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Jayanth Koushik
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Year
Understanding convolutional neural networks
J Koushik
arXiv preprint arXiv:1605.09081, 2016
2662016
Deep Multimodal Fusion for Persuasiveness Prediction
B Nojavanasghari, D Gopinath, J Koushik, T Baltrušaitis, LP Morency
2472016
A brain phenotype for stressor‐evoked blood pressure reactivity
PJ Gianaros, LK Sheu, F Uyar, J Koushik, JR Jennings, TD Wager, ...
Journal of the American Heart Association 6 (9), e006053, 2017
682017
Hypothesis transfer learning via transformation functions
SS Du, J Koushik, A Singh, B Póczos
Advances in neural information processing systems 30, 2017
662017
Eve: A gradient based optimization method with locally and globally adaptive learning rates
H Hayashi, J Koushik, G Neubig
arXiv preprint arXiv:1611.01505, 2016
44*2016
Deep learning powered real-time identification of insects using citizen science data
S Chiranjeevi, M Sadaati, ZK Deng, J Koushik, TZ Jubery, D Mueller, ...
arXiv preprint arXiv:2306.02507, 2023
52023
Alpha net: Adaptation with composition in classifier space
N Chang, J Koushik, M Tarr, M Hebert, YX Wang
22020
Fundamentals of MRI and Neuroimaging Analysis Final Project
LW DiBeneditto, WJ Linn, S Ahmed, L Zhou, D Acharya, J Koushik, ...
2022
AlphaNet: Improving Long-Tail Classification By Combining Classifiers
N Chang, J Koushik, A Singh, M Hebert, YX Wang, MJ Tarr
arXiv preprint arXiv:2008.07073, 2020
2020
Real-time Optimization for Visual Feature Identification
J Koushik, A Marcus, A Singh, M Tarr
Journal of Vision 18 (10), 413-413, 2018
2018
Hypothesis Transfer Learning via Transformation Functions
S Shaolei Du, J Koushik, A Singh, B Poczos
arXiv e-prints, arXiv: 1612.01020, 2016
2016
Deep Black-Box Optimization with Influence Functions
J Koushik, MJ Tarr, A Singh
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Articles 1–12