| An effective label noise model for dnn text classification I Jindal, D Pressel, B Lester, M Nokleby arXiv preprint arXiv:1903.07507, 2019 | 52 | 2019 |
| Baseline: A library for rapid modeling, experimentation and development of deep learning algorithms targeting nlp D Pressel, SR Choudhury, B Lester, Y Zhao, M Barta Proceedings of Workshop for NLP Open Source Software (NLP-OSS), 34-40, 2018 | 13 | 2018 |
| Alexa, let’s work together: Introducing the second alexa prize taskbot challenge E Agichtein, M Johnston, A Gottardi, C Flagg, L Vaz, H Shi, D Zhang, ... Alexa Prize TaskBot Challenge 2, 2023 | 12 | 2023 |
| Advancing open domain dialog: The fifth alexa prize socialbot grand challenge M Johnston, C Flagg, A Gottardi, S Sahai, Y Lu, S Sagi, L Dai, P Goyal, ... | 10 | 2023 |
| A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. I Jindal, MS Nokleby, D Pressel, X Chen CVPR Workshops, 64-72, 2019 | 8 | 2019 |
| Alexa, play with robot: Introducing the first alexa prize simbot challenge on embodied ai H Shi, L Ball, G Thattai, D Zhang, L Hu, Q Gao, S Shakiah, X Gao, ... arXiv preprint arXiv:2308.05221, 2023 | 5 | 2023 |
| Advancing conversational task assistance: the second Alexa Prize TaskBot challenge E Agichtein, M Johnston, A Gottardi, L Vaz, C Flagg, Y Lu, S Liu, S Sahai, ... | 5 | 2023 |
| Constrained decoding for computationally efficient named entity recognition taggers B Lester, D Pressel, A Hemmeter, SR Choudhury, S Bangalore arXiv preprint arXiv:2010.04362, 2020 | 5 | 2020 |
| Computationally efficient ner taggers with combined embeddings and constrained decoding B Lester, D Pressel, A Hemmeter, SR Choudhury | 5 | 2001 |
| Lightweight transformers for conversational ai D Pressel, W Liu, M Johnston, M Chen Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 4 | 2022 |
| Intent discovery for enterprise virtual assistants: Applications of utterance embedding and clustering to intent mining M Chen, B Jayakumar, M Johnston, SE Mahmoodi, D Pressel Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 4 | 2022 |
| Multiple word embeddings for increased diversity of representation B Lester, D Pressel, A Hemmeter, SR Choudhury, S Bangalore arXiv preprint arXiv:2009.14394, 2020 | 4 | 2020 |
| Seq-2-seq based refinement of asr output for spoken name capture K Singla, S Jalalvand, YJ Kim, R Price, D Pressel, S Bangalore arXiv preprint arXiv:2203.15833, 2022 | 3 | 2022 |
| Baseline: Strong, Extensible, Reproducible, Deep Learning Baselines for NLP D Pressel, B Lester, SR Choudhury, M Barta, Y Zhao, A Hemmeter | 2 | 2018 |
| Cross-stitched Multi-modal Encoders K Singla, D Pressel, R Price, BS Chinnari, YJ Kim, S Bangalore arXiv preprint arXiv:2204.09227, 2022 | | 2022 |
| Deep Neural Networks for Corrupted Labels I Jindal, M Nokleby, D Pressel, X Chen, H Singh Deep Learning: Concepts and Architectures, 211-235, 2020 | | 2020 |
| Combining pretrained speech and text encoders for spoken language processing K Singla, D Pressel, R Price, M Mehrabani, YJ Kim, S Bangalore | | |
