zyxxmu / lottery-jackpotsView external linksLinks
Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
☆35Jun 19, 2023Updated 2 years ago
Alternatives and similar repositories for lottery-jackpots
Users that are interested in lottery-jackpots are comparing it to the libraries listed below
Sorting:
- ☆17Jul 10, 2022Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Feb 15, 2022Updated 4 years ago
- ☆25Dec 11, 2021Updated 4 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆12Jun 7, 2023Updated 2 years ago
- ☆10Jul 30, 2021Updated 4 years ago
- The project page of paper: Aha! Adaptive History-driven Attack for Decision-based Black-box Models [ICCV 2021]☆10Feb 23, 2022Updated 3 years ago
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆25Oct 14, 2020Updated 5 years ago
- 陈云霁 智能计算系统 课后实验 一键运行☆41Dec 16, 2020Updated 5 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆24Apr 4, 2021Updated 4 years ago
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)☆82Sep 28, 2022Updated 3 years ago
- PyTorch implementation for GAL.☆56May 13, 2020Updated 5 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Aug 3, 2023Updated 2 years ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Apr 9, 2024Updated last year
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 3 years ago
- Official codebase for our paper "Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks"☆12Jun 30, 2021Updated 4 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆12Jan 30, 2021Updated 5 years ago
- Distilling the powerful segment anything models into lightweight ones for efficient segmentation.☆30Apr 27, 2023Updated 2 years ago
- [ICIP 2021] PyTorch code for "The Mind's Eye: Visualizing Class-Agnostic Features of CNNs" for generation of kernel features.☆12Sep 12, 2021Updated 4 years ago
- Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)☆43Feb 4, 2021Updated 5 years ago
- 厦门大学研究生学位论文 LaTeX 模板☆27May 28, 2021Updated 4 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆12Nov 20, 2019Updated 6 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆152May 17, 2021Updated 4 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 -- Distilling a Powerful Student Model via Online Knowledge Distillation☆31Nov 11, 2021Updated 4 years ago
- [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…☆14Aug 4, 2023Updated 2 years ago
- Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch☆14Feb 3, 2021Updated 5 years ago
- Pytorch implementation of our paper accepted by IEEE TMM, 2022 --Learning Efficient GANs for Image Translation via Differentiable Masks a…☆54Jul 6, 2023Updated 2 years ago
- Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples☆11Jun 12, 2018Updated 7 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated last year
- Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity☆22Jan 13, 2023Updated 3 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Jan 5, 2021Updated 5 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Dec 30, 2022Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Dec 17, 2022Updated 3 years ago
- ☆12Nov 17, 2023Updated 2 years ago
- Code for ICCV23 paper "Automatic network pruning via Hilbert Schmidt independence criterion lasso under information bottleneck principle"☆18Aug 8, 2023Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Feb 11, 2021Updated 5 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Aug 21, 2020Updated 5 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Sep 29, 2019Updated 6 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Oct 23, 2020Updated 5 years ago