DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. Explainable Prediction of Adverse Outcomes Using Clinical Notes. Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection. Multi-Stage Documen …

Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm. XLNet: Generalized Autoregressive Pretraining for Language Understanding. Automatic Posterior Transformation for Likelihood-Free Inference. Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommenda …

Context Attentive Document Ranking and Query Suggestion. Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. Remote Sensor Design for Visual Recognition with Convolutional Neural Networks. LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization. St …

CEDR: Contextualized Embeddings for Document Ranking. $Σ$-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. DADA: Depth-aware Domain Adaptation in Semantic Segmentation. Cost-sensitive Regularization for Label Confusion-aware Event Detection. Semi-Supervised Learning by Disentangling and Self-Ensembling …

Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower. Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization. MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition. Universal audio synthesizer control with normalizing flows. Towards modular and programmable architecture sear …

Illumination-Based Data Augmentation for Robust Background Subtraction. Structural Similarity based Anatomical and Functional Brain Imaging Fusion. Boosting: Why You Can Use the HP Filter. One-element Batch Training by Moving Window. Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. HARE: a Flexible Highlight …

Selective Kernel Networks. Efficient training of energy-based models via spin-glass control. CommunityGAN: Community Detection with Generative Adversarial Nets. Utterance-level Aggregation For Speaker Recognition In The Wild. Data-Driven Neuron Allocation for Scale Aggregation Networks. Boltzmann Exploration Expectation-Maximisation. Type-Driven Au …

A review on ranking problems in statistical learning. Cognitive Analysis of 360 degree Surround Photos. Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Multi-Modal Conditional Learning. Visual interpretation of the robustness of Non-Negative Associative Gradient Projection Points over function minimizers in mini-batch …

AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. A Passage-Based Approach to Learning to Rank Documents. Analyzing Bias in Sensitive Personal Information Used to Train Financial Models. Faster polytope rounding, sampling, and volume computation via a sublinear “Ball Walk”. Trends in the optimal location and …

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. Emergence of Numeric Concepts in Multi-Agent Autonomous Communication. A Method for Identifying Origin of Digital Images Using a Convolution Neural Network. A frame semantic overview of NLP-based information extraction for cancer-related EHR notes. Remaining Useful Lif …

Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions. Autonomous Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking. Efficiency of Coordinate Descent Methods For Structured Nonconvex Optimization. Understanding Roles and Entities: Datasets and Models for N …

SISUA: Semi-Supervised Generative Autoencoder for Single Cell Data. Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure. FaceForensics++: Learning to Detect Manipulated Facial Images. Bayesian Adaptive Superpixel Segmentation. Direct Optimization through \arg \max for Discrete Variational Auto-Encoder. Deep Metric Lea …