Posts by Tag

This is a collection of recent approaches and papers about Efficient ML including Parameter Efficient Fine Tuning(PEFT), qunatization, pruning and other topi...

[Paper] When is memorization of irrelevant training data necessary for high-accuracy learning

최대 1 분 소요

This is a review of “Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models”

[GPT-3]Language Models are Few-Shot Learners

최대 1 분 소요

This is a review of “[GPT-3]Language Models are Few-Shot Learners” Paper Review post Notion Link

[GPT-2] Language Models are Unsupervised Multitask Learners

최대 1 분 소요

This is a review of “[GPT-2] Language Models are Unsupervised Multitask Learners” Paper Review post Notion Link

[Paper] Auto-Regressive Next-Token Predictors are Universal Learners

최대 1 분 소요

This is a review of “Auto-Regressive Next-Token Predictors are Universal Learners” Paper Review post Notion Link

[Paper] Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models

최대 1 분 소요

This is a review of “Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models”

[Paper] Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models

최대 1 분 소요

This is a review of “Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models”

[Paper] Scaling Laws for Neural Language Models

최대 1 분 소요

This is a review of “Scaling Laws for Neural Language Models”

[Paper] Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought

최대 1 분 소요

This is a review of “Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought”

[Paper] Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Model

최대 1 분 소요

This is a review of “Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Model”

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Camera Theory

[Lecture] Summary: Computer Vision for Data Science

최대 1 분 소요

Filters

[Lecture] Transformation: Computer Vision for Data Science

1 분 소요

Motivation

[Lecture] Descriptos: Computer Vision for Data Science

2 분 소요

Parallelization

[Lecture] Detectors: Computer Vision for Data Science

2 분 소요

Motivation

[Lecture] Filtering: Computer Vision for Data Science

1 분 소요

Convolution

[Lecture] Math review: Computer Vision for Data Science

최대 1 분 소요

Gammer Curve

[Lecture] Light-shading: Computer Vision for Data Science

최대 1 분 소요

Light Theory

[Lecture] Cameras: Computer Vision for Data Science

4 분 소요

Projection

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Masked Language Model

[Paper] Sparks of Artificial General Intelligence: Early experiments with GPT-4

최대 1 분 소요

This is a review of “Sparks of Artificial General Intelligence: Early experiments with GPT-4” from MS.

[Paper] Frequency Effects on Syntactic Rule Learning in Transformers

최대 1 분 소요

This is a review of ACL’21 “Frequency Effects on Syntactic Rule Learning in Transformers”.

[Paper] Contextual Representation Learning beyond Masked Language Modeling

최대 1 분 소요

ACL 2022년의 “Contextual Representation Learning beyond Masked Language Modeling”이란 논문에 대한 리뷰입니다.

[Paper] AMOM: Adaptive Masking over Masking for Conditional Masked Language Model

최대 1 분 소요

AAAI 2023년의 “AMOM: Adaptive Masking over Masking for Conditional Masked Language Model”이란 논문에 대한 리뷰입니다.

[Paper] Mask more and mask later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token

최대 1 분 소요

ACL 2022년의 “Mask more and mask later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token”이란 논문에 대한 리뷰입니다.

[Paper] A Closer Look at How Fine-tuning Changes BERT

최대 1 분 소요

ACL 2022년의 A Closer Look at How Fine-tuning Changes BERT이란 논문에 대한 리뷰로 fine tuning이 pre-trained BERT의 성능, representation, layer에 어떻게 영향을 미치는지 해석해보고자 하는 논문입니다.

[Paper] Masked Latent Semantic Modeling

최대 1 분 소요

Masked Latent Semantic Modeling이란 논문에 대한 리뷰로 Knowledge distilation의 아이디어를 바탕으로 MLM에서 latent space 상에서의 masking을 sparse coding를 바탕으로 학습에 적용한 페이퍼 입니다.

[Paper] Blessing of Class Diversity in Pre-training

최대 1 분 소요

Blessing of Class Diversity in Pre-training이란 논문에 대한 리뷰로 Masked Language Model(MLM)이 왜 좋은 pre-train task인지 설명하고자 하는 페이퍼입니다.

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Computing Vision

[Paper] Squeeze-and-Excitation Networks

3 분 소요

“FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction”이란 논문에 대한 구현 코드입니다.

[Paper] Squeeze-and-Excitation Networks

1 분 소요

“Squeeze-and-Excitation Networks”이란 논문에 대한 리뷰입니다.

