Daniel Pressel

According to our database, Daniel Pressel authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav S. Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tur, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan

CoRR, 2023

2022

Cross-stitched Multi-modal Encoders.

Karan Singla, Daniel Pressel, Ryan Price, Bhargav Srinivas Chinnari, Yeon-Jun Kim, Srinivas Bangalore

CoRR, 2022

Lightweight Transformers for Conversational AI.

Daniel Pressel, Wenshuo Liu, Michael Johnston, Minhua Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

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

Proceedings of the Interspeech 2022, 2022

2020

Multiple Word Embeddings for Increased Diversity of Representation.

Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore

CoRR, 2020

Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers.

Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

An Effective Label Noise Model for DNN Text Classification.

Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels.

Ishan Jindal, Matthew S. Nokleby, Daniel Pressel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019