Kaichao You

Orcid: 0000-0002-1955-3743

According to our database1, Kaichao You authored at least 18 papers between 2019 and 2024.

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Bibliography

2024
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers.
CoRR, 2024

2023
Event-Based Semantic Segmentation With Posterior Attention.
IEEE Trans. Image Process., 2023

From Big to Small: Adaptive Learning to Partial-Set Domains.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Tune-Mode ConvBN Blocks For Efficient Transfer Learning.
CoRR, 2023

Test-Time Training-Free Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs.
J. Mach. Learn. Res., 2022

Tianshou: A Highly Modularized Deep Reinforcement Learning Library.
J. Mach. Learn. Res., 2022

Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow.
Proceedings of the Computer Vision - ECCV 2022, 2022

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs.
CoRR, 2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library.
CoRR, 2021

LogME: Practical Assessment of Pre-trained Models for Transfer Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Co-Tuning for Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Normalization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications.
CoRR, 2019

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Universal Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Transfer Examples for Partial Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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