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Jason Ramapuram
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Books and Theses
- 2021
- [b1]Jason Ramapuram:
Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data. University of Geneva, Switzerland, 2021
Journal Articles
- 2020
- [j1]Jason Ramapuram
, Magda Gregorova
, Alexandros Kalousis
:
Lifelong generative modeling. Neurocomputing 404: 381-400 (2020)
Conference and Workshop Papers
- 2024
- [c14]Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge:
Poly-View Contrastive Learning. ICLR 2024 - 2023
- [c13]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 - [c12]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 - [c11]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 - [c10]Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb:
How to Scale Your EMA. NeurIPS 2023 - 2022
- [c9]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 - 2021
- [c8]Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella:
Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS 2021: 9-14 - [c7]Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Ángel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind:
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. ICCV 2021: 10892-10902 - [c6]Jason Ramapuram, Yan Wu, Alexandros Kalousis
:
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. ICLR 2021 - 2020
- [c5]Jason Ramapuram, Russ Webb:
Improving Discrete Latent Representations With Differentiable Approximation Bridges. IJCNN 2020: 1-10 - [c4]Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman:
Self-Supervised MultiModal Versatile Networks. NeurIPS 2020 - 2019
- [c3]Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis
:
Variational Saccading: Efficient Inference for Large Resolution Images. BMVC 2019: 119 - 2018
- [c2]Jason Ramapuram, Russ Webb:
A New Benchmark and Progress Toward Improved Weakly Supervised Learning. BMVC 2018: 265 - [c1]Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
:
Large-Scale Nonlinear Variable Selection via Kernel Random Features. ECML/PKDD (2) 2018: 177-192
Informal and Other Publications
- 2024
- [i20]Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan Busbridge:
Poly-View Contrastive Learning. CoRR abs/2403.05490 (2024) - 2023
- [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb:
Bootstrap Your Own Variance. CoRR abs/2312.03213 (2023) - 2022
- [i14]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) - [i13]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
- [i12]Jason Ramapuram, Yan Wu, Alexandros Kalousis:
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory. CoRR abs/2103.03905 (2021) - [i11]Tom George Grigg, Dan Busbridge
, Jason Ramapuram, Russ Webb:
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? CoRR abs/2110.00528 (2021) - [i10]Jason Ramapuram, Dan Busbridge
, Russ Webb:
Evaluating the fairness of fine-tuning strategies in self-supervised learning. CoRR abs/2110.00538 (2021) - [i9]Jason Ramapuram, Dan Busbridge
, Xavier Suau, Russ Webb:
Stochastic Contrastive Learning. CoRR abs/2110.00552 (2021) - [i8]Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella:
Challenges of Adversarial Image Augmentations. CoRR abs/2111.12427 (2021) - 2020
- [i7]Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman:
Self-Supervised MultiModal Versatile Networks. CoRR abs/2006.16228 (2020) - 2019
- [i6]Jason Ramapuram, Russ Webb:
Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. CoRR abs/1905.03658 (2019) - 2018
- [i5]Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet:
Large-scale Nonlinear Variable Selection via Kernel Random Features. CoRR abs/1804.07169 (2018) - [i4]Jason Ramapuram, Russ Webb:
A New Benchmark and Progress Toward Improved Weakly Supervised Learning. CoRR abs/1807.00126 (2018) - [i3]Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis:
Continual Classification Learning Using Generative Models. CoRR abs/1810.10612 (2018) - [i2]Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis:
Variational Saccading: Efficient Inference for Large Resolution Images. CoRR abs/1812.03170 (2018) - 2017
- [i1]Jason Ramapuram, Magda Gregorova, Alexandros Kalousis:
Lifelong Generative Modeling. CoRR abs/1705.09847 (2017)
Coauthor Index
aka: Russ Webb
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