Ashish Khetan - RankMe

34 papers A* 4Journal 23Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	P-EAGLE: Parallel-Drafting EAGLE with Scalable Training. CoRR Mude Hui, Xin Huang, Jaime Campos Salas, Yue Sun, Nathan Pemberton, Xiang Song, Ashish Khetan, George Karypis
2026	J	`jnl`	When LLMs get significantly worse: A statistical approach to detect model degradations. CoRR Jonas M. Kübler, Kailash Budhathoki, Matthäus Kleindessner, Xiong Zhou, Junming Yin, Ashish Khetan, George Karypis
2026	J	`jnl`	XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference. CoRR Daniil Vankov, Nikita Ivkin, Kyle Ulrich, Xiang Song, Ashish Khetan, George Karypis
2024	J	`jnl`	PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models. CoRR Gerald Friedland, Xin Huang, Yueying Cui, Vishaal Kapoor, Ashish Khetan, Sanjiv Das
2023	—	`conf`	Representation Projection Invariance Mitigates Representation Collapse. EMNLP (Findings) Anastasia Razdaibiedina, Ashish Khetan, Zohar S. Karnin, Daniel Khashabi, Vivek Madan
2022	J	`jnl`	Improving language models fine-tuning with representation consistency targets. CoRR Anastasia Razdaibiedina, Vivek Madan, Zohar S. Karnin, Ashish Khetan, Vishaal Kapoor
2022	—	`conf`	Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. ACL (1) Xin Huang, Ashish Khetan, Rene Bidart, Zohar S. Karnin
2022	J	`jnl`	Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. CoRR Xin Huang, Ashish Khetan, Rene Bidart, Zohar S. Karnin
2021	—	`conf`	TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection. EMNLP (1) Vivek Madan, Ashish Khetan, Zohar S. Karnin
2020	J	`jnl`	PacGAN: The Power of Two Samples in Generative Adversarial Networks. IEEE J. Sel. Areas Inf. Theory Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh
2020	J	`jnl`	PruneNet: Channel Pruning via Global Importance. CoRR Ashish Khetan, Zohar S. Karnin
2020	J	`jnl`	TabTransformer: Tabular Data Modeling Using Contextual Embeddings. CoRR Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin
2020	A*	`conf`	schuBERT: Optimizing Elements of BERT. ACL Ashish Khetan, Zohar S. Karnin
2020	J	`jnl`	schuBERT: Optimizing Elements of BERT. CoRR Ashish Khetan, Zohar S. Karnin
2019	J	`jnl`	DARC: Differentiable ARchitecture Compression. CoRR Shashank Singh, Ashish Khetan, Zohar S. Karnin
2019	J	`jnl`	Robust conditional GANs under missing or uncertain labels. CoRR Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan
2019	J	`jnl`	Spectrum Estimation from a Few Entries. J. Mach. Learn. Res. Ashish Khetan, Sewoong Oh
2018	J	`jnl`	Generalized Rank-Breaking: Computational and Statistical Tradeoffs. J. Mach. Learn. Res. Ashish Khetan, Sewoong Oh
2018	—	`conf`	Learning From Noisy Singly-labeled Data. ICLR (Poster) Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar
2018	J	`jnl`	Number of Connected Components in a Graph: Estimation via Counting Patterns. CoRR Ashish Khetan, Harshay Shah, Sewoong Oh
2018	A*	`conf`	PacGAN: The power of two samples in generative adversarial networks. NeurIPS Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh
2018	J	`jnl`	Robustness of Conditional GANs to Noisy Labels. CoRR Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
2018	A*	`conf`	Robustness of conditional GANs to noisy labels. NeurIPS Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
2017	J	`jnl`	Learning From Noisy Singly-labeled Data. CoRR Ashish Khetan, Zachary C. Lipton, Anima Anandkumar
2017	—	`conf`	Matrix Norm Estimation from a Few Entries. NIPS Ashish Khetan, Sewoong Oh
2017	J	`jnl`	PacGAN: The power of two samples in generative adversarial networks. CoRR Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh
2017	J	`jnl`	Spectrum Estimation from a Few Entries. CoRR Ashish Khetan, Sewoong Oh
2016	—	`conf`	Achieving budget-optimality with adaptive schemes in crowdsourcing. NIPS Ashish Khetan, Sewoong Oh
2016	—	`conf`	Computational and Statistical Tradeoffs in Learning to Rank. NIPS Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Computational and Statistical Tradeoffs in Learning to Rank. CoRR Ashish Khetan, Sewoong Oh
2016	A*	`conf`	Data-driven Rank Breaking for Efficient Rank Aggregation. ICML Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Data-driven Rank Breaking for Efficient Rank Aggregation. CoRR Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Data-driven Rank Breaking for Efficient Rank Aggregation. J. Mach. Learn. Res. Ashish Khetan, Sewoong Oh
2016	J	`jnl`	Reliable Crowdsourcing under the Generalized Dawid-Skene Model. CoRR Ashish Khetan, Sewoong Oh