Tania Bedrax-Weiss

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 5 papers; trusts 132 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 114 citations into it; #9,445 of 35,345 by trust here, #11,072 by citations
• Natural Language Processing — 56 citations into it; #2,791 of 5,688 by trust here, #2,732 by citations
• Computer Vision and Pattern Recognition — 46 citations into it; #10,223 of 21,575 by trust here, #15,529 by citations
• Evaluation & Benchmarks — 30 citations into it
• Probabilistic & Bayesian Methods — 27 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Optimization & Training — 10 citations into it
• Statistics and Probability — 8 citations into it

Whom Tania Bedrax-Weiss trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Yann LeCun
6. Ilya Sutskever
7. Jimmy Ba
8. Kaiming He
9. Alex Graves
10. Ruslan Salakhutdinov

Who trusts Tania Bedrax-Weiss overall

1. Daniel Deutsch
2. Apoorv Saxena
3. Shiyue Zhang
4. Dan Roth
5. Alexander R. Fabbri
6. Haitian Sun
7. Bhuwan Dhingra
8. Sewon Min
9. Linhao Luo
10. Jialin Wu

Papers from Tania Bedrax-Weiss's perspective

Ordered by how strongly the researchers Tania Bedrax-Weiss trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text (2019) — 464 citations
• Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary (2020) — 145 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness (2020) — 573 citations
• How Large Are Lions? Inducing Distributions over Quantitative Attributes (2019) — 61 citations