Daphna Buchsbaum

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it

Whom Daphna Buchsbaum trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. T. Griffiths
2. Josh Tenenbaum
3. Alison Gopnik
4. Gergely Csibra
5. György Gergely
6. David M. Sobel
7. Clark Glymour
8. Nir Vulkan
9. József Fiser
10. Laura Schulz

Who trusts Daphna Buchsbaum overall

1. Ryo Nakahashi
2. Chris L. Baker

Papers from Daphna Buchsbaum's perspective

Ordered by how strongly the researchers Daphna Buchsbaum trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Inferring action structure and causal relationships in continuous sequences of human action. (2015) — 49 citations
• Children's imitation of causal action sequences is influenced by statistical and pedagogical evidence. (2011) — 221 citations