sorobedio / DNNWGLinks
Neural-etwork-parameters-with-Diffusion
☆33Updated last year
Alternatives and similar repositories for DNNWG
Users that are interested in DNNWG are comparing it to the libraries listed below
Sorting:
- ☆16Updated 2 years ago
- ICLR2024 statistics☆48Updated last year
- OpenReivew Submission Visualization (ICLR 2024/2025)☆151Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- A framework that allows you to apply Sparse AutoEncoder on any models☆41Updated 3 months ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆70Updated 6 months ago
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆40Updated 11 months ago
- Code for our ICML'24 on multimodal dataset distillation☆40Updated last year
- ☆33Updated 3 weeks ago
- Code release for NeurIPS 2023 paper SlotDiffusion: Object-centric Learning with Diffusion Models☆92Updated last year
- ✌ CLoG: Benchmarking Continual Learning of Image Generation Models☆20Updated last year
- Code of the paper: Finetuning Text-to-Image Diffusion Models for Fairness☆44Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- [CVPR 2024 Highlight] ImageNet-D☆44Updated last year
- Official Implementation of ProxyThinker: Test-Time Guidance through Small Visual Reasoners.☆17Updated last month
- ☆115Updated 2 years ago
- Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"☆41Updated 4 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆69Updated 7 months ago
- Data distillation benchmark☆68Updated 4 months ago
- Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".☆24Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 2 years ago
- ☆174Updated 5 months ago
- [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"☆182Updated 7 months ago
- A collection of papers on discrete diffusion models☆165Updated 3 months ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*, …☆14Updated 2 years ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆244Updated last year
- V1: Toward Multimodal Reasoning by Designing Auxiliary Task☆36Updated 6 months ago
- [ICCV2023] Dataset Quantization☆259Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆29Updated last year
- [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries☆29Updated last year