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Classification

15,289 papers

Papers per year

Papers

Volumetric and Multi-View CNNs for Object Classification on 3D Data CVPR 2016
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016
Unconstrained Salient Object Detection via Proposal Subset Optimization CVPR 2016
Sparse Coding for Classification via Discrimination Ensemble CVPR 2016
Modality and Component Aware Feature Fusion For RGB-D Scene Classification CVPR 2016
PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016
The Teaching Dimension of Linear Learners ICML 2016
On the Consistency of Feature Selection With Lasso for Non-linear Targets ICML 2016
Asymmetric Multi-task Learning Based on Task Relatedness and Loss ICML 2016
Accurate Robust and Efficient Error Estimation for Decision Trees ICML 2016
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data ICML 2016
Linking losses for density ratio and class-probability estimation ICML 2016
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams ICML 2016
Adaptive Sampling for SGD by Exploiting Side Information ICML 2016
Learning Physical Intuition of Block Towers by Example ICML 2016
Parameter Estimation for Generalized Thurstone Choice Models ICML 2016
Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016
Optimality of Belief Propagation for Crowdsourced Classification ICML 2016
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs ICML 2016
Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing ICML 2016
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016
Structured Prediction Energy Networks ICML 2016
Variance-Reduced and Projection-Free Stochastic Optimization ICML 2016
Extreme F-measure Maximization using Sparse Probability Estimates ICML 2016
Importance Sampling Tree for Large-scale Empirical Expectation ICML 2016