Gaussian Processes

Paper Group ANR 855

January 28, 2020

Revisiting Paraphrase Question Generator using Pairwise Discriminator. Bayesian Deconditional Kernel Mean Embeddings. Single Episode Policy Transfer in Reinforcement Learning. Making Recommendations from Web Archives for “Lost” Web Pages. Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. Generalizable Reso …

Paper Group ANR 895

January 28, 2020

3D point cloud registration with shape constraint. ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks. Multitask Soft Option Learning. An Adaptive Weighted Deep Forest Classifier. Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. DEAM: Adaptive Momentum with Discriminativ …

Paper Group ANR 898

January 28, 2020

Batch-Shaping for Learning Conditional Channel Gated Networks. A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. Unsupervised Learning through Temporal Smoothing and Entropy Maximization. Distributional reinforcement learning with linear function approximation. Nonstationary Multivariate Gaussian Processes for Electron …

Paper Group ANR 909

January 28, 2020

Optimal low rank tensor recovery. AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. Decoding of visual-related information from the human EEG using an end-to-end deep learning approach. Joint Spatial and Angular Super-Resolution from a Single Image. Triangulation: Why Optimize?. Generating Highly Relevant Questions. Basis Prediction Ne …

Paper Group ANR 926

January 28, 2020

Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent. An Empirical Study of the Relationships between Code Readability and Software Complexity. A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning. Optimistic Adaptive Acceleration for Optimization. Generic Varianc …

Paper Group ANR 933

January 28, 2020

X-Section: Cross-Section Prediction for Enhanced RGBD Fusion. Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax. Dynamic Matrix Decomposition for Action Recognition. Deep Features Analysis with Attention Networks. A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots. Wasserstein Adversarial Imitation Lear …

Paper Group ANR 973

January 28, 2020

Quantile Propagation for Wasserstein-Approximate Gaussian Processes. A Novel Multiple Classifier Generation and Combination Framework Based on Fuzzy Clustering and Individualized Ensemble Construction. Scene and Environment Monitoring Using Aerial Imagery and Deep Learning. A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial In …

Paper Group ANR 999

January 28, 2020

Increasing the Generalisation Capacity of Conditional VAEs. Unsupervised Question Answering by Cloze Translation. A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics. Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Plain Eng …

Paper Group ANR 1108

January 27, 2020

Bayesian optimization in ab initio nuclear physics. “Mask and Infill” : Applying Masked Language Model to Sentiment Transfer. A Gaussian process latent force model for joint input-state estimation in linear structural systems. Deep Learning based HEp-2 Image Classification: A Comprehensive Review. Multi-layered Spiking Neural Network with Target Ti …

Paper Group ANR 1118

January 27, 2020

Dance Dance Generation: Motion Transfer for Internet Videos. Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network. Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks. Expression Analysis Ba …

Paper Group ANR 1154

January 27, 2020

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. Ordinal Regression as Structured Classification. Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods. Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung …

Paper Group ANR 1166

January 27, 2020

Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set. Variational Bayesian inference of hidden stochastic processes with unknown parameters. Phase transitions and optimal algorithms for semi-supervised classifications on graphs: from belief propagation to graph convolution network. Agile Domain Adaptation. …

Paper Group ANR 1168

January 27, 2020

On the Separability of Classes with the Cross-Entropy Loss Function. Deep Workpiece Region Segmentation for Bin Picking. Anchor Loss: Modulating Loss Scale based on Prediction Difficulty. Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines. How Old Are You? Face Age Tr …

Paper Group ANR 1176

January 27, 2020

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. Finite Depth and Width Corrections to the Neural Tangent Kernel. Hierarchical Multi-task Deep Neural Network Architecture for End-to-End Driving. Probing Representations Learned by Multimodal Recurrent and Transformer Models. PAC Guarantees for Cooperative Multi-A …

Paper Group ANR 1179

January 27, 2020

On the Consistency of Top-k Surrogate Losses. Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation. The role of a layer in deep neural networks: a Gaussian Process perspective. Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach. Octree guid …

Paper Group ANR 1216

January 27, 2020

Select and Attend: Towards Controllable Content Selection in Text Generation. Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification. Lipi Gnani - A Versatile OCR for Documents in any Language Printed in Kannada Script. The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes. …

Paper Group ANR 1308

January 27, 2020

Learning Navigation Subroutines from Egocentric Videos. Interpretable deep Gaussian processes with moments. Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph. Audio-based automatic mating success prediction of giant pandas. SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. Ge …

Paper Group ANR 1317

January 27, 2020

Localized Trajectories for 2D and 3D Action Recognition. A Regression Framework for Predicting User’s Next Location using Call Detail Records. Task-Driven Common Representation Learning via Bridge Neural Network. We Know Where We Don’t Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations. Safe-Bayes …

Paper Group ANR 1330

January 27, 2020

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. Shape Detection of Liver From 2D Ultrasound Images. Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection. Discrete Optimal Graph Clustering. Distribution Calibration for Regression. Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide …

Paper Group ANR 1385

January 26, 2020

Expanding Label Sets for Graph Convolutional Networks. Predicting Economic Development using Geolocated Wikipedia Articles. Deformable Non-local Network for Video Super-Resolution. Revisiting Fine-tuning for Few-shot Learning. High Accuracy Tumor Diagnoses and Benchmarking of Hematoxylin and Eosin Stained Prostate Core Biopsy Images Generated by Ex …

Paper Group ANR 1391

January 26, 2020

Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition. Scalable Model Compression by Entropy Penalized Reparameterization. The Use of Mutual Coherence to Prove $\ell^1/\ell^0$-Equivalence in Classification Problems. Structure-adaptive manifold estimation. DGSAN: Discrete Generative Self-Adversarial Network. L …

Paper Group ANR 1409

January 26, 2020

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. Bayesian Optimisation with Gaussian Processes for Premise Selection. The Role of Artificial Intelligence (AI) in Adaptive eLearning System (AES) Content Formation: Risks and Opportunities involved. DeepPool: Distributed Model-free Algorithm for Ride …

Paper Group ANR 1440

January 26, 2020

Compressing Representations for Embedded Deep Learning. Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections. DScribe: Library of Descriptors for Machine Learning in Materials Science. Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. Harmon …

Paper Group ANR 1451

January 26, 2020

Temporal Registration in Application to In-utero MRI Time Series. Learning One-hidden-layer neural networks via Provable Gradient Descent with Random Initialization. Distributed Machine Learning on Mobile Devices: A Survey. Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators. Spherical U-Net on Cortical …

Paper Group ANR 1468

January 26, 2020

A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure. Deep Learning Multidimensional Projections. Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. On the relationship between multitask neural networks and multitask Gaussian Processes. Stationary …

Paper Group ANR 1472

January 26, 2020

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors. Dynamically optimal treatment allocation using Reinforcement Learning. Pruning Deep Neural Networks Architectures with Evolution Strategy. Intentional Computational Level Design. Instance Shadow Detection. Using Persistent Homology to Quantify a Diurnal Cycle i …

Paper Group ANR 1528

January 26, 2020

Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes. Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency. Validation of a deep learning mammography model in a population with low screening rates. Two-phase flow regime prediction using LSTM based deep recurrent neural netw …

Paper Group ANR 1552

January 26, 2020

Conditional Markov Chain Search for the Generalised Travelling Salesman Problem for Warehouse Order Picking. Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler. Bootstrapping Domain-Specific Content Discovery on the Web. Safe global optimization of expensive noisy black-box functions in the $δ$-Lipschitz framework …