aailab-kaist / DDiFLinks
Official PyTorch implementation for Distilling Dataset into Neural Field [ICLR 2025]
☆14Updated 4 months ago
Alternatives and similar repositories for DDiF
Users that are interested in DDiF are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- (Official) PyTorch implementation for Trajectory-Class-Aware Multi-Agent Reinforcement Learning (ICLR 2025)☆19Updated 5 months ago
- Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Pri…☆18Updated last year
- Official repo for Discriminator Guidance.☆15Updated last year
- About Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.☆10Updated last year
- ☆13Updated 8 months ago
- Official PyTorch implementation For Sharpness-Aware Active Learning [ICML 2023]☆11Updated last year
- Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (UADAL) [NeurIPS 2022]☆13Updated last year
- Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.☆14Updated last year
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- ☆25Updated last year
- ☆27Updated 3 months ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆13Updated 8 months ago
- Data Valuation without Training of a Model, submitted to ICLR'23☆22Updated 2 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆21Updated 2 years ago
- What Makes a Reward Model a Good Teacher? An Optimization Perspective☆35Updated last month
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 10 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)☆14Updated last year
- ☆14Updated 2 years ago
- ☆18Updated 7 months ago
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆74Updated 9 months ago
- ☆14Updated 4 months ago
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆76Updated last year
- Official PyTorch Implementation for Continual Learning and Private Unlearning☆16Updated 3 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆69Updated 3 months ago
- This is the project for IRM methods☆13Updated 3 years ago
- Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)☆10Updated 2 years ago