Ross Goroshin

35 papers A* 7Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
TRecViT: A Recurrent Video Transformer.
Trans. Mach. Learn. Res.
Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2025 J jnl
TAPNext: Tracking Any Point (TAP) as Next Token Prediction.
CoRR
Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin
2024 — conf
BootsTAP: Bootstrapped Training for Tracking-Any-Point.
ACCV (2)
Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman
2024 J jnl
BootsTAP: Bootstrapped Training for Tracking-Any-Point.
CoRR
Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman
2024 A* conf
Course Correcting Koopman Representations.
ICLR
Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin
2024 J jnl
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping.
CoRR
Vishal Batchu, Alex Wilson, Betty Peng, Carl Elkin, Umangi Jain, Christopher Van Arsdale, Ross Goroshin, Varun Gulshan
2024 J jnl
Scaling 4D Representations.
CoRR
João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2024 J jnl
TRecViT: A Recurrent Video Transformer.
CoRR
Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2023 J jnl
Block-State Transformer.
CoRR
Mahan Fathi, Jonathan Pilault, Pierre-Luc Bacon, Christopher Pal, Orhan Firat, Ross Goroshin
2023 A* conf
Block-State Transformers.
NeurIPS
Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin
2023 J jnl
Course Correcting Koopman Representations.
CoRR
Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin
2023 J jnl
Estimating Residential Solar Potential Using Aerial Data.
CoRR
Ross Goroshin, Alex Wilson, Andrew Lamb, Betty Peng, Brandon Ewonus, Cornelius Ratsch, Jordan Raisher, Marisa Leung, Max Burq, Thomas Colthurst, William Rucklidge, Carl Elkin
2023 A* conf
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks.
ICLR
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare
2023 J jnl
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks.
CoRR
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare
2021 — conf
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches.
NeurIPS Datasets and Benchmarks
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
2021 J jnl
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.
CoRR
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
2021 A* conf
Impact of Aliasing on Generalization in Deep Convolutional Networks.
ICCV
Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
2021 J jnl
Impact of Aliasing on Generalization in Deep Convolutional Networks.
CoRR
Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
2021 J jnl
Learned Image Compression for Machine Perception.
CoRR
Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal
2020 J jnl
An Analysis of Object Representations in Deep Visual Trackers.
CoRR
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
2020 J jnl
An Effective Anti-Aliasing Approach for Residual Networks.
CoRR
Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin
2020 A* conf
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.
ICLR
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2019 J jnl
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.
CoRR
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2018 J jnl
Vector-based navigation using grid-like representations in artificial agents.
Nat.
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, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran
2017 — conf
Learning to Navigate in Complex Environments.
ICLR (Poster)
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
2016 J jnl
Learning to Navigate in Complex Environments.
CoRR
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
2015 A* conf
Efficient object localization using Convolutional Networks.
CVPR
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
2015 — conf
Learning to Linearize Under Uncertainty.
NIPS
Ross Goroshin, Michaël Mathieu, Yann LeCun
2015 J jnl
Learning to Linearize Under Uncertainty.
CoRR
Ross Goroshin, Michaël Mathieu, Yann LeCun
2015 J jnl
Stacked What-Where Auto-encoders.
CoRR
Junbo Jake Zhao, Michaël Mathieu, Ross Goroshin, Yann LeCun
2015 — conf
Unsupervised Feature Learning from Temporal Data.
ICLR (Workshop)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2015 — —
Unsupervised Feature Learning in Computer Vision.
Ross Goroshin
2015 A* conf
Unsupervised Learning of Spatiotemporally Coherent Metrics.
ICCV
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2014 J jnl
Efficient Object Localization Using Convolutional Networks.
CoRR
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
2014 J jnl
Unsupervised Learning of Spatiotemporally Coherent Metrics.
CoRR
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun