conftrace_

discriminative model

109 papers

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Co-occurring keywords

generative model (2892) neural network (6616) representation learning (6206) latent variable (541) latent variable model (564) few-shot learning (3398) pre-trained language model (1515) convolutional neural network (4226) diffusion model (3751) support vector machine (978)

Papers

Neural Net Models of Open-domain Discourse Coherence EMNLP 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation NIPS 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model NIPS 2017
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016
Answer-Type Prediction for Visual Question Answering CVPR 2016
Backprop KF: Learning Discriminative Deterministic State Estimators NIPS 2016
Learning to Segment Object Candidates NIPS 2015
Multi-instance multi-label learning in the presence of novel class instances ICML 2015
Max-Margin Deep Generative Models NIPS 2015
In Defense of Color-Based Model-Free Tracking CVPR 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
Generative Adversarial Nets NIPS 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
Enriching Visual Knowledge Bases via Object Discovery and Segmentation CVPR 2014
Learning Scalable Discriminative Dictionary with Sample Relatedness CVPR 2014
A Discriminative Latent Variable Model for Online Clustering ICML 2014
Randomized Max-Margin Compositions for Visual Recognition CVPR 2014
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014
A Joint Model for 2D and 3D Pose Estimation from a Single Image CVPR 2013
Maximum Margin Temporal Clustering AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010
On Herding and the Perceptron Cycling Theorem NIPS 2010
Learning from Candidate Labeling Sets NIPS 2010