Papers
Sat 17 Jun 2023
78 papers
- Image Harmonization with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text GenerationSynthetic data and self-improvement for LLMs → Self-training for few-shot NLP
- FP-IRL: Fokker--Planck Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision ProcessesOffline RL and imitation learning from data → Inverse reinforcement learning
- CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Text-Driven Foley Sound Generation With Latent Diffusion ModelDiffusion models → Audio, speech and music
- CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language NavigationLLM agents and tool use → Multimodal and embodied agents
- Active Policy Improvement from Multiple Black-box OraclesOffline RL and imitation learning from data → Imitation learning methods
- Long-term Effects of Temperature Variations on Economic Growth: A Machine Learning Approach
- Towards exploring adversarial learning for anomaly detection in complex driving scenes
- RECAP-KG: Mining Knowledge Graphs from Raw GP Notes for Remote COVID-19 Assessment in Primary Care
- Empowering NLG: Offline Reinforcement Learning for Informal Summarization in Online Domains
- What drives the acceptance of AI technology?: the role of expectations and experiences
- A survey on deep learning approaches for data integration in autonomous driving system
- Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior
- Object counting from aerial remote sensing images: application to wildlife and marine mammals
- Variational Sequential Optimal Experimental Design using Reinforcement Learning
- Co-Certificate Learning with SAT Modulo Symmetries
- Understanding Certified Training with Interval Bound Propagation
- Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids
- Multilingual Multiword Expression Identification Using Lateral Inhibition and Domain Adaptation
- Iterative Hierarchy and Ranking Process (IHRP): A Novel Effective Hierarchy Method for Densely Connected Systems and Case Study in Student Performance Assessment
- Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping
- The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
- Enhancing the Prediction of Emotional Experience in Movies using Deep Neural Networks: The Significance of Audio and Language
- Distributed Semi-Supervised Sparse Statistical Inference
- GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks
- Breaking On-device Training Memory Wall: A Systematic Survey
- Development of a Deep Learning System for Intra-Operative Identification of Cancer Metastases
- A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
- Ladder: A software to label images, detect objects and deploy models recurrently for object detection
- Non-asymptotic System Identification for Linear Systems with Nonlinear Policies
- Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation
- MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting
- LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning
- Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
- MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images
- Typo-Robust Representation Learning for Dense Retrieval
- DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
- Fast Fourier Inception Networks for Occluded Video Prediction
- Do as I can, not as I get
- Tailoring Machine Learning for Process Mining
- Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models
- Fair Causal Feature Selection
- An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
- A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease
- Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort
- Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort
- AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach
- Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation
- FuzzyLogic.jl: a Flexible Library for Efficient and Productive Fuzzy Inference
- FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue
- Adversaries with Limited Information in the Friedkin--Johnsen Model
- Efficient HDR Reconstruction from Real-World Raw Images
- Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing
- Deep Huber quantile regression networks
- Understanding Revision Behavior in Adaptive Writing Support Systems for Education
- MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction
- Reorganizing Educational Institutional Domain using Faceted Ontological Principles
- Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning
- A New Perspective for Shuttlecock Hitting Event Detection
- DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
- Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction
- Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement
- OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
- Adaptive Strategies in Non-convex Optimization
- Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data
- Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLS
- Old and New Minimalism: a Hopf algebra comparison
- NBMOD: Find It and Grasp It in Noisy Background
- Large Generative AI Models for Telecom: The Next Big Thing?
- Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model
- Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation
- Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection
- Federated Few-shot Learning
- GLIMMER: generalized late-interaction memory reranker
- Genes in Intelligent Agents
- Bloated Disclosures: Can ChatGPT Help Investors Process Information?
- Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm