Chandan K. Reddy
Artificial Intelligence · 2013–2022
A researcher in the Science corpus: 9 papers; trusts 99 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 96 citations into it; #18,982 of 35,345 by trust here, #15,004 by citations
- Statistics and Probability — 51 citations into it; #8,109 of 12,932 by trust here, #8,740 by citations
- Computer Vision and Pattern Recognition — 38 citations into it; #19,209 of 21,575 by trust here, #18,782 by citations
- Natural Language Processing — 36 citations into it
- Information Systems — 29 citations into it; #7,199 of 8,771 by trust here, #4,012 by citations
- Molecular Biology — 24 citations into it
- Signal Processing — 21 citations into it
- Computer Networks and Communications — 17 citations into it
Whom Chandan K. Reddy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Leo Breiman
- Trevor J. Hastie
- David John Cameron MacKay
- Alex Smola
- Geoffrey E. Hinton
- Thomas G. Dietterich
- Bernhard Schölkopf
- Jerome H. Friedman
- Muthu Dayalan
Who trusts Chandan K. Reddy overall
Papers from Chandan K. Reddy's perspective
Ordered by how strongly the researchers Chandan K. Reddy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization (2019) — 15 citations
- A Multi-Task Learning Formulation for Survival Analysis (2016) — 138 citations
- XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence (2022) — 105 citations
- Machine Learning for Survival Analysis (2019) — 441 citations
- Machine Learning for Survival Analysis: A Survey (2017) — 434 citations
- Predicting Complications in Critical Care Using Heterogeneous Clinical Data (2016) — 41 citations
- A survey on platforms for big data analytics (2014) — 447 citations
- UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization (2013) — 306 citations
- Data Clustering (2013) — 403 citations