Walid Krichene
Artificial Intelligence · 2015–2020
A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it; #35,038 of 35,345 by trust here, #28,481 by citations
- Information Systems — 17 citations into it; #2,767 of 8,771 by trust here, #4,682 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Optimization & Training — 11 citations into it
- Recommender Systems — 9 citations into it
- Computational Mechanics — 8 citations into it
- Mathematical Optimization — 7 citations into it
- Natural Language Processing — 7 citations into it
Whom Walid Krichene trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Arkadi Nemirovski
- Brian D. Storey
- F. Maxwell Harper
- Yoshua Bengio
- Binbin Hu
- Nicolò Cesa-Bianchi
- Zeyuan Allen-Zhu
- Amir Beck
- Alex Krizhevsky
Who trusts Walid Krichene overall
- Fajie Yuan
- Ruihong Qiu
- Xiang Wang
- Qianxiao Li
- Andre Wibisono
- Yongjun Chen
- Xiangnan He
- Xu Xie
- Giambattista Parascandolo
- Ashia C. Wilson
Papers from Walid Krichene's perspective
Ordered by how strongly the researchers Walid Krichene 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Neural Collaborative Filtering vs. Matrix Factorization Revisited (2020) — 500 citations
- On Sampled Metrics for Item Recommendation (2020) — 623 citations
- Accelerated Mirror Descent in Continuous and Discrete Time (2015) — 274 citations