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Ashish Khetan
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2020 – today
- 2023
- [c11]Anastasia Razdaibiedina, Ashish Khetan, Zohar Karnin, Daniel Khashabi, Vivek Madan:
Representation Projection Invariance Mitigates Representation Collapse. EMNLP (Findings) 2023: 14638-14664 - 2022
- [c10]Xin Huang, Ashish Khetan, Rene Bidart, Zohar Karnin:
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. ACL (1) 2022: 8798-8817 - [i15]Xin Huang, Ashish Khetan, Rene Bidart, Zohar Karnin:
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. CoRR abs/2203.14380 (2022) - [i14]Anastasia Razdaibiedina, Vivek Madan, Zohar Karnin, Ashish Khetan, Vishaal Kapoor:
Improving language models fine-tuning with representation consistency targets. CoRR abs/2205.11603 (2022) - 2021
- [c9]Vivek Madan, Ashish Khetan, Zohar Karnin:
TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection. EMNLP (1) 2021: 5732-5746 - 2020
- [j4]Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh:
PacGAN: The Power of Two Samples in Generative Adversarial Networks. IEEE J. Sel. Areas Inf. Theory 1(1): 324-335 (2020) - [c8]Ashish Khetan, Zohar S. Karnin:
schuBERT: Optimizing Elements of BERT. ACL 2020: 2807-2818 - [i13]Ashish Khetan, Zohar S. Karnin:
schuBERT: Optimizing Elements of BERT. CoRR abs/2005.06628 (2020) - [i12]Ashish Khetan, Zohar S. Karnin:
PruneNet: Channel Pruning via Global Importance. CoRR abs/2005.11282 (2020) - [i11]Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin:
TabTransformer: Tabular Data Modeling Using Contextual Embeddings. CoRR abs/2012.06678 (2020)
2010 – 2019
- 2019
- [j3]Ashish Khetan, Sewoong Oh:
Spectrum Estimation from a Few Entries. J. Mach. Learn. Res. 20: 21:1-21:55 (2019) - [i10]Shashank Singh, Ashish Khetan, Zohar S. Karnin:
DARC: Differentiable ARchitecture Compression. CoRR abs/1905.08170 (2019) - [i9]Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan:
Robust conditional GANs under missing or uncertain labels. CoRR abs/1906.03579 (2019) - 2018
- [j2]Ashish Khetan, Sewoong Oh:
Generalized Rank-Breaking: Computational and Statistical Tradeoffs. J. Mach. Learn. Res. 19: 28:1-28:42 (2018) - [c7]Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar:
Learning From Noisy Singly-labeled Data. ICLR (Poster) 2018 - [c6]Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh:
PacGAN: The power of two samples in generative adversarial networks. NeurIPS 2018: 1505-1514 - [c5]Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh:
Robustness of conditional GANs to noisy labels. NeurIPS 2018: 10292-10303 - [i8]Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh:
Robustness of Conditional GANs to Noisy Labels. CoRR abs/1811.03205 (2018) - [i7]Ashish Khetan, Harshay Shah, Sewoong Oh:
Number of Connected Components in a Graph: Estimation via Counting Patterns. CoRR abs/1812.00139 (2018) - 2017
- [c4]Ashish Khetan, Sewoong Oh:
Matrix Norm Estimation from a Few Entries. NIPS 2017: 6424-6433 - [i6]Ashish Khetan, Sewoong Oh:
Spectrum Estimation from a Few Entries. CoRR abs/1703.06327 (2017) - [i5]Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh:
PacGAN: The power of two samples in generative adversarial networks. CoRR abs/1712.04086 (2017) - [i4]Ashish Khetan, Zachary C. Lipton, Anima Anandkumar:
Learning From Noisy Singly-labeled Data. CoRR abs/1712.04577 (2017) - 2016
- [j1]Ashish Khetan, Sewoong Oh:
Data-driven Rank Breaking for Efficient Rank Aggregation. J. Mach. Learn. Res. 17: 193:1-193:54 (2016) - [c3]Ashish Khetan, Sewoong Oh:
Data-driven Rank Breaking for Efficient Rank Aggregation. ICML 2016: 89-98 - [c2]Ashish Khetan, Sewoong Oh:
Computational and Statistical Tradeoffs in Learning to Rank. NIPS 2016: 739-747 - [c1]Ashish Khetan, Sewoong Oh:
Achieving budget-optimality with adaptive schemes in crowdsourcing. NIPS 2016: 4844-4852 - [i3]Ashish Khetan, Sewoong Oh:
Data-driven Rank Breaking for Efficient Rank Aggregation. CoRR abs/1601.05495 (2016) - [i2]Ashish Khetan, Sewoong Oh:
Reliable Crowdsourcing under the Generalized Dawid-Skene Model. CoRR abs/1602.03481 (2016) - [i1]Ashish Khetan, Sewoong Oh:
Computational and Statistical Tradeoffs in Learning to Rank. CoRR abs/1608.06203 (2016)
Coauthor Index
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