Denoising

Paper Group ANR 371

Paper Group ANR 371

April 2, 2020

HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression. Efficient Topological Layer based on Persistent Landscapes. Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning. COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning. Discriminative Feature …
Paper Group ANR 379

Paper Group ANR 379

April 2, 2020

Combining 3D Model Contour Energy and Keypoints for Object Tracking. Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. GAN Compression: Efficient Architectures for Interactive Conditional GANs. Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. Conditional Variational …
Paper Group ANR 392

Paper Group ANR 392

April 1, 2020

Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. From Route Instructions to Landmark Graphs. A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy. Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies. Acceleratin …
Paper Group ANR 393

Paper Group ANR 393

April 1, 2020

Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation. Stochastic Regret Minimization in Extensive-Form Games. Softmax Splatting for Video Frame Interpolation. Automatic lesion segmentation and Pathological Myopia classification in fundus images. Weakly Supervised Lesion Co-segmentation …
Paper Group ANR 399

Paper Group ANR 399

April 1, 2020

Quantum Machine Learning Algorithm for Knowledge Graphs. Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout. Proficiency Aware Multi-Agent Actor-Critic for Mixed Aerial and Ground Robot Teaming. Training for Speech Recognition on Coprocessors. Towards Deep Unsupervised SAR Despeckling with Blind-Spot Conv …
Paper Group ANR 406

Paper Group ANR 406

April 1, 2020

Structured GANs. Breaking hypothesis testing for failure rates. Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. Multiplex Word Embeddings for Selectional Preference Acquisition. Robust Quantization: One Model to Rule Them A …
Paper Group ANR 411

Paper Group ANR 411

April 1, 2020

NeuroQuery: comprehensive meta-analysis of human brain mapping. Adaptive Temporal Difference Learning with Linear Function Approximation. On Leveraging Pretrained GANs for Limited-Data Generation. Rethinking Randomized Smoothing for Adversarial Robustness. Automatic Machine Learning Derived from Scholarly Big Data. Bit Allocation for Multi-Task Col …
Paper Group ANR 412

Paper Group ANR 412

April 1, 2020

Ising-based Consensus Clustering on Specialized Hardware. Restore from Restored: Single Image Denoising with Pseudo Clean Image. Advaita: Bug Duplicity Detection System. Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets. A machine lear …
Paper Group ANR 420

Paper Group ANR 420

April 1, 2020

A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers. LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention. Dual Multi-head Co-attention for Multi-choice Reading Comprehension. Multiscale Sparsifying Transform Learning for Image Denoising. Laplacian Denoising Autoencoder. Robust an …
Paper Group ANR 447

Paper Group ANR 447

April 1, 2020

Depth Completion using a View Constrained Deep Prior. Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson’s Disease. Amplifying The Uncanny. Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially …
Paper Group ANR 448

Paper Group ANR 448

April 1, 2020

A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks. Translating Diffusion, Wavelets, and Regularisation into Residual Networks. Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials. Handling the Positive-Definite Constraint in the Bayesian Learning Rule. A Tutorial on Learni …
Paper Group ANR 465

Paper Group ANR 465

April 1, 2020

The Automated Inspection of Opaque Liquid Vaccines. ZSTAD: Zero-Shot Temporal Activity Detection. Higher order co-occurrence tensors for hypergraphs via face-splitting. Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes. It’s Not What Machines Can Learn, It’s What We Cannot Teach. Multi-Graph Convolution Collaborative Filterin …
Paper Group ANR 476

Paper Group ANR 476

April 1, 2020

A Unified Framework for Multiclass and Multilabel Support Vector Machines. Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach. Gaussianization Flows. Discrete graphical models – an optimization perspective. Reproducibility Challenge NeurIPS 2019 Report on “Competitive Gradient Descent”. Generalized Canonic …
Paper Group ANR 481

Paper Group ANR 481

April 1, 2020

C-DLinkNet: considering multi-level semantic features for human parsing. Intrinsic Motivation for Encouraging Synergistic Behavior. Learning to Represent Programs with Property Signatures. Segmentation of brain tumor on magnetic resonance imaging using a convolutional architecture. From Nesterov’s Estimate Sequence to Riemannian Acceleration. A Lab …
Paper Group ANR 482

Paper Group ANR 482

April 1, 2020

How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance. Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets. Improved dual channel pulse coupled neural network and its application to multi-focus image fusion. Adversa …
Paper Group ANR 500

