David M. Chan

According to our database1, David M. Chan authored at least 37 papers between 2004 and 2024.

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
Other 

Links

On csauthors.net:

Bibliography

2024
Analyzing The Language of Visual Tokens.
CoRR, 2024

CLAIR-A: Leveraging Large Language Models to Judge Audio Captions.
CoRR, 2024

Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors.
CoRR, 2024

Visual Haystacks: Answering Harder Questions About Sets of Images.
CoRR, 2024

ALOHa: A New Measure for Hallucination in Captioning Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems.
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

Anim-400K: A Large-Scale Dataset for Automated End to End Dubbing of Video.
Proceedings of the IEEE International Conference on Acoustics, 2024

Virtual Personas for Language Models via an Anthology of Backstories.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

See, Say, and Segment: Teaching LMMs to Overcome False Premises.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Distribution Aware Metrics for Conditional Natural Language Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
IC<sup>3</sup>: Image Captioning by Committee Consensus.
CoRR, 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

CLAIR: Evaluating Image Captions with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Understanding How Machines Can Learn Causal Overhypotheses.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Towards Understanding How Machines Can Learn Causal Overhypotheses.
CoRR, 2022

Content-Context Factorized Representations for Automated Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Multi-Modal Pre-Training for Automated Speech Recognition.
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
A Dataset and Benchmarks for Multimedia Social Analysis.
CoRR, 2020

Exploring Exploration: Comparing Children with RL Agents in Unified Environments.
CoRR, 2020

Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Active Learning for Video Description with Cluster-Regularized Ensemble Ranking.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
GPU accelerated t-distributed stochastic neighbor embedding.
J. Parallel Distributed Comput., 2019

ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations.
CoRR, 2019

2018
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics.
CoRR, 2018

Rapid Randomized Restarts for Multi-Agent Path Finding Solvers.
Proceedings of the Eleventh International Symposium on Combinatorial Search, 2018

T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Rapid Randomized Restarts for Multi-Agent Path Finding: Preliminary Results.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding.
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


  Loading...