Papers Review

1.[NLP] Large Language Models are Zero-Shot Reasoners

post-thumbnail

2.[추천시스템] Collaborative Filtering for Implicit Feedback Datasets (ALS)

post-thumbnail

4.[딥러닝] Averaging Weights Leads to Wider Optima and Better Generalization (SWA)

post-thumbnail

6.[딥러닝] Decoupled Neural Interfaces using Synthetic Gradients (DNI)

post-thumbnail

7.[딥러닝] The Forward-Forward Algorithm: Some Preliminary Investigations (FF)

post-thumbnail

8.[시계열] Time-Series Anomaly Detection Service at Microsoft (SRCNN)

post-thumbnail

9.[딥러닝] Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

post-thumbnail

10.[추천시스템] Variational Autoencoders for Collaborative Filtering (MultVAE)

post-thumbnail

11.[Vision] MLP-Mixer: An all-MLP Architecture for Vision

post-thumbnail

12.[Vision] Generative Adversarial Nets (GAN)

post-thumbnail

13.[NLP] Attention Is All You Need (Transformer)

post-thumbnail

14.[딥러닝] Layer Collaboration in the Forward-Forward Algorithm

post-thumbnail

15.[딥러닝] Bootstrap Your Own Latent : A New Approach to Self-Supervised Learning (BYOL)

post-thumbnail

16.[신경과학] Serotonin neurons modulate learning rate through uncertainty

post-thumbnail

17.[딥러닝] VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

post-thumbnail

18.[딥러닝] β-VAE : Learning basic visual concepts with a constrained variational framework

post-thumbnail