[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
☆41Sep 9, 2025Updated 7 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☆31Feb 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.☆32Sep 3, 2022Updated 3 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.
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆61Apr 5, 2022Updated 4 years ago
- This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern rec…☆29Aug 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
- [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
- ☆32Mar 9, 2022Updated 4 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆16Jan 16, 2025Updated last year
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆20Feb 16, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 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
- 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
- ☆65Jun 16, 2025Updated 10 months 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
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆43Mar 24, 2023Updated 3 years ago
- VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models☆26Mar 26, 2025Updated last year
- [NeurIPS 2025] HoliTom: Holistic Token Merging for Fast Video Large Language Models☆77Oct 10, 2025Updated 6 months ago
- 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
- ☆26Apr 12, 2022Updated 4 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆219Jul 8, 2024Updated last year
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Sep 23, 2022Updated 3 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆43Nov 8, 2020Updated 5 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Jul 25, 2024Updated last year
- Collection of recent methods on (deep) neural network compression and acceleration.☆954Apr 4, 2025Updated last year
- [ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377☆63Jun 11, 2024Updated last year
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago