S. M. Ali Eslami
S. M. Ali Eslami
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
The Pascal Visual Object Classes Challenge–a Retrospective
M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ...
IJCV, 2014
Data-efficient image recognition with contrastive predictive coding
OJ Hénaff, A Srinivas, J De Fauw, A Razavi, C Doersch, SMA Eslami, ...
International Conference on Machine Learning, 4182-4192, 2020
Emergence of locomotion behaviours in rich environments
N Heess, D Tb, S Sriram, J Lemmon, J Merel, G Wayne, Y Tassa, T Erez, ...
arXiv preprint arXiv:1707.02286, 2017
Conditional neural processes
M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ...
International conference on machine learning, 1704-1713, 2018
Neural scene representation and rendering
SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ...
Science 360 (6394), 1204-1210, 2018
Multimodal few-shot learning with frozen language models
M Tsimpoukelli, JL Menick, S Cabi, SM Eslami, O Vinyals, F Hill
Advances in Neural Information Processing Systems 34, 200-212, 2021
Neural processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
Attend, infer, repeat: Fast scene understanding with generative models
SMA Eslami, N Heess, T Weber, Y Tassa, D Szepesvari, GE Hinton
Advances in Neural Information Processing Systems, 3225-3233, 2016
Machine theory of mind
N Rabinowitz, F Perbet, F Song, C Zhang, SMA Eslami, M Botvinick
International conference on machine learning, 4218-4227, 2018
A probabilistic u-net for segmentation of ambiguous images
S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
Advances in neural information processing systems 31, 2018
Unsupervised learning of 3d structure from images
D Jimenez Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, ...
Advances in neural information processing systems 29, 2016
Attentive neural processes
H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ...
arXiv preprint arXiv:1901.05761, 2019
The Shape Boltzmann Machine: a Strong Model of Object Shape
SMA Eslami, N Heess, CKI Williams, J Winn
International Journal of Computer Vision 107 (2), 155-176, 2014
Synthesizing programs for images using reinforced adversarial learning
Y Ganin, T Kulkarni, I Babuschkin, SMA Eslami, O Vinyals
International Conference on Machine Learning, 1666-1675, 2018
Contrastive training for improved out-of-distribution detection
J Winkens, R Bunel, AG Roy, R Stanforth, V Natarajan, JR Ledsam, ...
arXiv preprint arXiv:2007.05566, 2020
Polygen: An autoregressive generative model of 3d meshes
C Nash, Y Ganin, SMA Eslami, P Battaglia
International conference on machine learning, 7220-7229, 2020
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
From data to functa: Your data point is a function and you can treat it like one
E Dupont, H Kim, SM Eslami, D Rezende, D Rosenbaum
arXiv preprint arXiv:2201.12204, 2022
Kickstarting deep reinforcement learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
arXiv preprint arXiv:1803.03835, 2018
Learning and querying fast generative models for reinforcement learning
L Buesing, T Weber, S Racaniere, SM Eslami, D Rezende, DP Reichert, ...
arXiv preprint arXiv:1802.03006, 2018
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