David Munechika

Annual Meeting of the Association for Computational Linguistics · 2022

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David Munechika trusts overall

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

1. Bernard Walter Silverman
2. Geoffrey E. Hinton

Who trusts David Munechika overall

1. Xiaoshi Wu

Papers from David Munechika's perspective

Ordered by how strongly the researchers David Munechika 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Visualizing Data using t-SNE
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models (2022) — 493 citations