Abulhair Saparov
Artificial Intelligence · 2012–2022
A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #21,680 of 35,345 by trust here, #6,103 by citations
- Computer Vision and Pattern Recognition — 26 citations into it; #19,014 of 21,575 by trust here, #20,271 by citations
- Natural Language Processing — 22 citations into it
- Computational Mechanics — 12 citations into it; #8,785 of 10,001 by trust here, #8,947 by citations
- Prompting & Reasoning — 12 citations into it
- Computer Graphics and Computer-Aided Design — 9 citations into it
Whom Abulhair Saparov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Aaron Edward Weston
- Gregor Betz
- Oyvind Tafjord
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoshua Bengio
- Diederik P. Kingma
- Xuezhi Wang
- J. Urgen Schmidhuber
- Alex Krizhevsky
Who trusts Abulhair Saparov overall
- Banghao Chen
- Seyed Mehran Kazemi
- Shibo Hao
- Zhaofeng Zhang
- Ameesh Makadia
- Najoung Kim
- Jie Huang
- Yi Gu
- Nicolas Langren'e
Papers from Abulhair Saparov's perspective
Ordered by how strongly the researchers Abulhair Saparov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Never-Ending Learning (2015) — 1,135 citations
- Schelling points on 3D surface meshes (2012) — 140 citations
- Jelly Bean World: A Testbed for Never-Ending Learning (2020) — 27 citations
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought (2022) — 512 citations