Bryan Tower

Statistical Learning Theory · 2020–2021

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

• Statistical Learning Theory — 11 citations into it

Whom Bryan Tower trusts

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

1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)
2. Leslie G. Valiant (in Statistical Learning Theory)

Papers from Bryan Tower's perspective

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

1. Gradient-based learning applied to document recognition
2. Attention is All you Need (Neural Information Processing Systems)
3. Learning Multiple Layers of Features from Tiny Images
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
6. Multitask Learning
7. Intriguing properties of neural networks
8. Information Theory: 1948-1998 - Guest Editorial
9. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
10. Overcoming catastrophic forgetting in neural networks

Their papers

• Omnidirectional Transfer for Quasilinear Lifelong Learning (2021)
• A general approach to progressive learning (2020) — 10 citations