Techniques

Attentive Language Models IJCNLP 2017 Axiomatic Attribution for Deep Networks ICML 2017 Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models NeurIPS 2017 Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017 BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks CVPR 2017 CANE: Context-Aware Network Embedding for Relation Modeling ACL 2017 Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization EMNLP 2017 CKY-based Convolutional Attention for Neural Machine Translation IJCNLP 2017 CLKN: Cascaded Lucas-Kanade Networks for Image Alignment CVPR 2017 CNN-SLAM: Real-Time Dense Monocular SLAM With Learned Depth Prediction CVPR 2017 Cognitive Mapping and Planning for Visual Navigation CVPR 2017 Colorization as a Proxy Task for Visual Understanding CVPR 2017 Combined Group and Exclusive Sparsity for Deep Neural Networks ICML 2017 Compression-aware Training of Deep Networks NeurIPS 2017 Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks ACL 2017 Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NeurIPS 2017 ConvNets with Smooth Adaptive Activation Functions for Regression AISTATS 2017 Convolutional Neural Network Architecture for Geometric Matching CVPR 2017 Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting Interspeech 2017 CTC in the Context of Generalized Full-Sum HMM Training Interspeech 2017 Deciding How to Decide: Dynamic Routing in Artificial Neural Networks ICML 2017 Decoupled Neural Interfaces using Synthetic Gradients ICML 2017 Deeper Attention to Abusive User Content Moderation EMNLP 2017 Deep Feature Interpolation for Image Content Changes CVPR 2017 Deep Hyperspherical Learning NeurIPS 2017