Computational and Statistical Tradeoffs in Learning to Rank. - Ashish Khetan; Sewoong Oh (NIPS, 2016)

Achieving budget-optimality with adaptive schemes in crowdsourcing. - Ashish Khetan; Sewoong Oh (NIPS, 2016)

Reliable Crowdsourcing under the Generalized Dawid-Skene Model. - Ashish Khetan; Sewoong Oh (CoRR, 2016)

Data-driven Rank Breaking for Efficient Rank Aggregation. - Ashish Khetan; Sewoong Oh (J. Mach. Learn. Res., 2016)

Matrix Norm Estimation from a Few Entries. - Ashish Khetan; Sewoong Oh (NIPS, 2017)

Learning From Noisy Singly-labeled Data. - Ashish Khetan; Zachary C. Lipton; Animashree Anandkumar (ICLR (Poster), 2018)

Robustness of conditional GANs to noisy labels. - Kiran Koshy Thekumparampil; Ashish Khetan; Zinan Lin 001; Sewoong Oh (NeurIPS, 2018)

Number of Connected Components in a Graph: Estimation via Counting Patterns. - Ashish Khetan; Harshay Shah; Sewoong Oh (CoRR, 2018)

Generalized Rank-Breaking: Computational and Statistical Tradeoffs. - Ashish Khetan; Sewoong Oh (J. Mach. Learn. Res., 2018)

DARC: Differentiable ARchitecture Compression. - Shashank Singh 005; Ashish Khetan; Zohar S. Karnin (CoRR, 2019)

Robust conditional GANs under missing or uncertain labels. - Kiran Koshy Thekumparampil; Sewoong Oh; Ashish Khetan (CoRR, 2019)

Spectrum Estimation from a Few Entries. - Ashish Khetan; Sewoong Oh (J. Mach. Learn. Res., 2019)

schuBERT: Optimizing Elements of BERT. - Ashish Khetan; Zohar S. Karnin (ACL, 2020)

PruneNet: Channel Pruning via Global Importance. - Ashish Khetan; Zohar S. Karnin (CoRR, 2020)

TabTransformer: Tabular Data Modeling Using Contextual Embeddings. - Xin Huang; Ashish Khetan; Milan Cvitkovic; Zohar S. Karnin (CoRR, 2020)

PacGAN: The Power of Two Samples in Generative Adversarial Networks. - Zinan Lin 001; Ashish Khetan; Giulia Fanti; Sewoong Oh (IEEE J. Sel. Areas Inf. Theory, 2020)

TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection. - Vivek Madan; Ashish Khetan; Zohar Karnin (EMNLP (1), 2021)

Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. - Xin Huang; Ashish Khetan; Rene Bidart; Zohar Karnin (ACL (1), 2022)

Improving language models fine-tuning with representation consistency targets. - Anastasia Razdaibiedina; Vivek Madan; Zohar Karnin; Ashish Khetan; Vishaal Kapoor (CoRR, 2022)

Representation Projection Invariance Mitigates Representation Collapse. - Anastasia Razdaibiedina; Ashish Khetan; Zohar Karnin; Daniel Khashabi; Vivek Madan (EMNLP (Findings), 2023)

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)