[ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang
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Updated
Jan 4, 2024 - Python
[ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang
Data loader and solution method for the DCASE 2024 Challenge Task1
[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
Code for the Knowledge distillation work to enhance fine grained disease recognition.
This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.
Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
Resource for misinformation research on Twitter. Official resource of the paper "DeMis: Data-efficient Misinformation Detection using Reinforcement Learning", ECML-PKDD 2022
Collection of self-supervised models for speaker and language recognition tasks.
Pytorch Implementation of CLIP-Lite | Accepted at AISTATS 2023
[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
Micromodels -- A framework for accurate, explainable, data efficient, and reusable NLP models.
TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? 🤷♀️ Why not ! 🙆♀️
[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
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 2020] Differentiable Augmentation for Data-Efficient GAN Training
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
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