Data loader and solution method for the DCASE 2024 Challenge Task1
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Updated
Jun 24, 2024
Data loader and solution method for the DCASE 2024 Challenge Task1
Code for the Knowledge distillation work to enhance fine grained disease recognition.
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
[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
Pytorch Implementation of CLIP-Lite | Accepted at AISTATS 2023
[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.
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.
[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
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
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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