Rahul Potharaju
Artificial Intelligence · 2012–2014
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #24,042 of 35,345 by trust here, #23,731 by citations
- Signal Processing — 21 citations into it; #5,581 of 7,572 by trust here, #2,990 by citations
- Computer Networks and Communications — 18 citations into it; #4,767 of 9,886 by trust here, #2,539 by citations
- Safety, Robustness & Interpretability — 10 citations into it; #1,569 of 2,251 by trust here, #1,907 by citations
- Natural Language Processing — 6 citations into it
Whom Rahul Potharaju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven Bird
- William Enck
- Charu C. Aggarwal
- Ronen Feldman
- Battista Biggio
- Yudong Chen
- Machigar Ongtang
- Blaine Nelson
- Chih-Jen Lin
- Adrienne Porter Felt
Who trusts Rahul Potharaju overall
Papers from Rahul Potharaju's perspective
Ordered by how strongly the researchers Rahul Potharaju trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBSVM: A library for support vector machines
- ImageNet classification with deep convolutional neural networks
- Latent Dirichlet Allocation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- On the Practicality of Integrity Attacks on Document-Level Sentiment Analysis (2014) — 59 citations
- Android permissions: a perspective combining risks and benefits (2012) — 351 citations
- Using probabilistic generative models for ranking risks of Android apps (2012) — 421 citations