Vishwakarma, Harit

19 publications

ICLRW 2025 Prune 'n Predict: Optimizing LLM Decision-Making with Conformal Prediction Harit Vishwakarma, Thomas Cook, Alan Mishler, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh

ICML 2025 Prune ’n Predict: Optimizing LLM Decision-Making with Conformal Prediction Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh

ICML 2025 Rethinking Confidence Scores and Thresholds in Pseudolabeling-Based SSL Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi Gnvv, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala

NeurIPSW 2024 Improving Decision-Making in Open-World Agents with Conformal Prediction and Monty Hall Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh

NeurIPS 2024 OTTER: Effortless Label Distribution Adaptation of Zero-Shot Models Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala

ICMLW 2024 OTTER: Effortless Label Distribution Adaptation of Zero-Shot Models Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala

NeurIPSW 2024 PabLO: Improving Semi-Supervised Learning with Pseudolabeling Optimization Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi Gnvv, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala

NeurIPS 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-Labeling Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak

NeurIPSW 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-Labeling Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi Gnvv, Frederic Sala, Ramya Korlakai Vinayak

AISTATS 2024 Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak

NeurIPSW 2023 Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control Harit Vishwakarma, Heguang Lin, Ramya Vinayak

NeurIPS 2023 Promises and Pitfalls of Threshold-Based Auto-Labeling Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak

NeurIPS 2023 Train 'n Trade: Foundations of Parameter Markets Tzu-Heng Huang, Harit Vishwakarma, Frederic Sala

NeurIPSW 2023 Understanding Threshold-Based Auto-Labeling: The Good, the Bad, and the Terra Incognita Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Vinayak

NeurIPS 2022 Lifting Weak Supervision to Structured Prediction Harit Vishwakarma, Frederic Sala

ICLR 2022 Universalizing Weak Supervision Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Carl Roberts, Frederic Sala

NeurIPS 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos

NeurIPS 2020 Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization Is Sufficient Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris Papailiopoulos

NeurIPS 2019 Quantum Embedding of Knowledge for Reasoning Dinesh Garg, Shajith Ikbal, Santosh K. Srivastava, Harit Vishwakarma, Hima Karanam, L Venkata Subramaniam