A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. Snippext: Semi-supervised Opinion Mining with Augmented Data. Bayesian task embedding for few-shot Bayesian optimization. Reconstruction of 3D flight trajectories from ad-hoc camera networks. Harmonic Convolutional Networks based on Discrete Cosine Transform. Lig …

Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. Quantifying the relationship between student enrollment patterns and student performance. Demographic Bias in Biometrics: A Survey on an Emerging Challenge. A Time Series Approach To Player Churn and Conversion in Videogames. RN-VID: A Feature Fusion Architecture for …

Many-to-Many Voice Conversion using Conditional Cycle-Consistent Adversarial Networks. NCVis: Noise Contrastive Approach for Scalable Visualization. Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. MAC Protocol Design Optimization Using Deep Learning. The Rumour Mill: Making the Spread of Misinformation Explicit an …

Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization. Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. Path Planning Using Probability Tens …

MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding. Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique. Belief Base Revision for Further Improvement of Unified Answer Set Programming. Self-supervised visual feature learning with curriculum. Tensor Networks for Language Modeling. Are …

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions. Workload Prediction of Business Processes – An Approach Based on Process Mining and Recurrent Neural Networks. Dynamic Inference: A New Approach Toward Efficient Video Action Recognition …

Fully Quantized Transformer for Improved Translation. Scalable Neural Learning for Verifiable Consistency with Temporal Specifications. Cascade Style Transfer. Randomness in Deconvolutional Networks for Visual Representation. Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning. SINGLE PATH ONE-SHOT NEURAL ARCHITECTURE …