Papers
Thu 7 Jan 2021
128 papers
- Data Poisoning Attacks to Deep Learning Based Recommender SystemsLLM safety and security → Membership inference attacks
- Knowledge Distillation in Iterative Generative Models for Improved Sampling SpeedDiffusion models → Diffusion foundations and sampling +1
- End-2-End COVID-19 Detection from Breath & Cough Audio
- Dairy Cow rumination detection: A deep learning approach
- Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits
- How Much Automation Does a Data Scientist Want?
- Real-Time Optimized N-gram For Mobile Devices
- Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation
- Language Detection Engine for Multilingual Texting on Mobile Devices
- BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values
- Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
- Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy
- Dataset Definition Standard (DDS)
- Off-Line Arabic Handwritten Words Segmentation using Morphological Operators
- A Framework for Deep Constrained Clustering
- SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning
- The Nonconvex Geometry of Linear Inverse Problems
- Learning Grammar of Complex Activities via Deep Neural Networks
- Combining pretrained CNN feature extractors to enhance clustering of complex natural images
- Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
- Transfer Learning Between Different Architectures Via Weights Injection
- Learning Guided Electron Microscopy with Active Acquisition
- Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
- Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
- Neural Storage: A New Paradigm of Elastic Memory
- A Novel Regression Loss for Non-Parametric Uncertainty Optimization
- The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
- Distribution-Free, Risk-Controlling Prediction Sets
- TrackFormer: Multi-Object Tracking with Transformers
- PVA: Pixel-aligned Volumetric Avatars
- Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
- Where2Act: From Pixels to Actions for Articulated 3D Objects
- Self-Supervised Pretraining of 3D Features on any Point-Cloud
- The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks
- Zero-shot sim-to-real transfer of tactile control policies for aggressive swing-up manipulation
- SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
- BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification
- L2PF -- Learning to Prune Faster
- Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
- Adversarial Machine Learning for 5G Communications Security
- Metric Learning for Session-based Recommendations
- Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization
- CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
- Argument Schemes and Dialogue for Explainable Planning
- From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation
- More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination
- A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
- qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems
- Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
- Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm
- Automatic identification of outliers in Hubble Space Telescope galaxy images
- Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis
- A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea
- On the Convergence of Tsetlin Machines for the XOR Operator
- MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging
- Towards Understanding Learning in Neural Networks with Linear Teachers
- MSED: a multi-modal sleep event detection model for clinical sleep analysis
- A spin-glass model for the loss surfaces of generative adversarial networks
- Few-Shot Learning with Class Imbalance
- Towards a Smart Data Processing and Storage Model
- Merging with unknown reliability
- Learning Anthropometry from Rendered Humans
- Disentangling homophily, community structure and triadic closure in networks
- Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN
- Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods
- Bridging In- and Out-of-distribution Samples for Their Better Discriminability
- The joint role of geometry and illumination on material recognition
- Corner case data description and detection
- Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
- Robust Text CAPTCHAs Using Adversarial Examples
- Distances with mixed type variables some modified Gower's coefficients
- Active learning for object detection in high-resolution satellite images
- GAN-Control: Explicitly Controllable GANs
- PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation
- Multimodal Gait Recognition for Neurodegenerative Diseases
- Information-theoretic bounds on quantum advantage in machine learning
- Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines
- Incorporating Vision Bias into Click Models for Image-oriented Search Engine
- Associated Spatio-Temporal Capsule Network for Gait Recognition
- Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1
- Machine learning dismantling and early-warning signals of disintegration in complex systems
- RobustSleepNet: Transfer learning for automated sleep staging at scale
- Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification
- Drift anticipation with forgetting to improve evolving fuzzy system
- Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time
- Detecting Suspicious Events in Fast Information Flows
- Towards Optimally Efficient Search with Deep Learning for Large-Scale MIMO Systems
- Simplified DOM Trees for Transferable Attribute Extraction from the Web
- Progressive Self-Guided Loss for Salient Object Detection
- On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques
- Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso
- Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
- Homonym Identification using BERT -- Using a Clustering Approach
- A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning
- Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
- Detecting Log Anomalies with Multi-Head Attention (LAMA)
- Multi-scale Information Assembly for Image Matting
- SDGNN: Learning Node Representation for Signed Directed Networks
- Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
- VHS to HDTV Video Translation using Multi-task Adversarial Learning
All 128
- Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
- Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning
- Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts
- Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
- Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
- Architectural Patterns for the Design of Federated Learning Systems
- Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
- OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
- Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
- M"obiusE: Knowledge Graph Embedding on M"obius Ring
- Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity
- Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning
- SDP Achieves Exact Minimax Optimality in Phase Synchronization
- Multitask Learning for Emotion and Personality Detection
- DICE: Deep Significance Clustering for Outcome-Aware Stratification
- User Response Prediction in Online Advertising
- Max-Affine Spline Insights Into Deep Network Pruning
- Learning Temporal Dynamics from Cycles in Narrated Video
- Infinitely Wide Tensor Networks as Gaussian Process
- Identification of Latent Variables From Graphical Model Residuals
- Copula Quadrant Similarity for Anomaly Scores
- A design of human-like robust AI machines in object identification
- GraphHop: An Enhanced Label Propagation Method for Node Classification
- Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
- Analyzing the Stability of Non-coplanar Circumbinary Planets using Machine Learning
- A Note on Rough Set Algebra and Core Regular Double Stone Algebras
- Coding for Distributed Multi-Agent Reinforcement Learning
- Directed mixed membership stochastic blockmodel