A Framework for Automating Decentralized Training of Foundation Models |
Koushik Kar, Tianyi Chen |
Theodoros Salonidis, Parikshit Ram, Nathalie Baracaldo, Yi Zhou |
Deep Causal Representation Learning Towards Generalizable, Explainable, and Fair AI Systems |
Qiang Ji |
Tian Gao, Amit Dhurandhar |
Enhancing Efficiency and Robustness Simultaneously in Processing Deep Neural Networks |
Liu Liu |
Swagath Venkataramani |
Explainable Transfer Learning |
Christopher Sims, James Hendler |
Keerthiram Murugesan, Amit Dhurandhar, Ronny Luss, Pin-Yu Chen |
Fairness Auditor: Stress-testing AI Fairness Methodologies using Synthetic Data |
Kristin Bennett |
Ioana Baldini, Dennis Wei, Jiaming Zeng |
Large-Scale Foundation Acoustic Modeling for Automatic Speech Recognition |
Tianyi Chen, Mei Si |
Xiaodong Cui, Brian Kingsbury, Songtao Lu |
Provably Efficient Reinforcement Learning via Neuro-Symbolic Representations |
Meng Wang, Tianyi Chen |
Miao Liu, Pin-Yu Chen, Songtao Lu, Keerthiram Murugesa, Subhajit Chaudhury |
Quickest Failure Prediction Algorithm for High Dimensional Time Series Data |
Bulent Yener, Ali Tajer |
Kyongmin Yeo, Wesley Gifford |
Robustness of Causal Bandits |
Ali Tajer |
Prasanna Sattigeri, Dennis Wei, Dmitriy Katz-Rogozhnikov |
SafeR: Automating Safe Reinforcement Learning |
Sandipan Mishra, Santiago Paternain, Koushik Kar |
Long Vu, Lan Hoany, Dharmashankar Subramanian |
Structured & Robust Neural Network Pruning on Low-Precision Hardware for Guaranteed Learning Performance for Complex Time-Series Datasets |
Christopher Carothers, Meng Wang |
Kaoutar El Maghraoui, Pin-Yu Chen |