Papers
Tue 3 Dec 2024
334 papers
- Advancing Similarity Search with GenAI: A Retrieval Augmented Generation ApproachRetrieval-augmented generation → RAG pipeline design and evaluation
- Does Few-Shot Learning Help LLM Performance in Code Synthesis?LLM reasoning → Reasoning for agents, planning and code
- Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model UncertaintyMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Learnable Sparsity for Vision Generative ModelsDiffusion models → Diffusion foundations and sampling
- CAISSON: Concept-Augmented Inference Suite of Self-Organizing Neural NetworksRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- RARE: Retrieval-Augmented Reasoning Enhancement for Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential FieldsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Hacking CTFs with Plain AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture +1
- Supercharged One-step Text-to-Image Diffusion Models with Negative PromptsDiffusion models → Diffusion foundations and sampling
- T-REG: Preference Optimization with Token-Level Reward RegularizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual ManipulationDiffusion models → Diffusion and flow policies for robotics
- Mind the Gap: Examining the Self-Improvement Capabilities of Large Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and ManipulationDiffusion models → 3D, point cloud and scene generation
- Improving Dynamic Object Interactions in Text-to-Video Generation with AI FeedbackMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- AI-Driven Resource Allocation Framework for Microservices in Hybrid Cloud PlatformsDeep reinforcement learning methods → RL for energy, networks and operations
- Interpretable Company Similarity with Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Explainable CTR Prediction via LLM ReasoningLLM reasoning → LLM reasoning for recommendation
- Generating Critical Scenarios for Testing Automated Driving SystemsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive SurveyMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba ModelsState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- SJTU:Spatial judgments in multimodal models towards unified segmentation through coordinate detectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Semantic Tokens in Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Unveiling Concept Attribution in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Highway Congestion Reduction through Reinforcement Learning Based Eulerian Headway ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather ForecastingMixture-of-experts → MoE for time series and graphs
- Gracefully Filtering Backdoor Samples for Generative Large Language Models without RetrainingLLM safety and security → Backdoor and data poisoning attacks
- Artificial Expert Intelligence through PAC-reasoningLLM reasoning → Reasoning benchmarks and evaluation
- Improved Localized Machine Unlearning Through the Lens of MemorizationLLM safety and security → Machine unlearning
- It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion ModelDiffusion models → Audio, speech and music
- ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- GenMix: Effective Data Augmentation with Generative Diffusion Model Image EditingDiffusion models → Image generation, text-to-image and editing
- LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model PersonalizationDiffusion models → Image generation, text-to-image and editing
- Reinforcement learning to learn quantum states for Heisenberg scaling accuracyDeep reinforcement learning methods → Quantum reinforcement learning
- SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual GenerationDiffusion models → 3D, point cloud and scene generation
- Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost ReductionLLM agents and tool use → Agent threats, guardrails and governance
- Conformal Symplectic Optimization for Stable Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Technical Report on Reinforcement Learning Control on the Lucas-N"ulle Inverted PendulumDeep reinforcement learning methods → Deep RL algorithms and representations
- Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention SimilarityEfficient LLM inference and serving → KV cache optimization
- Selective Reviews of Bandit Problems in AI via a Statistical ViewDeep reinforcement learning methods → RL theory and sample complexity
- Fast LiDAR Data Generation with Rectified FlowsWorld models → World modeling from LiDAR generation +1
- Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative ModelsDiffusion models → Image generation, text-to-image and editing
- How to Use Diffusion Priors under Sparse Views?Diffusion models → 3D, point cloud and scene generation
- CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in LiteracyMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video UnderstandingLLM reasoning → Multimodal reasoning +1
- Self-Supervised Learning-Based Path Planning and Obstacle Avoidance Using PPO and B-Splines in Unknown EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual ReasoningLLM reasoning → Multimodal reasoning +2
- Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier ApproachLLM safety and security → Jailbreaking
- Personalized Multimodal Large Language Models: A SurveyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- WSI-LLaVA: A Multimodal Large Language Model for Whole Slide ImageMultimodal LLMs / vision-language models → Medical vision-language models
- Preference Goal Tuning: Post-Training as Latent Control for Frozen PoliciesDeep reinforcement learning methods → RL training of language and agent models
- Trust & Safety of LLMs and LLMs in Trust & SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Explainable and Interpretable Multimodal Large Language Models: A Comprehensive SurveyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion ExtrapolationDiffusion models → Diffusion foundations and sampling
- Let's Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic ReasoningLLM reasoning → Test-time compute and efficient thinking
- Investigating the importance of county-level characteristics in opioid-related mortality across the United States
- Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval
- AI-driven Inverse Design of Band-Tunable Mechanical Metastructures for Tailored Vibration Mitigation
- MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
- A Physics-Constrained Neural Differential Equation Framework for Data-Driven Snowpack Simulation
- A Study on Quantum Neural Networks in Healthcare 5.0
- ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction
- Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
- Achieving Semantic Consistency: Contextualized Word Representations for Political Text Analysis
- Multi-Bin Batching for Increasing LLM Inference Throughput
- A Primer on Large Language Models and their Limitations
- HunyuanVideo: A Systematic Framework For Large Video Generative Models
- Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutions
- CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models
- Single-Cell Omics Arena: A Benchmark Study for Large Language Models on Cell Type Annotation Using Single-Cell Data
- ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts
- Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning
- EgoCast: Forecasting Egocentric Human Pose in the Wild
- MACAW: A Causal Generative Model for Medical Imaging
- MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions
- GUESS: Generative Uncertainty Ensemble for Self Supervision
- Removing Spurious Correlation from Neural Network Interpretations
- EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision
- Deep-Learning Based Docking Methods: Fair Comparisons to Conventional Docking Workflows
- TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved?
