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Richard S. Zemel

18 papers · 2006–2023 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (17) πŸ—ΊοΈ Taxonomy Completionist (19) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (52) πŸ’Ž Century Club (18) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ❓ The Questioner

Conferences

NIPS (12) CVPR (2) JMLR (2) ICLR (1) ICML (1)

Top co-authors

Kevin Swersky (3) Marc T. Law (2) Mengye Ren (2) Ryan P. Adams (2) Daniel Tarlow (2) Jake Snell (2) Raquel Urtasun (2) Maksims Volkovs (2) Hugo Larochelle (1) Sachin Ravi (1)

Keywords

generative model (3) representation learning (3) collaborative filtering (2) neural network (2) image annotation (2) matrix factorization (2) probabilistic modeling (2) learning to rank (2) restricted boltzmann machine (2) discriminative model (2) probabilistic model (2) metric learning (2) bayesian inference (1) risk management (1) feature extraction (1) variational inference (1) algorithmic fairness (1) semantic segmentation (1) spectral clustering (1) uncertainty quantification (1)

Papers

Distribution-Free Statistical Dispersion Control for Societal Applications NIPS 2023
Implications of Model Indeterminacy for Explanations of Automated Decisions NIPS 2022
Deep Ensembles Work, But Are They Necessary? NIPS 2022
Identifying and Benchmarking Natural Out-of-Context Prediction Problems NIPS 2021
Variational Model Inversion Attacks NIPS 2021
Meta-Learning for Semi-Supervised Few-Shot Classification ICLR 2018
End-To-End Instance Segmentation With Recurrent Attention CVPR 2017
Deep Spectral Clustering Learning ICML 2017
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data CVPR 2017
New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Efficient Sampling for Bipartite Matching Problems NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Collaborative Ranking With 17 Parameters NIPS 2012
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
Learning Hybrid Models for Image Annotation with Partially Labeled Data NIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images NIPS 2008
Learning Parts-Based Representations of Data JMLR 2006