Ashish Khetan

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 30

Top Topics

Rank Aggregation

Exploration Exploitation Dilemma

Top Venues

J. Mach. Learn. Res.

Publications

Anastasia Razdaibiedina, Ashish Khetan, Zohar Karnin, Daniel Khashabi, Vivek Madan
Representation Projection Invariance Mitigates Representation Collapse. EMNLP (Findings) (2023)
Anastasia Razdaibiedina, Vivek Madan, Zohar Karnin, Ashish Khetan, Vishaal Kapoor
Improving language models fine-tuning with representation consistency targets. CoRR (2022)
Xin Huang, Ashish Khetan, Rene Bidart, Zohar Karnin
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. ACL (1) (2022)
Xin Huang, Ashish Khetan, Rene Bidart, Zohar Karnin
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. CoRR (2022)
Vivek Madan, Ashish Khetan, Zohar Karnin
TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection. EMNLP (1) (2021)
Ashish Khetan, Zohar S. Karnin
schuBERT: Optimizing Elements of BERT. CoRR (2020)
Ashish Khetan, Zohar S. Karnin
PruneNet: Channel Pruning via Global Importance. CoRR (2020)
Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin
TabTransformer: Tabular Data Modeling Using Contextual Embeddings. CoRR (2020)
Zinan Lin, Ashish Khetan, Giulia C. Fanti, Sewoong Oh
PacGAN: The Power of Two Samples in Generative Adversarial Networks. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Ashish Khetan, Zohar S. Karnin
schuBERT: Optimizing Elements of BERT. ACL (2020)
Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan
Robust conditional GANs under missing or uncertain labels. CoRR (2019)
Shashank Singh, Ashish Khetan, Zohar S. Karnin
DARC: Differentiable ARchitecture Compression. CoRR (2019)
Ashish Khetan, Sewoong Oh
Spectrum Estimation from a Few Entries. J. Mach. Learn. Res. 20 (2019)
Ashish Khetan, Sewoong Oh
Generalized Rank-Breaking: Computational and Statistical Tradeoffs. J. Mach. Learn. Res. 19 (2018)
Ashish Khetan, Harshay Shah, Sewoong Oh
Number of Connected Components in a Graph: Estimation via Counting Patterns. CoRR (2018)
Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
Robustness of conditional GANs to noisy labels. NeurIPS (2018)
Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
Robustness of Conditional GANs to Noisy Labels. CoRR (2018)
Zinan Lin, Ashish Khetan, Giulia C. Fanti, Sewoong Oh
PacGAN: The power of two samples in generative adversarial networks. NeurIPS (2018)
Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar
Learning From Noisy Singly-labeled Data. ICLR (Poster) (2018)
Ashish Khetan, Sewoong Oh
Matrix Norm Estimation from a Few Entries. NIPS (2017)
Zinan Lin, Ashish Khetan, Giulia C. Fanti, Sewoong Oh
PacGAN: The power of two samples in generative adversarial networks. CoRR (2017)
Ashish Khetan, Zachary C. Lipton, Anima Anandkumar
Learning From Noisy Singly-labeled Data. CoRR (2017)
Ashish Khetan, Sewoong Oh
Spectrum Estimation from a Few Entries. CoRR (2017)
Ashish Khetan, Sewoong Oh
Computational and Statistical Tradeoffs in Learning to Rank. NIPS (2016)
Ashish Khetan, Sewoong Oh
Reliable Crowdsourcing under the Generalized Dawid-Skene Model. CoRR (2016)
Ashish Khetan, Sewoong Oh
Data-driven Rank Breaking for Efficient Rank Aggregation. ICML (2016)
Ashish Khetan, Sewoong Oh
Achieving budget-optimality with adaptive schemes in crowdsourcing. NIPS (2016)
Ashish Khetan, Sewoong Oh
Data-driven Rank Breaking for Efficient Rank Aggregation. J. Mach. Learn. Res. 17 (2016)
Ashish Khetan, Sewoong Oh
Data-driven Rank Breaking for Efficient Rank Aggregation. CoRR (2016)
Ashish Khetan, Sewoong Oh
Computational and Statistical Tradeoffs in Learning to Rank. CoRR (2016)