Ashish Khetan

According to our database, Ashish Khetan authored at least 24 papers between 2016 and 2026.

Collaborative distances:

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

2026

When LLMs get significantly worse: A statistical approach to detect model degradations.

Jonas M. Kübler, Kailash Budhathoki, Matthäus Kleindessner, Xiong Zhou, Junming Yin, Ashish Khetan, George Karypis

CoRR, February, 2026

XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference.

Daniil Vankov, Nikita Ivkin, Kyle Ulrich, Xiang Song, Ashish Khetan, George Karypis

CoRR, February, 2026

P-EAGLE: Parallel-Drafting EAGLE with Scalable Training.

Mude Hui, Xin Huang, Jaime Campos Salas, Yue Sun, Nathan Pemberton, Xiang Song, Ashish Khetan, George Karypis

CoRR, February, 2026

2024

PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models.

Gerald Friedland, Xin Huang, Yueying Cui, Vishaal Kapoor, Ashish Khetan, Sanjiv Das

CoRR, 2024

2023

Representation Projection Invariance Mitigates Representation Collapse.

Anastasia Razdaibiedina, Ashish Khetan, Zohar S. Karnin, Daniel Khashabi, Vivek Madan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Improving language models fine-tuning with representation consistency targets.

Anastasia Razdaibiedina, Vivek Madan, Zohar S. Karnin, Ashish Khetan, Vishaal Kapoor

CoRR, 2022

Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection.

Xin Huang, Ashish Khetan, Rene Bidart, Zohar S. Karnin

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection.

Vivek Madan, Ashish Khetan, Zohar S. Karnin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin

CoRR, 2020

PruneNet: Channel Pruning via Global Importance.

Ashish Khetan, Zohar S. Karnin

CoRR, 2020

schuBERT: Optimizing Elements of BERT.

Ashish Khetan, Zohar S. Karnin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Spectrum Estimation from a Few Entries.

Ashish Khetan, Sewoong Oh

J. Mach. Learn. Res., 2019

Robust conditional GANs under missing or uncertain labels.

Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan

CoRR, 2019

DARC: Differentiable ARchitecture Compression.

Shashank Singh, Ashish Khetan, Zohar S. Karnin

CoRR, 2019

2018

Generalized Rank-Breaking: Computational and Statistical Tradeoffs.

Ashish Khetan, Sewoong Oh

J. Mach. Learn. Res., 2018

Number of Connected Components in a Graph: Estimation via Counting Patterns.

Ashish Khetan, Harshay Shah, Sewoong Oh

CoRR, 2018

Robustness of conditional GANs to noisy labels.

Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PacGAN: The power of two samples in generative adversarial networks.

Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning From Noisy Singly-labeled Data.

Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Matrix Norm Estimation from a Few Entries.

Ashish Khetan, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Reliable Crowdsourcing under the Generalized Dawid-Skene Model.

Ashish Khetan, Sewoong Oh

CoRR, 2016

Achieving budget-optimality with adaptive schemes in crowdsourcing.

Ashish Khetan, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Computational and Statistical Tradeoffs in Learning to Rank.

Ashish Khetan, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Data-driven Rank Breaking for Efficient Rank Aggregation.

Ashish Khetan, Sewoong Oh

Proceedings of the 33nd International Conference on Machine Learning, 2016