Shah, Ankit

12 publications

ICLRW 2025 Did You Hear That? Introducing AADG: A Framework for Generating Benchmark Data in Audio Anomaly Detection Ksheeraja Raghavan, Samiran Gode, Ankit Shah, Surabhi Raghavan, Wolfram Burgard, Bhiksha Raj, Rita Singh

ICLR 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

ICLR 2025 LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei

NeurIPS 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

ICLR 2024 Understanding and Mitigating the Label Noise in Pre-Training on Downstream Tasks Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj

NeurIPSW 2023 Exploiting Contextual Structure to Generate Useful Auxiliary Tasks Benedict Quartey, Ankit Shah, George Konidaris

CoRL 2023 Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments Jason Xinyu Liu, Ziyi Yang, Ifrah Idrees, Sam Liang, Benjamin Schornstein, Stefanie Tellex, Ankit Shah

CoRL 2022 Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah

AAAI 2021 Bayes-TrEx: A Bayesian Sampling Approach to Model Transparency by Example Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah

IJCAI 2019 Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah

IJCAI 2019 Learning Sound Events from Webly Labeled Data Anurag Kumar, Ankit Shah, Alexander G. Hauptmann, Bhiksha Raj

NeurIPS 2018 Bayesian Inference of Temporal Task Specifications from Demonstrations Ankit Shah, Pritish Kamath, Julie A Shah, Shen Li