Tajana Šimunić

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 6 papers; trusts 472 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 117 citations into it
• Computer Vision and Pattern Recognition — 105 citations into it
• Representation & Self-Supervised Learning — 65 citations into it
• Meta & Continual Learning — 27 citations into it; #561 of 1,041 by trust here, #409 by citations
• Optimization & Training — 24 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Model Architectures — 13 citations into it
• Reinforcement Learning — 11 citations into it

Whom Tajana Šimunić trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Diederik P. Kingma
7. Ross B. Girshick
8. Ilya Sutskever
9. Andrew Zisserman
10. X. Zhang

Who trusts Tajana Šimunić overall

1. Fei Ye

Papers from Tajana Šimunić's perspective

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

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

Their papers

• SpotTune: Transfer Learning Through Adaptive Fine-Tuning (2018) — 517 citations
• A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning (2019) — 45 citations
• Integrating microsecond circuit switching into the data center (2013) — 396 citations
• Improved Schemes for Episodic Memory-based Lifelong Learning (2019) — 104 citations
• Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient (2019) — 10 citations
• PDRAM: A hybrid PRAM and DRAM main memory system (2009) — 487 citations