Jason Ramapuram

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Visual Representations

Top Venues

Publications

Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge
Poly-View Contrastive Learning. ICLR (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)
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)
Jason Ramapuram, Yan Wu, Alexandros Kalousis
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. ICLR (2021)
Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb
Stochastic Contrastive Learning. CoRR (2021)
Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS (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)
Jason Ramapuram, Yan Wu, Alexandros Kalousis
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory. CoRR (2021)
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)
Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
Challenges of Adversarial Image Augmentations. CoRR (2021)
Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Lifelong generative modeling. Neurocomputing 404 (2020)
Jason Ramapuram, Russ Webb
Improving Discrete Latent Representations With Differentiable Approximation Bridges. IJCNN (2020)
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)
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 (2020)
Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis
Variational Saccading: Efficient Inference for Large Resolution Images. BMVC (2019)
Jason Ramapuram, Russ Webb
Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. CoRR (2019)
Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis
Variational Saccading: Efficient Inference for Large Resolution Images. CoRR (2018)
Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Continual Classification Learning Using Generative Models. CoRR (2018)
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
Large-Scale Nonlinear Variable Selection via Kernel Random Features. ECML/PKDD (2) (2018)
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
Large-scale Nonlinear Variable Selection via Kernel Random Features. CoRR (2018)
Jason Ramapuram, Russ Webb
A New Benchmark and Progress Toward Improved Weakly Supervised Learning. BMVC (2018)
Jason Ramapuram, Russ Webb
A New Benchmark and Progress Toward Improved Weakly Supervised Learning. CoRR (2018)
Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Lifelong Generative Modeling. CoRR (2017)