Sangwoo Mo

175 Seguidores

37 SlideShares 175 Seguidores 1 Seguindo

machine learning deep learning generative model computer vision reinforcement learning meta learning natural language processing gan bayesian generative adversarial network disentangled representation neural network artificial inteligence video representation transformer self-attention domain adaptation domain transfer gaussian process rnn recursive neural network nlp topological data analysis applied mathematics statistics vae uncertainty dropout approximation optimization complexity algorithm model nonparametric topic lda language processing natural multi armed bandit online advertising

Ver mais

Atividades
Sobre

Sangwoo Mo

Apresentações

Contextual Bandit Survey

Dirichlet Process

Hierarchical Dirichlet Process

Multi-Armed Bandit and Applications

Latent Dirichlet Allocation

Facility Location

Dropout as a Bayesian Approximation

On Unifying Deep Generative Models

Statistical Decision Theory

Reinforcement Learning with Deep Energy-Based Policies

Topology for Computing: Homology

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models

Emergence of Invariance and Disentangling in Deep Representations

Recursive Neural Networks

Improved Trainings of Wasserstein GANs (WGAN-GP)

Neural Processes

Domain Transfer and Adaptation Survey

Deep Learning for Natural Language Processing

Bayesian Model-Agnostic Meta-Learning

Generative Models for General Audiences

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Meta-Learning with Implicit Gradients

Self-Attention with Linear Complexity

Score-Based Generative Modeling through Stochastic Differential Equations

Explicit Density Models

Sharpness-aware minimization (SAM)

Learning Theory 101 ...and Towards Learning the Flat Minima

Deep Implicit Layers: Learning Structured Problems with Neural Networks

Object-Region Video Transformers

Introduction to Diffusion Models

Gostaram

알아두면 쓸데있는 신기한 강화학습 NAVER 2017

Harmonic Analysis and Deep Learning

Matrix calculus

Linear algebra

내가 대학원에 들어왔을 때 알았더라면 좋았을 연구 노하우 (개정증보판) (UST 대학원 신입생 OT 강연)