Online Learning Rate Adaptation with Hypergradient Descent. Decoupled Weight Decay Regularization. Learning with Opponent-Learning Awareness. End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level. An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images. One Mode …

Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions. Improving Text Proposals for Scene Images with Fully Convolutional Networks. Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs. Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. Text Generation Ba …

Latent Intention Dialogue Models. Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation. The iNaturalist Species Classification and Detection Dataset. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis. Learning S …

On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras. Indirect Supervision for Relation Extraction using Question-Answer Pairs. Faster independent component analysis by preconditioning with Hessian approximations. DeepAR: Probabilisti …

Tracking for Half an Hour. Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. SuperPoint: Self-Supervised Interest Point Detection and Description. A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. DropIn: Making Reservoir Computing Neural Networks Robust to Missing In …

High-Resolution Deep Convolutional Generative Adversarial Networks. Probabilistic programs for inferring the goals of autonomous agents. Receptive Field Block Net for Accurate and Fast Object Detection. Cost-complexity pruning of random forests. Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning. Advers …

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. Deep Joint Entity Disambiguation with Local Neural Attention. Knowledge Transfer for Melanoma Screening with Deep Learning. Greedy Search for Descriptive Spatial Face Features. Towards Syntactic Iberian Polarity Classification. Fast Generation for Con …

Robust Adversarial Reinforcement Learning. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. Breast density classification with deep convolutional neural networks. Zero-Shot Relation Extraction via Reading Comprehension. DyNet: The Dynamic Neural Network Toolkit. An Optimization Approach to Learning Fall …

Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples. Enhanced Neural Machine Translation by Learning from Draft. Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting. A Generative Model of People in Clothing. LR-GAN: Layered Recursive Generative Adversarial Networks for Image Genera …

Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones. LSTM Fully Convolutional Networks for Time Series Classification. Morphable Face Models - An Open Framework. High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks. Listen, Interact and Talk: Learning to Speak via Interaction. Robust importance-weigh …

Computer vision-based food calorie estimation: dataset, method, and experiment. A Statistical Comparison of Some Theories of NP Word Order. Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks. Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning. Extreme 3D Face Reconstr …

A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning. Generating Reflectance Curves from sRGB Triplets. Two-temperature logistic regression based on the Tsallis divergence. NSML: A Machine Learning Platform That Enables You to Focus on Your Models. Exchangeable choice function …

Recurrent Attention Network on Memory for Aspect Sentiment Analysis. C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17. Automatic Differentiation in PyTorch. Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extraction. Context-Aw …