Jesse Berent
Artificial Intelligence · 2004–2023
A researcher in the Science corpus: 5 papers; trusts 92 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Model Architectures — 22 citations into it
- Optimization & Training — 14 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Efficiency & Compression — 9 citations into it
- Meta & Continual Learning — 9 citations into it
Whom Jesse Berent trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Marc'Aurelio Ranzato
- Yann LeCun
- Quoc V. Le
- Ronald J. Williams
- Stéphane Mallat
Who trusts Jesse Berent overall
Papers from Jesse Berent's perspective
Ordered by how strongly the researchers Jesse Berent trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Fast Task-Aware Architecture Inference (2019) — 18 citations
- Gumbel-Matrix Routing for Flexible Multi-task Learning (2019) — 13 citations
- Complex wavelets for extended depth‐of‐field: A new method for the fusion of multichannel microscopy images (2004) — 398 citations
- Three Towers: Flexible Contrastive Learning with Pretrained Image Models (2023)
- Routing Networks with Co-training for Continual Learning (2020) — 15 citations