Denis Kuznedelev
Artificial Intelligence · 2023
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Efficiency & Compression — 15 citations into it
- Graph Learning — 11 citations into it
- Optimization & Training — 7 citations into it
Whom Denis Kuznedelev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Jimmy Ba
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Jure Leskovec
- Ilya Sutskever
- Yann LeCun
- Max Welling
Papers from Denis Kuznedelev's perspective
Ordered by how strongly the researchers Denis Kuznedelev trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression (2023) — 444 citations
- A critical look at the evaluation of GNNs under heterophily: are we really making progress? (2023) — 413 citations