Seungyeon Kim

Orcid: 0000-0001-6708-5684

According to our database1, Seungyeon Kim authored at least 55 papers between 2010 and 2024.

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Bibliography

2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA.
CoRR, 2024

A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs.
CoRR, 2024

Proleptic Temporal Ensemble for Improving the Speed of Robot Tasks Generated by Imitation Learning.
CoRR, 2024

Motion Manifold Flow Primitives for Language-Guided Trajectory Generation.
CoRR, 2024

Faster Cascades via Speculative Decoding.
CoRR, 2024

USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Analysis of Plan-based Retrieval for Grounded Text Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects.
IEEE Trans Autom. Sci. Eng., July, 2023

ARC Joint: Anthropomorphic Rolling Contact Joint With Kinematically Variable Torsional Stiffness.
IEEE Robotics Autom. Lett., March, 2023

EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval.
CoRR, 2023

Efficient Training of Language Models using Few-Shot Learning.
Proceedings of the International Conference on Machine Learning, 2023

Teacher Guided Training: An Efficient Framework for Knowledge Transfer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Supervision Complexity and its Role in Knowledge Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SNU-Avatar Robot Hand: Dexterous Robot Hand with Prismatic Four-Bar Linkage for Versatile Daily Applications.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Equivariant Motion Manifold Primitives.
Proceedings of the Conference on Robot Learning, 2023

Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves.
Proceedings of the Conference on Robot Learning, 2023

2022
Contact State Estimation for Peg-in-Hole Assembly Using Gaussian Mixture Model.
IEEE Robotics Autom. Lett., 2022

Robotic furniture assembly: task abstraction, motion planning, and control.
Intell. Serv. Robotics, 2022

Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

In defense of dual-encoders for neural ranking.
Proceedings of the International Conference on Machine Learning, 2022

A Statistical Manifold Framework for Point Cloud Data.
Proceedings of the International Conference on Machine Learning, 2022

SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations.
Proceedings of the Conference on Robot Learning, 2022

2021
Search trajectory with twisting motion for dual peg-in-hole assembly.
Intell. Serv. Robotics, 2021

Balancing Robustness and Sensitivity using Feature Contrastive Learning.
CoRR, 2021

On the Reproducibility of Neural Network Predictions.
CoRR, 2021

Development of Harmonic Reducing Transmission for Legged Robots.
Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

A statistical perspective on distillation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Evaluations and Methods for Explanation through Robustness Analysis.
Proceedings of the 9th International Conference on Learning Representations, 2021

RankDistil: Knowledge Distillation for Ranking.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Elastomeric Continuously Variable Transmission Combined With Twisted String Actuator.
IEEE Robotics Autom. Lett., 2020

Customer resistance to churn in a mature mobile telecommunications market.
Int. J. Mob. Commun., 2020

Why distillation helps: a statistical perspective.
CoRR, 2020

Why are Adaptive Methods Good for Attention Models?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semantic Label Smoothing for Sequence to Sequence Problems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Rigid Grasp Candidate Generation for Assembly Tasks.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020

2019
Why ADAM Beats SGD for Attention Models.
CoRR, 2019

2018
ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding.
IEEE Trans. Vis. Comput. Graph., 2018

Gripper with Thumb Adduction/Abduction Joint for Enhanced In-Hand Orientation Manipulation.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017
POSTER: Rethinking Fingerprint Identification on Smartphones.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Here Is Your Fingerprint!: Actual Risk versus User Perception of Latent Fingerprints and Smudges Remaining on Smartphones.
Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016
LLORMA: Local Low-Rank Matrix Approximation.
J. Mach. Learn. Res., 2016

2015
Novel document representations based on labels and sequential information.
PhD thesis, 2015

Identification of Corrupted Cloud Storage in Batch Auditing for Multi-Cloud Environments.
Proceedings of the Information and Communication Technology, 2015

Local Context Sparse Coding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Estimating Temporal Dynamics of Human Emotions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Fast Spammer Detection Using Structural Rank.
CoRR, 2014

Local collaborative ranking.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
The Manifold of Human Emotions
Proceedings of the 1st International Conference on Learning Representations, 2013

Matrix Approximation under Local Low-Rank Assumption
Proceedings of the 1st International Conference on Learning Representations, 2013

Local Low-Rank Matrix Approximation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Beyond Sentiment: The Manifold of Human Emotions.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Cumulative Revision Map
CoRR, 2012

Automatic Feature Induction for Stagewise Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010
Local Space-Time Smoothing for Versioned Documents
CoRR, 2010

Local Space-Time Smoothing for Version Controlled Documents.
Proceedings of the COLING 2010, 2010


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