A New Benchmark and Progress Toward Improved Weakly Supervised Learning. - Jason Ramapuram; Russ Webb (BMVC, 2018)

Large-Scale Nonlinear Variable Selection via Kernel Random Features. - Magda Gregorová; Jason Ramapuram; Alexandros Kalousis; Stéphane Marchand-Maillet (ECML/PKDD (2), 2018)

Continual Classification Learning Using Generative Models. - Frantzeska Lavda; Jason Ramapuram; Magda Gregorova; Alexandros Kalousis (CoRR, 2018)

Variational Saccading: Efficient Inference for Large Resolution Images. - Jason Ramapuram; Maurits Diephuis; Russ Webb; Alexandros Kalousis (CoRR, 2018)

Variational Saccading: Efficient Inference for Large Resolution Images. - Jason Ramapuram; Maurits Diephuis; Frantzeska Lavda; Russ Webb; Alexandros Kalousis (BMVC, 2019)

Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. - Jason Ramapuram; Russ Webb (CoRR, 2019)

Improving Discrete Latent Representations With Differentiable Approximation Bridges. - Jason Ramapuram; Russ Webb (IJCNN, 2020)

Self-Supervised MultiModal Versatile Networks. - Jean-Baptiste Alayrac; Adrià Recasens; Rosalia Schneider; Relja Arandjelovic; Jason Ramapuram; Jeffrey De Fauw; Lucas Smaira; Sander Dieleman; Andrew Zisserman (NeurIPS, 2020)

Lifelong generative modeling. - Jason Ramapuram; Magda Gregorova; Alexandros Kalousis (Neurocomputing, 2020)

Challenges of Adversarial Image Augmentations. - Arno Blaas; Xavier Suau; Jason Ramapuram; Nicholas Apostoloff; Luca Zappella (ICBINB@NeurIPS, 2021)

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. - Mike Roberts 001; Jason Ramapuram; Anurag Ranjan; Atulit Kumar; Miguel Ángel Bautista 001; Nathan Paczan; Russ Webb; Joshua M. Susskind (ICCV, 2021)

Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. - Jason Ramapuram; Yan Wu; Alexandros Kalousis (ICLR, 2021)

Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? - Tom George Grigg; Dan Busbridge; Jason Ramapuram; Russ Webb (CoRR, 2021)

Evaluating the fairness of fine-tuning strategies in self-supervised learning. - Jason Ramapuram; Dan Busbridge; Russ Webb (CoRR, 2021)

Stochastic Contrastive Learning. - Jason Ramapuram; Dan Busbridge; Xavier Suau; Russ Webb (CoRR, 2021)

Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data. - Jason Ramapuram (2021)

Position Prediction as an Effective Pretraining Strategy. - Shuangfei Zhai; Navdeep Jaitly; Jason Ramapuram; Dan Busbridge; Tatiana Likhomanenko; Joseph Y. Cheng; Walter Talbott; Chen Huang 001; Hanlin Goh; Joshua M. Susskind (ICML, 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 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 (ICML, 2023)

DUET: 2D Structured and Approximately Equivariant Representations. - Xavier Suau; Federico Danieli; T. Anderson Keller; Arno Blaas; Chen Huang 001; Jason Ramapuram; Dan Busbridge; Luca Zappella (ICML, 2023)

Stabilizing Transformer Training by Preventing Attention Entropy Collapse. - Shuangfei Zhai; Tatiana Likhomanenko; Etai Littwin; Dan Busbridge; Jason Ramapuram; Yizhe Zhang 002; Jiatao Gu; Joshua M. Susskind (ICML, 2023)

How to Scale Your EMA. - Dan Busbridge; Jason Ramapuram; Pierre Ablin; Tatiana Likhomanenko; Eeshan Gunesh Dhekane; Xavier Suau Cuadros; Russell Webb (NeurIPS, 2023)

Bootstrap Your Own Variance. - Polina Turishcheva; Jason Ramapuram; Sinead Williamson; Dan Busbridge; Eeshan Gunesh Dhekane; Russ Webb (CoRR, 2023)

Poly-View Contrastive Learning. - Amitis Shidani; R. Devon Hjelm; Jason Ramapuram; Russell Webb; Eeshan Gunesh Dhekane; Dan Busbridge (ICLR, 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; Russell Webb (ICLR, 2025)

Distillation Scaling Laws. - Dan Busbridge; Amitis Shidani; Floris Weers; Jason Ramapuram; Etai Littwin; Russ Webb (CoRR, 2025)