Benjamin Bolte
Artificial Intelligence · 2021
A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 142 citations into it; #5,429 of 35,345 by trust here, #4,577 by citations
- Signal Processing — 93 citations into it; #872 of 7,572 by trust here, #433 by citations
- Speech & Audio — 79 citations into it; #241 of 1,076 by trust here, #179 by citations
- Representation & Self-Supervised Learning — 60 citations into it; #989 of 3,145 by trust here, #811 by citations
- Natural Language Processing — 42 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it; #21,358 of 21,575 by trust here, #9,079 by citations
- Evaluation & Benchmarks — 9 citations into it
Whom Benjamin Bolte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexei Baevski
- Diederik P. Kingma
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Jimmy Ba
- Alex Krizhevsky
- Ilya Sutskever
- Aäron van den Oord
Who trusts Benjamin Bolte overall
- Wei-Ning Hsu
- Rongjie Huang
- Evgeny Kharitonov
- Ann Lee
- Tu Nguyen
- Zi-Hua Zhang
- Dong Zhang
- Sanyuan Chen
- Dongchao Yang
- Bowen Shi
Papers from Benjamin Bolte's perspective
Ordered by how strongly the researchers Benjamin Bolte trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- On Generative Spoken Language Modeling from Raw Audio (2021) — 483 citations
- HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units (2021) — 4,844 citations
- Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? (2021) — 184 citations