Anette Frank
Artificial Intelligence · 1998–2021
A researcher in the Science corpus: 12 papers; trusts 825 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 194 citations into it; #7,740 of 35,345 by trust here, #11,490 by citations
- Natural Language Processing — 136 citations into it; #1,530 of 5,688 by trust here, #2,407 by citations
- Computer Vision and Pattern Recognition — 101 citations into it; #7,061 of 21,575 by trust here, #8,952 by citations
- Evaluation & Benchmarks — 44 citations into it
- Multimodal Learning — 41 citations into it; #879 of 1,211 by trust here, #1,076 by citations
- Large Language Models — 25 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Model Architectures — 14 citations into it
Whom Anette Frank trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Tomas Mikolov
- Sepp Hochreiter
- Kaiming He
- Richard Socher
- Yann LeCun
Who trusts Anette Frank overall
- Todor Mihaylov
- Peter Clark
- Najoung Kim
- Ahmed Elgohary
- Jiaao Chen
- Tushar Khot
- Sewon Min
- Cynthia Freeman
- Vid Kocijan
- Xikun Zhang
Papers from Anette Frank's perspective
Ordered by how strongly the researchers Anette Frank 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge (2018) — 184 citations
- Seed-Based Event Trigger Labeling: How far can event descriptions get us? (2015) — 46 citations
- Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks (2020) — 53 citations
- Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR (2020) — 39 citations
- A Sequence-to-Sequence Model for Semantic Role Labeling (2018) — 22 citations
- Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings (2016) — 28 citations
- MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning (2021) — 112 citations
- Addressing the Winograd Schema Challenge as a Sequence Ranking Task (2018) — 16 citations
- Story Cloze Ending Selection Baselines and Data Examination (2017) — 11 citations
- A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures (2016) — 180 citations
- Computing EM-based Alignments of Routes and Route Directions as a Basis for Natural Language Generation (2010) — 9 citations
- Syntactic and Semantic Transfer with F-Structures (1998)