Claydon-Wang's repositories
Anti-random-pruning
Unofficial implementation of "Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks" AAAI 2022
Awesome-Pruning
A curated list of neural network pruning resources.
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Claydon-Wang.github.io
personal homepage
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CLIP_Calibration
[ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP
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EATA
Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
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examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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logitnorm_ood
Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
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