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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Language Model Cascades: Token-Level Uncertainty And Beyond
Neha Gupta
Aditya Menon
International Conference on Learning Representations (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)
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)
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (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)
Efficient Training of Language Models using Few-Shot Learning
Shankar Krishnan
Satyen Kale
Seungyeon Kim
ICML (2023)
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)
