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Yazhe Li
Yazhe Li
DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Representation learning with contrastive predictive coding
A Oord, Y Li, O Vinyals
arXiv preprint arXiv:1807.03748, 2018
78602018
Parallel wavenet: Fast high-fidelity speech synthesis
A Oord, Y Li, I Babuschkin, K Simonyan, O Vinyals, K Kavukcuoglu, ...
International conference on machine learning, 3918-3926, 2018
9182018
Deepmind control suite
Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ...
arXiv preprint arXiv:1801.00690, 2018
5342018
Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, et al. Deepmind control suite
Y Tassa, Y Doron, A Muldal, T Erez, Y Li
arXiv preprint arXiv:1801.00690 2 (6), 7, 2018
2942018
Model-free episodic control
C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ...
arXiv preprint arXiv:1606.04460, 2016
2582016
Low bit-rate speech coding with VQ-VAE and a WaveNet decoder
C Gârbacea, A van den Oord, Y Li, FSC Lim, A Luebs, O Vinyals, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
1172019
Self-supervised learning with kernel dependence maximization
Y Li, R Pogodin, DJ Sutherland, A Gretton
Advances in Neural Information Processing Systems 34, 15543-15556, 2021
572021
Vector quantized models for planning
S Ozair, Y Li, A Razavi, I Antonoglou, A Van Den Oord, O Vinyals
International Conference on Machine Learning, 8302-8313, 2021
382021
Procedural generalization by planning with self-supervised world models
A Anand, J Walker, Y Li, E Vértes, J Schrittwieser, S Ozair, T Weber, ...
arXiv preprint arXiv:2111.01587, 2021
262021
Efficient conditionally invariant representation learning
R Pogodin, N Deka, Y Li, DJ Sutherland, V Veitch, A Gretton
arXiv preprint arXiv:2212.08645, 2022
102022
Investigating the role of model-based learning in exploration and transfer
JC Walker, E Vértes, Y Li, G Dulac-Arnold, A Anand, T Weber, JB Hamrick
International Conference on Machine Learning, 35368-35383, 2023
52023
Where should i spend my flops? efficiency evaluations of visual pre-training methods
S Koppula, Y Li, E Shelhamer, A Jaegle, N Parthasarathy, R Arandjelovic, ...
arXiv preprint arXiv:2209.15589, 2022
42022
Sequential Learning Of Neural Networks for Prequential MDL
J Bornschein, Y Li, M Hutter
arXiv preprint arXiv:2210.07931, 2022
32022
Denoising Autoregressive Representation Learning
Y Li, J Bornschein, T Chen
arXiv preprint arXiv:2403.05196, 2024
2024
Transformers for Supervised Online Continual Learning
J Bornschein, Y Li, A Rannen-Triki
arXiv preprint arXiv:2403.01554, 2024
2024
Practical Kernel Tests of Conditional Independence
R Pogodin, A Schrab, Y Li, DJ Sutherland, A Gretton
arXiv preprint arXiv:2402.13196, 2024
2024
Evaluating Representations with Readout Model Switching
Y Li, J Bornschein, M Hutter
arXiv preprint arXiv:2302.09579, 2023
2023
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Articles 1–17