Papers
Thu 7 Nov 2024
316 papers
- Deploying Large Language Models With Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled RegularizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Conditional Diffusion Model for Longitudinal Medical Image GenerationDiffusion models → Medical imaging and segmentation
- Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL +1
- Performative Reinforcement Learning with Linear Markov Decision ProcessDeep reinforcement learning methods → RL theory and sample complexity
- Abstract2Appendix: Academic Reviews Enhance LLM Long-Context CapabilitiesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- RT-Grasp: Reasoning Tuning Robotic Grasping via Multi-modal Large Language ModelLLM reasoning → Spatial and embodied reasoning +1
- Maximizing User Connectivity in AI-Enabled Multi-UAV Networks: A Distributed Strategy Generalized to Arbitrary User DistributionsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision EncoderLLM reasoning → Multimodal reasoning +1
- Interactive Dialogue Agents via Reinforcement Learning on Hindsight RegenerationsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Q-SFT: Q-Learning for Language Models via Supervised Fine-TuningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- PentestAgent: Incorporating LLM Agents to Automated Penetration TestingLLM agents and tool use → Agent threats, guardrails and governance
- Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal TrajectoriesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Watermarking Language Models through Language ModelsLLM safety and security → Watermarking generated content and models
- Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at ScaleKnowledge distillation → Knowledge distillation for LLMs
- SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- ProEdit: Simple Progression is All You Need for High-Quality 3D Scene EditingDiffusion models → 3D, point cloud and scene generation
- Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and AlternativesLLM reasoning → Reinforcement learning for reasoning +1
- DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot PlanningWorld models → Latent predictive world models
- Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination GamesDeep reinforcement learning methods → Deep RL algorithms and representations
- SuffixDecoding: Extreme Speculative Decoding for Emerging AI ApplicationsLLM agents and tool use → Software engineering coding agents +1
- Uncovering Hidden Subspaces in Video Diffusion Models Using Re-IdentificationDiffusion models → Robustness, privacy and adversarial aspects
- M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document UnderstandingRetrieval-augmented generation → Multimodal RAG
- A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language ModelMultimodal LLMs / vision-language models → Image editing and quality assessment
- DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video DiffusionDiffusion models → 3D, point cloud and scene generation
- VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion InversionOffline RL and imitation learning from data → Imitation learning methods
- Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous ShippingDeep reinforcement learning methods → RL for robot navigation and UAV control
- GASE: Generatively Augmented Sentence EncodingLLM reasoning → Test-time compute and efficient thinking
- Structure Matters: Dynamic Policy GradientDeep reinforcement learning methods → RL theory and sample complexity
- In the Era of Prompt Learning with Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- GUI Agents with Foundation Models: A Comprehensive SurveyMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AILLM reasoning → Mathematical reasoning
- Plasticity Loss in Deep Reinforcement Learning: A SurveyDeep reinforcement learning methods → Deep RL algorithms and representations
- Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle AcceleratorsDeep reinforcement learning methods → RL for energy, networks and operations
- Kwai-STaR: Transform LLMs into State-Transition ReasonersLLM reasoning → Mathematical reasoning
- Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Taming Rectified Flow for Inversion and EditingDiffusion models → Image generation, text-to-image and editing
- Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain AdaptationDiffusion models → 3D, point cloud and scene generation
- Exploring Hierarchical Molecular Graph Representation in Multimodal LLMsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent CooperationLLM agents and tool use → General LLM agent frameworks and benchmarks
- CUIfy the XR: An Open-Source Package to Embed LLM-powered Conversational Agents in XRLLM agents and tool use → Social simulation and multi-agent debate
- Explainable Search and Discovery of Visual Cultural Heritage Collections with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- DanceFusion: A Spatio-Temporal Skeleton Diffusion Transformer for Audio-Driven Dance Motion ReconstructionDiffusion models → Audio, speech and music
- TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Sharp Analysis for KL-Regularized Contextual Bandits and RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Constrained Latent Action Policies for Model-Based Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Vision Language Models are In-Context Value LearnersMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Best Practices for Distilling Large Language Models into BERT for Web Search RankingKnowledge distillation → Knowledge distillation for LLMs
- Meta-Reasoning Improves Tool Use in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Hypercube Policy Regularization Framework for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language ModelLLM agents and tool use → General LLM agent frameworks and benchmarks
- Series-to-Series Diffusion Bridge ModelDiffusion models → Flow matching, time series and science
- LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAGLLM agents and tool use → General LLM agent frameworks and benchmarks
