yueb17 / PEMNLinks
☆20Updated 2 years ago
Alternatives and similar repositories for PEMN
Users that are interested in PEMN are comparing it to the libraries listed below
Sorting:
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34Updated 2 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆31Updated 2 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆83Updated 4 years ago
- [ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization☆26Updated last year
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆72Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- ☆86Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models☆35Updated 2 years ago
- ☆31Updated 5 years ago
- Implementation of HAT https://arxiv.org/pdf/2204.00993☆51Updated last year
- ☆23Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 2 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated last year
- ☆17Updated 3 years ago
- ☆47Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- In progress.☆65Updated last year
- [ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain☆77Updated 2 years ago
- ☆13Updated last year
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆45Updated last year
- Code for ViTAS_Vision Transformer Architecture Search☆50Updated 4 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆49Updated 3 years ago
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆17Updated 2 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated last year