Pinned Repositories
NASH-Pruning-Official
About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)
AI-Finance-Betting-Size
Advances in Financial Machine Learning 책에 있는 Chapter 10의 betting size 연습문제를 푼 파일입니다.
AI_Assignment
서강대학교 전자공학부 인공지능개론 수업 과제
BOAZ_Assignment
Assignments from the first Korean Big Data club BOAZ _ Visualization & Analysis
BOAZ_Python_Mentoring
빅데이터 분석/시각화
BPnP
Back-propagatable PnP
EvolvingQA_benchmark
Code and Dataset release of "Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models" (NAACL 2024)
Fine-tune-with-Few-Samples
Official Code of "How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation" (ICML Workshop 2022)
Naver-Movie-Reveiw-Sentiment-Analysis
Naver Sentiment Movie Corpus (네이버 영화리뷰 감성분석) RNN계열/Attention/Transformer/KoBERT
PnP-Net
An implementation of PnP-Net model
kimyuji's Repositories
kimyuji/EvolvingQA_benchmark
Code and Dataset release of "Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models" (NAACL 2024)
kimyuji/PnP-Net
An implementation of PnP-Net model
kimyuji/Fine-tune-with-Few-Samples
Official Code of "How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation" (ICML Workshop 2022)
kimyuji/AI-Finance-Betting-Size
Advances in Financial Machine Learning 책에 있는 Chapter 10의 betting size 연습문제를 푼 파일입니다.
kimyuji/Naver-Movie-Reveiw-Sentiment-Analysis
Naver Sentiment Movie Corpus (네이버 영화리뷰 감성분석) RNN계열/Attention/Transformer/KoBERT
kimyuji/AI_Assignment
서강대학교 전자공학부 인공지능개론 수업 과제
kimyuji/BOAZ_Assignment
Assignments from the first Korean Big Data club BOAZ _ Visualization & Analysis
kimyuji/BOAZ_Python_Mentoring
빅데이터 분석/시각화
kimyuji/BPnP
Back-propagatable PnP
kimyuji/bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
kimyuji/DExperts
code associated with ACL 2021 DExperts paper
kimyuji/EMNIST_Challenge
서강대학교 전자공학부 인공지능개론 수업에서 진행한 EMNIST Challenge 프로젝트를 해결한 파일입니다.
kimyuji/few-shot-baseline
kimyuji/Graph_DSAIL
KAIST Data Science and AI Lab Internship Program에서 공부한 Graph Embedding and Graph Neural Network 논문 구현 코드입니다.
kimyuji/kimyuji.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
kimyuji/Knowledge-Distillation
Pytorch implementation of various Knowledge Distillation (KD) methods.
kimyuji/mixup-cifar10
mixup: Beyond Empirical Risk Minimization
kimyuji/RecSys_DSAIL
KAIST Data Science and AI Lab Internship Program에서 공부한 추천시스템 논문 구현 코드입니다.
kimyuji/SFTN_kd
Pytorch Implementation of Student Friendly Teacher Network (NeurIPS 2021)
kimyuji/SuperGlue-pytorch
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
kimyuji/temporalwiki
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
kimyuji/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
kimyuji/the-story-of-heads
This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 paper "Analyzing Source and Target Contributions to NMT Predictions".
kimyuji/transformer-evolution
Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.