Alane Suhr
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 8 papers; trusts 564 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 183 citations into it; #5,685 of 35,345 by trust here, #3,440 by citations
- Computer Vision and Pattern Recognition — 132 citations into it; #4,798 of 21,575 by trust here, #2,983 by citations
- Natural Language Processing — 98 citations into it; #1,535 of 5,688 by trust here, #940 by citations
- Reinforcement Learning — 39 citations into it
- Multimodal Learning — 32 citations into it; #382 of 1,211 by trust here, #407 by citations
- Evaluation & Benchmarks — 26 citations into it; #2,949 of 3,147 by trust here, #1,728 by citations
- Model Architectures — 21 citations into it
- Alignment & RLHF — 14 citations into it
Whom Alane Suhr trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
- Sepp Hochreiter
- Ilya Sutskever
- Jimmy Ba
Who trusts Alane Suhr overall
- Zhe Gan
- Jaemin Cho
- Pengchuan Zhang
- Yen-Chun Chen
- Matt Gardner
- Mohit Bansal
- Yoav Artzi
- Wenhui Wang
- Tal Linzen
- Hao Hao Tan
Papers from Alane Suhr's perspective
Ordered by how strongly the researchers Alane Suhr 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- A Corpus for Reasoning about Natural Language Grounded in Photographs (2018) — 733 citations
- TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments (2018) — 471 citations
- A Corpus of Natural Language for Visual Reasoning (2017) — 277 citations
- Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting (2023) — 839 citations
- Executing Instructions in Situated Collaborative Interactions (2019) — 99 citations
- NLVR2 Visual Bias Analysis (2019) — 23 citations
- Fine-Grained Human Feedback Gives Better Rewards for Language Model Training (2023) — 481 citations
- Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling (2023) — 115 citations