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JBIG 논문스터디

논문 서치 능력 및 도메인 확장을 위한 논문스터디

Current MEMBER

황산하, 노건우, 신호연, 권주원, 백인걸

RULE

  1. Changed!매주 화요일 오후 10시30분(Flexible) 논문 1개씩 리뷰 with some materials(like PPT)
  2. Discord 채널 - https://discord.gg/vVjq8XwqPz
  3. Issues : comment로 materials 첨부(link를 이용해서) + 한 주간 읽었던 논문 중에 흥미롭거나 소개해주고 싶은거 간단 요약과 링크
  4. Coding Assignments : 1) Backpropagation with Numpy 구현 2) Transformer 구현 3)Backjun coding problem 4) ETC.
  5. 발표시간 15분 + QNA 5분
  6. If you want to presentation in English, It is possible!

Purpose

  • 발표능력 향상
  • 논문 읽는 속도 향상
  • 개인 연구를 위한 도메인 확장
  • 디스커션을 통한 깊은 이해

History

  • 2023/07/12
    • sanha - Flow Network based Generative Models for Non-iterative Diverse Candidate Generation
  • 2023/06/28
    • keonwoo - INTEGER QUANTIZATION FOR DEEP LEARNING INFERENCE: PRINCIPLES AND EMPIRICAL EVALUATION
    • ingeol - Multi-Task Deep Neural Networks for Natural Language Understanding, GPT2
  • 2023/05/17
    • sanha - Decision Transformer via Reinforcement learning
    • hoyeon - AutoAugment: Learning Augmentation Strategies from Data
    • Ingeol - Transformer XL
    • juwon- DCGAN
  • 2023/03/28
    • sanha - Masked AutoEncoder(MAE)
    • keonwoo - Comprehensive survey about GNN
    • hoyeon - Neural Machine Translation by Jointly learning to Align and Translate
    • Ingeol - End-to-end Neural Coreference Resolution
    • juwon- U-net
  • 2023/03/21
    • hoyeon - Batch normalization
    • ingeol - BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding
    • sanha - Improving Language Understanding by Generative Pre-Training (GPT1)
    • juwon - Fully Convolution Network
  • 2023/03/11
    • sanha - Visual prompting via image inpainting
    • keonwoo - Variational Inference: A Review for Statisticians
    • hoyeon - Sequence to Sequence Learning with Neural Networks
    • Ingeol - Few-shot learning
  • 2023/03/04
    • sanha - Generative Adversarial Imitation learning(GAIL)
    • keonwoo - difussion model
    • hoyeon - Genarative adversarial network
  • 2023/02/23
    • sanha - A study of inverse reinforcement learning and its implementation
    • keonwoo - We need to know confidence of prediction on dataset
    • hoyeon - Autoencoding Variationa Bayes
  • 2023/02/10
    • sanha - Graphs Constraints and Search for the Abstraction and Reasoning Corpus
    • keonwoo - Attention is all you need!
  • 2023/02/03
    • sanha - Stocastic prediction of multi agent interaction from partial observations
    • keonwoo - A Tutorial on Bayesian Optimization
    • hoyeon - Playing Atari with Deep Reinforcement Learning
  • 2023/01/20
    • sanha - object centric learning with slot attention
  • 2023/01/06 : Alphacode 논문 리뷰 및 학습방향 설정

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논문리뷰 및 만담, 과제 정리

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