Papers
Sat 26 Jun 2021
64 papers
- Probabilistic analysis of solar cell optical performance using Gaussian processes
- Utilizing a digital swarm intelligence platform to improve consensus among radiologists and exploring its applications
- Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams
- Answering Chinese Elementary School Social Study Multiple Choice Questions
- FCMI: Feature Correlation based Missing Data Imputation
- Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory
- Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines
- TANet++: Triple Attention Network with Filtered Pointcloud on 3D Detection
- Multi-stage Optimization based Adversarial Training
- Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
- Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning
- SpreadsheetCoder: Formula Prediction from Semi-structured Context
- Time-Series Representation Learning via Temporal and Contextual Contrasting
- Can An Image Classifier Suffice For Action Recognition?
- PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
- Image Classification with CondenseNeXt for ARM-Based Computing Platforms
- Real-time 3D Object Detection using Feature Map Flow
- Accelerating Recurrent Neural Networks for Gravitational Wave Experiments
- Radar Voxel Fusion for 3D Object Detection
- Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts
- Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice
- The Role of Contextual Information in Best Arm Identification
- Interflow: Aggregating Multi-layer Feature Mappings with Attention Mechanism
- Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
- Saying the Unseen: Video Descriptions via Dialog Agents
- A Graph-based approach to derive the geodesic distance on Statistical manifolds: Application to Multimedia Information Retrieval
- Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs
- Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree-Based Method
- The mbsts package: Multivariate Bayesian Structural Time Series Models in R
- Improved Approximation Algorithms for Individually Fair Clustering
- BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
- Improving Sequential Recommendation Consistency with Self-Supervised Imitation
- UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
- Contextual Inverse Optimization: Offline and Online Learning
- Semi-Supervised Deep Ensembles for Blind Image Quality Assessment
- The Feasibility and Inevitability of Stealth Attacks
- Mining atmospheric data
- Rise of the Autonomous Machines
- ShapeEditer: a StyleGAN Encoder for Face Swapping
- Descriptive Modeling of Textiles using FE Simulations and Deep Learning
- Explanatory Pluralism in Explainable AI
- Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images
- Benchmarking Differential Privacy and Federated Learning for BERT Models
- Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
- Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos
- OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments
- Functional Classwise Principal Component Analysis: A Novel Classification Framework
- Solar Irradiation Forecasting using Genetic Algorithms
- Autonomous Deep Quality Monitoring in Streaming Environments
- Continual Learning via Inter-Task Synaptic Mapping
- In-N-Out: Towards Good Initialization for Inpainting and Outpainting
- Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification
- Core Challenges in Embodied Vision-Language Planning
- A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
- Domain Adaptive YOLO for One-Stage Cross-Domain Detection
- Discovering Generalizable Skills via Automated Generation of Diverse Tasks
- Inverting and Understanding Object Detectors
- Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification
- Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models
- CAMS: Color-Aware Multi-Style Transfer
- Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
- Quantum Computing for Artificial Intelligence Based Mobile Network Optimization
- LNS-Madam: Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
- Midpoint Regularization: from High Uncertainty Training to Conservative Classification