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Techniques

9,432 papers (36 classified directly here)

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Papers (including subtopics)

Stacked Attention Networks for Image Question Answering CVPR 2016 STCT: Sequentially Training Convolutional Networks for Visual Tracking CVPR 2016 Tensor Switching Networks NeurIPS 2016 Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling COLING 2016 The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS Interspeech 2016 TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016 Training Deep Neural Networks via Direct Loss Minimization ICML 2016 Training Neural Networks Without Gradients: A Scalable ADMM Approach ICML 2016 Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units ICML 2016 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NeurIPS 2016 Unitary Evolution Recurrent Neural Networks ICML 2016 Using Fast Weights to Attend to the Recent Past NeurIPS 2016 Using Text and Acoustic Features in Predicting Glottal Excitation Waveforms for Parametric Speech Synthesis with Recurrent Neural Networks Interspeech 2016 Visual7W: Grounded Question Answering in Images CVPR 2016 Visual Tracking Using Attention-Modulated Disintegration and Integration CVPR 2016 Volumetric and Multi-View CNNs for Object Classification on 3D Data CVPR 2016 Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification COLING 2016 A Discriminative CNN Video Representation for Event Detection CVPR 2015 Attention-Based Models for Speech Recognition NeurIPS 2015 Backpropagation for Energy-Efficient Neuromorphic Computing NeurIPS 2015 Constrained Convolutional Neural Networks for Weakly Supervised Segmentation ICCV 2015 DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets CVPR 2015 Deep Learning with Limited Numerical Precision ICML 2015 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015 Describing Videos by Exploiting Temporal Structure ICCV 2015