Self-Driving Cars

Paper Group AWR 28

February 2, 2020

Deep Learning with ConvNET Predicts Imagery Tasks Through EEG. Brain Signal Classification via Learning Connectivity Structure. Deep Learning on Small Datasets without Pre-Training using Cosine Loss. Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks. Multi-resolution CSI Feedback with deep learning in Massive …

Paper Group AWR 128

February 1, 2020

Neural Speed Reading with Structural-Jump-LSTM. Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework. Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters. Fairness and Missing Values. Stein Point Markov Chain Monte Carlo. C …

Paper Group AWR 226

February 1, 2020

Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. Co-Generation with GANs using AIS based HMC. XDeep: An Interpretation Tool for Deep Neural Networks. Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. Le …

Paper Group AWR 230

February 1, 2020

Placental Flattening via Volumetric Parameterization. Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model. REPAIR: Removing Representation Bias by Dataset Resampling. SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking. DISN: Deep Implicit Surface Network for High-quality Single-view 3D Rec …

Paper Group AWR 253

February 1, 2020

Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. ‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-term Tracking. Where are the Masks: Instance Segmentation with Image-level Supervision. Supervised Multimodal Bitransformers for Classifying Images and Text. Attentive Neural Processes. Exchangeable Gen …

Paper Group AWR 283

February 1, 2020

A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks. Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. Structured Fusion Networks for Dialog. Deep Residual Output Layers for Neural Languag …

Paper Group AWR 83

February 1, 2020

An Empirical Investigation of Randomized Defenses against Adversarial Attacks. Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. Hierarchical Back Projection Network for Image Super-Resolution. Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. Looking back at Lab …

Paper Group ANR 100

January 31, 2020

Estimating Entropy of Distributions in Constant Space. Saliency Based Fire Detection Using Texture and Color Features. Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers. Responsible Facial Recognition and Beyond. Discovering Episodes with Compact Minimal Windows. Local Aggregation for Unsupervised Learning of Visual Emb …

Paper Group ANR 145

January 31, 2020

Shared control schematic for brain controlled vehicle based on fuzzy logic. Learning Variable Impedance Control for Contact Sensitive Tasks. A Comparison of Policy Search in Joint Space and Cartesian Space for Refinement of Skills. Deep Learning for Low-Dose CT Denoising. CMR motion artifact correction using generative adversarial nets. Adaptive Ma …

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 ANR 54

January 31, 2020

On the Power of Multiple Anonymous Messages. Super-resolution meets machine learning: approximation of measures. Supervised Multiscale Dimension Reduction for Spatial Interaction Networks. CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning. Automatic Segmentation of Muscle Tissue and Inter-muscular …

Paper Group AWR 388

January 31, 2020

On Single Source Robustness in Deep Fusion Models. Predicting materials properties without crystal structure: Deep representation learning from stoichiometry. Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics. Understanding and Controlling Memory in Recurrent Neural Networks. Calculating Optimistic …

Paper Group AWR 422

January 31, 2020

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks. Exploiting temporal context for 3D human pose estimation in the wild. Visual Relationship Detection with Language prior and Softmax. ConvPoint: Continuous Convolutions for Point Cloud Processing. Automated Classification of Histopathology Images Using Tran …

Paper Group AWR 426

January 31, 2020

A Differentiable Programming System to Bridge Machine Learning and Scientific Computing. Improving Open Information Extraction via Iterative Rank-Aware Learning. Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. Dynamics-Aware Unsupervised Discovery of Skills. Dilated Convolutional Neural Networks for Sequential …

Paper Group ANR 408

January 30, 2020

Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices. Continual Prediction from EHR Data for Inpatient Acute Kidney Injury. Datalog Reasoning over Compressed RDF Knowledge Bases. Synthesizing facial photometries and corresponding geometries using generative adversarial networks. Barnes-Hut Approximation for …

Paper Group ANR 470

January 30, 2020

A Data Science Approach for Honeypot Detection in Ethereum. How to Estimate the Ability of a Metaheuristic Algorithm to Guide Heuristics During Optimization. 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. Understanding the Limitations of CNN-based Absolute Camera Pose Regression. Interestingness Elements for Explain …

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 589

January 29, 2020

CLN2INV: Learning Loop Invariants with Continuous Logic Networks. Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice. Learning to design from humans …

Paper Group ANR 604

January 29, 2020

Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder. Abstract Argumentation and the Rational Man. Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates. Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning …

Paper Group ANR 629

January 29, 2020

Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control. ERASER: A Benchmark to Evaluate Rationalized NLP Models. Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery. Efficient Sem …

Paper Group ANR 638

January 29, 2020

Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. Embedding Imputation with Grounded Language Information. Online Variance Reduction with Mixtures. Point cloud registration: matching a maximal common subset on pointclouds with noise (with 2D implementation). What Do We Really Need? Degenerating U-Net on Retinal Vessel S …

Paper Group ANR 682

January 29, 2020

Not Enough Data? Deep Learning to the Rescue!. Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10. Massively Parallel Benders Decomposition for Correlation Clustering. Locally Linear Image Structural Embed …

Paper Group ANR 717

January 29, 2020

Sample Complexity of Kalman Filtering for Unknown Systems. Environmental drivers of systematicity and generalization in a situated agent. Multinomial Random Forest: Toward Consistency and Privacy-Preservation. Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. Parameter Optimization and Learning in a Spiking Neural Network for UAV …

Paper Group ANR 720

January 29, 2020

Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?. MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation. A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition. English-Czech Systems in WMT19: Document-Level Transformer. A computational linguist …

Paper Group ANR 722

January 29, 2020

Improved Document Modelling with a Neural Discourse Parser. Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. Analysis of Software Engineering for Agile Machine Learning Projects. Ludwig: a type-based declarative deep learning toolbox. D …

Paper Group ANR 738

January 29, 2020

Beyond Photo Realism for Domain Adaptation from Synthetic Data. Fast, Small, and Simple Document Listing on Repetitive Text Collections. Online Regularization by Denoising with Applications to Phase Retrieval. A Streaming Analytics Language for Processing Cyber Data. LIA: Latently Invertible Autoencoder with Adversarial Learning. On the Anomalous G …

Paper Group ANR 742

January 29, 2020

Multiple Human Association between Top and Horizontal Views by Matching Subjects’ Spatial Distributions. Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning. Brief Review of Computational Intelligence Algorithms. Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments. Semi-super …

Paper Group ANR 1029

January 28, 2020

Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. Embryo staging with weakly-supervised region selection and dynamically-decoded predictions. Mapping Areas using Computer Vision Algorithms and Drones. An Optimization Framework for Task Sequencing in Curriculum Learning. Finite-Time Error Bounds For Linear Stochastic Approximati …