Anoop Deoras

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #5,332 of 35,345 by trust here, #4,829 by citations
• Natural Language Processing — 29 citations into it; #2,064 of 5,688 by trust here, #1,692 by citations
• Large Language Models — 17 citations into it; #283 of 799 by trust here, #460 by citations
• Model Architectures — 10 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Anoop Deoras trusts overall

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

1. Tomas Mikolov
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Joshua Goodman
5. Holger Schwenk
6. Ilya Sutskever
7. Jeffrey L. Elman
8. Andreas Stolcke
9. David E. Rumelhart
10. Yuhai Wu

Who trusts Anoop Deoras overall

1. Tomas Mikolov
2. Li Deng
3. Yoshua Bengio
4. Edouard Grave
5. Geoffry Zweig
6. Xinlei Chen
7. Armand Joulin
8. Kyunghyun Cho
9. Quoc V. Le
10. Jianfeng Gao

Papers from Anoop Deoras's perspective

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

Their papers

• Strategies for training large scale neural network language models (2011) — 567 citations
• Empirical Evaluation and Combination of Advanced Language Modeling Techniques (2011) — 337 citations
• Application of Deep Belief Networks for Natural Language Understanding (2014) — 457 citations
• Detecting out-of-domain utterances addressed to a virtual personal assistant (2014) — 27 citations
• SUBWORD LANGUAGE MODELING WITH NEURAL NETWORKS (2011)
• RNNLM - Recurrent Neural Network Language Modeling Toolkit (2011) — 332 citations