[Paper] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

1 분 소요

“MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications”이란 논문에 대한 리뷰입니다.

[Paper] Deep Residual Learning for Image Recognition

최대 1 분 소요

“Deep Residual Learning for Image Recognition”이란 논문에 대한 리뷰입니다.

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GNN

[Paper] Heterogeneous Graph Attention Network

최대 1 분 소요

“Neural Network for Graphs: A Contextual Constructive Approach”이란 논문에 대한 리뷰입니다.

[Paper] Spatial GNN

1 분 소요

“Neural Network for Graphs: A Contextual Constructive Approach”이란 논문에 대한 리뷰입니다.

[Paper] GCN

1 분 소요

“semi-supervised classification with graph convolutional networks”이란 논문에 대한 리뷰입니다.

[Paper] GNN

1 분 소요

“The Graph Neural Network Model”이란 논문에 대한 리뷰입니다.

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survey

[Paper] A Survey on Deep Transfer Learning

1 분 소요

“A Survey on Deep Transfer Learning”이란 논문에 대한 리뷰입니다.

[Paper] A survey of transfer learnings

최대 1 분 소요

“A survey of transfer learning”이란 논문에 대한 리뷰입니다.

[Paper] Optimization as a Model for Few-Shot Learning

최대 1 분 소요

“Optimization as a Model for Few-Shot Learning “이란 논문에 대한 리뷰입니다.

[Paper] Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

1 분 소요

“Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey”이란 논문에 대한 리뷰입니다.

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Self Supervised

[Paper] Big Self-Supervised Models are Strong Semi-Supervised Learners

최대 1 분 소요

“Big Self-Supervised Models are Strong Semi-Supervised Learners”이란 논문에 대한 리뷰입니다.

[Paper] A Simple Framework for Contrastive Learning of Visual Representations

최대 1 분 소요

“A Simple Framework for Contrastive Learning of Visual Representations”이란 논문에 대한 리뷰입니다.

[Paper] Optimization as a Model for Few-Shot Learning

최대 1 분 소요

“Optimization as a Model for Few-Shot Learning “이란 논문에 대한 리뷰입니다.

[Paper] Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

1 분 소요

“Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey”이란 논문에 대한 리뷰입니다.

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Real Analysis

[Lecture Summary] 03 Real Anaysis : Sequence

5 분 소요

This contents is based on Lecture of 18.100A of MIT Open Course. Coverage will be Lecture from 4~. link

[Lecture Summary] 02 Real Anaysis : Field

3 분 소요

This contents is based on Lecture of 18.100A of MIT Open Course. Coverage will be Lecture from 4~. link

[Lecture Summary] 01 Real Anaysis : Set

4 분 소요

This contents is based on Lecture of 18.100A of MIT Open Course. Coverage will be Lecture from 1 to 3. link

[Lecture Summary] 00 Real Anaysis : TOC

1 분 소요

This contents is based on Lecture of link

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CoT

[CoT]Paper List

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Chain-of-Thought(SAM) Paper List

[Paper] Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models

최대 1 분 소요

This is a review of “Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models”

[Paper] Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought

최대 1 분 소요

This is a review of “Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought”

[Paper] Graph of Thoughts: Solving Elaborate Problems with Large Language Models

최대 1 분 소요

This is a review of “Graph of Thoughts: Solving Elaborate Problems with Large Language Models”

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Diversity

[Paper] PD-GAN

5 분 소요

“PD-GAN: Adversarial Learning for Personalizaed Diversity-Promoting Recommendation”이란 논문에 대한 리뷰입니다.

[Paper] DGCN

4 분 소요

“DGCN: Diversified Recommendation with Graph Convolutional Networks “이란 논문에 대한 리뷰입니다.

[Paper] Determinantal Point Process

10 분 소요

“Determinantal point processes for machine learning”이란 논문에 대한 리뷰입니다.

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post-processing

[Paper] PD-GAN

5 분 소요

“PD-GAN: Adversarial Learning for Personalizaed Diversity-Promoting Recommendation”이란 논문에 대한 리뷰입니다.

[Paper] DGCN

4 분 소요

“DGCN: Diversified Recommendation with Graph Convolutional Networks “이란 논문에 대한 리뷰입니다.

[Paper] Determinantal Point Process

10 분 소요

“Determinantal point processes for machine learning”이란 논문에 대한 리뷰입니다.

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PHP

[Lecture Note] 02 MySQL과 실습

최대 1 분 소요

이것이 MySQL이다 강의를 참고하여 정리한 글임을 밝힙니다.

