Co-occurring keywords · papers mentioning both
Papers
Large-Margin Contrastive Learning with Distance Polarization Regularizer
ICML 2021
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
NeurIPS 2020
Large Margin Discriminant Dimensionality Reduction in Prediction Space
NeurIPS 2016
Discriminative Metric Learning by Neighborhood Gerrymandering
NeurIPS 2014
Learning Mixtures of Submodular Functions for Image Collection Summarization
NeurIPS 2014
Learning Optimal Seeds for Diffusion-based Salient Object Detection
CVPR 2014
Video Event Detection by Inferring Temporal Instance Labels
CVPR 2014
Algorithms and Hardness Results for Parallel Large Margin Learning
JMLR 2013
Distribution-Dependent Sample Complexity of Large Margin Learning
JMLR 2013
Hope and Fear for Discriminative Training of Statistical Translation Models
JMLR 2012
Structured Output Learning with High Order Loss Functions
AISTATS 2012
Algorithms and hardness results for parallel large margin learning
NeurIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning
NeurIPS 2011
Large Margin Learning of Upstream Scene Understanding Models
NeurIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
NeurIPS 2010
Structured output regression for detection with partial truncation
NeurIPS 2009
Tighter Bounds for Structured Estimation
NeurIPS 2008
Large Margin Hidden Markov Models for Automatic Speech Recognition
NeurIPS 2006