Automatic Cable Detection in Sonar Imagery. - Jason C. Isaacs; Rostislav Goroshin (SMC, 2009)

Tracking cables in sonar and optical imagery. - Jason C. Isaacs; Rostislav Goroshin (AIPR, 2010)

Saturating Auto-Encoder - Rostislav Goroshin; Yann LeCun (ICLR (Poster), 2013)

Efficient object localization using Convolutional Networks. - Jonathan Tompson; Ross Goroshin; Arjun Jain; Yann LeCun; Christoph Bregler (CVPR, 2015)

Unsupervised Learning of Spatiotemporally Coherent Metrics. - Ross Goroshin; Joan Bruna; Jonathan Tompson; David Eigen; Yann LeCun (ICCV, 2015)

Learning to Linearize Under Uncertainty. - Ross Goroshin; Michaël Mathieu; Yann LeCun (NIPS, 2015)

Unsupervised Feature Learning from Temporal Data. - Ross Goroshin; Joan Bruna; Jonathan Tompson; David Eigen; Yann LeCun (ICLR (Workshop), 2015)

Stacked What-Where Auto-encoders. - Junbo Jake Zhao; Michaël Mathieu; Ross Goroshin; Yann LeCun (CoRR, 2015)

Unsupervised Feature Learning in Computer Vision. - Ross Goroshin (2015)

Learning to Navigate in Complex Environments. - Piotr Mirowski; Razvan Pascanu; Fabio Viola; Hubert Soyer; Andy Ballard; Andrea Banino; Misha Denil; Ross Goroshin; Laurent Sifre; Koray Kavukcuoglu; Dharshan Kumaran; Raia Hadsell (ICLR (Poster), 2017)

Vector-based navigation using grid-like representations in artificial agents. - Andrea Banino; Caswell Barry; Benigno Uria; Charles Blundell; Timothy P. Lillicrap; Piotr Mirowski; Alexander Pritzel; Martin J. Chadwick; Thomas Degris; Joseph Modayil; Greg Wayne; Hubert Soyer; et al. (Nat., 2018)

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. - Eleni Triantafillou; Tyler Zhu; Vincent Dumoulin; Pascal Lamblin; Kelvin Xu; Ross Goroshin; Carles Gelada; Kevin Swersky; Pierre-Antoine Manzagol; Hugo Larochelle (CoRR, 2019)

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. - Eleni Triantafillou; Tyler Zhu; Vincent Dumoulin; Pascal Lamblin; Utku Evci; Kelvin Xu; Ross Goroshin; Carles Gelada; Kevin Swersky; Pierre-Antoine Manzagol; Hugo Larochelle (ICLR, 2020)

An Analysis of Object Representations in Deep Visual Trackers. - Ross Goroshin; Jonathan Tompson; Debidatta Dwibedi (CoRR, 2020)

An Effective Anti-Aliasing Approach for Residual Networks. - Cristina Nader Vasconcelos; Hugo Larochelle; Vincent Dumoulin; Nicolas Le Roux; Ross Goroshin (CoRR, 2020)

Impact of Aliasing on Generalization in Deep Convolutional Networks. - Cristina Nader Vasconcelos; Hugo Larochelle; Vincent Dumoulin; Rob Romijnders; Nicolas Le Roux; Ross Goroshin (ICCV, 2021)

A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches. - Vincent Dumoulin; Neil Houlsby; Utku Evci; Xiaohua Zhai; Ross Goroshin; Sylvain Gelly; Hugo Larochelle (NeurIPS Datasets and Benchmarks, 2021)

Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark. - Vincent Dumoulin; Neil Houlsby; Utku Evci; Xiaohua Zhai; Ross Goroshin; Sylvain Gelly; Hugo Larochelle (CoRR, 2021)

Learned Image Compression for Machine Perception. - Felipe Codevilla; Jean-Gabriel Simard; Ross Goroshin; Chris Pal (CoRR, 2021)

Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks. - Jesse Farebrother; Joshua Greaves; Rishabh Agarwal; Charline Le Lan; Ross Goroshin; Pablo Samuel Castro; Marc G. Bellemare (ICLR, 2023)

Block-State Transformers. - Jonathan Pilault; Mahan Fathi; Orhan Firat; Chris Pal; Pierre-Luc Bacon; Ross Goroshin (NeurIPS, 2023)

Block-State Transformer. - Mahan Fathi; Jonathan Pilault; Pierre-Luc Bacon; Christopher Pal; Orhan Firat; Ross Goroshin (CoRR, 2023)

Estimating Residential Solar Potential Using Aerial Data. - Ross Goroshin; Alex Wilson; Andrew Lamb; Betty Peng; Brandon Ewonus; Cornelius Ratsch; Jordan Raisher; Marisa Leung; Max Burq; Thomas Colthurst; William Rucklidge; Carl Elkin (CoRR, 2023)

BootsTAP: Bootstrapped Training for Tracking-Any-Point. - Carl Doersch; Pauline Luc; Yi Yang 007; Dilara Gokay; Skanda Koppula; Ankush Gupta 001; Joseph Heyward; Ignacio Rocco; Ross Goroshin; João Carreira 001; Andrew Zisserman (ACCV (2), 2024)

Course Correcting Koopman Representations. - Mahan Fathi; Clement Gehring; Jonathan Pilault; David Kanaa; Pierre-Luc Bacon; Ross Goroshin (ICLR, 2024)

Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping. - Vishal Batchu; Alex Wilson; Betty Peng; Carl Elkin; Umangi Jain; Christopher Van Arsdale; Ross Goroshin; Varun Gulshan (CoRR, 2024)

TRecViT: A Recurrent Video Transformer. - Viorica Patraucean; Xu Owen He; Joseph Heyward; Chuhan Zhang; Mehdi S. M. Sajjadi; George-Cristian Muraru; Artem Zholus; Mahdi Karami; Ross Goroshin; Yutian Chen 001; Simon Osindero; João Carreira 001; et al. (CoRR, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

TAPNext: Tracking Any Point (TAP) as Next Token Prediction. - Artem Zholus; Carl Doersch; Yi Yang 007; Skanda Koppula; Viorica Patraucean; Xu Owen He; Ignacio Rocco; Mehdi S. M. Sajjadi; Sarath Chandar; Ross Goroshin (CoRR, 2025)