Publication S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi September 2023 Project
Publication Investigating self-supervised learning for predicting stress and stressors from passive sensing Harish Haresamudram, Jina Suh, Javier Hernandez, Jenna Butler, Ahad Chaudhry, Longqi Yang, Koustuv Saha, Mary Czerwinski September 2023
Publication Effective Self-supervised Pre-training on Low-compute networks without Distillation Fuwen Tan, Fatemeh Saleh, Brais Martínez ICLR 2023 | September 2023
Publication PwR: Exploring the Role of Representations in Conversational Programming Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani September 2023 Github Project Project
Publication Robust Situational Reinforcement Learning in Face of Context Disturbances Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian Proceedings of the 40th International Conference on Machine Learning (ICML) | September 2023
Publication Efficient Subgame Refinement for Extensive-form Games Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao NeurIPS 2023 | September 2023
Publication Towards Successful Deployment of Wellbeing Sensing Technologies: Identifying Misalignments across Contextual Boundaries Jina Suh, Javier Hernandez, Koustuv Saha, Kathy Dixon, Mehrab Bin Morshed, Esther Howe, Anna Kawakami, Mary Czerwinski ACII 2023 International Workshop on Affective Computing for Mental Wellbeing | September 2023 Project
Publication PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan September 2023
Publication Coconut Tree Detection Using Deep Learning Models Deepthi Sudharsan Innovations in Machine and Deep Learning: Case Studies and Applications | Published by Springer Nature Switzerland | 2023, Vol 134 ISBN: 978-3-031-40688-1
Publication Learning Pareto-Optimal Policies for Multi-Objective Joint Distribution Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens NeurIPS 2023 | September 2023