Ross Goroshin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Object Representations

Complex Environments

Lossy Image Compression

Supervised Learning

Top Venues

Publications

Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman
BootsTAP: Bootstrapped Training for Tracking-Any-Point. CoRR (2024)
Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin
Course Correcting Koopman Representations. ICLR (2024)
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks. CoRR (2023)
Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin
Block-State Transformers. NeurIPS (2023)
Ross Goroshin, Alex Wilson, Andrew Lamb, Betty Peng, Brandon Ewonus, Cornelius Ratsch, Jordan Raisher, Marisa Leung, Max Burq, Thomas Colthurst, William Rucklidge, Carl Elkin
Estimating Residential Solar Potential Using Aerial Data. CoRR (2023)
Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin
Course Correcting Koopman Representations. CoRR (2023)
Mahan Fathi, Jonathan Pilault, Pierre-Luc Bacon, Christopher Pal, Orhan Firat, Ross Goroshin
Block-State Transformer. CoRR (2023)
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks. ICLR (2023)
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
Impact of Aliasing on Generalization in Deep Convolutional Networks. ICCV (2021)
Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal
Learned Image Compression for Machine Perception. CoRR (2021)
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark. CoRR (2021)
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches. NeurIPS Datasets and Benchmarks (2021)
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
Impact of Aliasing on Generalization in Deep Convolutional Networks. CoRR (2021)
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin
An Effective Anti-Aliasing Approach for Residual Networks. CoRR (2020)
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
An Analysis of Object Representations in Deep Visual Trackers. CoRR (2020)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR (2020)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR (2019)
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
Vector-based navigation using grid-like representations in artificial agents. Nat. 557 (7705) (2018)
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
Learning to Navigate in Complex Environments. ICLR (Poster) (2017)
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
Learning to Navigate in Complex Environments. CoRR (2016)
Junbo Jake Zhao, Michaël Mathieu, Ross Goroshin, Yann LeCun
Stacked What-Where Auto-encoders. CoRR (2015)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) (2015)
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
Efficient object localization using Convolutional Networks. CVPR (2015)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Learning of Spatiotemporally Coherent Metrics. ICCV (2015)
Ross Goroshin, Michaël Mathieu, Yann LeCun
Learning to Linearize Under Uncertainty. CoRR (2015)
Ross Goroshin, Michaël Mathieu, Yann LeCun
Learning to Linearize Under Uncertainty. NIPS (2015)
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Unsupervised Learning of Spatiotemporally Coherent Metrics. CoRR (2014)
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
Efficient Object Localization Using Convolutional Networks. CoRR (2014)