Avi Caciularu
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it
- Natural Language Processing — 40 citations into it
- Large Language Models — 32 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Prompting & Reasoning — 12 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Optimization & Training — 5 citations into it
Whom Avi Caciularu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Jimmy Ba
- Yann LeCun
- Alex Graves
- Alec Radford
Who trusts Avi Caciularu overall
Papers from Avi Caciularu's perspective
Ordered by how strongly the researchers Avi Caciularu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space (2022) — 595 citations
- Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (2019) — 38 citations
- A Comprehensive Evaluation of Tool-Assisted Generation Strategies (2023) — 11 citations