Deep Learning

Blind Predicting Similar Quality Map for Image Quality Assessment CVPR 2018 BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018 Blockwise Parallel Decoding for Deep Autoregressive Models NeurIPS 2018 BLSTM-CRF Based End-to-End Prosodic Boundary Prediction with Context Sensitive Embeddings in a Text-to-Speech Front-End Interspeech 2018 BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training NeurIPS 2018 Boosting Adversarial Attacks With Momentum CVPR 2018 Boosting Black Box Variational Inference NeurIPS 2018 Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions ICLR 2018 Boosting Domain Adaptation by Discovering Latent Domains CVPR 2018 Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems ACML 2018 Boosting Self-Supervised Learning via Knowledge Transfer CVPR 2018 Bootstrapping Generators from Noisy Data NAACL 2018 Bootstrapping the Performance of Webly Supervised Semantic Segmentation CVPR 2018 Born Again Neural Networks ICML 2018 Bottom-Up Abstractive Summarization EMNLP 2018 Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering CVPR 2018 Boundary Seeking GANs ICLR 2018 Bounding and Counting Linear Regions of Deep Neural Networks ICML 2018 Bounds on the Approximation Power of Feedforward Neural Networks ICML 2018 BourGAN: Generative Networks with Metric Embeddings NeurIPS 2018 BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning CVPR 2018 Brain-inspired Balanced Tuning for Spiking Neural Networks IJCAI 2018 Breaking the Activation Function Bottleneck through Adaptive Parameterization NeurIPS 2018 Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation EMNLP 2018 Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ICLR 2018