Randall Balestriero

Artificial Intelligence · with D'souza · 2017–2023

A researcher in the Science corpus: 2 papers; trusts 208 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #19,720 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 33 citations into it; #12,335 of 21,575 by trust here, #20,756 by citations
• Safety, Robustness & Interpretability — 18 citations into it
• Optimization & Training — 16 citations into it
• Model Architectures — 12 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Signal Processing — 5 citations into it

Whom Randall Balestriero trusts overall

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

1. J. Ross Quinlan
2. Yichuan Tang
3. Niko Speybroeck
4. Olcay Boz
5. Douglas M. Hawkins
6. Jennifer A. Hoeting
7. Geoffrey E. Hinton
8. Kaiming He
9. Alex Krizhevsky
10. Mark W. Craven

Who trusts Randall Balestriero overall

1. Nadia Burkart
2. Marco F. Huber
3. Ana Lucic

Papers from Randall Balestriero's perspective

Ordered by how strongly the researchers Randall Balestriero 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling (2023) — 16 citations
• Neural Decision Trees (2017) — 56 citations