Point Processes

Paper Group AWR 1

February 2, 2020

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses. Generated Loss, Augmented Training, and Multiscale VAE. Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit …

Paper Group AWR 42

February 2, 2020

Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI. A topological data analysis based classification method for multiple measurements. HopSkipJumpAttack: A Query-Efficient Decision-Based Attack. Is the Red Square Big? MALeViC: Modelin …

Paper Group AWR 55

February 2, 2020

Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration. GolfDB: A Video Database for Golf Swing Sequencing. Street Crossing Aid Using Light-weight CNNs for the Visually Impaired. Batch Policy Learning under Constraints. Green AI. Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolu …

Paper Group AWR 71

February 2, 2020

On the consistency of supervised learning with missing values. Enhancing Domain Word Embedding via Latent Semantic Imputation. Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels. Visualizing Deep Similarity Networks. Actor- …

Paper Group AWR 149

February 1, 2020

Learning the Tangent Space of Dynamical Instabilities from Data. Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation. Deeply-supervised Knowledge Synergy. Using LSTMs for climate change assessment studies on droughts and floods. Adaptive Morphological Reconstruction for Seeded Image Segmentati …

Paper Group AWR 158

February 1, 2020

A Systematic Comparison of English Noun Compound Representations. Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. Sampling from Stochastic Fi …

Paper Group AWR 177

February 1, 2020

Embedding and learning with signatures. Modelling conditional probabilities with Riemann-Theta Boltzmann Machines. Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations. A Data Set of Internet Claims and Comparison of their Sentiments with Credibility. deepsing: Generating …

Paper Group AWR 219

February 1, 2020

Deep interpretable architecture for plant diseases classification. Spherical Text Embedding. Metric Learning for Adversarial Robustness. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization. Unsupervised Keypoint Learning for Guiding Class-Conditional …

Paper Group AWR 286

February 1, 2020

Mean Spectral Normalization of Deep Neural Networks for Embedded Automation. Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. Interpretable and Steerable Sequence Learning via Prototypes. Patent Citation Dynami …

Paper Group AWR 346

February 1, 2020

Harry Potter and the Action Prediction Challenge from Natural Language. Multi-Modal Fusion for End-to-End RGB-T Tracking. ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning. Real-world attack on MTCNN face detection system. Interpretable machine learning: definitions, methods, and a …

Paper Group AWR 365

February 1, 2020

A Tsetlin Machine with Multigranular Clauses. In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes. Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic. Adversarial Augmentation for Enhancing Classification of Mammography Images. Persistent Homolog …

Paper Group ANR 185

January 31, 2020

Thermostatic control for demand response using distributed averaging and deep neural networks. Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm. A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. Discriminative Clustering for Robust Unsupervised Domain Adaptation. Representat …

Paper Group ANR 47

January 31, 2020

An analysis of observation length requirements for machine understanding of human behaviors in spoken language. Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology. Target Language-Aware Constrained Inference for Cross-lingual …

Paper Group AWR 385

January 31, 2020

An Alternative Surrogate Loss for PGD-based Adversarial Testing. Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. Noise-tolerant fair classification. Learning Resolution Parameters for Graph Clustering. STCN: Stochastic Temporal Convolutional Networks. Intensity-Free Learning of Temporal Point Processes. Mult …

Paper Group ANR 335

January 30, 2020

A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access. Distributed Learning of Deep Neural Networks using Independent Subnet Training. Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem. Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network. A Variation …

Paper Group ANR 353

January 30, 2020

What Do You Mean I’m Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant. Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory. Consistency Regularization for Generative Adversarial Networks. AMASS: Archive of Motion Capture as Surface Shapes. Sensory Optimization: Neural Networks a …

Paper Group ANR 404

January 30, 2020

Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes. Deep Learning in Alzheimer’s disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data. Parameter Efficient Training of Deep Convolutio …

Paper Group ANR 405

January 30, 2020

Scattering Statistics of Generalized Spatial Poisson Point Processes. Confusion matrices and rough set data analysis. Object-oriented state editing for HRL. An Interpretable Compression and Classification System: Theory and Applications. OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. Deep Neural Network …

Paper Group ANR 559

January 29, 2020

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. Model Similarity Mitigates Test Set Overuse. Protecting GANs against privacy attacks by preventing overfitting. One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation. Joint Adversarial Training: Incorporating both Spatial and P …

Paper Group ANR 635

January 29, 2020

MANGA: Method Agnostic Neural-policy Generalization and Adaptation. Detecting and Correcting Adversarial Images Using Image Processing Operations. A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. Personalized Bundle List Recommendation. The Skipping Behavior of Users of Music Streaming Services and its Re …

Paper Group ANR 733

January 29, 2020

DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets. Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization. Deep Poetry: A Ch …

Paper Group ANR 735

January 29, 2020

Rethinking Person Re-Identification with Confidence. Scanner Invariant Representations for Diffusion MRI Harmonization. Richer priors for infinitely wide multi-layer perceptrons. Augmented Replay Memory in Reinforcement Learning With Continuous Control. Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuro …

Paper Group ANR 770

January 28, 2020

Global Fitting of the Response Surface via Estimating Multiple Contours of a Simulator. Visualizing High Dimensional Dynamical Processes. Deep Learning Approach on Information Diffusion in Heterogeneous Networks. A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry. L 1-norm double backpropagation adversarial defense. Perceptuall …

Paper Group ANR 775

January 28, 2020

CompenNet++: End-to-end Full Projector Compensation. Black-box constructions for exchangeable sequences of random multisets. HapPenIng: Happen, Predict, Infer – Event Series Completion in a Knowledge Graph. NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data. PRNet: Self-Supervised Learning for …

Paper Group ANR 901

January 28, 2020

The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles’ Heel of Cognitive Networks?. Deep Anchored Convolutional Neural Networks. The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. Time series cluster kernels to exploit informative missingness and incomplete label information. Cl …

Paper Group ANR 941

January 28, 2020

An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies. Complexity of Linear Regions in Deep Networks. Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach. Deriving a Quantitative Relationship Between Resolution and Human Classification Error. Py …

Paper Group ANR 942

January 28, 2020

Federated Evaluation of On-device Personalization. Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. Empirical Bayes Method for Boltzmann Machines. Intermittent Demand Forecasting with Deep Renewal Processes. GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level. …

Paper Group ANR 1098

January 27, 2020

Better Approximate Inference for Partial Likelihood Models with a Latent Structure. Communication Complexity of Estimating Correlations. On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. Derived Codebooks for High-Accuracy Nearest Neighbor Search. A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed …