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Ethan Dyer
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22362023
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
14402023
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
11812022
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
7202024
Solving quantitative reasoning problems with language models
A Lewkowycz, A Andreassen, D Dohan, E Dyer, H Michalewski, ...
Advances in Neural Information Processing Systems 35, 3843-3857, 2022
6072022
The large learning rate phase of deep learning: the catapult mechanism
A Lewkowycz, Y Bahri, E Dyer, J Sohl-Dickstein, G Gur-Ari
arXiv preprint arXiv:2003.02218, 2020
2382020
Boundary terms, variational principles, and higher derivative modified gravity
E Dyer, K Hinterbichler
Physical Review D—Particles, Fields, Gravitation, and Cosmology 79 (2), 024028, 2009
2362009
Explaining neural scaling laws
Y Bahri, E Dyer, J Kaplan, J Lee, U Sharma
Proceedings of the National Academy of Sciences 121 (27), e2311878121, 2024
2142024
Gradient descent happens in a tiny subspace
G Gur-Ari, DA Roberts, E Dyer
arXiv preprint arXiv:1812.04754, 2018
2142018
Anatomy of catastrophic forgetting: Hidden representations and task semantics
VV Ramasesh, E Dyer, M Raghu
arXiv preprint arXiv:2007.07400, 2020
1872020
Exploring length generalization in large language models
C Anil, Y Wu, A Andreassen, A Lewkowycz, V Misra, V Ramasesh, ...
Advances in Neural Information Processing Systems 35, 38546-38556, 2022
1842022
Effect of scale on catastrophic forgetting in neural networks
VV Ramasesh, A Lewkowycz, E Dyer
International Conference on Learning Representations, 2021
1712021
When do curricula work?
X Wu, E Dyer, B Neyshabur
arXiv preprint arXiv:2012.03107, 2020
1382020
Asymptotics of wide networks from feynman diagrams
E Dyer, G Gur-Ari
arXiv preprint arXiv:1909.11304, 2019
1222019
Block-recurrent transformers
DL Hutchins, I Schlag, Y Wu, E Dyer, B Neyshabur
Advances in neural information processing systems 35, 33248-33261, 2022
1142022
Universal bounds on charged states in 2d CFT and 3d gravity
N Benjamin, E Dyer, AL Fitzpatrick, S Kachru
Journal of High Energy Physics 2016 (8), 1-26, 2016
962016
Scaling dimensions of monopole operators in the theory in 2 + 1 dimensions
E Dyer, M Mezei, SS Pufu, S Sachdev
Journal of High Energy Physics 2015 (6), 1-48, 2015
832015
2D CFT partition functions at late times
E Dyer, G Gur-Ari
Journal of High Energy Physics 2017 (8), 1-35, 2017
802017
Affinity and diversity: Quantifying mechanisms of data augmentation
R Gontijo-Lopes, SJ Smullin, ED Cubuk, E Dyer
arXiv preprint arXiv:2002.08973, 2020
682020
Monopole taxonomy in three-dimensional conformal field theories
E Dyer, M Mezei, SS Pufu
arXiv preprint arXiv:1309.1160, 2013
682013
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