Valeriia Cherepanova

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it

Whom Valeriia Cherepanova trusts overall

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

1. Geoffrey E. Hinton

Papers from Valeriia Cherepanova's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
9. Language Models are Unsupervised Multitask Learners
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks (2020) — 83 citations
• Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text (2024) — 325 citations