Shaojie Bai

According to our database1, Shaojie Bai authored at least 22 papers between 2018 and 2024.

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Bibliography

2024
Fast Registration of Photorealistic Avatars for VR Facial Animation.
CoRR, 2024

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations.
CoRR, 2024

2023
Stability of Weighted Majority Voting under Estimated Weights.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Deep Equilibrium Solvers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Equilibrium Optical Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning.
CoRR, 2021

$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Joint inference and input optimization in equilibrium networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Training Implicit Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GraFin: An Applicable Graph-based Fingerprinting Approach for Robust Indoor Localization.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

Stabilizing Equilibrium Models by Jacobian Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021

AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
A community-powered search of machine learning strategy space to find NMR property prediction models.
CoRR, 2020

Multiscale Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Trellis Networks for Sequence Modeling.
Proceedings of the 7th International Conference on Learning Representations, 2019

Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multimodal Transformer for Unaligned Multimodal Language Sequences.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.
CoRR, 2018

Convolutional Sequence Modeling Revisited.
Proceedings of the 6th International Conference on Learning Representations, 2018


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