Seungyeon Kim

41 papers A* 14A 2Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Faster Cascades via Speculative Decoding.
ICLR
Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
2025 A* conf
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA.
ICLR
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster
2024 J jnl
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs.
CoRR
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
2024 A* conf
Analysis of Plan-based Retrieval for Grounded Text Generation.
EMNLP
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024 J jnl
Analysis of Plan-based Retrieval for Grounded Text Generation.
CoRR
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024 J jnl
Faster Cascades via Speculative Decoding.
CoRR
Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
2024 J jnl
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA.
CoRR
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster
2024 A* conf
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval.
ICML
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2023 A* conf
Efficient Training of Language Models using Few-Shot Learning.
ICML
Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar
2023 J jnl
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval.
CoRR
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2023 A* conf
Supervision Complexity and its Role in Knowledge Distillation.
ICLR
Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar
2023 J jnl
Supervision Complexity and its Role in Knowledge Distillation.
CoRR
Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar
2023 A* conf
Teacher Guided Training: An Efficient Framework for Knowledge Transfer.
ICLR
Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2022 A* conf
In defense of dual-encoders for neural ranking.
ICML
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar
2022 J jnl
Teacher Guided Training: An Efficient Framework for Knowledge Transfer.
CoRR
Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2021 A* conf
A statistical perspective on distillation.
ICML
Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar
2021 J jnl
Balancing Robustness and Sensitivity using Feature Contrastive Learning.
CoRR
Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar
2021 A* conf
Evaluations and Methods for Explanation through Robustness Analysis.
ICLR
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
2021 J jnl
On the Reproducibility of Neural Network Predictions.
CoRR
Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar
2021 A conf
RankDistil: Knowledge Distillation for Ranking.
AISTATS
Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar
2020 J jnl
Evaluations and Methods for Explanation through Robustness Analysis.
CoRR
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
2020 — conf
Semantic Label Smoothing for Sequence to Sequence Problems.
EMNLP (1)
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar
2020 J jnl
Semantic Label Smoothing for Sequence to Sequence Problems.
CoRR
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar
2020 A* conf
Why are Adaptive Methods Good for Attention Models?
NeurIPS
Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra
2020 J jnl
Why distillation helps: a statistical perspective.
CoRR
Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar
2019 J jnl
Why ADAM Beats SGD for Attention Models.
CoRR
Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar, Suvrit Sra
2016 J jnl
LLORMA: Local Low-Rank Matrix Approximation.
J. Mach. Learn. Res.
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio
2015 A* conf
Estimating Temporal Dynamics of Human Emotions.
AAAI
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015 A* conf
Local Context Sparse Coding.
AAAI
Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park
2015 — —
Novel document representations based on labels and sequential information.
Seungyeon Kim
2014 J jnl
Fast Spammer Detection Using Structural Rank.
CoRR
Seungyeon Kim, Haesun Park, Guy Lebanon
2014 A* conf
Local collaborative ranking.
WWW
Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013 A conf
Beyond Sentiment: The Manifold of Human Emotions.
AISTATS
Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
2013 — conf
Local Low-Rank Matrix Approximation.
ICML (2)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013 — conf
Matrix Approximation under Local Low-Rank Assumption
ICLR (Workshop Poster)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
2013 — conf
The Manifold of Human Emotions
ICLR (Workshop Poster)
Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
2012 — conf
Automatic Feature Induction for Stagewise Collaborative Filtering.
NIPS
Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon
2012 J jnl
Beyond Sentiment: The Manifold of Human Emotions
CoRR
Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa
2012 J jnl
Cumulative Revision Map
CoRR
Seungyeon Kim, Joshua V. Dillon, Guy Lebanon
2010 — conf
Local Space-Time Smoothing for Version Controlled Documents.
COLING (Posters)
Seungyeon Kim, Guy Lebanon
2010 J jnl
Local Space-Time Smoothing for Versioned Documents
CoRR
Seungyeon Kim, Guy Lebanon