Jinseok Nam

7 papers · 2012–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

COLING (3) ICCV (1) ICML (1) NAACL (1) NeurIPS (1)

Top co-authors

Johannes Fürnkranz (3) Eneldo Loza Mencía (2) Sungjin Lee (2) Jaeyoung Do (1) Ziming Li (1) Ruhi Sarikaya (1) Fabian Hirschmann (1) Jin-Myung Won (1) Jungbeom Lee (1) Mohammad Kachuee (1)

Research topics

Machine Learning (5) Learning Types (4) Deep Learning (2) Architectures (2) Core Methods (2) Artificial Intelligence (1) Computer Vision (1) Natural Language Processing (1) Reinforcement Learning (1) Applications (1) Core AI (1) Generation (1) Methods (1) Optimization & Theory (1) Processing (1)

Keywords

multi-label classification (2) off-policy evaluation (1) visual saliency (1) policy gradient (1) weakly supervised learning (1) conversational ai (1) neural machine translation (1) task-oriented dialogue (1) natural language understanding (1) dialogue state tracking (1) label prediction (1) recurrent neural network (1) bandit learning (1) label dependency (1) image-text matching (1) referring image segmentation (1) classifier chain (1) dataset generation (1) translation quality (1) out-of-vocabulary problem (1)

Papers

Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests COLING 2025 Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency ICCV 2023 Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems NAACL 2022 Learning Context-dependent Label Permutations for Multi-label Classification ICML 2019 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification NeurIPS 2017 What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation COLING 2016 Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval COLING 2012