Papers
Sat 10 Sep 2022
56 papers
- Diffusion Models in Vision: A SurveyDiffusion models → Diffusion foundations and sampling
- Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- Evaluation of Question Answering Systems: Complexity of judging a natural language
- Identifying epidemic related Tweets using noisy learning
- Safe Reinforcement Learning with Contrastive Risk Prediction
- Use Classifier as Generator
- APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning
- OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
- A Semantic Tableau Method for Argument Construction
- Active Learning for Optimal Intervention Design in Causal Models
- A Thermal Machine Learning Solver For Chip Simulation
- Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
- Data-driven, multi-moment fluid modeling of Landau damping
- Anticipating the Unseen Discrepancy for Vision and Language Navigation
- Batch Bayesian Optimization via Particle Gradient Flows
- Variational Autoencoder Kernel Interpretation and Selection for Classification
- A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives
- Shape Analysis for Pediatric Upper Body Motor Function Assessment
- People detection and social distancing classification in smart cities for COVID-19 by using thermal images and deep learning algorithms
- Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification
- Subdiffusive semantic evolution in Indo-European languages
- Explainable Image Quality Assessments in Teledermatological Photography
- Structured Q-learning For Antibody Design
- Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder
- Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning
- Reconstruction of Long-Term Historical Demand Data
- Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
- IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
- Ask Before You Act: Generalising to Novel Environments by Asking Questions
- Application of Machine Learning for Online Reputation Systems
- CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity
- An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision
- Examining stability of machine learning methods for predicting dementia at early phases of the disease
- LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection
- Large-Field Contextual Feature Learning for Glass Detection
- Revisiting Active Sets for Gaussian Process Decoders
- A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
- Real-time event simulation with frame-based cameras
- Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies
- Gradient Descent Temporal Difference-difference Learning
- Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
- Harnessing Abstractive Summarization for Fact-Checked Claim Detection
- An Analysis of the Differences Among Regional Varieties of Chinese in Malay Archipelago
- Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
- Code Compliance Assessment as a Learning Problem
- Self-supervised Human Mesh Recovery with Cross-Representation Alignment
- OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue
- Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport
- Causal Intervention for Fairness in Multi-behavior Recommendation
- Extended Feature Space-Based Automatic Melanoma Detection System
- Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives
- Explaining Results of Multi-Criteria Decision Making
- Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem
- Yes, DLGM! A novel hierarchical model for hazard classification
- Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity
- Deep Baseline Network for Time Series Modeling and Anomaly Detection