Calibration

Paper Group ANR 508

January 29, 2020

Committee Selection with Attribute Level Preferences. Self-Attentive Adversarial Stain Normalization. Modulating Surrogates for Bayesian Optimization. Universal Dependency Parsing from Scratch. Towards Learning Structure via Consensus for Face Segmentation and Parsing. DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces. Deep L …

Paper Group ANR 509

January 29, 2020

Sum-of-square-of-rational-function based representations of positive semidefinite polynomial matrices. BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation. Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach. Spurious Vanishing Problem in Approximate Vanishing Ideal. Fast Convol …

Paper Group ANR 510

January 29, 2020

Deep learning for molecular design - a review of the state of the art. Procedural Generation of Initial States of Sokoban. Scalable Hyperbolic Recommender Systems. How far should self-driving cars see? Effect of observation range on vehicle self-localization. Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLA …

Paper Group ANR 512

January 29, 2020

Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid DoA Estimation. Sketch-Driven Regular Expression Generation from Natural Language and Examples. Leveraging human Domain Knowledge to model an empirical Reward function for a Reinforcement Learning problem. Non-Autoregressive Transformer Automatic Speech Recognition. …

Paper Group ANR 522

January 29, 2020

Model-free Feature Screening and FDR Control with Knockoff Features. Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark. Combating the Compounding-Error Problem with a Multi-step Model. Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning. Artificial Intelligence: A Child’s Play. …

Paper Group ANR 527

January 29, 2020

Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception. Towards Understanding the Importance of Shortcut Connections in Residual Networks. Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training. Facial Makeup Transfer Combining Illumination Transfe …

Paper Group ANR 528

January 29, 2020

$b$-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches. First order expansion of convex regularized estimators. Explaining Predictions from Tree-based Boosting Ensembles. Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis. Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift. An i …

Paper Group ANR 549

January 29, 2020

The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge. Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation. BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues. Exploring Self-A …

Paper Group ANR 550

January 29, 2020

Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy. Multi-Objective Pruning for CNNs Using Genetic Algorithm. Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition. Exploration via Sample-Efficient Subgoal Design. Multi-Channel Graph Convolutional Networks. Coloring gra …

Paper Group ANR 557

January 29, 2020

General non-linear Bellman equations. Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense. ParNet: Position-aware Aggregated Relation Network for Image-Text matching. Variations of Genetic Algorithms. Conscientious Classification: A Data Scientist’s G …

Paper Group ANR 561

January 29, 2020

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. KeystoneDepth: Visualizing History in 3D. A stochastic version of Stein Variational Gradient Descent for efficient sampling. Relational Graph Representation Learning for Open-Domain Question Answering. Information Theoretic Model Predictive Q-Learning. An Analysis of S …

Paper Group ANR 577

January 29, 2020

Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks. Learning Functions over Sets via Permutation Adversarial Networks. Rethinking Full Connectivity in Recurrent Neural Networks. REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model. Semi-Supervised Medical Image Segmentation v …

Paper Group ANR 594

January 29, 2020

MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection. Improving Disentangled Representation Learning with the Beta Bernoulli Process. Semi-Cyclic Stochastic Gradient Descent. An Effective Approach to Unsupervised Machine Translation. Neural Networks Learning and Memorization with (almost) no Over-Parameteriza …

Paper Group ANR 599

January 29, 2020

Quantifying consensus of rankings based on q-support patterns. DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension. An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits. WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation. MURS: Practical and Robust Privacy Amplification …

Paper Group ANR 616

January 29, 2020

Generation of Policy-Level Explanations for Reinforcement Learning. TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation. A Stochastic LBFGS Algorithm for Radio Interferometric Calibration. Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information. Probabilistic Permuta …

Paper Group ANR 630

January 29, 2020

Redirection Controller Using Reinforcement Learning. Robust Learning-based Predictive Control for Constrained Nonlinear Systems. Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report). Supervized Segmentation with Graph-Structured Deep Metric Learning. A Many Objective Optimization Appr …

Paper Group ANR 636

January 29, 2020

Intelligent Autonomous Things on the Battlefield. Fairness criteria through the lens of directed acyclic graphical models. Rethinking Loss Design for Large-scale 3D Shape Retrieval. An Attentional Neural Network Architecture for Folk Song Classification. Revocable Federated Learning: A Benchmark of Federated Forest. Streaming Batch Eigenupdates for …

Paper Group ANR 639

January 29, 2020

Influence of Pointing on Learning to Count: A Neuro-Robotics Model. A Linearly Constrained Nonparametric Framework for Imitation Learning. Driver Distraction Identification with an Ensemble of Convolutional Neural Networks. Improving Human Annotation in Single Object Tracking. Correlation Priors for Reinforcement Learning. Modeling German Verb Argu …

Paper Group ANR 650

January 29, 2020

Question Classification with Deep Contextualized Transformer. Why Do Masked Neural Language Models Still Need Common Sense Knowledge?. Random Vector Functional Link Neural Network based Ensemble Deep Learning. Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. Hamiltonian Graph Networks with ODE Integrators. MonSter …

Paper Group ANR 659

January 29, 2020

Understand customer reviews with less data and in short time: pretrained language representation and active learning. Crowd Counting Using Scale-Aware Attention Networks. MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets. STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. Cycle-SUM: Cycle-consisten …

Paper Group ANR 677

January 29, 2020

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. EXIT Analysis for Community Detection. Learning Best Response Strategies for Agents in Ad Exchanges. Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recen …

Paper Group ANR 690

January 29, 2020

Adversarial View-Consistent Learning for Monocular Depth Estimation. Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes. Redistribution Mechanism on Networks. A Novel Multi-layer Framework for Tiny Obstacle Discovery. Solving Online Threat Screening Games using Constrained Acti …

Paper Group ANR 713

January 29, 2020

Factorized Multimodal Transformer for Multimodal Sequential Learning. Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors. LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery. TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning. ExperienceThinking: Hyperparameter Optimization with Budget …

Paper Group ANR 719

January 29, 2020

Applications of Generative Adversarial Models in Visual Search Reformulation. Multimodal Abstractive Summarization for How2 Videos. Still no free lunches: the price to pay for tighter PAC-Bayes bounds. Vouw: Geometric Pattern Mining using the MDL Principle. Classification Accuracy Score for Conditional Generative Models. Eigenvalue and Generalized …

Paper Group ANR 726

January 29, 2020

An Argumentation-Based Reasoner to Assist Digital Investigation and Attribution of Cyber-Attacks. CNN-Based PET Sinogram Repair to Mitigate Defective Block Detectors. On Learning from Ghost Imaging without Imaging. Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics. Summarization and Visualization of Large Volumes of Broadcast …

Paper Group ANR 744

January 29, 2020

On the Bias-Variance Tradeoff: Textbooks Need an Update. Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum. Pipelined Training with Stale Weights of Deep Convolutional Neural Networks. Acceleration of the NVT-flash calculation for multicomponent mixtures using deep neural network models. Parameters Estimation for the …

Paper Group ANR 753

January 29, 2020

PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction. Adversarial Risk via Optimal Transport and Optimal Couplings. Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction. Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder. High …

Paper Group ANR 754

January 29, 2020

General Convolutional Sparse Coding with Unknown Noise. Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. Comparison of Different Spike Sorting Subtechniques Based on Rat Brain Basolateral Amygdala Neuronal Activity. Extending Description Logic EL++ with Linear Constraints on the Probability …