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08/30/2023
Latency-aware Unified Dynamic Networks for Efficient Image Recognition
Dynamic computation has emerged as a promising avenue to enhance the inf...
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08/27/2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Over the past decade, deep learning models have exhibited considerable a...
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04/06/2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
Recently, CLIP-guided image synthesis has shown appealing performance on...
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10/12/2022
Efficient Knowledge Distillation from Model Checkpoints
Knowledge distillation is an effective approach to learn compact models ...
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09/17/2022
Learning to Weight Samples for Dynamic Early-exiting Networks
Early exiting is an effective paradigm for improving the inference effic...
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03/06/2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
Training a generative adversarial network (GAN) with limited data has be...
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02/25/2022
Learn From the Past: Experience Ensemble Knowledge Distillation
Traditional knowledge distillation transfers "dark knowledge" of a pre-t...
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09/03/2021
