🥕 7월 논문 리뷰
7월달에 본 여러 논문들에 대한 리뷰입니다.
🥕 Materials for Summer Study
Long results of the SAIL 2024 summer study.
🥕 Literature Reviews: Neural Memory, kNN augmentation and some other recent trends.
This article is a review of several papers related to the neural memory and utilization of data embeddings (12 papers)
🥕 Mamba Factual Knowledge Editing
This article is a review of the paper:
🥕 Primary Bias in RL 논문 리뷰 (ICML 2022)
이 포스팅은 The Primacy Bias in Deep Reinforcement Learning 논문에 대한 공부입니다.
🥕 LongMem 논문 리뷰 (NeurIPS 2023)
이 포스팅은 Augmenting Language Models with Long-Term Memory 논문에 대한 공부입니다.
🥕 Model-based Meta Learning 논문 리뷰 (ICLR 2019)
이 포스팅은 Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning 논문에 대한 공부입니다.
🥕 Deep Learning Research Coding
연구를 위한 코딩
🥕 Memory as the Computational Resource
Study note
🥕 Neural Network Editing Study
Study of network editing.
🥕 Try to understand direct preference optimization
Try to understand direct preference optimization (DPO)
🥕 Graph Neural Network
Summary of learning graph neural network
🥕 ML
Personal Study of ML
🥕 Non-negative Matrix Factorization (NMF)
This is a gentle introduction of NMF.
🥕 Deconvolution and Checkboard Artifacts
This is an informal review of a paper. We take computational analysis of convolution and deconvolution for artifact generation
🥕 Understanding VQVAE
Description of VQVAE