Taesup Moon

Orcid: 0000-0002-9257-6503

According to our database1, Taesup Moon authored at least 76 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning.
CoRR, 2024

NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Converting and Smoothing False Negatives for Vision-Language Pre-training.
CoRR, 2023

TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers.
CoRR, 2023

Sy-CON: Symmetric Contrastive Loss for Continual Self-Supervised Representation Learning.
CoRR, 2023

Continual Learning in the Presence of Spurious Correlation.
CoRR, 2023

Observations on K-Image Expansion of Image-Mixing Augmentation.
IEEE Access, 2023

SwiFT: Swin 4D fMRI Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Issues for Continual Learning in the Presence of Dataset Bias.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

Towards More Robust Interpretation via Local Gradient Alignment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Continual Learning of Micro-Doppler Signature-Based Human Activity Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Is Continual Learning Truly Learning Representations Continually?
CoRR, 2022

Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning.
CoRR, 2022

GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET.
IEEE Access, 2022

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Fair Classifiers with Partially Annotated Group Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Supervised Neural Discrete Universal Denoiser for Adaptive Denoising.
CoRR, 2021

Observations on K-image Expansion of Image-Mixing Augmentation for Classification.
CoRR, 2021

Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack.
CoRR, 2021

Deep Learning Aided Blind Synchronization Word Estimation.
IEEE Access, 2021

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images.
Proceedings of the 9th International Conference on Learning Representations, 2021

CPR: Classifier-Projection Regularization for Continual Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

SS-IL: Separated Softmax for Incremental Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fair Feature Distillation for Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Blind Pixelwise Affine Image Denoiser With Single Noisy Images.
IEEE Signal Process. Lett., 2020

CPR: Classifier-Projection Regularization for Continual Learning.
CoRR, 2020

A Simple Class Decision Balancing for Incremental Learning.
CoRR, 2020

Adaptive Group Sparse Regularization for Continual Learning.
CoRR, 2020

Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

xxAI - Beyond Explainable Artificial Intelligence.
Proceedings of the xxAI - Beyond Explainable AI, 2020

Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images.
CoRR, 2019

Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation.
Biomed. Signal Process. Control., 2019

Working Vacation Scheduling of M<sup>X</sup>/M/1/N System using Neural Network.
Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019

Fooling Neural Network Interpretations via Adversarial Model Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Uncertainty-based Continual Learning with Adaptive Regularization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fully Convolutional Pixel Adaptive Image Denoiser.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Subtask Gated Networks for Non-Intrusive Load Monitoring.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
UDLR Convolutional Network for Adaptive Image Denoiser.
Proceedings of the Robot Intelligence Technology and Applications, 2018

Neural Adaptive Image Denoiser.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Neural Affine Grayscale Image Denoising.
CoRR, 2017

Uniform Concentration of the Loss Estimator for Neural DUDE.
CoRR, 2017

3D Densely Convolutional Networks for Volumetric Segmentation.
CoRR, 2017

2016
Micro-Doppler Based Classification of Human Aquatic Activities via Transfer Learning of Convolutional Neural Networks.
Sensors, 2016

Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2016

Neural Universal Discrete Denoiser.
CoRR, 2016

Regularization and Kernelization of the Maximin Correlation Approach.
IEEE Access, 2016

Neural Universal Discrete Denoiser.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Evaluation of a MISR-Based High-Resolution Aerosol Retrieval Method Using AERONET DRAGON Campaign Data.
IEEE Trans. Geosci. Remote. Sens., 2015

DUDE-Seq: Fast Universal Denoising of Nucleotide Sequences.
CoRR, 2015

RNNDROP: A novel dropout for RNNS in ASR.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014
Exploiting User Preference for Online Learning in Web Content Optimization Systems.
ACM Trans. Intell. Syst. Technol., 2014

2012
Universal Switching FIR Filtering.
IEEE Trans. Signal Process., 2012

An Online Learning Framework for Refining Recency Search Results with User Click Feedback.
ACM Trans. Inf. Syst., 2012

Bandits with Generalized Linear Models.
Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012

2011
Refining Recency Search Results with User Click Feedback
CoRR, 2011

Learning to model relatedness for news recommendation.
Proceedings of the 20th International Conference on World Wide Web, 2011

Discrete denoising of heterogeneous two-dimensional data.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
Discrete denoising of heterogenous two-dimensional data
CoRR, 2010

IntervalRank: isotonic regression with listwise and pairwise constraints.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Online learning for recency search ranking using real-time user feedback.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

User behavior driven ranking without editorial judgments.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Universal FIR MMSE Filtering.
IEEE Trans. Signal Process., 2009

Discrete denoising with shifts.
IEEE Trans. Inf. Theory, 2009

2008
Universal Filtering Via Hidden Markov Modeling.
IEEE Trans. Inf. Theory, 2008

2007
Competitive On-line Linear FIR MMSE Filtering.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
Soft Sensor Using PNN Model and Rule Base for Wastewater Treatment Plant.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Discrete universal filtering via hidden Markov modelling.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005


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