Open source tools for computational pathology - Nature BME

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

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

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

Codebase for the paper ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models

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

Data loader and solution method for the DCASE 2024 Challenge Task1