Nori, Aditya

1. Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
   2023/01/11 by Shruthi Bannur, Bannur, Shruthi, Stephanie L. Hyland +29 · 43 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Multimodal Machine Learning Applications #Topic Modeling #Biomedical Text Mining and Ontologies
2. Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
   2016/12/28 by Konstantinos Kamnitsas, Christian F. Baumgartner, Kamnitsas, Konstantinos +19 · 10 citations
   Computer Science · Medicine · #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
3. Measuring Neural Net Robustness with Constraints
   2016/05/24 by Bastani, Osbert, Ioannou, Yani, Lampropoulos, Leonidas +3 · 7 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
4. Repairing Neural Networks by Leaving the Right Past Behind
   2022/07/11 by Tanno, Ryutaro, Pradier, Melanie F., Nori, Aditya +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Adaptive Neural Trees
   2018/07/17 by Ryutaro Tanno, Kai Arulkumaran, Tanno, Ryutaro +7 · 2 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
6. Semi-Supervised Learning via Compact Latent Space Clustering
   2018/06/07 by Kamnitsas, Konstantinos, Castro, Daniel C., Folgoc, Loic Le +6 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
7. Overfitting in Synthesis: Theory and Practice (Extended Version)
   2019/05/17 by Saswat Padhi, Todd Millstein, Padhi, Saswat +5 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Software Engineering Research #Software Testing and Debugging Techniques
8. Alleviating Privacy Attacks via Causal Learning
   2019/09/27 by Tople, Shruti, Sharma, Amit, Nori, Aditya · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)