Agarwal, Mayank

8 publications

ICLR 2024 An Investigation of Representation and Allocation Harms in Contrastive Learning Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun

NeurIPS 2021 On Sensitivity of Meta-Learning to Support Data Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun

NeurIPSW 2020 Quality Estimation & Interpretability for Code Translation Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael Muller, John Richards, Steven Ross, Justin Weisz

AAAI 2020 TraceHub - A Platform to Bridge the Gap Between State-of-the-Art Time-Series Analytics and Datasets Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni

ICML 2019 Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni

AAAI 2019 CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu

ICLRW 2019 Online Semi-Supervised Learning with Bandit Feedback Mikhail Yurochkin, Sohini Upadhyay, Djallel Bouneffouf, Mayank Agarwal, Yasaman Khazaeni

NeurIPS 2019 Statistical Model Aggregation via Parameter Matching Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang