aaronserianni / training-free-nas
☆12Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for training-free-nas
- ☆20Updated 2 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆23Updated last year
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆13Updated 8 months ago
- ☆17Updated 2 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 3 years ago
- Code for RepNAS☆13Updated 2 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆22Updated 7 months ago
- ☆9Updated last year
- Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"☆11Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆35Updated 7 months ago
- [BMVC '21] DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search☆12Updated 2 years ago
- FOX-NAS: Fast, On-device and Explainable NeuralArchitecture Search☆10Updated 3 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆20Updated 3 years ago
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆19Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆29Updated 2 months ago
- ☆24Updated 2 years ago
- Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML'24)☆27Updated 2 months ago
- Macro Neural Architecture Search Benchmark☆16Updated last year
- ☆17Updated 3 months ago
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆10Updated 2 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 2 years ago
- Auto-Prox-AAAI24☆10Updated 6 months ago
- ☆10Updated 3 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆27Updated 11 months ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆23Updated last year
- Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)☆13Updated 3 months ago
- ☆16Updated 2 years ago
- Code repo for the paper "AIO-P: Expanding Neural Performance Predictors Beyond Image Classification", accepted to AAAI-23.☆10Updated 5 months ago