Seyed Mehran Kazemi
Artificial Intelligence · 2014–2022
A researcher in the Science corpus: 9 papers; trusts 198 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 351 citations into it; #6,550 of 35,345 by trust here, #10,065 by citations
- Graph Learning — 111 citations into it
- Statistical and Nonlinear Physics — 90 citations into it
- Computer Vision and Pattern Recognition — 75 citations into it
- Representation & Self-Supervised Learning — 65 citations into it
- Natural Language Processing — 62 citations into it
- Model Architectures — 55 citations into it
- Information Systems — 50 citations into it; #4,888 of 8,771 by trust here, #6,501 by citations
Whom Seyed Mehran Kazemi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Maximilian Nickel
- Yann LeCun
- Kaiming He
- Tomas Mikolov
- Richard Socher
Who trusts Seyed Mehran Kazemi overall
- Rishab Goel
- Joakim Skarding
- Zequn Sun
- Timothée Lacroix
- Robin Manhaeve
- Apoorv Saxena
- Kshitij Jain
- Sebastijan Dumancic
- Zhaocheng Zhu
- Bogdan Gabrys
Papers from Seyed Mehran Kazemi's perspective
Ordered by how strongly the researchers Seyed Mehran Kazemi 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- LAMBADA: Backward Chaining for Automated Reasoning in Natural Language (2022) — 105 citations
- Diachronic Embedding for Temporal Knowledge Graph Completion (2019) — 445 citations
- Representation Learning for Dynamic Graphs: A Survey (2019) — 638 citations
- Time2Vec: Learning a Vector Representation of Time (2019) — 497 citations
- Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey (2019) — 46 citations
- Structure learning for relational logistic regression: an ensemble approach (2018) — 12 citations
- SimplE Embedding for Link Prediction in Knowledge Graphs (2018) — 857 citations
- RelNN: A Deep Neural Model for Relational Learning (2017) — 55 citations
- Relational Logistic Regression: The Directed Analog of Markov Logic Networks (2014) — 29 citations