Mert Yuksekgonul
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 5 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 126 citations into it
- Computer Vision and Pattern Recognition — 83 citations into it
- Evaluation & Benchmarks — 36 citations into it
- Representation & Self-Supervised Learning — 27 citations into it
- Safety, Robustness & Interpretability — 27 citations into it
- Model Architectures — 9 citations into it
Whom Mert Yuksekgonul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Christian Szegedy
- Jia Deng
- Tsung-Yi Lin
- Ross B. Girshick
- Yann LeCun
Who trusts Mert Yuksekgonul overall
Papers from Mert Yuksekgonul's perspective
Ordered by how strongly the researchers Mert Yuksekgonul 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Holistic Evaluation of Language Models (2023) — 1,863 citations
- When and why vision-language models behave like bags-of-words, and what to do about it? (2022) — 670 citations
- A visual–language foundation model for pathology image analysis using medical Twitter (2023) — 826 citations
- GPT detectors are biased against non-native English writers (2023) — 585 citations
- Post-hoc Concept Bottleneck Models (2022) — 339 citations