Seungjae Shin
11 papers · 2020–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (31) π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (10)
π
Grand Slam
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(66)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Learning Types Β· Machine Learning
(7)
Application Areas
(6)
Deep Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Analysis
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Keywords
neural network optimization
(2)
transition matrix
(2)
representation learning
(1)
semi-supervised learning
(1)
neural network training
(1)
few-shot learning
(1)
domain generalization
(1)
prompt learning
(1)
bayesian learning
(1)
density estimation
(1)
coreset selection
(1)
noisy label learning
(1)
self-supervised learning
(1)
knowledge distillation
(1)
data augmentation
(1)
image generation
(1)
sharpness-aware minimization
(1)
semantic segmentation
(1)
loss landscape
(1)
causal inference
(1)
Papers
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
AAAI 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
ICLR 2024
Frequency Domain-Based Dataset Distillation
NeurIPS 2023
Loss-Curvature Matching for Dataset Selection and Condensation
AISTATS 2023
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
ICML 2022
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
ICML 2022
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
NeurIPS 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
AAAI 2021
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
CVPR 2021
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
EMNLP 2020