Matej Balog

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #8,596 of 35,345 by trust here, #8,077 by citations

Whom Matej Balog trusts overall

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

1. Rishabh Singh
2. Sumit Gulwani
3. Rastislav Bodík
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Geoffrey Irving
7. Krzysztof Dembczynski
8. Alex Graves
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Matej Balog overall

1. Kevin Ellis
2. Augustus Odena
3. Xinyun Chen
4. Swarat Chaudhuri
5. Richard Shin
6. Neel Kant
7. Tony Beltramelli
8. Rohan Bavishi
9. Maxwell Nye
10. Vijayaraghavan Murali

Papers from Matej Balog's perspective

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

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

Their papers

• DeepCoder: Learning to Write Programs (2016) — 625 citations
• Discovering faster matrix multiplication algorithms with reinforcement learning (2022) — 714 citations