Papers
Fri 21 May 2021
141 papers
- Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Distributionally Robust Surrogate Optimal Control for High-Dimensional SystemsOffline RL and imitation learning from data → Offline RL algorithms
- A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character ControlOffline RL and imitation learning from data → Imitation learning methods
- Understanding Uncertainty in Bayesian Deep Learning
- A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation
- Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
- Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning
- Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
- WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection
- CEREC: A Corpus for Entity Resolution in Email Conversations
- Automatic calibration of time of flight based non-line-of-sight reconstruction
- Embracing New Techniques in Deep Learning for Estimating Image Memorability
- Privacy Amplification Via Bernoulli Sampling
- Parallelizing Contextual Bandits
- Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
- Properties of the After Kernel
- Modelling the development of counting with memory-augmented neural networks
- High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis
- Puck localization and multi-task event recognition in broadcast hockey videos
- Hyper-Convolution Networks for Biomedical Image Segmentation
- Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net
- GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching
- GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies
- HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning
- Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge
- Semi-Supervised Audio Representation Learning for Modeling Beehive Strengths
- BCNet: Searching for Network Width with Bilaterally Coupled Network
- SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators
- Intriguing Properties of Vision Transformers
- Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection
- Spatial-temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction
- Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions
- Generalization Error Bound for Hyperbolic Ordinal Embedding
- Geometric variational inference
- Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
- Elliptical Ordinal Embedding
- Distinguishing artefacts: evaluating the saturation point of convolutional neural networks
- ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
- WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
- Driving-Signal Aware Full-Body Avatars
- Covariance-Free Sparse Bayesian Learning
- Compositional Fine-Grained Low-Shot Learning
- Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
- Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units
- Low-Memory Implementations of Ridge Solutions for Broad Learning System with Incremental Learning
- LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
- Self-learning for weakly supervised Gleason grading of local patterns
- Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
- Sheaves as a Framework for Understanding and Interpreting Model Fit
- High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy
- Word-level Text Highlighting of Medical Texts for Telehealth Services
- Language Understanding for Field and Service Robots in a Priori Unknown Environments
- Computational Efficient Approximations of the Concordance Probability in a Big Data Setting
- Learning Visible Connectivity Dynamics for Cloth Smoothing
- Learning general and distinctive 3D local deep descriptors for point cloud registration
- Entropy-based Discovery of Summary Causal Graphs in Time Series
- 3D Human Pose Regression using Graph Convolutional Network
- Adaptive Filters in Graph Convolutional Neural Networks
- An Efficient Training Approach for Very Large Scale Face Recognition
- A Precise Performance Analysis of Support Vector Regression
- LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters
- Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
- Development and evaluation of an Explainable Prediction Model for Chronic Kidney Disease Patients based on Ensemble Trees
- Functionals in the Clouds: An abstract architecture of serverless Cloud-Native Apps
- Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices
- Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network
- Quantifying the mini-batching error in Bayesian inference for Adaptive Langevin dynamics
- Fact-driven Logical Reasoning for Machine Reading Comprehension
- Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks
- Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
- On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
- Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems
- Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints
- Sharing Pain: Using Pain Domain Transfer for Video Recognition of Low Grade Orthopedic Pain in Horses
- Pretrained Language Models for Text Generation: A Survey
- Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets
- Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
- Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach
- Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
- On Explaining Random Forests with SAT
- Maximum and Leaky Maximum Propagation
- Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media
- Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging
- Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval
- Measuring the impact of spammers on e-mail and Twitter networks
- AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images
- An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma
- Helsinki Deblur Challenge 2021: description of photographic data
- Multi-color balance for color constancy
- Random Hash Code Generation for Cancelable Fingerprint Templates using Vector Permutation and Shift-order Process
- Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
- GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection
- Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
- Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
- DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation
- Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework
- Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model
- Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning
- Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing
- Rule Augmented Unsupervised Constituency Parsing
All 141
- Pyramid Fusion Dark Channel Prior for Single Image Dehazing
- AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
- Combining Transformer Generators with Convolutional Discriminators
- Semantic Representation for Dialogue Modeling
- A Non-Linear Structural Probe
- Efficient Temporal Piecewise-Linear Numeric Planning with Lazy Consistency Checking
- Rotation invariant CNN using scattering transform for image classification
- Explainable Machine Learning with Prior Knowledge: An Overview
- Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data
- Variational Quantum Classifiers Through the Lens of the Hessian
- Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection
- GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers
- Revisiting the Negative Data of Distantly Supervised Relation Extraction
- Global Context for improving recognition of Online Handwritten Mathematical Expressions
- Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue
- ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
- On Instrumental Variable Regression for Deep Offline Policy Evaluation
- Training Bi-Encoders for Word Sense Disambiguation
- Safety Metrics for Semantic Segmentation in Autonomous Driving
- Certification of Iterative Predictions in Bayesian Neural Networks
- Visual representation of negation: Real world data analysis on comic image design
- A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation
- Deep-Learned Event Variables for Collider Phenomenology
- Backdoor Attacks on Self-Supervised Learning
- Probabilistic Sufficient Explanations
- Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws
- TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
- IDEAL: Independent Domain Embedding Augmentation Learning
- Guidance and Teaching Network for Video Salient Object Detection
- EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
- Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Ito Diffusions
- Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks
- Deep Learning-based Implicit CSI Feedback in Massive MIMO
- Variational Gaussian Topic Model with Invertible Neural Projections
- Escaping Saddle Points with Compressed SGD
- DSR: Direct Simultaneous Registration for Multiple 3D Images
- An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images
- Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
- Anomaly Mining -- Past, Present and Future
- An Optical physics inspired CNN approach for intrinsic image decomposition
- Towards Automatic Sizing for PPE with a Point Cloud Based Variational Autoencoder