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Chung-Ang univ@IIPL
- Seoul, South Korea
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20:01
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This repo is a live list of papers on game playing and large multimodality model - "A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges".
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
[NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
한국의 음악 스트리밍 사이트인 "melon"의 (2000~2023)년도 차트를 크롤링해 분석한다.
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Class-Incremental Learning: A Survey (TPAMI 2024)
A Unified Parameter-Efficient Transfer Learning Benchmark for Computer Vision Tasks
Detecting Training Data of Large Language Models via Expectation Maximization
PyCIL: A Python Toolbox for Class-Incremental Learning
The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Collect super-resolution related papers, data, repositories
[ECCV2024] AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking. Official Pytorch Implementation of AnatoMask.
A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据!
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]
A resource repository for machine unlearning in large language models
Open source code for AAAI 2023 Paper "BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning"
Conditional GAN for generating synthetic tabular data.
[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, qwen-vl, qwen2-vl, phi3-v etc.
Official Implementation of "The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers (ECCV 2024)”
Awesome Machine Unlearning (A Survey of Machine Unlearning)