Andrew B. Leach

Trans. Mach. Learn. Res. · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Andrew B. Leach trusts overall

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

1. Martín Abadi
2. Ed McKenzie
3. Diederik P. Kingma

Papers from Andrew B. Leach's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Long-term Forecasting with TiDE: Time-series Dense Encoder (2023) — 600 citations