[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
☆41Sep 9, 2025Updated 6 months ago
Alternatives and similar repositories for Why-the-State-of-Pruning-so-Confusing
Users that are interested in Why-the-State-of-Pruning-so-Confusing are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 2 years ago
- [NeurIPS 2023] Latent Graph Inference with Limited Supervision☆27Feb 1, 2024Updated 2 years ago
- ☆20Nov 27, 2022Updated 3 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Dec 15, 2022Updated 3 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆31Sep 3, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern rec…☆26Aug 8, 2024Updated last year
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Oct 10, 2023Updated 2 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆81Jul 15, 2021Updated 4 years ago
- [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"☆29Feb 18, 2023Updated 3 years ago
- [arXiv 2024] Is Oracle Pruning the True Oracle?☆26Jan 10, 2025Updated last year
- [TKDE 2024, CIKM 2022] SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.☆39Dec 26, 2024Updated last year
- AFNet(NeurIPS 2022)☆20Nov 24, 2022Updated 3 years ago
- ☆32Mar 9, 2022Updated 4 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆16Jan 16, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆20Feb 16, 2024Updated 2 years ago
- A Close Look at Spatial Modeling: From Attention to Convolution☆92Dec 27, 2022Updated 3 years ago
- [CVPR-2023] Towards Any Structural Pruning☆17Apr 27, 2023Updated 2 years ago
- [ICDM 2022] Making Reconstruction-based Method Great Again for Video Anomaly Detection (PyTorch)☆40Mar 25, 2024Updated 2 years ago
- ☆19Feb 18, 2024Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆51Oct 21, 2023Updated 2 years ago
- This repository contains the pytorch attempts to replicate the results from the recent DeepMind Paper, "On the Effectiveness of Interval …☆10May 27, 2019Updated 6 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆69Mar 7, 2024Updated 2 years ago
- [ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization☆26Mar 30, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Python logging package for easy reproducible experimenting in research☆40Jul 29, 2025Updated 8 months ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆40Jul 29, 2023Updated 2 years ago
- Awesome papers on 3D anomaly detection and localization☆60Dec 7, 2024Updated last year
- (ECCV2022) EAGAN: EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs☆12Sep 15, 2022Updated 3 years ago
- "Good scientific writing is not a matter of life and death; it is much more serious than that."☆14Apr 29, 2025Updated 11 months ago
- Recent Advances on Efficient Vision Transformers☆55Jan 11, 2023Updated 3 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- [Arxiv 2025] In-Video Instructions: Visual Signals as Generative Control☆45Nov 25, 2025Updated 4 months ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆43Mar 24, 2023Updated 3 years ago
- [NeurIPS 2025] HoliTom: Holistic Token Merging for Fast Video Large Language Models☆73Oct 10, 2025Updated 5 months ago
- VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models☆26Mar 26, 2025Updated last year
- We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK a…☆26Nov 23, 2023Updated 2 years ago
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆104Nov 22, 2025Updated 4 months ago
- ☆26Apr 12, 2022Updated 3 years ago
- KDSS is the framework for knowledge distillation from LLMs☆12Nov 5, 2025Updated 4 months ago