Richard S. Zemel
18 papers · 2006–2023 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (58) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(7)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
β
The Questioner
π
Renaissance Researcher
(7)
π
Conference Pioneer
ποΈ
Keyword Collector
(119)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Learning Types Β· Machine Learning
(13)
Core Methods
(12)
Deep Learning
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Bayesian & Probabilistic Β· Machine Learning
(4)
Models
(4)
Optimization & Theory
(4)
Data Science & Analytics
(3)
Applications
(3)
Architectures
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Computer Vision
(2)
Learning Types Β· Deep Learning
(2)
Keywords
learning to rank
(3)
representation learning
(3)
generative model
(3)
neural network
(2)
logistic regression
(2)
matrix factorization
(2)
restricted boltzmann machine
(2)
image annotation
(2)
metric learning
(2)
probabilistic modeling
(2)
collaborative filtering
(2)
probabilistic model
(2)
discriminative model
(2)
feature extraction
(1)
variational inference
(1)
few-shot learning
(1)
spectral clustering
(1)
binary classification
(1)
semi-supervised learning
(1)
semantic segmentation
(1)
Papers
Distribution-Free Statistical Dispersion Control for Societal Applications
NeurIPS 2023
Deep Ensembles Work, But Are They Necessary?
NeurIPS 2022
Implications of Model Indeterminacy for Explanations of Automated Decisions
NeurIPS 2022
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
NeurIPS 2021
Variational Model Inversion Attacks
NeurIPS 2021
Meta-Learning for Semi-Supervised Few-Shot Classification
ICLR 2018
Deep Spectral Clustering Learning
ICML 2017
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
CVPR 2017
End-To-End Instance Segmentation With Recurrent Attention
CVPR 2017
New Learning Methods for Supervised and Unsupervised Preference Aggregation
JMLR 2014
Cardinality Restricted Boltzmann Machines
NeurIPS 2012
Collaborative Ranking With 17 Parameters
NeurIPS 2012
Efficient Sampling for Bipartite Matching Problems
NeurIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking
NeurIPS 2012
Characterizing response behavior in multisensory perception with conflicting cues
NeurIPS 2008
Generative versus discriminative training of RBMs for classification of fMRI images
NeurIPS 2008
Learning Hybrid Models for Image Annotation with Partially Labeled Data
NeurIPS 2008
Learning Parts-Based Representations of Data
JMLR 2006