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Jason Ramapuram
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Self-supervised multimodal versatile networks
JB Alayrac, A Recasens, R Schneider, R Arandjelović, J Ramapuram, ...
Advances in Neural Information Processing Systems 33, 25-37, 2020
2222020
Lifelong generative modeling
J Ramapuram, M Gregorova, A Kalousis
Journal of Neurocomputing, 2020, 2017
742017
Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding
M Roberts, J Ramapuram, A Ranjan, A Kumar, MA Bautista, N Paczan, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
682021
Continual Classification Learning Using Generative Models
F Lavda, J Ramapuram, M Gregorova, A Kalousis
Continual Learning Workshop NIPS 2018, 2018
312018
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
TG Grigg, D Busbridge, J Ramapuram, R Webb
2nd Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2021), 2021
82021
Variational Saccading: Efficient Inference for Large Resolution Images
J Ramapuram, M Diephuis, R Webb, A Kalousis
2019 British Machine Vision Conference; 2018 Bayesian Deep Learning Workshop …, 2018
62018
Position prediction as an effective pretraining strategy
S Zhai, N Jaitly, J Ramapuram, D Busbridge, T Likhomanenko, JY Cheng, ...
ICML 2022, 2022
42022
Challenges of Adversarial Image Augmentations
A Blaas, X Suau, J Ramapuram, N Apostoloff, L Zappella
I Can’t Believe It’s Not Better Workshop (NeurIPS 2021), 2021
32021
Stochastic Contrastive Learning
J Ramapuram, D Busbridge, X Suau, R Webb
2nd Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2021), 2021
32021
A New Benchmark and Progress Toward Improved Weakly Supervised Learning
J Ramapuram, R Webb
British Machine Vision Conference 2018, 2018
32018
Evaluating the fairness of fine-tuning strategies in self-supervised learning
J Ramapuram, D Busbridge, R Webb
BayLearn 2021, 2021
22021
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory
J Ramapuram, Y Wu, A Kalousis
ICLR 2021, 2021
22021
Improving discrete latent representations with differentiable approximation bridges
J Ramapuram, R Webb
2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020
22020
Large-scale Nonlinear Variable Selection via Kernel Random Features
M Gregorová, J Ramapuram, A Kalousis, S Marchand-Maillet
ECML PKDD 2018, 2018
22018
Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions.
J Ramapuram, R Webb
arXiv preprint arXiv:1905.03658, 2019
12019
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer
A Ovsianas, J Ramapuram, D Busbridge, EG Dhekane, R Webb
NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice, 2022
2022
Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data
JE Ramapuram
University of Geneva, 2021
2021
Neural network architecture
RY Webb, J Ramapuram
US Patent 10,853,691, 2020
2020
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