Jaya Kawale

Global and Planetary Change · 2013–2015

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 36 citations into it
• Artificial Intelligence — 20 citations into it
• Information Systems — 15 citations into it; #2,618 of 8,771 by trust here, #3,402 by citations
• Recommender Systems — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Statistics and Probability — 11 citations into it
• Management Science and Operations Research — 10 citations into it
• Computational Mechanics — 7 citations into it

Whom Jaya Kawale trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ruslan Salakhutdinov
2. Yehuda Koren
3. Andriy Mnih
4. Geoffrey E. Hinton
5. Nicolas Chopin
6. Yoshua Bengio
7. Olivier Chapelle
8. Diederik P. Kingma
9. Radford M. Neal
10. Alex Krizhevsky

Who trusts Jaya Kawale overall

1. Qingyun Wu
2. Hongning Wang
3. Hao Wang
4. Xiangnan He
5. Guanya Shi
6. Daniel Russo
7. Dietmar Jannach
8. Lovedeep Gondara
9. Wonsung Lee
10. Yongfeng Zhang

Papers from Jaya Kawale's perspective

Ordered by how strongly the researchers Jaya Kawale trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient Thompson Sampling for Online Matrix-Factorization Recommendation (2015) — 196 citations
• Deep Collaborative Filtering via Marginalized Denoising Auto-encoder (2015) — 483 citations
• Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques (2014)
• A graph‐based approach to find teleconnections in climate data (2013) — 43 citations