Ilia Sucholutsky
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #16,879 of 35,345 by trust here, #27,551 by citations
- Natural Language Processing — 17 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Generative Models — 6 citations into it
- Efficiency & Compression — 5 citations into it
- Model Architectures — 5 citations into it
Whom Ilia Sucholutsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Sepp Hochreiter
- Richard Socher
- Diederik P. Kingma
- Xavier Glorot
- J. Urgen Schmidhuber
- Ilya Sutskever
Who trusts Ilia Sucholutsky overall
- Bo Zhao
- Ondrej Bohdal
- Hakan Bilen
- George Cazenavette
- Yanlin Zhou
- Yongxin Yang
- Timothy Nguyen
- Tongzhou Wang
- George Pu
- Timothy M. Hospedales
Papers from Ilia Sucholutsky's perspective
Ordered by how strongly the researchers Ilia Sucholutsky trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Soft-Label Dataset Distillation and Text Dataset Distillation (2019) — 162 citations
- GPT is an effective tool for multilingual psychological text analysis (2024) — 369 citations