Christopher M. White
Artificial Intelligence · with Priebe · 2020–2023
A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Representation & Self-Supervised Learning — 36 citations into it
- Natural Language Processing — 15 citations into it
- Statistics and Probability — 15 citations into it
- Model Architectures — 10 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Christopher M. White trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Christopher M. White's perspective
Ordered by how strongly the researchers Christopher M. White trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Multitask Learning
- Intriguing properties of neural networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Information Theory: 1948-1998 - Guest Editorial
Their papers
- A partition-based similarity for classification distributions (2020) — 6 citations
- Discovering a change point in a time series of organoid networks via the iso-mirror (2023)
- Inducing a hierarchy for multi-class classification problems (2021)
- Omnidirectional Transfer for Quasilinear Lifelong Learning (2021)
- Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic (2021)
- Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic (2021)
- A general approach to progressive learning (2020) — 10 citations
- Modern Machine Learning: Partition & Vote (2020)