- Magentic-One: A Generalist Multi-Agent System for Solving Complex TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting DiversityDeep reinforcement learning methods → Deep RL algorithms and representations
- GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud DetectionLLM reasoning → Reasoning for agents, planning and code
- AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein EngineeringLLM agents and tool use → Medical and scientific domain agents
- Scaling Laws for Pre-training Agents and World ModelsWorld models → World models for language agents +2
- Towards Unifying Interpretability and Control: Evaluation via InterventionMechanistic interpretability → Knowledge and representations inside LLMs
- One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversityLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- BendVLM: Test-Time Debiasing of Vision-Language EmbeddingsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Towards Competitive Search Relevance For Inference-Free Learned Sparse RetrieversKnowledge distillation → General knowledge distillation methods
- Unlearning in- vs. out-of-distribution data in LLMs under gradient-based methodLLM safety and security → Machine unlearning
- Benchmarking Large Language Models with Integer Sequence Generation TasksLLM reasoning → Mathematical reasoning
- HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated ImagesDiffusion models → Diffusion and flow policies for robotics
- CodeTree: Agent-guided Tree Search for Code Generation with Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Memory-Driven Metaheuristics: Improving Optimization Performance
- The Fundamental Rights Impact Assessment (FRIA) in the AI Act: Roots, legal obligations and key elements for a model template
- The Role of AI in Financial Forecasting: ChatGPT's Potential and Challenges
- AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG
- ResLearn: Transformer-based Residual Learning for Metaverse Network Traffic Prediction
- Green My LLM: Studying the key factors affecting the energy consumption of code assistants
- Survey on Semantic Interpretation of Tabular Data: Challenges and Directions
- GREI Data Repository AI Taxonomy
- Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review
- Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
- Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach
- Dialectal Coverage And Generalization in Arabic Speech Recognition
- Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data
- Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling
- Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
- Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections
- Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings
- Exploring the Feasibility of Affordable Sonar Technology: Object Detection in Underwater Environments Using the Ping 360
- From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios
- Rethinking Deep Learning: Non-backpropagation and Non-optimization Machine Learning Approach Using Hebbian Neural Networks
- Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
- Saliency Assisted Quantization for Neural Networks
- Financial Fraud Detection using Jump-Attentive Graph Neural Networks
- Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry
- Learning Morphisms with Gauss-Newton Approximation for Growing Networks
- ZipNN: Lossless Compression for AI Models
- Generating Highly Designable Proteins with Geometric Algebra Flow Matching
- Evaluating GPT-4 at Grading Handwritten Solutions in Math Exams
- Solving Hidden Monotone Variational Inequalities with Surrogate Losses
All 316
- CHATTER: A Character Attribution Dataset for Narrative Understanding
- Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters
- Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards
- Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms
- Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
- Anticipatory Understanding of Resilient Agriculture to Climate
- STAND-Guard: A Small Task-Adaptive Content Moderation Model
- Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs
- Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models (LLMs)
- CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement
- Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
- Hardware and Software Platform Inference
- Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution
- Explaining Mixtures of Sources in News Articles
- Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens
- AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury
- Discern-XR: An Online Classifier for Metaverse Network Traffic
- Why CNN Features Are not Gaussian: A Statistical Anatomy of Deep Representations
- DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging
- ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentence
- EPIC: Enhancing Privacy through Iterative Collaboration
- Exploiting the Structure of Two Graphs with Graph Neural Networks
- On the cohesion and separability of average-link for hierarchical agglomerative clustering
- Findings of the IWSLT 2024 Evaluation Campaign
- PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
- Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model
- A Guide to Misinformation Detection Data and Evaluation
- FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?
- A Brief History of Named Entity Recognition
- Integrating Large Language Models for Genetic Variant Classification
- FMEA Builder: Expert Guided Text Generation for Equipment Maintenance
- The Fibonacci Network: A Simple Alternative for Positional Encoding
- Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
- Selecting Between BERT and GPT for Text Classification in Political Science Research
- ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding
- Leveraging LLMs to Enable Natural Language Search on Go-to-market Platforms
- PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
- Deep Heuristic Learning for Real-Time Urban Pathfinding
- Multi-language Video Subtitle Dataset for Image-based Text Recognition
- ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
- Analyzing The Language of Visual Tokens
- Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?
