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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS Interspeech 2016 The Generalized Reparameterization Gradient NeurIPS 2016 The LRP Toolbox for Artificial Neural Networks JMLR 2016 The Power of Depth for Feedforward Neural Networks COLT 2016 The Role of Context in Neural Morphological Disambiguation COLING 2016 The SIWIS Database: A Multilingual Speech Database with Acted Emphasis Interspeech 2016 The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM NeurIPS 2016 The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes CVPR 2016 Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation CVPR 2016 Tight Complexity Bounds for Optimizing Composite Objectives NeurIPS 2016 Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016 TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016 Tone Classification in Mandarin Chinese Using Convolutional Neural Networks Interspeech 2016 Top-Push Video-Based Person Re-Identification CVPR 2016 Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity NeurIPS 2016 Towards Conceptual Compression NeurIPS 2016 Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks Interspeech 2016 Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine Interspeech 2016 Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016 Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models Interspeech 2016 Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals CVPR 2016 Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection CVPR 2016 Traffic-Sign Detection and Classification in the Wild CVPR 2016 Train faster, generalize better: Stability of stochastic gradient descent ICML 2016 Training Deep Neural Networks via Direct Loss Minimization ICML 2016