Flávio du Pin Calmon
Artificial Intelligence · 2012–2021
A researcher in the Science corpus: 12 papers; trusts 244 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 199 citations into it; #7,127 of 35,345 by trust here, #10,430 by citations
- Safety, Robustness & Interpretability — 66 citations into it
- Statistics and Probability — 59 citations into it
- Privacy & Security — 47 citations into it
- AI Ethics, Fairness & Society — 45 citations into it; #226 of 494 by trust here, #118 by citations
- Safety Research — 42 citations into it; #2,826 of 5,829 by trust here, #2,873 by citations
- Sociology and Political Science — 41 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it; #15,023 of 21,575 by trust here, #15,529 by citations
Whom Flávio du Pin Calmon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Toon Calders
- Faisal Kamiran
- Geoffrey E. Hinton
- Sara Hajian
- Alex Krizhevsky
- Indrė Žliobaitė
- Diederik P. Kingma
- Latanya Sweeney
- Yoshua Bengio
Who trusts Flávio du Pin Calmon overall
- Chong Huang
- Peter Kairouz
- Silvia Chiappa
- Jiachun Liao
- Dana Pessach
- Lalitha Sankar
- Luca Oneto
- Jinyuan Jia
- Hao Wang
- Meng Sun
Papers from Flávio du Pin Calmon's perspective
Ordered by how strongly the researchers Flávio du Pin Calmon 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Optimized Data Pre-Processing for Discrimination Prevention (2017) — 64 citations
- Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions (2019) — 97 citations
- Predictive Multiplicity in Classification (2019) — 210 citations
- Privacy against statistical inference (2012) — 370 citations
- On the Robustness of Information-Theoretic Privacy Measures and Mechanisms (2018) — 58 citations
- Differentially Private Federated Learning: An Information-Theoretic Perspective (2021) — 31 citations
- CPR: Classifier-Projection Regularization for Continual Learning (2020) — 91 citations
- A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences (2020) — 42 citations
- Obfuscation via Information Density Estimation (2019) — 13 citations
- On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning (2018) — 12 citations
- Optimized Pre-Processing for Discrimination Prevention (2017) — 843 citations
- Correcting Forecasts with Multifactor Neural Attention (2016) — 32 citations