Fred Zhang
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Scaling & Learning Theory — 19 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Fred Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Fred Zhang's perspective
Ordered by how strongly the researchers Fred Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Understanding the difficulty of training deep feedforward neural networks
- Identity Mappings in Deep Residual Networks
- Understanding deep learning requires rethinking generalization
- Speech recognition with deep recurrent neural networks
- Mastering the game of Go with deep neural networks and tree search
- Train faster, generalize better: Stability of stochastic gradient descent
- On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
- Spectrally-normalized margin bounds for neural networks
Their papers
- SGD on Neural Networks Learns Functions of Increasing Complexity (2019) — 301 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations