Cut models not trees 🌳
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Updated
Jan 20, 2020 - Jupyter Notebook
Cut models not trees 🌳
Model-pruning
A case study on understanding the effects of Pruning on model's Performance, Size and Accuracy.
The original experiments code for AAAI 2020 paper, "AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates"
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
An implementation of Variance Pruning: Pruning Language Models via Temporal Neuron Variance by Berry Weinstein, Yonatan Belinkov
A project done for Topics in Computer Science with Mask R-CNN to experiment with model pruning and ship detection in satellite images.
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
Submission name: QualcommAI-EfficientNet. MicroNet Challenge (NeurIPS 2019) submission - Qualcomm AI Research
Model Pruning TensorFlow's Object Detection API
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
OpenBA-V2: 3B LLM (Large Language Model) with T5 architecture, utilizing model pruning technique and continuing pretraining from OpenBA-15B.
深度学习, especially CV
3rd place solution for NeurIPS 2019 MicroNet challenge
Denoising Diffusion Step-aware Models (ICLR2024)
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