Dylan Banarse
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 6 papers; trusts 45 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 105 citations into it; #8,851 of 35,345 by trust here, #3,091 by citations
- Computer Vision and Pattern Recognition — 79 citations into it
- Model Architectures — 17 citations into it; #779 of 2,278 by trust here, #343 by citations
- Generative Models — 16 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Reinforcement Learning — 8 citations into it
- Electrical and Electronic Engineering — 6 citations into it; #2,243 of 16,539 by trust here, #1,830 by citations
- Molecular Biology — 6 citations into it
Whom Dylan Banarse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Alex Krizhevsky
- Diederik P. Kingma
- Alex Graves
- Yoshua Bengio
- Kenneth O. Stanley
- J. Urgen Schmidhuber
- Ilya Sutskever
- Kaiming He
Who trusts Dylan Banarse overall
- Rahaf Aljundi
- Zixuan Ke
- Timothée Lesort
- Marc Masana
- Arslan Chaudhry
- Bing Liu
- Arun Mallya
- Tyler L. Hayes
- Mohamed Elhoseiny
- Matthew Riemer
Papers from Dylan Banarse's perspective
Ordered by how strongly the researchers Dylan Banarse 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)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- PathNet: Evolution Channels Gradient Descent in Super Neural Networks (2017) — 965 citations
- Convolution by Evolution: Differentiable Pattern Producing Networks (2016) — 106 citations
- Perception Test: A Diagnostic Benchmark for Multimodal Video Models (2023) — 350 citations
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution (2023) — 525 citations
- CLIP-CLOP: CLIP-Guided Collage and Photomontage (2022) — 18 citations
- Generative Art Using Neural Visual Grammars and Dual Encoders (2021) — 14 citations