David M. Chan
According to our database1,
David M. Chan
authored at least 37 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2005
2010
2015
2020
0
5
10
15
4
2
1
1
2
2
1
1
9
3
5
2
3
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition.
CoRR, 2023
Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022
2021
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery.
CoRR, 2021
2020
CoRR, 2020
Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
J. Parallel Distributed Comput., 2019
CoRR, 2019
2018
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics.
CoRR, 2018
Proceedings of the Eleventh International Symposium on Combinatorial Search, 2018
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
2017
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
2004
Probabilities of extinction, weak extinction, permanence, and mutual exclusion in discrete, competitive, Lotka-Volterra systems that involve invading species.
Math. Comput. Model., 2004