Understanding convolutional neural networks J Koushik arXiv preprint arXiv:1605.09081, 2016 | 270 | 2016 |
Deep Multimodal Fusion for Persuasiveness Prediction B Nojavanasghari, D Gopinath, J Koushik, T Baltrušaitis, LP Morency | 249 | 2016 |
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 | 68 | 2017 |
Hypothesis transfer learning via transformation functions SS Du, J Koushik, A Singh, B Póczos Advances in neural information processing systems 30, 2017 | 67 | 2017 |
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 | 6 | 2023 |
Alpha net: Adaptation with composition in classifier space N Chang, J Koushik, M Tarr, M Hebert, YX Wang | 2 | 2020 |
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 | | |