[Lecture Note] 02 MySQL과 연동

1 분 소요

이것이 MySQL이다 강의를 참고하여 정리한 글임을 밝힙니다.

[Lecture Note] 01 Introduction

2 분 소요

이것이 MySQL이다 강의를 참고하여 정리한 글임을 밝힙니다.

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CNN

[Paper] Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks

최대 1 분 소요

This is a brief review for “Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks”. You can see the paper at this open review ...

[Paper] Very Deep Convolutional Networks for Large-Scale Image Recognition

최대 1 분 소요

“Very Deep Convolutional Networks for Large-Scale Image Recognition”이란 논문에 대한 리뷰입니다.

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Preliminary

[Note] Bias & Variance

2 분 소요

Bias와 Variance간 trade off 혹은 그 decomposition에 대한 정리글입니다.

[Note] Manifold Regularization & Laplace Norm

1 분 소요

Maniforld Regularization과 Laplace norm에 대한 정리글입니다.

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Recurrent NN

[Paper] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

2 분 소요

“BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”이란 논문에 대한 리뷰입니다.

[Paper] Attention is All you Need

2 분 소요

“Attention is All you Need”이란 논문에 대한 리뷰입니다.

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Transfer Learning

[Paper] A Survey on Deep Transfer Learning

1 분 소요

“A Survey on Deep Transfer Learning”이란 논문에 대한 리뷰입니다.

[Paper] A survey of transfer learnings

최대 1 분 소요

“A survey of transfer learning”이란 논문에 대한 리뷰입니다.

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Random Walk

[Paper] LINE

1 분 소요

LINE를 numpy 바탕으로 하드코딩하여 구현한 것을 파트별로 구분한 것입니다.

[Paper] DeepWalk

2 분 소요

DeepWalk를 numpy 바탕으로 하드코딩하여 구현한 것을 파트별로 구분한 것입니다.

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Implementation

[Paper] LINE

1 분 소요

LINE를 numpy 바탕으로 하드코딩하여 구현한 것을 파트별로 구분한 것입니다.

[Paper] DeepWalk

2 분 소요

DeepWalk를 numpy 바탕으로 하드코딩하여 구현한 것을 파트별로 구분한 것입니다.

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Dev Log

[DevLog] Profiler

3 분 소요

Overview

[DevLog] Overview

최대 1 분 소요

Topics to be covered in somedays

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ML

[Paper] Singular Value Representation : A New Graph Perspective On Neural Networks

최대 1 분 소요

This is a brief review for “Singular Value Representation : A New Graph Perspective On Neural Networks”. You can see the paper at this link.

[Paper] Neural Collapse

3 분 소요

This is a brief review for “Prevalence of neural collapse during the terminal phase of deep learning traing”. You can see the paper at this link.

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Math

[Lecture Summary] 05 Real Anaysis : Limit of Function

최대 1 분 소요

This contents is based on Lecture of 18.100A of MIT Open Course. Coverage will be Lecture from 4~. link

[Lecture Summary] 04 Real Anaysis : Series

2 분 소요

This contents is based on Lecture of 18.100A of MIT Open Course. Coverage will be Lecture from 4~. link

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Infromation Theory

[Paper] Using Sliced Mutual Information to Study Memorization and Generalization

최대 1 분 소요

Using Sliced Mutual Information to Study Memorization and Generalization PDF Link

[Paper] Calibration, Entropy Rates, and Memory in Language Models

최대 1 분 소요

Calibration, Entropy Rates, and Memory in Language Models이란 논문에 대한 리뷰입니다. 기존의 연구들은 long term property를 반영하기 위해 architecture등을 제안했지만 perplexity와 같은 사용하고 있던 me...

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Distributed

[Paper] Communication Efficient Learning

1 분 소요

“Communication Efficient Learning”이란 논문에 대한 리뷰입니다.

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Federated

[Paper] Communication Efficient Learning

1 분 소요

“Communication Efficient Learning”이란 논문에 대한 리뷰입니다.

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Regularization

[Note] Manifold Regularization & Laplace Norm

1 분 소요

Maniforld Regularization과 Laplace norm에 대한 정리글입니다.

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Attention

[Paper] Heterogeneous Graph Attention Network

최대 1 분 소요

“Neural Network for Graphs: A Contextual Constructive Approach”이란 논문에 대한 리뷰입니다.

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Objective

[Note] BPR

1 분 소요

BPR에 대한 정리와 구현글입니다.

