Články s príkazom na verejný prístup - Jimmy BaĎalšie informácie
Dostupné niekde: 22
Show, attend and tell: Neural image caption generation with visual attention
K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ...
International conference on machine learning, 2048-2057, 2015
Príkazy: Natural Sciences and Engineering Research Council of Canada
Large language models are human-level prompt engineers
Y Zhou, AI Muresanu, Z Han, K Paster, S Pitis, H Chan, J Ba
International Conference on Learning Representations, 2022
Príkazy: Natural Sciences and Engineering Research Council of Canada
Benchmarking Model-Based Reinforcement Learning
T Wang, X Bao, I Clavera, J Hoang, Y Wen, E Langlois, S Zhang, G Zhang, ...
arXiv preprint arXiv:1907.02057, 2019
Príkazy: National Natural Science Foundation of China
Classifying and segmenting microscopy images with deep multiple instance learning
OZ Kraus, JL Ba, BJ Frey
Bioinformatics 32 (12), i52-i59, 2016
Príkazy: Natural Sciences and Engineering Research Council of Canada
Alpacafarm: A simulation framework for methods that learn from human feedback
Y Dubois, CX Li, R Taori, T Zhang, I Gulrajani, J Ba, C Guestrin, PS Liang, ...
Advances in Neural Information Processing Systems 36, 30039-30069, 2023
Príkazy: US National Science Foundation
Automated analysis of high‐content microscopy data with deep learning
OZ Kraus, BT Grys, J Ba, Y Chong, BJ Frey, C Boone, BJ Andrews
Molecular systems biology 13 (4), 924, 2017
Príkazy: US National Institutes of Health, Canadian Institutes of Health Research
On the convergence and robustness of training GANs with regularized optimal transport
M Sanjabi, J Ba, M Razaviyayn, JD Lee
Advances in Neural Information Processing Systems, 7091-7101, 2018
Príkazy: US Department of Defense
Dataset distillation using neural feature regression
Y Zhou, E Nezhadarya, J Ba
Advances in Neural Information Processing Systems, 2022
Príkazy: Natural Sciences and Engineering Research Council of Canada
High-dimensional asymptotics of feature learning: How one gradient step improves the representation
J Ba, MA Erdogdu, T Suzuki, Z Wang, D Wu, G Yang
Advances in Neural Information Processing Systems, 2022
Príkazy: US National Science Foundation, Natural Sciences and Engineering Research …
Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint
J Ba, M Erdogdu, T Suzuki, D Wu, T Zhang
International Conference on Learning Representations, https://openreview.net …, 2020
Príkazy: Natural Sciences and Engineering Research Council of Canada
Reversible recurrent neural networks
M MacKay, P Vicol, J Ba, RB Grosse
Advances in Neural Information Processing Systems, 9029-9040, 2018
Príkazy: Natural Sciences and Engineering Research Council of Canada
You Can't Count on Luck: Why Decision Transformers Fail in Stochastic Environments
K Paster, S McIlraith, J Ba
Advances in Neural Information Processing Systems, 2022
Príkazy: Natural Sciences and Engineering Research Council of Canada
Lime: Learning inductive bias for primitives of mathematical reasoning
Y Wu, MN Rabe, W Li, J Ba, RB Grosse, C Szegedy
International Conference on Machine Learning, 11251-11262, 2021
Príkazy: European Commission
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
S Lifshitz, K Paster, H Chan, J Ba, S McIlraith
Advances in Neural Information Processing Systems, 2023
Príkazy: Natural Sciences and Engineering Research Council of Canada
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
H Chan, Y Wu, J Kiros, S Fidler, J Ba
arXiv preprint arXiv:1902.04546, 2019
Príkazy: Natural Sciences and Engineering Research Council of Canada
How does a neural network's architecture impact its robustness to noisy labels?
J Li, M Zhang, K Xu, J Dickerson, J Ba
Advances in Neural Information Processing Systems 34, 9788-9803, 2021
Príkazy: US National Science Foundation, US Department of Energy, US Department of …
Understanding the variance collapse of SVGD in high dimensions
J Ba, MA Erdogdu, M Ghassemi, S Sun, T Suzuki, D Wu, T Zhang
International Conference on Learning Representations, 2021
Príkazy: Natural Sciences and Engineering Research Council of Canada
Learning in the presence of low-dimensional structure: a spiked random matrix perspective
J Ba, MA Erdogdu, T Suzuki, Z Wang, D Wu
Advances in Neural Information Processing Systems 36, 17420-17449, 2023
Príkazy: US National Science Foundation, Natural Sciences and Engineering Research …
Efficient statistical tests: A neural tangent kernel approach
S Jia, E Nezhadarya, Y Wu, J Ba
International Conference on Machine Learning, 4893-4903, 2021
Príkazy: Natural Sciences and Engineering Research Council of Canada
Blast: Latent dynamics models from bootstrapping
K Paster, LE McKinney, SA McIlraith, J Ba
Deep RL Workshop NeurIPS 2021, 2021
Príkazy: Natural Sciences and Engineering Research Council of Canada
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