[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

[NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? 🤷‍♀️ Why not ! 🙆‍♀️

[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.

Collection of self-supervised models for speaker and language recognition tasks.

Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)

[ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang

Micromodels -- A framework for accurate, explainable, data efficient, and reusable NLP models.

Pytorch Implementation of CLIP-Lite | Accepted at AISTATS 2023

[ICML 2022] "Data-Efficient Double-Win Lottery Tickets from Robust Pre-training" by Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

Resource for misinformation research on Twitter. Official resource of the paper "DeMis: Data-efficient Misinformation Detection using Reinforcement Learning", ECML-PKDD 2022

Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning

Code for the Knowledge distillation work to enhance fine grained disease recognition.

Data loader and solution method for the DCASE 2024 Challenge Task1