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University of Technology Sydney
- Sydney, Australia
- https://he-y.github.io
Highlights
- Pro
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[ICLR'25] Official Implementation for "Training-Free Dataset Pruning for Instance Segmentation"
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[NeurIPS'24] Official Implementation for "Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?"
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Data-independent Module-aware Pruning for Hierarchical Vision Transformers (ICLR'24)
5 UpdatedApr 21, 2024 -
Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
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Awesome-Pruning Public
A curated list of neural network pruning resources.
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you-only-condense-once Public
You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)
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Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
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soft-filter-pruning Public
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks