Jinseok Nam

According to our database1, Jinseok Nam authored at least 18 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests.
CoRR, 2024

2023
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

2021
Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration.
CoRR, 2021

2019
Learning Label Structures with Neural Networks for Multi-label Classification.
PhD thesis, 2019

Learning Context-dependent Label Permutations for Multi-label Classification.
Proceedings of the 36th International Conference on Machine Learning, 2019

2017
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Improve Sentiment Analysis of Citations with Author Modelling.
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 2016

Medical Concept Embeddings via Labeled Background Corpora.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Using semantic similarity for multi-label zero-shot classification of text documents.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation.
Proceedings of the COLING 2016, 2016

All-in Text: Learning Document, Label, and Word Representations Jointly.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014
Large-Scale Multi-label Text Classification - Revisiting Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Knowledge Discovery in Scientific Literature.
Proceedings of the 12th Edition of the Konvens Conference, 2014

2013
Large-scale Multi-label Text Classification - Revisiting Neural Networks.
CoRR, 2013

2012
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval.
Proceedings of the COLING 2012, 2012


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