Mahesh Joshi

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 8 citations into it; #2,399 of 3,145 by trust here, #2,691 by citations

Whom Mahesh Joshi trusts overall

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

1. Mark Dredze
2. John Blitzer
3. Koby Crammer
4. Hal Daumé Iii
5. Fernando C Pereira
6. Yu Zhang
7. Avishek Saha
8. Alex Kulesza
9. Rong-En Fan
10. Dit-Yan Yeung

Who trusts Mahesh Joshi overall

1. Jason Williams
2. Hyeonseob Nam
3. Garrett Wilson
4. Yongxin Yang
5. Bohyung Han

Papers from Mahesh Joshi's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Multitask Learning
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-Domain Learning: When Do Domains Matter? (2012) — 74 citations