← Authors

Rich Caruana

13 papers · 2003–2022 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (31) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (19) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ† Keyword Champion (2) 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (56) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (13) ❓ The Questioner

Conferences

NIPS (4) AISTATS (2) ICML (2) CLEAR (1) CVPR (1) EMNLP (1) ICLR (1) JMLR (1)

Top co-authors

Chun-Hao Chang (2) Harsha Nori (2) Geoffrey E. Hinton (1) Sarah Tan (1) Jia-Bin Huang (1) Brian Quistorff (1) Virginia R. de Sa (1) Hanzhang Hu (1) Andrew Farnsworth (1) Eric Xing (1)

Keywords

differential privacy (2) neural network (2) network architecture (2) feature selection (2) deep neural network (2) interpretable model (2) interaction effect (2) feature learning (1) stereo vision (1) multi-task learning (1) computer vision (1) parameter estimation (1) probabilistic modeling (1) object detection (1) 3d reconstruction (1) supervised learning (1) topic modeling (1) knowledge distillation (1) causal effect estimation (1) motion estimation (1)

Papers

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning ICLR 2022
Dropout as a Regularizer of Interaction Effects AISTATS 2022
Differentially Private Estimation of Heterogeneous Causal Effects CLEAR 2022
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021
Neural Additive Models: Interpretable Machine Learning with Neural Nets NIPS 2021
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models AISTATS 2020
Efficient Forward Architecture Search NIPS 2019
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ICML 2016
Detecting Migrating Birds at Night CVPR 2016
Do Deep Nets Really Need to be Deep? NIPS 2014
Using multiple samples to learn mixture models NIPS 2013
Optimizing to Arbitrary NLP Metrics using Ensemble Selection EMNLP 2005
Benefitting from the Variables that Variable Selection Discards JMLR 2003