Application Areas

Discrete Distribution Estimation under Local Privacy ICML 2016 Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016 Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition Interspeech 2016 Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016 DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016 DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data Interspeech 2016 Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras CVPR 2016 Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings Interspeech 2016 Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding Interspeech 2016 Domain Adaptation with Conditional Transferable Components ICML 2016 Domain-Adversarial Training of Neural Networks JMLR 2016 Domain Separation Networks NeurIPS 2016 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing JMLR 2016 DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services OSDI 2016 Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016 DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks IJCAI 2016 Dropout distillation ICML 2016 Dynamic Capacity Networks ICML 2016 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 EbbRT: A Framework for Building Per-Application Library Operating Systems OSDI 2016 Effect of Incomplete Meta-dataset on Average Ranking Method AutoML 2016 Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016 Efficient Indexing of Billion-Scale Datasets of Deep Descriptors CVPR 2016 Efficient Large-Scale Similarity Search Using Matrix Factorization CVPR 2016 Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity ICML 2016