Seungyeon Kim

According to our database, Seungyeon Kim authored at least 48 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects.

Seungyeon Kim, Taegyun Ahn, Yonghyeon Lee, Jihwan Kim, Michael Yu Wang, Frank C. Park

IEEE Trans Autom. Sci. Eng., July, 2023

ARC Joint: Anthropomorphic Rolling Contact Joint With Kinematically Variable Torsional Stiffness.

Seungyeon Kim, Eunho Sung, Jaeheung Park

IEEE Robotics Autom. Lett., March, 2023

EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval.

Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

CoRR, 2023

Efficient Training of Language Models using Few-Shot Learning.

Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar

Proceedings of the International Conference on Machine Learning, 2023

Teacher Guided Training: An Efficient Framework for Knowledge Transfer.

Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Supervision Complexity and its Role in Knowledge Distillation.

Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar

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.

Eunho Sung, Seungbin You, Seungyeon Kim, Jaeheung Park

Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Equivariant Motion Manifold Primitives.

Byeongho Lee, Yonghyeon Lee, Seungyeon Kim, Minjun Son, Frank C. Park

Proceedings of the Conference on Robot Learning, 2023

Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves.

Seungyeon Kim, Young Hun Kim, Yonghyeon Lee, Frank C. Park

Proceedings of the Conference on Robot Learning, 2023

2022

Contact State Estimation for Peg-in-Hole Assembly Using Gaussian Mixture Model.

Haeseong Lee, Suhan Park, Keunwoo Jang, Seungyeon Kim, Jaeheung Park

IEEE Robotics Autom. Lett., 2022

Robotic furniture assembly: task abstraction, motion planning, and control.

Suhan Park, Haeseong Lee, Seungyeon Kim, Jiyeong Baek, Keunwoo Jang, Hyoung Cheol Kim, Myeongsoo Kim, Jaeheung Park

Intell. Serv. Robotics, 2022

Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size.

Namkyoo Kang, Seungeun Han, Seungyeon Kim, SeungJoon Kwon, Yeongjae Choi, Yong-Tae Lee, Seung-Ik Lee

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

In defense of dual-encoders for neural ranking.

Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar

Proceedings of the International Conference on Machine Learning, 2022

A Statistical Manifold Framework for Point Cloud Data.

Yonghyeon Lee, Seungyeon Kim, Jinwon Choi, Frank Chongwoo Park

Proceedings of the International Conference on Machine Learning, 2022

SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations.

Seungyeon Kim, Byeongdo Lim, Yonghyeon Lee, Frank C. Park

Proceedings of the Conference on Robot Learning, 2022

2021

Search trajectory with twisting motion for dual peg-in-hole assembly.

Haeseong Lee, Sang Yup Lee, Keunwoo Jang, Seungyeon Kim, Jongseong Ko, Jaeheung Park

Intell. Serv. Robotics, 2021

Balancing Robustness and Sensitivity using Feature Contrastive Learning.

Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar

CoRR, 2021

On the Reproducibility of Neural Network Predictions.

Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar

CoRR, 2021

Development of Harmonic Reducing Transmission for Legged Robots.

Seungbin You, Jaehoon Sim, Seungyeon Kim, Eunho Sung, Jaeheung Park

Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

A statistical perspective on distillation.

Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar

Proceedings of the 38th International Conference on Machine Learning, 2021

Evaluations and Methods for Explanation through Robustness Analysis.

Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh

Proceedings of the 9th International Conference on Learning Representations, 2021

RankDistil: Knowledge Distillation for Ranking.

Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Elastomeric Continuously Variable Transmission Combined With Twisted String Actuator.

Seungyeon Kim, Jaehoon Sim, Jaeheung Park

IEEE Robotics Autom. Lett., 2020

Customer resistance to churn in a mature mobile telecommunications market.

Seungyeon Kim, Younghoon Chang, Siew Fan Wong, Myeong-Cheol Park

Int. J. Mob. Commun., 2020

Why distillation helps: a statistical perspective.

Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar

CoRR, 2020

Why are Adaptive Methods Good for Attention Models?

Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra

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.

Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Rigid Grasp Candidate Generation for Assembly Tasks.

Suhan Park, Jiyeong Baek, Seungyeon Kim, Jaeheung Park

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2020

2019

Why ADAM Beats SGD for Attention Models.

Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra

CoRR, 2019

2018

ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding.

Deokgun Park, Seungyeon Kim, Jurim Lee, Jaegul Choo, Nicholas Diakopoulos, Niklas Elmqvist

IEEE Trans. Vis. Comput. Graph., 2018

Gripper with Thumb Adduction/Abduction Joint for Enhanced In-Hand Orientation Manipulation.

Seungyeon Kim, Jaeheung Park

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017

POSTER: Rethinking Fingerprint Identification on Smartphones.

Seungyeon Kim, Hoyeon Lee, Taekyoung Kwon

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.

Hoyeon Lee, Seungyeon Kim, Taekyoung Kwon

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

LLORMA: Local Low-Rank Matrix Approximation.

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio

J. Mach. Learn. Res., 2016

2015

Novel document representations based on labels and sequential information.

Seungyeon Kim

PhD thesis, 2015

Identification of Corrupted Cloud Storage in Batch Auditing for Multi-Cloud Environments.

Sooyeon Shin, Seungyeon Kim, Taekyoung Kwon

Proceedings of the Information and Communication Technology, 2015

Local Context Sparse Coding.

Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Estimating Temporal Dynamics of Human Emotions.

Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Fast Spammer Detection Using Structural Rank.

Seungyeon Kim, Haesun Park, Guy Lebanon

CoRR, 2014

Local collaborative ranking.

Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

The Manifold of Human Emotions

Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa

Proceedings of the 1st International Conference on Learning Representations, 2013

Matrix Approximation under Local Low-Rank Assumption

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

Proceedings of the 1st International Conference on Learning Representations, 2013

Local Low-Rank Matrix Approximation.

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

Proceedings of the 30th International Conference on Machine Learning, 2013

Beyond Sentiment: The Manifold of Human Emotions.

Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Cumulative Revision Map

Seungyeon Kim, Joshua V. Dillon, Guy Lebanon

CoRR, 2012

Automatic Feature Induction for Stagewise Collaborative Filtering.

Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon

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

Seungyeon Kim, Guy Lebanon

CoRR, 2010

Local Space-Time Smoothing for Version Controlled Documents.

Seungyeon Kim, Guy Lebanon

Proceedings of the COLING 2010, 2010