Jerome T. Connor

Model Architectures · with Atlas · 1991–1994

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 7 citations into it

Whom Jerome T. Connor trusts overall

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

1. Ronald J. Williams
2. David E. Rumelhart
3. David Zipser
4. Geoffrey E. Hinton
5. Jerome H. Friedman
6. Paul J. Werbos

Who trusts Jerome T. Connor overall

1. Nikolaos Kourentzes
2. Kasun Bandara
3. J. Urgen Schmidhuber
4. Yang Gao
5. Christoph Bergmeir
6. Mario Bkassiny
7. Tyler W. Hughes
8. Paulin Coulibaly
9. Guokun Lai
10. Ruofeng Wen

Papers from Jerome T. Connor's perspective

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

1. Learning internal representations by error propagation
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
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

• Recurrent neural networks and robust time series prediction (1994)
• Recurrent Networks and NARMA Modeling (1991)