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Pytorch

[Note] BPR

1 분 소요

BPR에 대한 정리와 구현글입니다.

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Profiling

[DevLog] Profiler

3 분 소요

Overview

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Anaylsis

[Paper] Neural Collapse

3 분 소요

This is a brief review for “Prevalence of neural collapse during the terminal phase of deep learning traing”. You can see the paper at this link.

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3D vision

[Paper]3D Vision Papers

1 분 소요

Shape representation

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Random Field

[Paper] Deriving Language Models from Masked Language Models

최대 1 분 소요

Deriving Language Models from Masked Language Models이란 논문에 대한 리뷰로 기존 Masked Language Model(MLM)에서 joint distribution을 계산하기 위해 unary conditional을 이용한 여러 방법들(M...

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Stochastic Process

[Paper] Deriving Language Models from Masked Language Models

최대 1 분 소요

Deriving Language Models from Masked Language Models이란 논문에 대한 리뷰로 기존 Masked Language Model(MLM)에서 joint distribution을 계산하기 위해 unary conditional을 이용한 여러 방법들(M...

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Theory

[Paper] Singular Value Representation : A New Graph Perspective On Neural Networks

최대 1 분 소요

This is a brief review for “Singular Value Representation : A New Graph Perspective On Neural Networks”. You can see the paper at this link.

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Optimization

[Paper] AdaGDA, Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization

최대 1 분 소요

This is a brief review for “AdaGDA, Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization”. You can see the paper at this archive link. ...

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Entropy rate

[Paper] Calibration, Entropy Rates, and Memory in Language Models

최대 1 분 소요

Calibration, Entropy Rates, and Memory in Language Models이란 논문에 대한 리뷰입니다. 기존의 연구들은 long term property를 반영하기 위해 architecture등을 제안했지만 perplexity와 같은 사용하고 있던 me...

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AR

[Paper] AMOM: Adaptive Masking over Masking for Conditional Masked Language Model

최대 1 분 소요

AAAI 2023년의 “AMOM: Adaptive Masking over Masking for Conditional Masked Language Model”이란 논문에 대한 리뷰입니다.

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PErformance

[Paper] Emergent Abilities of Large Language Models

최대 1 분 소요

This is a brief review for “Emergent Abilities of Large Language Models”. You can see the paper at this open review link.

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Mask

[Paper] Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks

최대 1 분 소요

This is a brief review for “Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks”. You can see the paper at this open review ...

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Masking

[Paper] Masked Autoencoders Are Scalable Vision Learners

최대 1 분 소요

This is a brief review of “Masked Autoencoders Are Scalable Vision Learners” of CVPR 2022. You can see original paper at link

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Contrastive Learning

[Paper] Mini-batch Optimization of Contrastive Loss

최대 1 분 소요

This is a brief review for “Mini-batch Optimization of Contrastive Loss”. You can see the paper at this open review link.

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Sample Complexity

[Paper] Mini-batch Optimization of Contrastive Loss

최대 1 분 소요

This is a brief review for “Mini-batch Optimization of Contrastive Loss”. You can see the paper at this open review link.

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NTK

[Concepts] Neural Tangent Kernel

최대 1 분 소요

This is a brief review about “Neural Tangent Kernel”.

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ICML

[Conference] ICML 2023 Highlights

최대 1 분 소요

ICML 2023 Highlights!

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Measure Theory

[Lecture Summary] Measure Theory : MA 813 of IIT Bombay, MIT 18.125

최대 1 분 소요

This contents is based on Lecture of MATH 813 of IIT Bombay(link) and MIT 18.125(link) Lecture 1 : Measurability Contents P...

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Memorization

[Paper] When is memorization of irrelevant training data necessary for high-accuracy learning

최대 1 분 소요

This is a review of “Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models”

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SAM

[SAM]Paper List

최대 1 분 소요

Sharpness Aware Minimization(SAM) Paper List

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EfficientML

[Survey] Recent approaches about Efficient ML

최대 1 분 소요

This is a collection of recent approaches and papers about Efficient ML including Parameter Efficient Fine Tuning(PEFT), qunatization, pruning and other topi...

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Alignment

[Survey] Recent approaches about Super alignments

최대 1 분 소요

This is a collection of recent approaches and papers about super-alignment and relevant topics.

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Tech

[Survey] Recent technical reports

최대 1 분 소요

This is a collection of recent technical reports from several vendors including Google DeepMind, x.AI, AllenAI, AI21Labs, Databricks and HyperCLOVA.

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