Emilie Morvant

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #27,393 of 35,345 by trust here, #28,481 by citations
• Statistical Learning Theory — 14 citations into it; #908 of 1,038 by trust here, #910 by citations

Whom Emilie Morvant trusts overall

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

1. David A. McAllester
2. Lotfi A. Zadeh

Who trusts Emilie Morvant overall

1. Wouter M. Kouw
2. Pierre Alquier

Papers from Emilie Morvant's perspective

Ordered by how strongly the researchers Emilie Morvant trusts endorse each paper. Same corpus, a different order for every researcher.

1. Analysis of Representations for Domain Adaptation
2. PAC-Bayesian Stochastic Model Selection
3. Toward a perception-based theory of probabilistic reasoning with imprecise probabilities
4. Domain-Adversarial Training of Neural Networks
5. A PAC-Bayesian Tutorial with A Dropout Bound
6. PAC-BAYESIAN SUPERVISED CLASSIFICATION: The Thermodynamics of Statistical Learning
7. Supplementary Material to A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
8. Domain adaptation–can quantity compensate for quality?
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A New PAC-Bayesian Perspective on Domain Adaptation (2015) — 71 citations
• Supplementary Material to A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers (2013)