A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. - Ishan Jindal; Matthew S. Nokleby; Daniel Pressel (CVPR Workshops, 2019)

An Effective Label Noise Model for DNN Text Classification. - Ishan Jindal; Daniel Pressel; Brian Lester; Matthew S. Nokleby (NAACL-HLT (1), 2019)

Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers. - Brian Lester; Daniel Pressel; Amy Hemmeter; Sagnik Ray Choudhury; Srinivas Bangalore (EMNLP (Findings), 2020)

Multiple Word Embeddings for Increased Diversity of Representation. - Brian Lester; Daniel Pressel; Amy Hemmeter; Sagnik Ray Choudhury; Srinivas Bangalore (CoRR, 2020)

Seq-2-Seq based Refinement of ASR Output for Spoken Name Capture. - Karan Singla; Shahab Jalalvand; Yeon-Jun Kim; Ryan Price; Daniel Pressel; Srinivas Bangalore (INTERSPEECH, 2022)

Intent Discovery for Enterprise Virtual Assistants: Applications of Utterance Embedding and Clustering to Intent Mining. - Minhua Chen; Badrinath Jayakumar; Michael Johnston; S. Eman Mahmoodi; Daniel Pressel (NAACL-HLT (Industry Papers), 2022)

Lightweight Transformers for Conversational AI. - Daniel Pressel; Wenshuo Liu; Michael Johnston; Minhua Chen (NAACL-HLT (Industry Papers), 2022)

Cross-stitched Multi-modal Encoders. - Karan Singla; Daniel Pressel; Ryan Price; Bhargav Srinivas Chinnari; Yeon-Jun Kim; Srinivas Bangalore (CoRR, 2022)

Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. - Hangjie Shi; Leslie Ball; Govind Thattai; Desheng Zhang; Lucy Hu; Qiaozi Gao; Suhaila Shakiah; Xiaofeng Gao 002; Aishwarya Padmakumar; Bofei Yang; Cadence Chung; Dinakar Guthy; et al. (CoRR, 2023)