Papers
Sat 19 Oct 2024
167 papers
- GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh SmoothingDeep reinforcement learning methods → RL with diffusion and flow models
- Bias Amplification: Large Language Models as Increasingly Biased MediaSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement LearningEnd-to-end autonomous driving → Cooperative and V2X driving
- Augmented Lagrangian-Based Safe Reinforcement Learning Approach for Distribution System Volt/VAR ControlDeep reinforcement learning methods → RL for energy, networks and operations
- Action abstractions for amortized samplingDeep reinforcement learning methods → RL with diffusion and flow models
- An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-MakingLLM agents and tool use → Social simulation and multi-agent debate
- SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent EvaluationLLM agents and tool use → GUI and mobile agents
- Evaluating Deep Unlearning in Large Language ModelsLLM safety and security → Machine unlearning
- Collaborative State Fusion in Partially Known Multi-agent EnvironmentsLLM agents and tool use → Multimodal and embodied agents
- TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-CheckingLLM reasoning → Reasoning benchmarks and evaluation
- Generalized Flow Matching for Transition Dynamics ModelingDiffusion models → Flow matching, time series and science
- Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning FrameworksDeep reinforcement learning methods → Safe and constrained RL
- Mean Field LQG Social Optimization: A Reinforcement Learning ApproachDeep reinforcement learning methods → RL for games and combinatorial optimization
- On Designing Effective RL Reward at Training Time for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language ModelsRetrieval-augmented generation → Privacy and security of RAG
- GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNetsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Spatial-Mamba: Effective Visual State Space Models via Structure-aware State FusionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- LLaVA-Ultra: Large Chinese Language and Vision Assistant for UltrasoundMultimodal LLMs / vision-language models → Medical vision-language models
- MorphAgent: Empowering Agents through Self-Evolving Profiles and Decentralized CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic IncentivesLLM safety and security → Federated unlearning and poisoning
- Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and OptimizationDiffusion models → Flow matching, time series and science
- A Novel Reinforcement Learning Model for Post-Incident Malware InvestigationsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Group Diffusion Transformers are Unsupervised Multitask LearnersDiffusion models → Image generation, text-to-image and editing
- MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- DiffuseST: Unleashing the Capability of the Diffusion Model for Style TransferDiffusion models → Image generation, text-to-image and editing
- AutoFPDesigner: Automated Flight Procedure Design Based on Multi-Agent Large Language ModelLLM agents and tool use → Multimodal and embodied agents
- Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept GenerationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement LearningMixture-of-experts → MoE in reinforcement learning and robotics +1
- Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce DemonstrationsOffline RL and imitation learning from data → Real-world robot offline RL
- On the Convergence and Straightness of Rectified FlowDiffusion models → Flow matching, time series and science
- MultiViewDx: Evidence-Linked Multi-View Clinical DiagnosisMultimodal LLMs / vision-language models → Medical vision-language models
- ImmerseDiffusion: A Generative Spatial Audio Latent Diffusion ModelDiffusion models → Audio, speech and music
- Baichuan Alignment Technical ReportLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Imprompter: Tricking LLM Agents into Improper Tool UseLLM agents and tool use → Agent threats, guardrails and governance
- Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One StepDiffusion models → Diffusion foundations and sampling +1
- Semantic Information G Theory for Range Control with Tradeoff between Purposiveness and Efficiency
- Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
- GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration
- Stool Recognition for Colorectal Cancer Detection through Deep Learning
- Team Ryu's Submission to SIGMORPHON 2024 Shared Task on Subword Tokenization
- Conformal Predictive Portfolio Selection
- Exploring Quantum Neural Networks for Demand Forecasting
- End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach
- The Solution for Single Object Tracking Task of Perception Test Challenge 2024
- Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
- A Semidefinite Relaxation Approach for Fair Graph Clustering
- Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image
- Chasing Random: Instruction Selection Strategies Fail to Generalize
- Robust Low-rank Tensor Train Recovery
- AutoFLUKA: A Large Language Model Based Framework for Automating Monte Carlo Simulations in FLUKA
- Deep Learning Foundation and Pattern Models: Challenges in Hydrological Time Series
- A Predictive Approach To Enhance Time-Series Forecasting
- Boardwalk Empire: How Generative AI is Revolutionizing Economic Paradigms
- Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning
- Unsupervised Domain Adaptation Approaches for Chessboard Recognition
- Learning Nonholonomic Dynamics with Constraint Discovery
- CLIPtortionist: Zero-shot Text-driven Deformation for Manufactured 3D Shapes
- R-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data
- Fine-tuning foundational models to code diagnoses from veterinary health records
- The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse
- GUIDE: Real-Time Human-Shaped Agents
- HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
- GUIDEd Agents: Enhancing Navigation Policies through Task-Specific Uncertainty Abstraction in Localization-Limited Environments
- Adaptive Pruning with Module Robustness Sensitivity: Balancing Compression and Robustness
- Implicit neural representation for free-breathing MR fingerprinting (INR-MRF): co-registered 3D whole-liver water T1, water T2, proton density fat fraction, and R2* mapping
- Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation
- Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation
- Linguistic Fuzzy Information Evolution with Random Leader Election Mechanism for Decision-Making Systems
- Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction
- Optimizing Large Language Models for Dynamic Constraints through Human-in-the-Loop Discriminators
- Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject Training
- Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging
- Simulation-Based Optimistic Policy Iteration For Multi-Agent MDPs with Kullback-Leibler Control Cost
- On the Convergence Theory of Pipeline Gradient-based Analog In-memory Training
- MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification
- Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
- A survey of neural-network-based methods utilising comparable data for finding translation equivalents
- Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
- CAST: Corpus-Aware Self-similarity Enhanced Topic modelling
- Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
- MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science
- Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning
- Accelerating k-Means Clustering with Cover Trees
- Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
- A Prompt Refinement-based Large Language Model for Metro Passenger Flow Forecasting under Delay Conditions
- The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study
- Standardizing Generative Face Video Compression using Supplemental Enhancement Information
- Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction
- CosFairNet:A Parameter-Space based Approach for Bias Free Learning
- DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning
- Towards Safer Heuristics With XPlain
- A Distribution Semantics for Probabilistic Term Rewriting
- EPT-1.5 Technical Report
- SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation
- Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
- A Cycle Ride to HDR: Semantics Aware Self-Supervised Framework for Unpaired LDR-to-HDR Image Reconstruction
- A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
- EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy
- A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers
All 167
- BYOCL: Build Your Own Consistent Latent with Hierarchical Representative Latent Clustering
- Deep Equilibrium Algorithmic Reasoning
- Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation
- A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
- GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization
- Automatic identification of diagnosis from hospital discharge letters via weakly supervised Natural Language Processing
- Are LLMs Good Zero-Shot Fallacy Classifiers?
- Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting
- Adversarial Training: A Survey
- A Multimodal Vision Foundation Model for Clinical Dermatology
- mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation
- EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices
- Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
- Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Models
- Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention
- A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining
- LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
- Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
- Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding
- Iterative Methods via Locally Evolving Set Process
- A Survey of Ontology Expansion for Conversational Understanding
- DM-Codec: Distilling Multimodal Representations for Speech Tokenization
- Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model
- DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership
- Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer
- FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
- Time-Varying Convex Optimization with O(n) Computational Complexity
- CAP: Data Contamination Detection via Consistency Amplification
- Achieving tildeO(1/N) Optimality Gap in Restless Bandits through Gaussian Approximation
- How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models
- FIT-GNN: Faster Inference Time for GNNs that 'FIT' in Memory Using Coarsening
- A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
- Improving Pronunciation and Accent Conversion through Knowledge Distillation And Synthetic Ground-Truth from Native TTS
- Quanta Video Restoration
- Making Every Frame Matter: Continuous Activity Recognition in Streaming Video via Adaptive Video Context Modeling
- Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span
- ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
- Audio Processing using Pattern Recognition for Music Genre Classification
- Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups
- SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
- NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets
- D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs
- DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
- Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology
- Subversive Characters and Stereotyping Readers: Characterizing Queer Relationalities with Dialogue-Based Relation Extraction
- 3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous Driving
- BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation
- Taming the Long Tail in Human Mobility Prediction
- Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book Collection
- AugInsert: Learning Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks
- Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network
- ChronoFact: Timeline-based Temporal Fact Verification
- Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data
- LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model
- Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimization
- Accelerate Coastal Ocean Circulation Model with AI Surrogate
- Architectural Scaling Surpass Basis Complexity? Efficient KANs with Single-Parameter Design
- Optimally Solving Colored Generalized Sliding-Tile Puzzles: Complexity and Bounds
- DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries
- Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding
- 2D Basement Relief Inversion using Sparse Regularization
- HiPPO-KAN: Efficient KAN Model for Time Series Analysis
- Can AI weather models predict out-of-distribution gray swan tropical cyclones?
- Water quality polluted by total suspended solids classified within an Artificial Neural Network approach
- Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution
- Cooperation and Fairness in Multi-Agent Reinforcement Learning
- ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life