- HourVideo: 1-Hour Video-Language Understanding
- LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation
- Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
- LoFi: Neural Local Fields for Scalable Image Reconstruction
- Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs
- Which bits went where? Past and future transfer entropy decomposition with the information bottleneck
- Clustering in Causal Attention Masking
- SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
- Few-Shot Task Learning through Inverse Generative Modeling
- The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities
- Planar Reflection-Aware Neural Radiance Fields
- Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
- AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
- BitNet a4.8: 4-bit Activations for 1-bit LLMs
- VAIR: Visuo-Acoustic Implicit Representations for Low-Cost, Multi-Modal Transparent Surface Reconstruction in Indoor Scenes
- Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability
- CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
- Estimating the Influence of Sequentially Correlated Literary Properties in Textual Classification: A Data-Centric Hypothesis-Testing Approach
- SPGD: Steepest Perturbed Gradient Descent Optimization
- Pareto Set Identification With Posterior Sampling
- Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement
- SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering
- StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
- MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
- Enabling LLM Knowledge Analysis via Extensive Materialization
- Robust Iris Centre Localisation for Assistive Eye-Gaze Tracking
- Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph
- OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
- Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
- Non-Euclidean Mixture Model for Social Network Embedding
- Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning
- ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset
- OneProt: Towards Multi-Modal Protein Foundation Models
- Sentiment Analysis of Spanish Political Party Tweets Using Pre-trained Language Models
- A multi-purpose automatic editing system based on lecture semantics for remote education
- Clinicians' Voice: Fundamental Considerations for XAI in Healthcare
- Conformalized Credal Regions for Classification with Ambiguous Ground Truth
- Prompt-Guided Internal States for Hallucination Detection of Large Language Models
- Asymptotic regularity of a generalised stochastic Halpern scheme
- Discretized Gaussian Representation for Tomographic Reconstruction
- Learning in Budgeted Auctions with Spacing Objectives
- Machine learning and optimization-based approaches to duality in statistical physics
- D3epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes
- VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
- Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents
- End-to-end Inception-Unet based Generative Adversarial Networks for Snow and Rain Removals
- A Simple Packing Algorithm for Optimized Mapping of Artificial Neural Networks onto Non-Volatile Memory Cross-Bar Arrays
- LuxBank: The First Universal Dependency Treebank for Luxembourgish
- Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams
- Defending Deep Regression Models against Backdoor Attacks
- GANESH: Generalizable NeRF for Lensless Imaging
- MPVO: Motion-Prior based Visual Odometry for PointGoal Navigation
- KnowCoder-X: Boosting Multilingual Information Extraction via Code
- Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research
- A General Pipeline for Glomerulus Whole-Slide Image Segmentation
- Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
- Learning dynamical systems from data: Gradient-based dictionary optimization
- Attention Masks Help Adversarial Attacks to Bypass Safety Detectors
- Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups
- Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
- A study of Vietnamese readability assessing through semantic and statistical features
- RetrieveGPT: Merging Prompts and Mathematical Models for Enhanced Code-Mixed Information Retrieval
- Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations
- Respecting the limit:Bayesian optimization with a bound on the optimal value
- Convolutional Differentiable Logic Gate Networks
- Conjugate gradient methods for high-dimensional GLMMs
- Neuromorphic Wireless Split Computing with Multi-Level Spikes
- Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
- NeuroFly: A framework for whole-brain single neuron reconstruction
- Progressive Multi-Level Alignments for Semi-Supervised Domain Adaptation SAR Target Recognition Using Simulated Data
- Differential Privacy Overview and Fundamental Techniques
- Adapting Visualization Techniques for Time-Series Anomaly Detection: From Convolutional Neural Networks to Convolutional-Recurrent Neural Networks
- ESC-MISR: Enhancing Spatial Correlations for Multi-Image Super-Resolution in Remote Sensing
- Field Assessment of Force Torque Sensors for Planetary Rover Navigation
- Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 14 Indian Languages
- Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
- The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter
- Is network fragmentation a useful complexity measure?
