Ross Goroshin

Affiliations:

New York University, Courant Institute
Naval Surface Warfare Center, Panama City, USA

According to our database¹, Ross Goroshin authored at least 25 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

BootsTAP: Bootstrapped Training for Tracking-Any-Point.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Course Correcting Koopman Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Estimating Residential Solar Potential Using Aerial Data.

[BibT_eX]

[DOI]

CoRR, 2023

Block-State Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

Block-State Transformers.

[BibT_eX]

[DOI]

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

Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Learned Image Compression for Machine Perception.

[BibT_eX]

[DOI]

CoRR, 2021

Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.

[BibT_eX]

[DOI]

CoRR, 2021

A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Impact of Aliasing on Generalization in Deep Convolutional Networks.

[BibT_eX]

[DOI]

Cristina Nader Vasconcelos

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

2020

An Effective Anti-Aliasing Approach for Residual Networks.

[BibT_eX]

[DOI]

Cristina Nader Vasconcelos

CoRR, 2020

An Analysis of Object Representations in Deep Visual Trackers.

[BibT_eX]

[DOI]

Ross Goroshin

Jonathan Tompson

Debidatta Dwibedi

CoRR, 2020

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.

[BibT_eX]

[DOI]

Pierre-Antoine Manzagol

Hugo Larochelle

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.

[BibT_eX]

[DOI]

Pierre-Antoine Manzagol

Hugo Larochelle

CoRR, 2019

2018

Vector-based navigation using grid-like representations in artificial agents.

[BibT_eX]

[DOI]

Nat., 2018

2017

Learning to Navigate in Complex Environments.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2015

Unsupervised Feature Learning in Computer Vision.

[BibT_eX]

[DOI]

Ross Goroshin

PhD thesis, 2015

Stacked What-Where Auto-encoders.

[BibT_eX]

[DOI]

CoRR, 2015

Unsupervised Feature Learning from Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning to Linearize Under Uncertainty.

[BibT_eX]

[DOI]

Ross Goroshin

Michaël Mathieu

Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Unsupervised Learning of Spatiotemporally Coherent Metrics.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient object localization using Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

Saturating Auto-Encoder

[BibT_eX]

[DOI]

Rostislav Goroshin

Yann LeCun

Proceedings of the 1st International Conference on Learning Representations, 2013

2010

Tracking cables in sonar and optical imagery.

[BibT_eX]

[DOI]

Jason C. Isaacs

Rostislav Goroshin

Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

2009

Automatic Cable Detection in Sonar Imagery.

[BibT_eX]

[DOI]

Jason C. Isaacs

Rostislav Goroshin

Proceedings of the IEEE International Conference on Systems, 2009

Ross Goroshin

Timeline

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Online presence:

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Bibliography

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