PatrickZH
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A collection of visual instruction tuning datasets.
[ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
[ICCV2023] Dataset Quantization
✨✨Latest Advances on Multimodal Large Language Models
SVIT: Scaling up Visual Instruction Tuning
Dataset pruning for ImageNet and LAION-2B.
Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Implementations of recent research prototypes/demonstrations using MONAI.
Painter & SegGPT Series: Vision Foundation Models from BAAI
EVA Series: Visual Representation Fantasies from BAAI
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
A curated list of awesome papers on dataset distillation and related applications.
Convert Machine Learning Code Between Frameworks
An awesome list of papers on privacy attacks against machine learning
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
The most parameter efficient machine learning models on a few popular benchmarks
This is a method of dataset condensation, and it has been accepted by CVPR-2022.
Dataset Condensation (ICLR21 and ICML21)
Awesome coreset/core-set/subset/sample selection works.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
Dataset Distillation