Kyomin Jung
Orcid: 0000-0003-2547-7051
According to our database1,
Kyomin Jung
authored at least 121 papers
between 2006 and 2024.
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Bibliography
2024
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs.
CoRR, 2024
Can LLMs Recognize Toxicity? Structured Toxicity Investigation Framework and Semantic-Based Metric.
CoRR, 2024
2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
MVMR: Evaluating Natural Language Video Localization Bias over Multiple Reliable Videos Pool.
CoRR, 2023
Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty.
Proceedings of the 10th Workshop on Argument Mining, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CoRR, 2022
IEEE Access, 2022
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Modality Alignment between Deep Representations for Effective Video-and-Language Learning.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Deriving Explainable Discriminative Attributes Using Confusion About Counterfactual Class.
Proceedings of the IEEE International Conference on Acoustics, 2022
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow.
Proceedings of the IEEE International Conference on Acoustics, 2022
Subgraph Representation Learning with Hard Negative Samples for Inductive Link Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022
2021
Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder.
J. Am. Medical Informatics Assoc., 2021
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information.
CoRR, 2021
Pairwise Context Similarity for Image Retrieval System Using Variational Auto-Encoder.
IEEE Access, 2021
Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network.
IEEE Access, 2021
Homeostasis-Inspired Continual Learning: Learning to Control Structural Regularization.
IEEE Access, 2021
Recommendation System With Hierarchical Recurrent Neural Network for Long-Term Time Series.
IEEE Access, 2021
IEEE Access, 2021
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information.
Proceedings of the Sixth Conference on Machine Translation, 2021
Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Air Quality Prediction with 1-Dimensional Convolution and Attention on Multi-modal Features.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Comparative studies on machine learning for paralinguistic signal compression and classification.
J. Supercomput., 2020
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator.
CoRR, 2020
BaitWatcher: A lightweight web interface for the detection of incongruent news headlines.
CoRR, 2020
Collaborative Training of Gans in Continuous and Discrete Spaces for Text Generation.
IEEE Access, 2020
Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Multimodal Speech Emotion Recognition Using Cross Attention with Aligned Audio and Text.
Proceedings of the Interspeech 2020, 2020
Proceedings of the Intelligent Systems and Applications, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Math. Oper. Res., 2019
Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition.
CoRR, 2019
MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019
Neural Networks for Compressing and Classifying Speaker-Independent Paralinguistic Signals.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Number Sequence Prediction Problems and Computational Powers of Neural Network Models.
CoRR, 2018
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the 2nd Workshop on Abusive Language Online, 2018
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016
2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
IEEE/ACM Trans. Netw., 2014
IEEE Trans. Mob. Comput., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
Modelling multi-state diffusion process in complex networks: theory and applications.
J. Complex Networks, 2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
2013
SIGMETRICS Perform. Evaluation Rev., 2013
Proceedings of the Social Informatics - 5th International Conference, 2013
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
SIAM J. Discret. Math., 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Almost tight upper bound for finding Fourier coefficients of bounded pseudo-Boolean functions.
J. Comput. Syst. Sci., 2011
IRIE: A Scalable Influence Maximization Algorithm for Independent Cascade Model and Its Extensions
CoRR, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the Computer Vision, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Electron. Colloquium Comput. Complex., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009
2008
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008
2007
Stability of the max-weight routing and scheduling protocol in dynamic networks and at critical loads.
Proceedings of the 39th Annual ACM Symposium on Theory of Computing, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
2006
Proceedings of the 2006 IEEE Information Theory Workshop, 2006