Phillip Howard
Phillip Howard
AI Research Scientist, Intel Labs
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Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study
GA Lujan-Moreno, PR Howard, OG Rojas, DC Montgomery
Expert Systems with Applications 109, 195-205, 2018
Tempoqr: temporal question reasoning over knowledge graphs
C Mavromatis, PL Subramanyam, VN Ioannidis, A Adeshina, PR Howard, ...
Proceedings of the AAAI conference on artificial intelligence 36 (5), 5825-5833, 2022
Neurocounterfactuals: Beyond minimal-edit counterfactuals for richer data augmentation
P Howard, G Singer, V Lal, Y Choi, S Swayamdipta
arXiv preprint arXiv:2210.12365, 2022
InterpreT: An interactive visualization tool for interpreting transformers
V Lal, A Ma, E Aflalo, P Howard, A Simoes, D Korat, O Pereg, G Singer, ...
Proceedings of the 16th Conference of the European Chapter of the …, 2021
Distinct variation pattern discovery using alternating nonlinear principal component analysis
P Howard, DW Apley, G Runger
IEEE transactions on neural networks and learning systems 29 (1), 156-166, 2016
Identifying nonlinear variation patterns with deep autoencoders
P Howard, DW Apley, G Runger
IISE Transactions 50 (12), 1089-1103, 2018
Cross-domain aspect extraction using transformers augmented with knowledge graphs
P Howard, A Ma, V Lal, AP Simoes, D Korat, O Pereg, M Wasserblat, ...
Proceedings of the 31st acm international conference on information …, 2022
Coco-counterfactuals: Automatically constructed counterfactual examples for image-text pairs
T Le, V Lal, P Howard
Advances in Neural Information Processing Systems 36, 2024
Neurocomparatives: Neuro-symbolic distillation of comparative knowledge
P Howard, J Wang, V Lal, G Singer, Y Choi, S Swayamdipta
arXiv preprint arXiv:2305.04978, 2023
Fusing temporal graphs into transformers for time-sensitive question answering
X Su, P Howard, N Hakim, S Bethard
arXiv preprint arXiv:2310.19292, 2023
Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
P Howard, A Madasu, T Le, GL Moreno, A Bhiwandiwalla, V Lal
arXiv preprint arXiv:2312.00825, 2023
Probing intersectional biases in vision-language models with counterfactual examples
P Howard, A Madasu, T Le, GL Moreno, V Lal
arXiv preprint arXiv:2310.02988, 2023
Uncovering Bias in Large Vision-Language Models with Counterfactuals
P Howard, A Bhiwandiwalla, KC Fraser, S Kiritchenko
arXiv preprint arXiv:2404.00166, 2024
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
S Rosenman, V Lal, P Howard
arXiv preprint arXiv:2311.12229, 2023
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
X Su, T Le, S Bethard, P Howard
arXiv preprint arXiv:2311.08505, 2023
Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding
G Singer, J Bach, T Grinberg, N Hakim, PR Howard, V Lal, Z Rivlin
International Conference on Artificial General Intelligence, 404-412, 2022
Methods and apparatus for a knowledge-based deep learning refactoring model with tightly integrated functional nonparametric memory
G Singer, N Hakim, P Howard, D Korat, LAL Vasudev, A Ma, E Norden, ...
US Patent App. 17/549,645, 2022
Distinct feature learning and nonlinear variation pattern discovery using regularized autoencoders
P Howard
Arizona State University, 2016
P Howard, G Singer, V Lal, Y Choi, S Swayamdipta
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