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Forough Arabshahi
Forough Arabshahi
Research Scientist, Meta
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Titel
Zitiert von
Zitiert von
Jahr
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs
F Arabshahi, S Singh, A Anandkumar
2018 International Conference on Learning Representations (ICLR), 2018
492018
Conversational Neuro-Symbolic Commonsense Reasoning
F Arabshahi, J Lee, M Gawarecki, K Mazaitis, A Azaria, T Mitchell
AAAI Conference on Artificial Intelligence 35 (No. 6: AAAI-21 Technical …, 2021
442021
Spectral Methods for Correlated Topic Models
F Arabshahi, A Anandkumar
Proceedings of the 20th International Conference on Artificial Intelligence …, 2017
15*2017
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
F Arabshahi, J Lee, A Bosselut, Y Choi, T Mitchell
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
142021
Memory Augmented Recursive Neural Networks
F Arabshahi, Z Lu, S Singh, A Anandkumar
arXiv preprint arXiv:1911.01545, 2019
92019
Towards Solving Differential Equations through Neural Programming
F Arabshahi, S Singh, A Anandkumar
92018
A frequency domain MVDR beamformer for UWB microwave breast cancer imaging in dispersive mediums
F Arabshahi, S Monajemi, H Sheikhzadeh, K Raahemifar, R Faraji-Dana
IEEE International Symposium on Signal Processing and Information Technology …, 2013
92013
Are you going to the party: Depends, who else is coming?:[Learning hidden group dynamics via conditional latent tree models]
F Arabshahi, F Huang, A Anandkumar, CT Butts, SM Fitzhugh
2015 IEEE International Conference on Data Mining, 697-702, 2015
72015
Dividing and conquering a blackbox to a mixture of interpretable models: route, interpret, repeat
S Ghosh, K Yu, F Arabshahi, K Batmanghelich
Proceedings of the... International Conference on Machine Learning …, 2023
52023
Compositional generalization with tree stack memory units
F Arabshahi, Z Lu, P Mundra, S Singh, A Anandkumar
arXiv preprint arXiv:1911.01545, 2019
52019
Look-up and Adapt: A One-shot Semantic Parser
Z Lu, F Arabshahi, I Labutov, T Mitchell
2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
52019
Augmentation by Counterfactual Explanation-Fixing an Overconfident Classifier
S Singla, N Murali, F Arabshahi, S Triantafyllou, K Batmanghelich
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
22023
Route, Interpret, Repeat: Blurring the line between post hoc explainability and interpretable models
S Ghosh, K Yu, F Arabshahi, K Batmanghelich
arXiv preprint arXiv:2307.05350, 2023
12023
Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models
S Ghosh, K Yu, F Arabshahi, K Batmanghelich
arXiv preprint arXiv:2302.10289, 2023
12023
Autonlu: Detecting, root-causing, and fixing nlu model errors
P Sethi, D Savenkov, F Arabshahi, J Goetz, M Tolliver, N Scheffer, I Kabul, ...
arXiv preprint arXiv:2110.06384, 2021
12021
Conversational Learning
F Arabshahi, K Mazaitis, TJJ Li, BA Myers, T Mitchell
12020
Dividing and conquering a BlackBox to a mixture of interpretable models: route, interpret, repeat
K Batmanghelich, S Ghosh, K Yu, F Arabshahi
2023
Bridging the Gap: From Post Hoc Explanations to Inherently Interpretable Models for Medical Imaging
S Ghosh, K Yu, F Arabshahi
ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023
2023
Learning Latent Hierarchical Structures via Probabilistic Models and Deep Learning
F Arabshahi
University of California, Irvine, 2018
2018
Predictive Modeling in Online Learning Environments
F Arabshahi, F Huang, A Anandkumar, CT Butts
2015
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