Papers
Wed 28 Jul 2021
151 papers
- Quantum Artificial Intelligence for the Science of Climate Change
- Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
- Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data
- Sentiment Analysis of the COVID-related r/Depression Posts
- Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis
- VirtualConductor: Music-driven Conducting Video Generation System
- Adding Visibility to Visibility Graphs: Weighting Visibility Analysis with Attenuation Coefficients
- Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels
- Deep Neural Network Approach to Estimate Early Worst-Case Execution Time
- Monte Carlo Tree Search for high precision manufacturing
- Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management
- A Machine-Learning-Based Direction-of-Origin Filter for the Identification of Radio Frequency Interference in the Search for Technosignatures
- Developing Open Source Educational Resources for Machine Learning and Data Science
- Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones
- "Excavating AI" Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset
- Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course
- Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis
- Discovering User-Interpretable Capabilities of Black-Box Planning Agents
- Investigating Text Simplification Evaluation
- Competitive Control
- Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
- Demand Forecasting in Smart Grid Using Long Short-Term Memory
- Similarity and symmetry measures based on fuzzy descriptors of image objects` composition
- Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection
- Egyptian Sign Language Recognition Using CNN and LSTM
- Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
- Lighter Stacked Hourglass Human Pose Estimation
- Learned upper bounds for the Time-Dependent Travelling Salesman Problem
- Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection
- Imbalanced Adversarial Training with Reweighting
- Sign and Search: Sign Search Functionality for Sign Language Lexica
- Discovering 3D Parts from Image Collections
- Underwater inspection and intervention dataset
- United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Tasks
- Adaptation and Generalization for Unknown Sensitive Factors of Variations
- A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
- Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes
- Large sample spectral analysis of graph-based multi-manifold clustering
- Domain-matched Pre-training Tasks for Dense Retrieval
- To Boost or not to Boost: On the Limits of Boosted Neural Networks
- Detecting Abusive Albanian
- Fast and Scalable Image Search For Histology
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
- Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues
- Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
- TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
- Towards Robustness Against Natural Language Word Substitutions
- Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates
- CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
- The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
- Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
- The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior
- Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition
- Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective
- Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
- Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
- Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs
- Inferring bias and uncertainty in camera calibration
- Satisfiability and Synthesis Modulo Oracles
- The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
- Reenvisioning Collaborative Filtering vs Matrix Factorization
- Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
- Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
- A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
- Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans
- Marine Vehicles Localization Using Grid Cells for Path Integration
- Surrogate Model-Based Explainability Methods for Point Cloud NNs
- Artificial Intelligence in Healthcare: Lost In Translation?
- CarveNet: Carving Point-Block for Complex 3D Shape Completion
- Self-learning Emulators and Eigenvector Continuation
- MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
- Functorial String Diagrams for Reverse-Mode Automatic Differentiation
- AI assisted method for efficiently generating breast ultrasound screening reports
- Task-Specific Normalization for Continual Learning of Blind Image Quality Models
- Multi-Scale Feature and Metric Learning for Relation Extraction
- Neural Rays for Occlusion-aware Image-based Rendering
- Predicting the Future from First Person (Egocentric) Vision: A Survey
- High-speed object detection with a single-photon time-of-flight image sensor
- Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens
- XFL: Naming Functions in Binaries with Extreme Multi-label Learning
- SimROD: A Simple Adaptation Method for Robust Object Detection
- Evaluating the Use of Reconstruction Error for Novelty Localization
- Learning to solve complex tasks by growing knowledge culturally across generations
- Graph Constrained Data Representation Learning for Human Motion Segmentation
- Snippet Policy Network for Multi-class Varied-length ECG Early Classification
- Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
- A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemble
- Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse
- Self-Supervised Inference in State-Space Models
- Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators
- WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
- Exploring and mining attributed sequences of interactions
- Chance constrained conic-segmentation support vector machine with uncertain data
- Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
- Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
- Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection
- Predicting Patch Correctness Based on the Similarity of Failing Test Cases
- Arabic aspect sentiment polarity classification using BERT
- The loss landscape of deep linear neural networks: a second-order analysis
- Pseudo-LiDAR Based Road Detection
All 151
- A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery
- Rank-based verification for long-term face tracking in crowded scenes
- Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
- A Reflection on Learning from Data: Epistemology Issues and Limitations
- Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
- A Distributed Intelligence Architecture for B5G Network Automation
- Learned Optimizers for Analytic Continuation
- Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
- Improving Multi-View Stereo via Super-Resolution
- TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021
- Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
- Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
- Bayesian Autoencoders for Drift Detection in Industrial Environments
- A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
- C^3Net: End-to-End deep learning for efficient real-time visual active camera control
- Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
- Normalization Matters in Weakly Supervised Object Localization
- DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices
- SONG: Self-Organizing Neural Graphs
- An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization
- Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations
- Neural Network Approximation of Refinable Functions
- Goal-Oriented Script Construction
- AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
- Packet Routing with Graph Attention Multi-agent Reinforcement Learning
- Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
- Conflict Detection in IoT-based Smart Homes
- New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
- Learning with Multiclass AUC: Theory and Algorithms
- Accurate Grid Keypoint Learning for Efficient Video Prediction
- Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)
- Towards Emotion-Aware Agents For Negotiation Dialogues
- Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
- Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
- Shape Controllable Virtual Try-on for Underwear Models
- Improving Video Instance Segmentation via Temporal Pyramid Routing
- Global Aggregation then Local Distribution for Scene Parsing
- Homogeneous Architecture Augmentation for Neural Predictor
- Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
- Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction
- Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
- Unsupervised Monocular Depth Estimation in Highly Complex Environments
- Insights from Generative Modeling for Neural Video Compression
- Unsupervised Learning of Neurosymbolic Encoders
- Robust and Active Learning for Deep Neural Network Regression
- Subjective evaluation of traditional and learning-based image coding methods
- Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
- Image color correction, enhancement, and editing
- A Thorough Review on Recent Deep Learning Methodologies for Image Captioning
- Experimenting with Self-Supervision using Rotation Prediction for Image Captioning
- Pixyz: a Python library for developing deep generative models