Russell Webb

According to our database1, Russell Webb authored at least 20 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Poly-View Contrastive Learning.
CoRR, 2024

2023
Bootstrap Your Own Variance.
CoRR, 2023

How to Scale Your EMA.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer.
CoRR, 2022

2021
Stochastic Contrastive Learning.
CoRR, 2021

Evaluating the fairness of fine-tuning strategies in self-supervised learning.
CoRR, 2021

Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
CoRR, 2021

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Improving Discrete Latent Representations With Differentiable Approximation Bridges.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Relational Mimic for Visual Adversarial Imitation Learning.
CoRR, 2019

Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions.
CoRR, 2019

Mirroring to Build Trust in Digital Assistants.
Proceedings of the Interspeech 2019, 2019

Variational Saccading: Efficient Inference for Large Resolution Images.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Variational Saccading: Efficient Inference for Large Resolution Images.
CoRR, 2018

A New Benchmark and Progress Toward Improved Weakly Supervised Learning.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Learning from Simulated and Unsupervised Images through Adversarial Training.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2010
A novel low-cost, limited-resource approach to autonomous multi-robot exploration and mapping.
Robotics Auton. Syst., 2010

2007
A Population Monte Carlo Method for Generating Random Matrices with Known Characteristics.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

A Cascade Architecture for On-line Predictive Echo State Networks.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

2002
Modeling recognition of speech sounds with minerva2.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002


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