Seungyeon Kim

According to our database, Seungyeon Kim authored at least 33 papers between 2010 and 2025.

Collaborative distances:

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

2025

Faster Cascades via Speculative Decoding.

Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar

CoRR, 2024

USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Analysis of Plan-based Retrieval for Grounded Text Generation.

Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

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

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

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

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

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

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

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