Papers
Sun 2 May 2021
67 papers
- Data-driven Weight Initialization with Sylvester Solvers
- Object detection for crabs in top-view seabed imagery
- Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping
- AI Risk Skepticism
- Learning Visually Guided Latent Actions for Assistive Teleoperation
- BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
- Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Dataset
- Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
- Larger-Scale Transformers for Multilingual Masked Language Modeling
- InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
- An Examination of Fairness of AI Models for Deepfake Detection
- Hard Encoding of Physics for Learning Spatiotemporal Dynamics
- High Dimensional Decision Making, Upper and Lower Bounds
- CARL-DTN: Context Adaptive Reinforcement Learning based Routing Algorithm in Delay Tolerant Network
- GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
- A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors
- CDR Based Trajectories: Tentative for Filtering Ping-pong Handover
- Planning for Proactive Assistance in Environments with Partial Observability
- Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
- Universal scaling laws in the gradient descent training of neural networks
- Altruism Design in Networked Public Goods Games
- Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning
- BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability
- Residual Enhanced Multi-Hypergraph Neural Network
- Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG
- SE-Harris and eSUSAN: Asynchronous Event-Based Corner Detection Using Megapixel Resolution CeleX-V Camera
- Event Argument Extraction using Causal Knowledge Structures
- Analysis of Machine Learning Approaches to Packing Detection
- On Feature Decorrelation in Self-Supervised Learning
- DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels
- BI-REC: Guided Data Analysis for Conversational Business Intelligence
- Unsupervised Anomaly Detection in MR Images using Multi-Contrast Information
- Surgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction
- Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
- Synthesized Difference in Differences
- Multi-Agent Routing and Scheduling Through Coalition Formation
- Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN
- Who's Afraid of Adversarial Transferability?
- Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach
- Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity
- A survey on VQA_Datasets and Approaches
- TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
- Feedback control of event cameras
- A structured proof of Kolmogorov's Superposition Theorem
- PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text
- Intelligent Conversational Android ERICA Applied to Attentive Listening and Job Interview
- AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
- Generation and frame characteristics of predefined evenly-distributed class centroids for pattern classification
- Model discovery in the sparse sampling regime
- A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle
- OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation
- AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
- Directional FDR Control for Sub-Gaussian Sparse GLMs
- Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
- pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models
- AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy
- Subspace Representation Learning for Few-shot Image Classification
- MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
- Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
- Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results
- Skin3D: Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Textured Meshes
- Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving
- Discovering Diverse Athletic Jumping Strategies
- Learning data association without data association: An EM approach to neural assignment prediction
- MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation
- RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users