Harsh Dani

Statistics and Probability · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 5 citations into it

Whom Harsh Dani trusts overall

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

1. Yiyuan She
2. Leman Akoglu
3. Xiaowei Xu
4. Kai Yu
5. Fred Morstatter
6. Bryan Perozzi
7. David Roi Hardoon
8. Xiao Huang
9. Geoffrey E. Hinton

Who trusts Harsh Dani overall

1. Jundong Li
2. Seyed Mehran Kazemi
3. Kaize Ding
4. Jürgen Pfeffer
5. Alexandra Olteanu
6. Srijan Kumar
7. Qiaoyu Tan
8. Yixin Liu

Papers from Harsh Dani's perspective

Ordered by how strongly the researchers Harsh Dani 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content (2016) — 25 citations
• Attributed Network Embedding for Learning in a Dynamic Environment (2017) — 394 citations
• Radar: Residual Analysis for Anomaly Detection in Attributed Networks (2017) — 295 citations