An Evaluation of Change Point Detection Algorithms. Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. Source Separation with Deep Generative Priors. Crowdsourced Collective Entity Resolution with Relational Match Propagation. On the interaction between supervision and self-play in emergent communication. DefogGAN: Predic …

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 …

Streaming Active Deep Forest for Evolving Data Stream Classification. Towards Robust and Reproducible Active Learning Using Neural Networks. Adaptive Region-Based Active Learning. Active Learning for Sound Event Detection. Efficient active learning of sparse halfspaces with arbitrary bounded noise. Deep Domain-Adversarial Image Generation for Domai …

Almost Sure Convergence of Dropout Algorithms for Neural Networks. Modelisation de l’incertitude et de l’imprecision de donnees de crowdsourcing : MONITOR. Facets of the PIE Environment for Proving, Interpolating and Eliminating on the Basis of First-Order Logic. Semantic Relatedness and Taxonomic Word Embeddings. Communication-Efficient Distribute …

Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models. “Other-Play” for Zero-Shot Coordination. Visual-Inertial Telepresence for Aerial Manipulation. Camera-Based Adaptive Trajectory Guidance via Neural Networks. A Comprehensive Survey on the Ambulance Routing and Location Problems. Automatic detection and counting of reti …

Symplectic Recurrent Neural Networks. Model-Augmented Actor-Critic: Backpropagating through Paths. Detecting Change in Seasonal Pattern via Autoencoder and Temporal Regularization. Weakly Supervised Clustering by Exploiting Unique Class Count. LARGE SCALE REPRESENTATION LEARNING FROM TRIPLET COMPARISONS. ICNN: INPUT-CONDITIONED FEATURE REPRESENTATI …