Evgenii Zheltonozhskii
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 111 citations into it
- Computer Vision and Pattern Recognition — 61 citations into it
- Model Architectures — 12 citations into it
- Optimization & Training — 8 citations into it
Whom Evgenii Zheltonozhskii trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Geoffrey E. Hinton
- Yann LeCun
- Diederik P. Kingma
- Itay Hubara
- Ilya Sutskever
- Ross B. Girshick
- X. Zhang
Who trusts Evgenii Zheltonozhskii overall
Papers from Evgenii Zheltonozhskii's perspective
Ordered by how strongly the researchers Evgenii Zheltonozhskii trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- StarCoder: may the source be with you! (2023) — 1,263 citations
- UNIQ (2018) — 43 citations
- StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Loss aware post-training quantization (2019) — 206 citations
- NICE: Noise Injection and Clamping Estimation for Neural Network Quantization (2018) — 68 citations