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John F. Canny
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Publications
- 2024
- [c189]David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny:
Distribution Aware Metrics for Conditional Natural Language Generation. LREC/COLING 2024: 5064-5095 - [c187]Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph Gonzalez, Trevor Darrell:
ALOHa: A New Measure for Hallucination in Captioning Models. NAACL (Short Papers) 2024: 342-357 - [i43]Suzanne Petryk, David M. Chan
, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph E. Gonzalez, Trevor Darrell:
ALOHa: A New Measure for Hallucination in Captioning Models. CoRR abs/2404.02904 (2024) - 2023
- [c185]Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Emily Rose Reagan, John F. Canny, Alison Gopnik:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CogSci 2023 - [c183]David M. Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny:
CLAIR: Evaluating Image Captions with Large Language Models. EMNLP 2023: 13638-13646 - [i41]David M. Chan
IC3: Image Captioning by Committee Consensus. CoRR abs/2302.01328 (2023) - [i40]David M. Chan
CLAIR: Evaluating Image Captions with Large Language Models. CoRR abs/2310.12971 (2023) - 2022
- [c180]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR 2022: 390-406 - [c179]David M. Chan
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CVPR Workshops 2022: 4739-4748 - [i38]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR abs/2202.10430 (2022) - [i37]David M. Chan
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CoRR abs/2205.06253 (2022) - [i36]Eliza Kosoy, David M. Chan
Towards Understanding How Machines Can Learn Causal Overhypotheses. CoRR abs/2206.08353 (2022) - [i33]David M. Chan
Distribution Aware Metrics for Conditional Natural Language Generation. CoRR abs/2209.07518 (2022) - 2020
- [c174]David M. Chan
Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. ACCV (5) 2020: 443-459 - [i26]Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny:
Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR abs/2005.02880 (2020) - [i24]Bofan Xue, David M. Chan, John F. Canny:
A Dataset and Benchmarks for Multimedia Social Analysis. CoRR abs/2006.08335 (2020) - [i22]David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. CoRR abs/2007.13913 (2020) - 2019
- [j44]David M. Chan
GPU accelerated t-distributed stochastic neighbor embedding. J. Parallel Distributed Comput. 131: 1-13 (2019) - [i16]Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny:
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations. CoRR abs/1910.12154 (2019) - 2018
- [c154]David M. Chan
T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data. SBAC-PAD 2018: 330-338 - [i12]David M. Chan, Roshan Rao, Forrest Huang, John F. Canny:
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data. CoRR abs/1807.11824 (2018) - [i9]Biye Jiang, David M. Chan, Tianhao Zhang, John F. Canny:
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics. CoRR abs/1812.04604 (2018)
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