Reddi, Vijay Janapa

10 publications

NeurIPS 2025 Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi, Guido De Croon

NeurIPSW 2024 Advancing Neuromorphic Computing Algorithms and Systems with NeuroBench Jason Yik, Charlotte Frenkel, Vijay Janapa Reddi

DMLR 2024 DMLR: Data-Centric Machine Learning Research - Past, Present and Future Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlaš, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

NeurIPSW 2024 Lexically-Constrained Automated Prompt Augmentation: A Case Study Using Adversarial T2I Data Jessica Quaye, Alicia Parrish, Oana Inel, Minsuk Kahng, Charvi Rastogi, Hannah Rose Kirk, Jess Tsang, Nathan L Clement, Rafael Mosquera, Juan Manuel Ciro, Vijay Janapa Reddi, Lora Aroyo

TMLR 2024 Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference Max Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks

NeurIPS 2023 DataPerf: Benchmarks for Data-Centric AI Development Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Y Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

TMLR 2022 QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-maron, Aleksandra Faust, Vijay Janapa Reddi

NeurIPS 2022 The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World William Gaviria Rojas, Sudnya Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi, Cody Coleman

MLJ 2021 Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi

ICML 2021 Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher