Articles with public access mandates - Antonio TorralbaLearn more
Available somewhere: 85
Optimal goal-reaching reinforcement learning via quasimetric learning
T Wang, A Torralba, P Isola, A Zhang
International Conference on Machine Learning, 36411-36430, 2023
Mandates: US Department of Defense
Nopa: Neurally-guided online probabilistic assistance for building socially intelligent home assistants
X Puig, T Shu, JB Tenenbaum, A Torralba
2023 IEEE International Conference on Robotics and Automation (ICRA), 7628-7634, 2023
Mandates: US Department of Defense
Unsupervised compositional concepts discovery with text-to-image generative models
N Liu, Y Du, S Li, JB Tenenbaum, A Torralba
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Mandates: US National Science Foundation
Generalizing dataset distillation via deep generative prior
G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: US National Science Foundation
Physics-driven diffusion models for impact sound synthesis from videos
K Su, K Qian, E Shlizerman, A Torralba, C Gan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: US Department of Defense
Procedural image programs for representation learning
M Baradad, R Chen, J Wulff, T Wang, R Feris, A Torralba, P Isola
Advances in Neural Information Processing Systems 35, 6450-6462, 2022
Mandates: US Department of Defense, Banking Foundation "la Caixa"
Learning neural acoustic fields
A Luo, Y Du, M Tarr, J Tenenbaum, A Torralba, C Gan
Advances in Neural Information Processing Systems 35, 3165-3177, 2022
Mandates: US Department of Defense, US National Institutes of Health
Totems: Physical objects for verifying visual integrity
J Ma, L Chai, M Huh, T Wang, SN Lim, P Isola, A Torralba
European Conference on Computer Vision, 164-180, 2022
Mandates: US National Science Foundation
Compositional visual generation with composable diffusion models
N Liu, S Li, Y Du, A Torralba, JB Tenenbaum
European Conference on Computer Vision, 423-439, 2022
Mandates: US National Science Foundation, US Department of Defense
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents
E Weber, DP Papadopoulos, A Lapedriza, F Ofli, M Imran, A Torralba
IEEE transactions on pattern analysis and machine intelligence 45 (4), 4768-4781, 2022
Mandates: Government of Spain
Next-generation deep learning based on simulators and synthetic data
CM de Melo, A Torralba, L Guibas, J DiCarlo, R Chellappa, J Hodgins
Trends in cognitive sciences 26 (2), 174-187, 2022
Mandates: US Department of Defense
Finding fallen objects via asynchronous audio-visual integration
C Gan, Y Gu, S Zhou, J Schwartz, S Alter, J Traer, D Gutfreund, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation, US Department of Defense
Disentangling visual and written concepts in CLIP
J Materzyńska, A Torralba, D Bau
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US Department of Defense
Wearable imagenet: Synthesizing tileable textures via dataset distillation
G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation
Fixing malfunctional objects with learned physical simulation and functional prediction
Y Hong, K Mo, L Yi, LJ Guibas, A Torralba, JB Tenenbaum, C Gan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation, US Department of Defense
Dataset distillation by matching training trajectories
G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation
Robust contrastive learning against noisy views
CY Chuang, RD Hjelm, X Wang, V Vineet, N Joshi, A Torralba, S Jegelka, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation, US Department of Defense
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation, US National Institutes of Health, UK …
Learning to compose visual relations
N Liu, S Li, Y Du, J Tenenbaum, A Torralba
Advances in Neural Information Processing Systems 34, 23166-23178, 2021
Mandates: US National Science Foundation
Editing a classifier by rewriting its prediction rules
S Santurkar, D Tsipras, M Elango, D Bau, A Torralba, A Madry
Advances in Neural Information Processing Systems 34, 23359-23373, 2021
Mandates: US National Science Foundation, US Department of Defense
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