The original experiments code for AAAI 2020 paper, "AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates"
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Updated
Sep 8, 2023 - Jupyter Notebook
The original experiments code for AAAI 2020 paper, "AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates"
Presented at the 2023 International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2023). Lightweight mirror segmentation CNN that uses an EfficientNet backbone, employs parallel convolutional layers to capture edge features, and applies filter pruning for model compression
Model-pruning
A project done for Topics in Computer Science with Mask R-CNN to experiment with model pruning and ship detection in satellite images.
Denoising Diffusion Step-aware Models (ICLR2024)
A case study on understanding the effects of Pruning on model's Performance, Size and Accuracy.
An implementation of Variance Pruning: Pruning Language Models via Temporal Neuron Variance by Berry Weinstein, Yonatan Belinkov
Cut models not trees 🌳
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
Model Pruning TensorFlow's Object Detection API
OpenBA-V2: 3B LLM (Large Language Model) with T5 architecture, utilizing model pruning technique and continuing pretraining from OpenBA-15B.
Submission name: QualcommAI-EfficientNet. MicroNet Challenge (NeurIPS 2019) submission - Qualcomm AI Research
Structural Pruning for LLaMA
深度学习, especially CV
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