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05/19/2023
Tune-Mode ConvBN Blocks For Efficient Transfer Learning
Convolution-BatchNorm (ConvBN) blocks are integral components in various...
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08/19/2022
Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow
Video frame interpolation is a challenging task due to the ever-changing...
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03/25/2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
Recording fast motion in a high FPS (frame-per-second) requires expensiv...
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03/14/2022
From Big to Small: Adaptive Learning to Partial-Set Domains
Domain adaptation targets at knowledge acquisition and dissemination fro...
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10/20/2021
Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs
Pre-trained model hubs with many pre-trained models (PTMs) have been a c...
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07/29/2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
We present Tianshou, a highly modularized python library for deep reinfo...
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02/22/2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
This paper studies task adaptive pre-trained model selection, an underex...
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08/05/2019
Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications
Under StepDecay learning rate strategy (decaying the learning rate after...
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03/28/2019
