Seungyeon Kim
25 papers · 2010–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
π
Century Club
(24)
π
Conference Pioneer
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
π
Trend Setter
ποΈ
Keyword Collector
(74)
β
The Questioner
Conferences
ICML (6)
CORL (5)
ICLR (5)
AISTATS (2)
EMNLP (2)
NIPS (2)
ACL (1)
COLING (1)
JMLR (1)
Top co-authors
Keywords
collaborative filtering
(3)
recommendation system
(3)
knowledge distillation
(3)
representation learning
(2)
equivariant learning
(2)
matrix factorization
(2)
feature learning
(1)
bayesian inference
(1)
efficient training
(1)
transfer learning
(1)
manifold learning
(1)
stochastic gradient descent
(1)
sentiment analysis
(1)
natural language processing
(1)
machine translation
(1)
robotic manipulation
(1)
few-shot learning
(1)
text generation
(1)
information retrieval
(1)
3d reconstruction
(1)
Papers
Unlocking the Potential of Diffusion Language Models through Template Infilling
ACL 2026
ScrewSplat: An End-to-End Method for Articulated Object Recognition
CORL 2025
Faster Cascades via Speculative Decoding
ICLR 2025
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
ICLR 2025
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
ICML 2024
T$^2$SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects
CORL 2024
Analysis of Plan-based Retrieval for Grounded Text Generation
EMNLP 2024
Equivariant Motion Manifold Primitives
CORL 2023
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
ICLR 2023
Supervision Complexity and its Role in Knowledge Distillation
ICLR 2023
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
CORL 2023
Efficient Training of Language Models using Few-Shot Learning
ICML 2023
SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations
CORL 2022
A Statistical Manifold Framework for Point Cloud Data
ICML 2022
In defense of dual-encoders for neural ranking
ICML 2022
Evaluations and Methods for Explanation through Robustness Analysis
ICLR 2021
RankDistil: Knowledge Distillation for Ranking
AISTATS 2021
A statistical perspective on distillation
ICML 2021
Semantic Label Smoothing for Sequence to Sequence Problems
EMNLP 2020
Why are Adaptive Methods Good for Attention Models?
NIPS 2020
LLORMA: Local Low-Rank Matrix Approximation
JMLR 2016
Local Low-Rank Matrix Approximation
ICML 2013
Beyond Sentiment: The Manifold of Human Emotions
AISTATS 2013
Automatic Feature Induction for Stagewise Collaborative Filtering
NIPS 2012
Local Space-Time Smoothing for Version Controlled Documents
COLING 2010