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2020 – today
- 2024
[c10]Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge:
Poly-View Contrastive Learning. ICLR 2024- [c9]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: 2051-2060 - [i20]Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan Busbridge:
Poly-View Contrastive Learning. CoRR abs/2403.05490 (2024) - [i19]Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russ Webb:
Theory, Analysis, and Best Practices for Sigmoid Self-Attention. CoRR abs/2409.04431 (2024) - 2023
- [c8]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: 29143-29160 - [c7]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: 32749-32769 - [c6]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: 40770-40803 - [c5]Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb:
How to Scale Your EMA. NeurIPS 2023 - [i18]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 abs/2303.06296 (2023) - [i17]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 abs/2306.16058 (2023) - [i16]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 abs/2307.10907 (2023) - [i15]Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau, Russ Webb:
How to Scale Your EMA. CoRR abs/2307.13813 (2023) - [i14]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 abs/2309.03964 (2023) - [i13]Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb:
Bootstrap Your Own Variance. CoRR abs/2312.03213 (2023) - 2022
- [c4]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: 26010-26027 - [i12]Claire Woodcock, Brent D. Mittelstadt, Dan Busbridge, Grant Blank:
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study. CoRR abs/2202.13444 (2022) - [i11]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 abs/2207.07611 (2022) - [i10]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 abs/2210.16365 (2022) - 2021
- [i9]Tom George Grigg, Dan Busbridge
, Jason Ramapuram, Russ Webb:
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? CoRR abs/2110.00528 (2021) - [i8]Jason Ramapuram, Dan Busbridge, Russ Webb:
Evaluating the fairness of fine-tuning strategies in self-supervised learning. CoRR abs/2110.00538 (2021) - [i7]Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb:
Stochastic Contrastive Learning. CoRR abs/2110.00552 (2021) - 2020
- [c3]Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla:
Neural Temporal Point Processes For Modelling Electronic Health Records. ML4H@NeurIPS 2020: 85-113 - [i6]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 abs/2003.12828 (2020) - [i5]Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Y. Hammerla:
Neural Temporal Point Processes For Modelling Electronic Health Records. CoRR abs/2007.13794 (2020)
2010 – 2019
- 2019
- [c2]Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Hammerla:
Correlations between Word Vector Sets. EMNLP/IJCNLP (1) 2019: 77-87 - [i4]Dan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Y. Hammerla:
Relational Graph Attention Networks. CoRR abs/1904.05811 (2019) - [i3]Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Y. Hammerla:
Correlations between Word Vector Sets. CoRR abs/1910.02902 (2019) - [i2]Joseph Enguehard, Dan Busbridge, Vitalii Zhelezniak, Nils Y. Hammerla:
Neural Language Priors. CoRR abs/1910.03492 (2019) - 2018
- [c1]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 - [i1]Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla:
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks. CoRR abs/1805.03435 (2018)
Coauthor Index
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last updated on 2024-10-10 22:16 CEST by the dblp team
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