Text Classification

Paper Group AWR 97

February 1, 2020

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. Bayesian active learning for optimization and uncertainty quantification in protein docking. Bayesian Optimization of Composite Functions. Fast Tree Variants of Gromov-Wasserstein. CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema …

Paper Group AWR 98

February 1, 2020

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks. ABD-Net: Attentive but Diverse Person Re-Identification. Unrestricted Adversarial Examples via Semantic Manipulation. Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation. Hierarchical Text Classification with R …

Paper Group ANR 1

January 31, 2020

LoRAS: An oversampling approach for imbalanced datasets. Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning. Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion. Image Aesthetics Assessment using Multi Channel Convolutional Neural Networks. Theoretical Limitation …

Paper Group ANR 124

January 31, 2020

Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making. Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. Exploring applications of deep reinforcement learning for real-world autonomous driving systems. Point Attention Network for Semantic Segmentati …

Paper Group ANR 128

January 31, 2020

Pythia: AI-assisted Code Completion System. Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. Research on the pixel-based an …

Paper Group ANR 155

January 31, 2020

Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers. Optimizing Shallow Networks for Binary Classification. Code-Switching for Enhancing NMT with Pre-Specified Translation. Convergence rates for the stochastic gradient descent method for non-convex objective functions. Learning Metric Graphs for Neuron Segmentation In …

Paper Group ANR 159

January 31, 2020

Universal Approximation with Deep Narrow Networks. VGG Fine-tuning for Cooking State Recognition. Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery. Universal, transferable and targeted adversarial attacks. Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. EILearn: Learning Increme …

Paper Group ANR 178

January 31, 2020

Curvature-Exploiting Acceleration of Elastic Net Computations. Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. Unsupervised Deep Learning for Ultra-reliable and Low-latency Communications. Bayesian Network Models for Incomplete and Dynamic Data. Syntactic Recurrent Neural Network for Authorship Attribution. Gaussian …

Paper Group ANR 181

January 31, 2020

Prudence When Assuming Normality: an advice for machine learning practitioners. Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings. Bayesian Optimized 1-Bit CNNs. STEFANN: Scene Text Editor using Font Adaptive Neural Network …

Paper Group ANR 186

January 31, 2020

Probabilistic Kernel Support Vector Machines. Learning Generative Models across Incomparable Spaces. Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem. Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?. Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?. Generat …

Paper Group ANR 2

January 31, 2020

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling. Deformable Tube Network for Action Detection in Videos. Naive Bayes with Correlation Factor for Text Classification Problem. Conformance Checking Approximation using Subset Selection and Edit Distance. Optimal Robust Learning of Discrete Distributions from Batches. Id …

Paper Group ANR 27

January 31, 2020

Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image. Pretrain Soft Q-Learning with Imperfect Demonstrations. Temporal Analysis of Reddit Networks via Role Embeddings. When Labelled Data Hurts: Deep Semi-Supervised Classification with the Graph 1-Laplacian. Knowledge Distillation via Route Constrained Optimization. A …

Paper Group ANR 29

January 31, 2020

Automatic Argument Quality Assessment – New Datasets and Methods. Gaussian Sketching yields a J-L Lemma in RKHS. The relationship between Biological and Artificial Intelligence. A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach. Deep Learning-based Limited Feedback Designs for MIMO Systems. Functional advanta …

Paper Group ANR 64

January 31, 2020

Efficient predicate invention using shared “NeMuS”. An entropic feature selection method in perspective of Turing formula. Efficient Feature Selection techniques for Sentiment Analysis. Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. Hyperspectral City V1.0 Dataset and Benchmark. Improved Multi-Stage Traini …

Paper Group ANR 66

January 31, 2020

Dual Neural Network Architecture for Determining Epistemic and Aleatoric Uncertainties. Solving Traveltime Tomography with Deep Learning. An Efficient Hardware-Oriented Dropout Algorithm. Embedded Bayesian Network Classifiers. Human-Machine Collaboration for Fast Land Cover Mapping. Age Progression and Regression with Spatial Attention Modules. Gro …

Paper Group ANR 90

January 31, 2020

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks. Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications. Steady-State Control and Machine Learning of Large-Scale Deformable Mirror Models. …

Paper Group ANR 96

January 31, 2020

Exponential Separations in Local Differential Privacy. Semantic filtering through deep source separation on microscopy images. Adaptive Robust Optimization with Nearly Submodular Structure. Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). Localized Debiased Machine Learning: Efficient Estim …

Paper Group AWR 374

January 31, 2020

Human uncertainty makes classification more robust. Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI. ProbMinHash – A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity. AMR Normalization for Fairer Evaluation. Unified Generative Adversarial Networks for Controllable Image-t …

Paper Group AWR 377

January 31, 2020

Let’s Transfer Transformations of Shared Semantic Representations. 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. Lund jet images from generative and cycle-consistent adversarial networks. Autoregressive Policies for Continuous Control Deep Reinforcement Learning. HybridNetSeg: A Compact Hybrid Network fo …

Paper Group AWR 378

January 31, 2020

Preference-based Interactive Multi-Document Summarisation. Convolutional neural network models for cancer type prediction based on gene expression. Deep Interpretable Non-Rigid Structure from Motion. A Multi-cascaded Deep Model for Bilingual SMS Classification. An Open-Source Framework for Adaptive Traffic Signal Control. Black is to Criminal as Ca …

Paper Group AWR 395

January 31, 2020

GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables. Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. Scientific Stateme …

Paper Group AWR 398

January 31, 2020

Kernel-based Translations of Convolutional Networks. Newton vs the machine: solving the chaotic three-body problem using deep neural networks. Note on the bias and variance of variational inference. Learning to learn via Self-Critique. Validated Variational Inference via Practical Posterior Error Bounds. Signed Graph Attention Networks. Learning 2D …

Paper Group AWR 410

January 31, 2020

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. Direct information transfer rate optimisation for SSVEP-based BCI. Consistency by Agreement in Zero-shot Neural Machine Translation. Accelerating Extreme Classification via Adaptive Feature Agglomeration. Efficient Algorithms for Set-Valued Prediction in Multi-Cla …

Paper Group AWR 414

January 31, 2020

DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks. Implicit Semantic Data Augmentation for Deep Networks. Prose for a Painting. Topics to Avoid: Demoting Latent Confounds in Text Classification. Ranking Policy Gradient. Zero-shot transfer for implicit discourse relation classification. Urban Driving with Conditio …

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 445

January 31, 2020

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions. Recursive Estimation for Sparse Gaussian Process Regression. Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings. A Benchmark for Anomaly Segmentation. Style Transfo …

Paper Group AWR 450

January 31, 2020

Factor Graph Attention. Parameterized quantum circuits as machine learning models. Deep Audio Prior. NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal. PoMo: Generating Entity-Specific Post-Modifiers in Context. Densely Residual Laplacian Super-Resolution. DPSNet: End-to-end Deep Plane Sweep Stereo. Dual Graph Attention Netwo …

Paper Group ANR 201

January 30, 2020

Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle. Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. Deep learning-based development of personalized human head model with non-uniform conductivity for brain stimulation. Greedy AutoAugment. On Solving Minimax Optimization Locally: A Follow-the-Ri …