Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.

[BibT_eX]

[DOI]

Jianfeng He

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FineSurE: Fine-grained Summarization Evaluation using LLMs.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise.

[BibT_eX]

[DOI]

Hwanjun Song

Minseok Kim

Jae-Gil Lee

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adaptive Shortcut Debiasing for Online Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning From Noisy Labels With Deep Neural Networks: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Data collection and quality challenges in deep learning: a data-centric AI perspective.

[BibT_eX]

[DOI]

VLDB J., July, 2023

Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection.

[BibT_eX]

[DOI]

Hwanjun Song

Jihwan Bang

CoRR, 2023

Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Consistency Regularization for Label Sparsity in Time Series.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Online Boundary-Free Continual Learning by Scheduled Data Prior.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generating Instance-level Prompts for Rehearsal-free Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Abstractiveness of Summarization Models through Calibrated Distillation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Re-Thinking Federated Active Learning Based on Inter-Class Diversity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Extendable, Efficient and Effective Transformer-based Object Detector.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding Cross-Domain Few-Shot Learning: An Experimental Study.

[BibT_eX]

[DOI]

CoRR, 2022

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Time Is MattEr: Temporal Self-supervision for Video Transformers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Dataset Condensation via Efficient Synthetic-Data Parameterization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

ViDT: An Efficient and Effective Fully Transformer-based Object Detector.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Coherence-based Label Propagation over Time Series for Accelerated Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Meta-Learning for Online Update of Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Learning by Self-Transition for Handling Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Machine Learning Robustness, Fairness, and their Convergence.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Exploiting Scene Depth for Object Detection with Multimodal Transformers.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Ada-boundary: accelerating DNN training via adaptive boundary batch selection.

[BibT_eX]

[DOI]

Mach. Learn., 2020

Two-Phase Learning for Overcoming Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2020

Learning from Noisy Labels with Deep Neural Networks: A Survey.

[BibT_eX]

[DOI]

CoRR, 2020

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Revisit Prediction by Deep Survival Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Prestopping: How Does Early Stopping Help Generalization against Label Noise?

[BibT_eX]

[DOI]

CoRR, 2019

MLAT: Metric Learning for kNN in Streaming Time Series.

[BibT_eX]

[DOI]

CoRR, 2019

SELFIE: Refurbishing Unclean Samples for Robust Deep Learning.

[BibT_eX]

[DOI]

Hwanjun Song

Minseok Kim

Jae-Gil Lee

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning.

[BibT_eX]

[DOI]

Hwanjun Song

Jae-Gil Lee

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

PAMAE: Parallel <i>k</i>-Medoids Clustering with High Accuracy and Efficiency.

[BibT_eX]

[DOI]

Hwanjun Song

Jae-Gil Lee

Wook-Shin Han

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Hwanjun Song

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