Shaojie Bai
Shaojie Bai
Machine Learning Department, Carnegie Mellon University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.cmu.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
16752018
Multimodal Transformer for Unaligned Multimodal Language Sequences
YHH Tsai, S Bai, PP Liang, JZ Kolter, LP Morency, R Salakhutdinov
Proceedings of the Annual Meeting of the Association for Computational …, 2019
1812019
Deep equilibrium models
S Bai, JZ Kolter, V Koltun
Advances in Neural Information Processing Systems, 688-699, 2019
1452019
Trellis networks for sequence modeling
S Bai, JZ Kolter, V Koltun
International Conference on Learning Representations (ICLR), 2019
642019
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel
YHH Tsai, S Bai, M Yamada, LP Morency, R Salakhutdinov
Proceedings of the Conference on Empirical Methods in Natural Language …, 2019
392019
Multiscale Deep Equilibrium Models
S Bai, V Koltun, JZ Kolter
Advances in Neural Information Processing Systems, 2020
352020
Convolutional sequence modeling revisited
S Bai, JZ Kolter, V Koltun
International Conference on Learning Representations (ICLR), 2018
352018
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. CoRR abs/1803.01271 (2018)
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
122018
A community-powered search of machine learning strategy space to find NMR property prediction models
LA Bratholm, W Gerrard, B Anderson, S Bai, S Choi, L Dang, P Hanchar, ...
Plos one 16 (7), e0253612, 2021
52021
A note on connecting barlow twins with negative-sample-free contrastive learning
YHH Tsai, S Bai, LP Morency, R Salakhutdinov
arXiv preprint arXiv:2104.13712, 2021
22021
Stabilizing Equilibrium Models by Jacobian Regularization
S Bai, V Koltun, JZ Kolter
International Conference on Machine Learning (ICML), 2021
2021
Graph transformer neural network force field for prediction of atomic forces and energies in molecular dynamic simulations
BAI Shaojie, JZ Kolter, M Kornbluth, J Mailoa, D Willmott
US Patent App. 16/569,308, 2021
2021
Deep neural network with equilibrium solver
BAI Shaojie, JZ Kolter, M Schober
US Patent App. 16/985,852, 2021
2021
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