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Shaojie Bai
Shaojie Bai
Machine Learning Department, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
International Conference on Learning Representations (ICLR) Workshop, 2018
57192018
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
12532019
Deep equilibrium models
S Bai, JZ Kolter, V Koltun
Advances in Neural Information Processing Systems, 688-699, 2019
6542019
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
2382019
Multiscale Deep Equilibrium Models
S Bai, V Koltun, JZ Kolter
Advances in Neural Information Processing Systems, 2020
2022020
Trellis networks for sequence modeling
S Bai, JZ Kolter, V Koltun
International Conference on Learning Representations (ICLR), 2019
1602019
Convolutional sequence modeling revisited
S Bai, JZ Kolter, V Koltun
International Conference on Learning Representations (ICLR), 2018
702018
Deep Equilibrium Optical Flow Estimation
S Bai, Z Geng, Y Savani, JZ Kolter
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
652022
On Training Implicit Models
Z Geng*, XY Zhang*, S Bai, Y Wang, Z Lin
Advances in Neural Information Processing Systems 34, 2021
602021
Stabilizing Equilibrium Models by Jacobian Regularization
S Bai, V Koltun, JZ Kolter
International Conference on Machine Learning (ICML), 2021
592021
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
362021
: Implicit Layers for Implicit Representations
Z Huang, S Bai, JZ Kolter
Advances in neural information processing systems 34, 9639-9650, 2021
352021
Neural deep equilibrium solvers
S Bai, V Koltun, JZ Kolter
International Conference on Learning Representations, 2021
352021
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Z Ramzi, F Mannel, S Bai, JL Starck, P Ciuciu, T Moreau
International Conference on Learning Representations (ICLR), 2022
272022
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
142021
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
C Anil, A Pokle, K Liang, J Treutlein, Y Wu, S Bai, Z Kolter, R Grosse
Advances in Neural Information Processing Systems, 2022
132022
Joint inference and input optimization in equilibrium networks
S Gurumurthy, S Bai, Z Manchester, JZ Kolter
Advances in Neural Information Processing Systems 34, 16818-16832, 2021
132021
From audio to photoreal embodiment: Synthesizing humans in conversations
E Ng, J Romero, T Bagautdinov, S Bai, T Darrell, A Kanazawa, A Richard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
72024
Deep neural network with equilibrium solver
BAI Shaojie, JZ Kolter, M Schober
US Patent App. 16/985,852, 2021
62021
ARIMA Model Forecast for Wind Power Time Series with Different Temporal Resolutions [J]
L Zhang, J Li, Y Wu, B Shaojie, JZ Kolter, V Koltun
Electric Power 6, 176-180, 2016
62016
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