Adamdad / Filter-Gradient-Decent
In this paper, we propose Filter Gradient Decent (FGD), an efficient stochastic optimization algorithm that makes a consistent estimation of the local gradient by solving an adaptive filtering problem with different designs of filters.
☆11Updated 3 years ago
Related projects: ⓘ
- PyTorch implementation of paper "StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization" in ICML 2024.☆11Updated 3 months ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆14Updated 5 months ago
- Code for CVPR 2024 Oral "Neural Lineage"☆12Updated 3 months ago
- [ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization☆22Updated 5 months ago
- ☆39Updated last year
- Code for ECCV 2022 paper “Learning with Recoverable Forgetting”☆21Updated 2 years ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆18Updated 6 months ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆76Updated 4 months ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆47Updated 11 months ago
- an official PyTorch implementation of the paper "Partial Network Cloning", CVPR 2023☆13Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated last year
- Prioritize Alignment in Dataset Distillation☆15Updated last month
- This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…☆13Updated last year
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆36Updated 5 months ago
- Respect to the input tensor instead of paramters of NN☆15Updated 2 years ago
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆28Updated 11 months ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆21Updated 6 months ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆11Updated 7 months ago
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆47Updated 9 months ago
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆49Updated 2 years ago
- The codebase of our paper "Improving the Training of Rectified Flows"☆65Updated 2 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆21Updated 9 months ago
- [ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance☆30Updated 2 months ago
- ☆36Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆29Updated last year
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆40Updated last year
- This repository is the official implementation of Generalized Data Weighting via Class-level Gradient Manipulation (NeurIPS 2021)(http://…☆21Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆38Updated last year
- An official pytorch implementation of AAAI 2024 paper "Latent Space Editing in Transformer-based Flow Matching"☆25Updated 5 months ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year