Papers
Sat 27 Nov 2021
76 papers
- Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving
- Offline Neural Contextual Bandits: Pessimism, Optimization and GeneralizationOffline RL and imitation learning from data → Offline RL algorithms
- The Hierarchical Organization of Syntax
- Investigating the usefulness of Quantum Blur
- The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist
- Roadmap for Edge AI: A Dagstuhl Perspective
- Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields
- Learning to Transfer for Traffic Forecasting via Multi-task Learning
- A Review on Graph Neural Network Methods in Financial Applications
- ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
- Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach
- Nonparametric Topological Layers in Neural Networks
- An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation
- Answer Generation for Questions With Multiple Information Sources in E-Commerce
- Factor-augmented tree ensembles
- Exploring Low-Cost Transformer Model Compression for Large-Scale Commercial Reply Suggestions
- Targeted Supervised Contrastive Learning for Long-Tailed Recognition
- Learning Continuous Environment Fields via Implicit Functions
- An analysis of document graph construction methods for AMR summarization
- Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics
- NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning
- Language models in word sense disambiguation for Polish
- Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development
- Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection
- Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages
- Tapping BERT for Preposition Sense Disambiguation
- Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
- Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces
- Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow
- Safe Screening for Sparse Conditional Random Fields
- Understanding Anharmonic Effects on Hydrogen Desorption Characteristics of MgnH2n Nanoclusters by ab initio trained Deep Neural Network
- A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation
- Calibrated Feature Decomposition for Generalizable Person Re-Identification
- Modeling VI and VDRL feedback functions: searching normative rules through computational simulation
- Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression
- A Practical Contrastive Learning Framework for Single-Image Super-Resolution
- Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution
- Transformed K-means Clustering
- Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification
- Fast and Informative Model Selection using Learning Curve Cross-Validation
- Pose Representations for Deep Skeletal Animation
- AdaDM: Enabling Normalization for Image Super-Resolution
- A Quantum-like Model for Predicting Human Decisions in the Entangled Social Systems
- Towards Understanding the Impact of Model Size on Differential Private Classification
- Head and Body: Unified Detector and Graph Network for Person Search in Media
- Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection
- ML-based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks
- A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems
- Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
- Normative Disagreement as a Challenge for Cooperative AI
- A New Multifractal-based Deep Learning Model for Text Mining
- Why KDAC? A general activation function for knowledge discovery
- A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process
- Temporal Context Mining for Learned Video Compression
- Adaptive Image Transformations for Transfer-based Adversarial Attack
- Adaptive Perturbation for Adversarial Attack
- Towards Principled Disentanglement for Domain Generalization
- DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition
- Federated Deep Learning in Electricity Forecasting: An MCDM Approach
- Partner Personas Generation for Diverse Dialogue Generation
- Natural Language Processing in-and-for Design Research
- Average Outward Flux Skeletons for Environment Mapping and Topology Matching
- FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
- On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
- Recognition and Co-Analysis of Pedestrian Activities in Different Parts of Road using Traffic Camera Video
- Video Frame Interpolation Transformer
- Video Content Classification using Deep Learning
- Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports
- Document Layout Analysis with Aesthetic-Guided Image Augmentation
- Factorized Fourier Neural Operators
- A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
- LAFITE: Towards Language-Free Training for Text-to-Image Generation
- Benchmarking Shadow Removal for Facial Landmark Detection and Beyond
- Learning from learning machines: a new generation of AI technology to meet the needs of science
- OmiTrans: generative adversarial networks based omics-to-omics translation framework
- Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature