridge, Vitalii Zhelezniak, Nils Y. Hammerla

CoRR, 2019

Relational Graph Attention Networks.

Dan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Y. Hammerla

CoRR, 2019

Correlations between Word Vector Sets.

Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Hammerla

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks.

Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla

Proceedings of the 6th International Conference on Learning Representations, 2018