Papers
Sat 29 Jun 2024
122 papers
- Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase DiversityDeep reinforcement learning methods → Adversarial robustness and RL in finance
- H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on TablesLLM reasoning → Knowledge- and tool-augmented reasoning
- Guided Trajectory Generation with Diffusion Models for Offline Model-based OptimizationDiffusion models → Diffusion foundations and sampling
- Toward a Diffusion-Based Generalist for Dense Vision TasksDiffusion models → Image generation, text-to-image and editing
- A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationDeep reinforcement learning methods → RL for games and combinatorial optimization
- A Bayesian Solution To The Imitation GapOffline RL and imitation learning from data → Imitation learning methods
- MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient EvaluationLLM reasoning → Multimodal reasoning +1
- BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical ScienceLLM agents and tool use → Medical and scientific domain agents
- A Rule-Based Behaviour Planner for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- Advancing Process Verification for Large Language Models via Tree-Based Preference LearningLLM reasoning → Mathematical reasoning
- Medical Knowledge Integration into Reinforcement Learning Algorithms for Dynamic Treatment RegimesDeep reinforcement learning methods → RL for clinical treatment and surgery
- Revisiting Sparse Rewards for Goal-Reaching Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- OccFusion: Rendering Occluded Humans with Generative Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- A Review of Safe Reinforcement Learning Methods for Modern Power SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- Variable Time Step Reinforcement Learning for Robotic ApplicationsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction
- Urban Visual Appeal According to ChatGPT: Contrasting AI and Human Insights
- Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study
- Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition
- Quantum Algorithms for Weighted Constrained Sampling and Weighted Model Counting
- Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
- PhishNet: A Phishing Website Detection Tool using XGBoost
- The OPS-SAT benchmark for detecting anomalies in satellite telemetry
- Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems
- A survey on the impacts of recommender systems on users, items, and human-AI ecosystems
- SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding
- Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products
- Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization
- Deciphering interventional dynamical causality from non-intervention complex systems
- Answering real-world clinical questions using large language model based systems
- Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
- Accelerating MRI with Longitudinally-informed Latent Posterior Sampling
- AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis
- Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders
- Detecting and Identifying Selection Structure in Sequential Data
- Real-Time Energy Measurement for Non-Intrusive Well-Being Monitoring of Elderly People -- a Case Study
- A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis
- Test Case Features as Hyper-heuristics for Inductive Programming
- Stochastic stem bucking using mixture density neural networks
- Leveraging Ontologies to Document Bias in Data
- ShapG: new feature importance method based on the Shapley value
- Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
- Aeroengine performance prediction using a physical-embedded data-driven method
- Intrinsic PAPR: Tackling Misattribution in 3D Intrinsic Decomposition via Proximity Attention Point Rendering
- ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
- LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
- Graph Neural Networks Gone Hogwild
- Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model
- Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models
- PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models
- It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization
- Towards Massive Multilingual Holistic Bias
- Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition
- Development of an interactive GUI using MATLAB for the detection of type and stage of Breast Tumor
- Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks
- Large Language Models for Power Scheduling: A User-Centric Approach
- Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task
- MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis
- VcLLM: Video Codecs are Secretly Tensor Codecs
- Characterizing Continual Learning Scenarios and Strategies for Audio Analysis
- Open-Source Conversational AI with SpeechBrain 1.0
- pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
- Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
- Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit
- Self-Translate-Train: Enhancing Cross-Lingual Transfer of Large Language Models via Inherent Capability
- PerSEval: Assessing Personalization in Text Summarizers
- KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
- Fully tensorial approach to hypercomplex-valued neural networks
- Diving Deeper Into Pedestrian Behavior Understanding: Intention Estimation, Action Prediction, and Event Risk Assessment
- AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients
- A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models
- Brevity is the soul of wit: Pruning long files for code generation
- Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones
- Time Series Clustering with General State Space Models via Stochastic Variational Inference
- On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents
- eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts.A Cross-Genre Survey
- Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs
- Explainability of Machine Learning Models under Missing Data
- Parametric Primitive Analysis of CAD Sketches with Vision Transformer
- SHADE: Semantic Hypernym Annotator for Domain-specific Entities -- DnD Domain Use Case
- Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
- PUZZLES: A Benchmark for Neural Algorithmic Reasoning
- Formalising Anti-Discrimination Law in Automated Decision Systems
- Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
- A Study on Effect of Reference Knowledge Choice in Generating Technical Content Relevant to SAPPhIRE Model Using Large Language Model
- Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
- Weighted mesh algorithms for general Markov decision processes: Convergence and tractability
- Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching
- FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection
- Towards Universal Mesh Movement Networks
- GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
- The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
- Axiomatization of Gradient Smoothing in Neural Networks
- How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
- SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix
- Financial Knowledge Large Language Model
- JSCDS: A Core Data Selection Method with Jason-Shannon Divergence for Caries RGB Images-Efficient Learning
- From RAG to RICHES: Retrieval Interlaced with Sequence Generation
All 122
- Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
- PhyTracker: An Online Tracker for Phytoplankton
- KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering
- Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis
- Physics-informed active learning with simultaneous weak-form latent space dynamics identification
- Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
- Machine Learning Models for Dengue Forecasting in Singapore
- Teola: Towards End-to-End Optimization of LLM-based Applications
- LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
- LiteSearch: Efficacious Tree Search for LLM
- Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck
- UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
- Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture
- Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
- UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation
- SolarSAM: Building-scale Photovoltaic Potential Assessment Based on Segment Anything Model (SAM) and Remote Sensing for Emerging City
- A deep neural network framework for dynamic multi-valued mapping estimation and its applications
- Deep Neural Networks with Symplectic Preservation Properties
- IVCA: Inter-Relation-Aware Video Complexity Analyzer
- PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks
- Minimum Reduced-Order Models via Causal Inference
- Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound