Unsupervised Clinical Language Translation. Learning Robust Global Representations by Penalizing Local Predictive Power. Noise-Tolerant Paradigm for Training Face Recognition CNNs. Known-class Aware Self-ensemble for Open Set Domain Adaptation. Radial-Based Undersampling for Imbalanced Data Classification. GORC: A large contextual citation graph of …

Arabic Text Diacritization Using Deep Neural Networks. Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation. Topological Machine Learning for Multivariate Time Series. Uncovering the Semantics of Wikipedia Categories. Estimating Information-Theoretic Quantities with Uncertainty Forests. A Prior of a Googol Gaus …

Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. Model-Agnostic Linear Competitors – When Interpretable Models Compete and Collaborate with Black-Box Models. Data Context Adaptation for Accurate Recommendation with Additional Inf …

Automatic Differentiation for Complex Valued SVD. Big Data Analytics and AI in Mental Healthcare. An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing. Visual Query Answering by Entity-Attribute Graph Matching and Reasoning. Drug-drug interaction prediction based on co-medication patterns and graph matching. Computi …

Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding. Deep Structured Implicit Functions. Multiway clustering via tensor block models. Big Bidirectional Insertion Representations for Documents. Neural Collision Clearance Estimator for Fast Robot Motion Planning. Control of nonlinear, complex and black-boxed greenhouse …

Gradient-Aware Model-based Policy Search. Quantifying the alignment of graph and features in deep learning. Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities. On the Need for Topology-Aware Generative Models for Manifold-Based Defenses. Closing the gap towards end-to-end autonomous vehicle system. Quantified Constraint Han …

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model. Efficient Discrete Supervised Hashing for Large-scale Cross-modal Retrieval. Variational Spectral Graph Convolutional Networks. Deep Physiological State Space Model for Clinical Forecasting. BAOD: Budget-Aware Object Detect …

Information criteria for non-normalized models. Adaptive Embedding Gate for Attention-Based Scene Text Recognition. Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions. Grounding Language Attributes to Objects using Bayesian Eigenobjects. Positive-Unlabeled Reward Learning. Fusing Visual, Textual and Connectivity …

Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces. An Empirical Study on Pre-trained Embeddings and Language Models for Bot Detection. Annotating with Pros and Cons of Technologies in Computer Science Papers. Input-Output Equivalence of Unitary and Contractive RNNs. Sel …

Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval. Feature-guided Neural Model Training for Supervised Document Representation Learning. Collocation Classification with Unsupervised Relation Vectors. Learning to Generate Word- and Ph …