Seungyeon Kim

25 papers · 2010–2026 · 9 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (59) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🧬 Topic Evolution 🤝 Dynamic Duo (11) 🏆 Keyword Champion 🌈 Renaissance Researcher (7) 🔥 Unstoppable · Bronze ❓ The Questioner ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (119)

Venues

ICML (6) CoRL (5) ICLR (5) AISTATS (2) EMNLP (2) NeurIPS (2) ACL (1) COLING (1) JMLR (1)

Top co-authors

Sanjiv Kumar (11) Ankit Singh Rawat (8) Yonghyeon LEE (6) Frank C. Park (5) Guy Lebanon (5) Sashank Reddi (4) Manzil Zaheer (3) Andreas Veit (3) Aditya Menon (3) Young Hun Kim (3)

Research topics

Machine Learning (19) Deep Learning (11) Artificial Intelligence (10) Core AI (9) Core Methods (8) Optimization & Theory (8) Application Areas (7) Architectures (6) Learning Types · Machine Learning (6) Natural Language Processing (5) Learning Types · Deep Learning (4) Applications (3) Learning Paradigms (3) Models (3) Computer Vision (2)

Keywords

knowledge distillation (5) recommendation system (3) collaborative filtering (3) equivariant learning (2) matrix factorization (2) model compression (2) representation learning (2) stochastic gradient descent (1) manifold learning (1) neural tangent kernel (1) robotic manipulation (1) transfer learning (1) bayesian inference (1) few-shot learning (1) 3d reconstruction (1) text classification (1) feature learning (1) natural language processing (1) knowledge transfer (1) sentiment analysis (1)

Papers

Unlocking the Potential of Diffusion Language Models through Template Infilling ACL 2026 Faster Cascades via Speculative Decoding ICLR 2025 Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA ICLR 2025 ScrewSplat: An End-to-End Method for Articulated Object Recognition CoRL 2025 Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024 T$^2$SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects CoRL 2024 USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval ICML 2024 Efficient Training of Language Models using Few-Shot Learning ICML 2023 Equivariant Motion Manifold Primitives CoRL 2023 Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves CoRL 2023 Supervision Complexity and its Role in Knowledge Distillation ICLR 2023 Teacher Guided Training: An Efficient Framework for Knowledge Transfer ICLR 2023 A Statistical Manifold Framework for Point Cloud Data ICML 2022 In defense of dual-encoders for neural ranking ICML 2022 SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations CoRL 2022 A statistical perspective on distillation ICML 2021 Evaluations and Methods for Explanation through Robustness Analysis ICLR 2021 RankDistil: Knowledge Distillation for Ranking AISTATS 2021 Semantic Label Smoothing for Sequence to Sequence Problems EMNLP 2020 Why are Adaptive Methods Good for Attention Models? NeurIPS 2020 LLORMA: Local Low-Rank Matrix Approximation JMLR 2016 Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013 Local Low-Rank Matrix Approximation ICML 2013 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Local Space-Time Smoothing for Version Controlled Documents COLING 2010