Rosanne Liu
Rosanne Liu
ML Collective; Google DeepMind
E-mailová adresa ověřena na: - Domovská stránka
An intriguing failing of convolutional neural networks and the coordconv solution
R Liu, J Lehman, P Molino, F Petroski Such, E Frank, A Sergeev, ...
Advances in neural information processing systems 31, 2018
Plug and play language models: A simple approach to controlled text generation
S Dathathri, A Madotto, J Lan, J Hung, E Frank, P Molino, J Yosinski, ...
arXiv preprint arXiv:1912.02164, 2019
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
Deconstructing lottery tickets: Zeros, signs, and the supermask
H Zhou, J Lan, R Liu, J Yosinski
Advances in neural information processing systems 32, 2019
A predictive machine learning approach for microstructure optimization and materials design
R Liu, A Kumar, Z Chen, A Agrawal, V Sundararaghavan, A Choudhary
Scientific reports 5 (1), 11551, 2015
Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations
L Ward, R Liu, A Krishna, VI Hegde, A Agrawal, A Choudhary, ...
Physical Review B 96 (2), 024104, 2017
Measuring the intrinsic dimension of objective landscapes
C Li, H Farkhoor, R Liu, J Yosinski
arXiv preprint arXiv:1804.08838, 2018
Supermasks in superposition
M Wortsman, V Ramanujan, R Liu, A Kembhavi, M Rastegari, J Yosinski, ...
Advances in Neural Information Processing Systems 33, 15173-15184, 2020
Faster neural networks straight from jpeg
L Gueguen, A Sergeev, B Kadlec, R Liu, J Yosinski
Advances in Neural Information Processing Systems 31, 2018
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
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
H Xu, R Liu, A Choudhary, W Chen
Journal of Mechanical Design 137 (5), 051403, 2015
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
H Xu, R Liu, A Choudhary, W Chen
ASME International Design Engineering Technical Conferences, 2014
What does a platypus look like? generating customized prompts for zero-shot image classification
S Pratt, I Covert, R Liu, A Farhadi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Language models are few-shot multilingual learners
GI Winata, A Madotto, Z Lin, R Liu, J Yosinski, P Fung
arXiv preprint arXiv:2109.07684, 2021
Machine learning approaches for elastic localization linkages in high-contrast composite materials
R Liu, YC Yabansu, A Agrawal, SR Kalidindi, AN Choudhary
Integrating Materials and Manufacturing Innovation 4, 192-208, 2015
Extremely simple activation shaping for out-of-distribution detection
A Djurisic, N Bozanic, A Ashok, R Liu
arXiv preprint arXiv:2209.09858, 2022
A scalable hierarchical clustering algorithm using spark
C Jin, R Liu, Z Chen, W Hendrix, A Agrawal, A Choudhary
2015 IEEE First International Conference on Big Data Computing Service and …, 2015
Context aware machine learning approaches for modeling elastic localization in three-dimensional composite microstructures
R Liu, YC Yabansu, Z Yang, AN Choudhary, SR Kalidindi, A Agrawal
Integrating Materials and Manufacturing Innovation 6, 160-171, 2017
An atari model zoo for analyzing, visualizing, and comparing deep reinforcement learning agents
FP Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, L Schubert, ...
arXiv preprint arXiv:1812.07069, 2018
Character-aware models improve visual text rendering
R Liu, D Garrette, C Saharia, W Chan, A Roberts, S Narang, I Blok, ...
arXiv preprint arXiv:2212.10562, 2022
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Články 1–20