- Electromagnetic Scattering Kernel Guided Reciprocal Point Learning for SAR Open-Set Recognition
- Personalized Federated Learning for Cross-view Geo-localization
- AWARE Narrator and the Utilization of Large Language Models to Extract Behavioral Insights from Smartphone Sensing Data
- Solving Generalized Grouping Problems in Cellular Manufacturing Systems Using a Network Flow Model
- DNN-based 3D Cloud Retrieval for Variable Solar Illumination and Multiview Spaceborne Imaging
- Privacy Leakage via Output Label Space and Differentially Private Continual Learning
- Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
- EffiCANet: Efficient Time Series Forecasting with Convolutional Attention
- Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities
- Automated Image Color Mapping for a Historic Photographic Collection
- ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism
- Centrality Graph Shift Operators for Graph Neural Networks
- DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models
- wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals
- Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop
- Cybercrime Prediction via Geographically Weighted Learning
- Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
- Brain Tumour Removing and Missing Modality Generation using 3D WDM
- Multi-temporal crack segmentation in concrete structures using deep learning approaches
- Population estimation using 3D city modelling and Carto2S datasets -- A case study
- Solar potential analysis over Indian cities using high-resolution satellite imagery and DEM
- Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
- FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment Analysis
- Self-Calibrated Listwise Reranking with Large Language Models
- Social EgoMesh Estimation
- The Impact of Semi-Supervised Learning on Line Segment Detection
- TexLiverNet: Leveraging Medical Knowledge and Spatial-Frequency Perception for Enhanced Liver Tumor Segmentation
- Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
- Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error Correction
- On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
- The State and Fate of Summarization Datasets: A Survey
- PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa
- Demystifying MuZero Planning: Interpreting the Learned Model
- Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity
- Multi-Agents are Social Groups: Investigating Social Influence of Multiple Agents in Human-Agent Interactions
- Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages
- DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
- Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
- Impact of Label Noise on Learning Complex Features
- A Generalisation of Voter Model: Influential Nodes and Convergence Properties
- Pruning Literals for Highly Efficient Explainability at Word Level
- Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing Retrieval
- An Axiomatic Study of the Evaluation of Enthymeme Decoding in Weighted Structured Argumentation
- Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
- Measure-to-measure interpolation using Transformers
- Dynamic Detection of Relevant Objectives and Adaptation to Preference Drifts in Interactive Evolutionary Multi-Objective Optimization
- Neural Fingerprints for Adversarial Attack Detection
- Real-time stress detection on social network posts using big data technology
- Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts?
- GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints
- l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion
- Continuous Sign Language Recognition System using Deep Learning with MediaPipe Holistic
- Normalized Space Alignment: A Versatile Metric for Representation Analysis
- Improve the Fitting Accuracy of Deep Learning for the Nonlinear Schr"odinger Equation Using Linear Feature Decoupling Method
- FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation
- Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory
- Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
- CFPNet: Improving Lightweight ToF Depth Completion via Cross-zone Feature Propagation
- Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis
- ML-Promise: A Multilingual Dataset for Corporate Promise Verification
- FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
- Can CDT rationalise the ex ante optimal policy via modified anthropics?
- Efficient single image non-uniformity correction algorithm
- Properties of BV-G structures + textures decomposition models. Application to road detection in satellite images
- Comparing Fairness of Generative Mobility Models
- Gradient Localization Improves Lifelong Pretraining of Language Models
- ACCIO: Table Understanding Enhanced via Contrastive Learning with Aggregations
- DELIFT: Data Efficient Language model Instruction Fine Tuning
- Bayesian Calibration of Win Rate Estimation with LLM Evaluators
- Unsupervised Abnormal Stop Detection for Long Distance Coaches with Low-Frequency GPS
- Variational Low-Rank Adaptation Using IVON
- Image Understanding Makes for A Good Tokenizer for Image Generation
- Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation
- ProGraph: Temporally-alignable Probability Guided Graph Topological Modeling for 3D Human Reconstruction
- A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
- Remote Sensing-Based Assessment of Economic Development
- Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators
- Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
- Approximate FW Algorithm with a novel DMO method over Graph-structured Support Set
- Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
- TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
- Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
- ComFairGNN: Community Fair Graph Neural Network
- Measuring short-form factuality in large language models
- Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
- MegaPortrait: Revisiting Diffusion Control for High-fidelity Portrait Generation
- GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
- Impact of white noise in artificial neural networks trained for classification: performance and noise mitigation strategies
- LidaRefer: Context-aware Outdoor 3D Visual Grounding for Autonomous Driving
- UEVAVD: A Dataset for Developing UAV's Eye View Active Object Detection
- Classification with Conceptual Safeguards
- Enhancing classroom teaching with LLMs and RAG
- Neural-Enhanced Dynamic Range Compression Inversion: A Hybrid Approach for Restoring Audio Dynamics
- GazeGen: Gaze-Driven User Interaction for Visual Content Generation
- Scaling Laws for Precision
- Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification