dongkuanx27 / SparseBERT
(SparseBERT) Rethinking Network Pruning -- under the Pre-train and Fine-tune Paradigm (NAACL'21)
☆8Updated 3 years ago
Alternatives and similar repositories for SparseBERT:
Users that are interested in SparseBERT are comparing it to the libraries listed below
- Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.☆24Updated 10 months ago
- ☆12Updated last year
- Source code for IJCAI 2022 Long paper: Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.☆13Updated 2 years ago
- ☆13Updated 2 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆52Updated last year
- [KDD'22] Learned Token Pruning for Transformers☆96Updated last year
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆43Updated 2 years ago
- ICLR 2021☆46Updated 3 years ago
- MLPruning, PyTorch, NLP, BERT, Structured Pruning☆21Updated 3 years ago
- Implementation of AAAI 2022 Paper: Go wider instead of deeper☆32Updated 2 years ago
- ☆63Updated 4 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆13Updated last year
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- ☆26Updated 4 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆38Updated 4 years ago
- Personal Digest of NAS (Under Construction 🛠)☆25Updated 4 years ago
- ☆36Updated 2 years ago
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆31Updated 5 years ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆87Updated last year
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆46Updated last year
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆100Updated 2 years ago
- [AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".☆72Updated last year
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021☆38Updated 3 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆89Updated last year
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆18Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆24Updated 7 months ago
- Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020☆28Updated 3 years ago
- This is the official implmentation of Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data (IJCAI 2022 Long …☆11Updated last year