Paper Group ANR 500

April 1, 2020

Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning. Connecting GANs and MFGs. AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance. Synthesis of Brain Tumor MR Images for Learning Data Augmentation. Meta-Learning Initializations for Low-Resource Drug Discovery. Bridging …
Paper Group ANR 502

Paper Group ANR 502

April 1, 2020

Precise Tradeoffs in Adversarial Training for Linear Regression. RelatIF: Identifying Explanatory Training Examples via Relative Influence. UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking. Trained Model Fusion for Object Detection using Gating Network. Unsupervisedly Learned Representations: Should the Quest b …
Paper Group ANR 509

Paper Group ANR 509

April 1, 2020

Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis. Evolutionary Neural Architecture Search for Retinal Vessel Segmentation. The side effect profile of Clozapine in real world data of three large mental hospitals. G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning. A Computational Approach …
Paper Group ANR 511

Paper Group ANR 511

April 1, 2020

Combating False Negatives in Adversarial Imitation Learning. Domain-Adversarial and -Conditional State Space Model for Imitation Learning. CO-Optimal Transport. A Probabilistic Framework for Imitating Human Race Driver Behavior. Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. Experimental Studies in …
Paper Group ANR 517

Paper Group ANR 517

April 1, 2020

Reconstructing the Noise Manifold for Image Denoising. Utilizing Deep Learning to Identify Drug Use on Twitter Data. Learning a distance function with a Siamese network to localize anomalies in videos. TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images. Towards an Efficient and Gene …
Paper Group ANR 520

Paper Group ANR 520

April 1, 2020

XPersona: Evaluating Multilingual Personalized Chatbot. Efficient Scene Text Detection with Textual Attention Tower. Vision based body gesture meta features for Affective Computing. Few-Shot Few-Shot Learning and the role of Spatial Attention. A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning. STRIPS Action Discovery. Stocha …
Paper Group NANR 102

Paper Group NANR 102

April 1, 2020

Multitask Soft Option Learning. FACE SUPER-RESOLUTION GUIDED BY 3D FACIAL PRIORS. Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features. Manifold Modeling in Embedded Space: A Perspective for Interpreting “Deep Image Prior”. Intriguing Properties of Adversarial Training at Scale. Tranquil Clouds: Neural Networks for …
Paper Group NANR 109

Paper Group NANR 109

April 1, 2020

BOOSTING ENCODER-DECODER CNN FOR INVERSE PROBLEMS. On Layer Normalization in the Transformer Architecture. Learning RNNs with Commutative State Transitions. Active Learning Graph Neural Networks via Node Feature Propagation. JAUNE: Justified And Unified Neural language Evaluation. Differential Privacy in Adversarial Learning with Provable Robustnes …
Paper Group NANR 110

Paper Group NANR 110

April 1, 2020

Equivariant Entity-Relationship Networks. Adversarial Inductive Transfer Learning with input and output space adaptation. Are Transformers universal approximators of sequence-to-sequence functions?. Generalizing Reinforcement Learning to Unseen Actions. Leveraging Simple Model Predictions for Enhancing its Performance. Learning to Transfer via Mode …
Paper Group NANR 112

Paper Group NANR 112

April 1, 2020

TSInsight: A local-global attribution framework for interpretability in time-series data. Connecting the Dots Between MLE and RL for Sequence Prediction. Quantum Semi-Supervised Kernel Learning. Meta-Graph: Few shot Link Prediction via Meta Learning. Learning transitional skills with intrinsic motivation. Distilling the Knowledge of BERT for Text G …
Paper Group NANR 116

Paper Group NANR 116

April 1, 2020

Probabilistic modeling the hidden layers of deep neural networks. Hierarchical Bayes Autoencoders. Influence-aware Memory for Deep Reinforcement Learning. DIVA: Domain Invariant Variational Autoencoder. Dynamic Graph Message Passing Networks. SoftLoc: Robust Temporal Localization under Label Misalignment. Unsupervised Temperature Scaling: Robust Po …
Paper Group NANR 117

Paper Group NANR 117

April 1, 2020

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. Masked Based Unsupervised Content Transfer. Wasserstein Adversarial Regularization (WAR) on label noise. Understanding and Improving Information Transfer in Multi-Task Learning. On the Pareto Efficiency of Quantized CNN. Spike-based causal inference for …
Paper Group NANR 127

Paper Group NANR 127

April 1, 2020

Learning scalable and transferable multi-robot/machine sequential assignment planning via graph embedding. Learning Generative Models using Denoising Density Estimators. Invertible generative models for inverse problems: mitigating representation error and dataset bias. XD: Cross-lingual Knowledge Distillation for Polyglot Sentence Embeddings. A Bi …