Seungjae Shin
11 papers · 2020–2024 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5)
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(10)
🏆
Grand Slam
🔥
Unstoppable
(5)
💎
Century Club
(11)
🗃️
Keyword Collector
(57)
Conferences
AAAI (2)
ICLR (2)
ICML (2)
NIPS (2)
AISTATS (1)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
neural network optimization
(2)
representation learning
(1)
image generation
(1)
semi-supervised learning
(1)
neural network training
(1)
few-shot learning
(1)
semantic segmentation
(1)
bayesian learning
(1)
density estimation
(1)
coreset selection
(1)
self-supervised learning
(1)
knowledge distillation
(1)
data augmentation
(1)
prompt learning
(1)
causal inference
(1)
class imbalance
(1)
fair classification
(1)
empirical risk minimization
(1)
bayesian modeling
(1)
model compression
(1)
Papers
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
AAAI 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024
Unknown Domain Inconsistency Minimization for Domain Generalization
ICLR 2024
Loss-Curvature Matching for Dataset Selection and Condensation
AISTATS 2023
Frequency Domain-Based Dataset Distillation
NIPS 2023
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
ICML 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
ICML 2022
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
CVPR 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
AAAI 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
NIPS 2021
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
EMNLP 2020