Taesup Moon

36 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (9)

🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏆 Grand Slam 👑 Triple Crown 🤝 Dynamic Duo (12) 🏆 Keyword Champion (2) 🔥 Unstoppable (7) 🚀 Conference Pioneer ⚡ Prolific Year (6) ❓ The Questioner 🗃️ Keyword Collector (126) 💎 Century Club (35)

Conferences

NIPS (8) CVPR (6) ICLR (5) AAAI (4) ICCV (4) ACL (2) ICML (2) WACV (2) AISTATS (1) ECCV (1) UAI (1)

Top co-authors

Sungmin Cha (12) Sangwon Jung (8) Hongjoon Ahn (7) Sunghwan Joo (5) Jaeseok Byun (5) Donggyu Lee (4) Sanghyuk Chun (4) Taeeon Park (4) SeokHyeon Jeong (4) Dohoon Kim (3)

Research topics

Privacy (2)

Keywords

neural network (7) knowledge distillation (4) contrastive learning (3) catastrophic forgetting (3) image denoising (3) continual learning (3) self-supervised learning (3) large language model (2) algorithmic fairness (2) universal denoising (2) adversarial robustness (2) bias mitigation (2) parameter-efficient fine-tuning (2) composed image retrieval (2) unsupervised learning (2) neural network interpretation (2) image classification (2) class-incremental learning (2) group fairness (2) domain adaptation (1)

Papers

PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation ACL 2026 DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning ACL 2025 TLDR: Text Based Last-Layer Retraining for Debiasing Image Classifiers WACV 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2025 An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval ICCV 2025 MA-CIR: A Multimodal Arithmetic Benchmark for Composed Image Retrieval ICCV 2025 Multi-Group Proportional Representations for Text-to-Image Models CVPR 2025 MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024 Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NIPS 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline ICLR 2024 Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ICML 2024 Listwise Reward Estimation for Offline Preference-based Reinforcement Learning ICML 2024 NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023 Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization ICLR 2023 Towards More Robust Interpretation via Local Gradient Alignment AAAI 2023 SwiFT: Swin 4D fMRI Transformer NIPS 2023 Learning Fair Classifiers With Partially Annotated Group Labels CVPR 2022 Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks NIPS 2022 GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training ECCV 2022 FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise CVPR 2021 Fair Feature Distillation for Visual Recognition CVPR 2021 SS-IL: Separated Softmax for Incremental Learning ICCV 2021 SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning NIPS 2021 GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images ICLR 2021 CPR: Classifier-Projection Regularization for Continual Learning ICLR 2021 Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel AISTATS 2020 Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty UAI 2020 Continual Learning with Node-Importance based Adaptive Group Sparse Regularization NIPS 2020 Fooling Neural Network Interpretations via Adversarial Model Manipulation NIPS 2019 Subtask Gated Networks for Non-Intrusive Load Monitoring AAAI 2019 DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling AAAI 2019 Uncertainty-based Continual Learning with Adaptive Regularization NIPS 2019 Fully Convolutional Pixel Adaptive Image Denoiser ICCV 2019 Neural Universal Discrete Denoiser NIPS 2016