Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. A Neural Architecture for Person Ontology population. HAMLET – A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection. Comparing Different Deep Learning Architectures for Classification of Chest Radiographs …

Margin Maximization as Lossless Maximal Compression. Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. Learning from Positive and Unlabeled Data with Arbitrary Positive Shift. Global Context-Aware Progressive Aggre …

Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature. Options of Interest: Temporal Abstraction with Interest Functions. Self-Constructing Graph Convolutional Networks for Semantic Labeling. Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using St …

Virtual staining for mitosis detection in Breast Histopathology. Approximation Bounds for Random Neural Networks and Reservoir Systems. Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. Learning Stochastic Behaviour of Aggregate Data. Supervised Phrase-boundary Embeddings. Learning the Loss Functions in a Discriminative Space f …

Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection. Dimension-free convergence rates for gradient Langevin dynamics in RKHS. DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices. Topological Descriptors Help Predict Guest Adsorption …

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks. The Problem with Metrics is a Fundamental Problem for AI. Detection of FLOSS version release events from Stack Overflow message data. Low Latency ASR for Simultaneous …

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING. Sample Efficient Policy Gradient Methods with Recursive Variance Reduction. Topological Autoencoders. Policy Optimization with Stochastic Mirror Descent. Generative Latent Flow. Neural Phrase-to-P …

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. Deep 3D Pan via Local adaptive “t-shaped” convolutions with global and local adaptive dilations. SPREAD DIVERGENCE. Simplicial Complex Networks. Identifying through Flows for Recovering Latent Representations. Adaptive network sparsification with dependent variation …