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Papers (including subtopics)

Time series prediction and online learning COLT 2016 Towards Automatically-Tuned Neural Networks AutoML 2016 TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning AutoML 2016 Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection CVPR 2016 Transfer Learning for Speaker Verification on Short Utterances Interspeech 2016 Transfer Learning with Bottleneck Feature Networks for Whispered Speech Recognition Interspeech 2016 Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification CVPR 2016 Unsupervised Domain Adaptation with Residual Transfer Networks NeurIPS 2016 Unsupervised Learning of 3D Structure from Images NeurIPS 2016 YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer COLING 2016 Active Learning from Weak and Strong Labelers NeurIPS 2015 Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015 A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions CVPR 2015 An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching NeurIPS 2015 An embarrassingly simple approach to zero-shot learning ICML 2015 Asymmetric Transfer Learning with Deep Gaussian Processes ICML 2015 A Theoretical Analysis of Metric Hypothesis Transfer Learning ICML 2015 Attributes and Categories for Generic Instance Search From One Example CVPR 2015 A Unified Multiplicative Framework for Attribute Learning ICCV 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Bayesian Model Adaptation for Crowd Counts ICCV 2015 Bayesian Multiple Target Localization ICML 2015 Bidirectional Recurrent Neural Networks as Generative Models NeurIPS 2015 BilBOWA: Fast Bilingual Distributed Representations without Word Alignments ICML 2015 Completing 3D Object Shape From One Depth Image CVPR 2015