Edoardo Maria Ponti
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 6 papers; trusts 224 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 182 citations into it; #23,777 of 35,345 by trust here, #13,544 by citations
- Natural Language Processing — 146 citations into it; #4,268 of 5,688 by trust here, #2,955 by citations
- Computer Vision and Pattern Recognition — 102 citations into it; #18,037 of 21,575 by trust here, #10,334 by citations
- Evaluation & Benchmarks — 59 citations into it
- Representation & Self-Supervised Learning — 33 citations into it
- Large Language Models — 29 citations into it
- Molecular Biology — 7 citations into it
- General Social Sciences — 6 citations into it
Whom Edoardo Maria Ponti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Tomas Mikolov
- Jacob Devlin
- Alex Krizhevsky
- Kaiming He
- Jimmy Ba
- Yann LeCun
Who trusts Edoardo Maria Ponti overall
- Ivan Vulic
- Jonas Pfeiffer
- Goran Glavas
- Sebastian Ruder
- Peiyuan Zhang
- Xi Victoria Lin
- Daniela Gerz
- Fangyu Liu
- Freda Shi
- Saleh Soltan
Papers from Edoardo Maria Ponti's perspective
Ordered by how strongly the researchers Edoardo Maria Ponti trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning (2020) — 457 citations
- MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer (2021) — 99 citations
- IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages (2022) — 73 citations
- Probing Pretrained Language Models for Lexical Semantics (2020) — 286 citations
- SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection (2020) — 90 citations
- Informing Unsupervised Pretraining with External Linguistic Knowledge (2019) — 41 citations