Jason Ramapuram

Dan Busbridge

CoRR, 2024

2023

Bootstrap Your Own Variance.

[BibT_eX]

[DOI]

CoRR, 2023

How to Scale Your EMA.

[BibT_eX]

[DOI]

Xavier Suau Cuadros

Russell Webb

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stabilizing Transformer Training by Preventing Attention Entropy Collapse.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

DUET: 2D Structured and Approximately Equivariant Representations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning.

[BibT_eX]

[DOI]

Borja Rodríguez Gálvez

Proceedings of the International Conference on Machine Learning, 2023

2022

Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer.

[BibT_eX]

[DOI]

Andrius Ovsianas

Dan Busbridge

CoRR, 2022

Position Prediction as an Effective Pretraining Strategy.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data.

[BibT_eX]

[DOI]

PhD thesis, 2021

Stochastic Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Evaluating the fairness of fine-tuning strategies in self-supervised learning.

[BibT_eX]

[DOI]

Dan Busbridge

CoRR, 2021

Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?

[BibT_eX]

[DOI]

CoRR, 2021

Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory.

[BibT_eX]

[DOI]

Yan Wu

Alexandros Kalousis

Proceedings of the 9th International Conference on Learning Representations, 2021

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding.

[BibT_eX]

[DOI]

Miguel Ángel Bautista

Nathan Paczan

Joshua M. Susskind

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Challenges of Adversarial Image Augmentations.

[BibT_eX]

[DOI]

Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 2021

2020

Lifelong generative modeling.

[BibT_eX]

[DOI]

Magda Gregorova

Alexandros Kalousis

Neurocomputing, 2020

Self-Supervised MultiModal Versatile Networks.

[BibT_eX]

[DOI]

Jean-Baptiste Alayrac

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Discrete Latent Representations With Differentiable Approximation Bridges.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Saccading: Efficient Inference for Large Resolution Images.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Variational Saccading: Efficient Inference for Large Resolution Images.

[BibT_eX]

[DOI]

CoRR, 2018

Continual Classification Learning Using Generative Models.

[BibT_eX]

[DOI]

CoRR, 2018

Large-Scale Nonlinear Variable Selection via Kernel Random Features.

[BibT_eX]

[DOI]

Magda Gregorová

Stéphane Marchand-Maillet

Alexandros Kalousis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A New Benchmark and Progress Toward Improved Weakly Supervised Learning.

[BibT_eX]

[DOI]