Sanjiv Kumar
Hi! I work in the area of large-scale machine learning and computer vision. You can find more information about me including a complete list of papers at: www.sanjivk.com.
Authored Publications
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Think before you speak: Training language models with pause tokens
Sachin Goyal
Ziwei Ji
Aditya Menon
Vaishnavh Nagarajan
International Conference on Learning Representations (ICLR) (2024)
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
Sadeep Jayasumana
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Yuchen Li
Alexandre Kirchmeyer
Aashay Mehta
Yilong Qin
Andrej Risteski
International Conference on Machine Learning (2024) (to appear)
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
Seungyeon Kim
Manzil Zaheer
Veeru Sadhanala
Sadeep Jayasumana
Aditya Menon
Rob Fergus
International Conference on Machine Learning (ICML) (2024)
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
DistillSpec: Improving speculative decoding via knowledge distillation
Yongchao Zhou
Kaifeng Lyu
Aditya Menon
Afshin Rostamizadeh
Jean-François Kagy
Rishabh Agarwal
International Conference on Learning Representations (ICLR) (2024)
Language Model Cascades: Token-Level Uncertainty And Beyond
Neha Gupta
Aditya Menon
International Conference on Learning Representations (2024)
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
Seungyeon Kim
Chong You
Himanshu Jain
Rob Fergus
International Conference on Learning Representations (ICLR) (2023)
SOAR: Improved Indexing for Approximate Nearest Neighbor Search
David Simcha
Dave Dopson
Neural Information Processing Systems (2023)
