Dan Busbridge

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Relational Graph

Visual Representation

Finding Optimal

Top Venues

Publications

Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge
Poly-View Contrastive Learning. ICLR (2024)
Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. WACV (2024)
Amitis Shidani, Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan Busbridge
Poly-View Contrastive Learning. CoRR (2024)
Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML (2023)
Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. CoRR (2023)
Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR (2023)
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
DUET: 2D Structured and Approximately Equivariant Representations. ICML (2023)
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. CoRR (2023)
Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
Bootstrap Your Own Variance. CoRR (2023)
Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau, Russ Webb
How to Scale Your EMA. CoRR (2023)
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
DUET: 2D Structured and Approximately Equivariant Representations. CoRR (2023)
Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb
How to Scale Your EMA. NeurIPS (2023)
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. ICML (2023)
Andrius Ovsianas, Jason Ramapuram, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer. CoRR (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. ICML (2022)
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
Position Prediction as an Effective Pretraining Strategy. CoRR (2022)
Claire Woodcock, Brent Mittelstadt, Dan Busbridge, Grant Blank
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study. CoRR (2022)
Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb
Stochastic Contrastive Learning. CoRR (2021)
Jason Ramapuram, Dan Busbridge, Russ Webb
Evaluating the fairness of fine-tuning strategies in self-supervised learning. CoRR (2021)
Tom George Grigg, Dan Busbridge, Jason Ramapuram, Russ Webb
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? CoRR (2021)
Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Y. Hammerla
Neural Temporal Point Processes For Modelling Electronic Health Records. CoRR (2020)
Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla
Neural Temporal Point Processes For Modelling Electronic Health Records. ML4H@NeurIPS (2020)
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
Learning medical triage from clinicians using Deep Q-Learning. CoRR (2020)
Dan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Y. Hammerla
Relational Graph Attention Networks. CoRR (2019)
Joseph Enguehard, Dan Busbridge, Vitalii Zhelezniak, Nils Y. Hammerla
Neural Language Priors. CoRR (2019)
Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks. ICLR (Workshop) (2018)
Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks. CoRR (2018)