- Pairwise Spatiotemporal Partial Trajectory Matching for Co-movement Analysis
- Modeling and Discovering Direct Causes for Predictive Models
- Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
- MAGMA: Manifold Regularization for MAEs
- Constrained Identifiability of Causal Effects
- PrecLLM: A Privacy-Preserving Framework for Efficient Clinical Annotation Extraction from Unstructured EHRs using Small-Scale LLMs
- Memory-efficient Continual Learning with Neural Collapse Contrastive
- Proximal Control of UAVs with Federated Learning for Human-Robot Collaborative Domains
- An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits
- Unpaired Modality Translation for Pseudo Labeling of Histology Images
- Measuring Fingerprints of Web-filtered Text Datasets and Fingerprint Propagation Through Training
- Is Large-Scale Pretraining the Secret to Good Domain Generalization?
- Optimized CNNs for Rapid 3D Point Cloud Object Recognition
- Block MedCare: Advancing healthcare through blockchain integration with AI and IoT
All 334
- Optimized IoT Intrusion Detection using Machine Learning Technique
- Batch Normalization Decomposed
- Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention
- textttBATCLIP: Bimodal Online Test-Time Adaptation for CLIP
- FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management
- Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification
- Minimization of Boolean Complexity in In-Context Concept Learning
- CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
- Universal Rates of Empirical Risk Minimization
- Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation
- Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
- STORM: Strategic Orchestration of Modalities for Rare Event Classification
- Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects
- Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model
- Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm
- Filterless Snapshot Hyperspectral Imaging using Guided Patch Diffusion
- Harnessing Multiple Correlated Networks for Exact Community Recovery
- Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks
- An Evolutionary Large Language Model for Hallucination Mitigation
- Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset
- FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data
- Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
- WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks
- Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing
- Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training
- Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code
- Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: G"orselle Sohbet Etmek
- Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning
- CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?
- MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
- Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
- Shaping AI's Impact on Billions of Lives
- Resource-Adaptive Successive Doubling for Hyperparameter Optimization with Large Datasets on High-Performance Computing Systems
- Motion Prompting: Controlling Video Generation with Motion Trajectories
- Scaling BERT Models for Turkish Automatic Punctuation and Capitalization Correction
- An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques
- Diffusion-based Visual Anagram as Multi-task Learning
- Scalable Image Tokenization with Index Backpropagation Quantization
- FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation
- AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction
- The Asymptotic Behavior of Attention in Transformers
- The Broader Landscape of Robustness in Algorithmic Statistics
- Probing the statistical properties of enriched co-occurrence networks
- Efficient Graph Matching for Correlated Stochastic Block Models
- Adaptive Informed Deep Neural Networks for Power Flow Analysis
- Scaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education
- Interpretable Generalized Additive Models for Datasets with Missing Values
- A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response
- Robust soybean seed yield estimation using high-throughput ground robot videos
- The Space Complexity of Approximating Logistic Loss
- QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing
- Words and Action: Modeling Linguistic Leadership in #BlackLivesMatter Communities
- MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis
- Scaling Image Tokenizers with Grouped Spherical Quantization
- Continual Learning of Personalized Generative Face Models with Experience Replay
- Time-Reversal Provides Unsupervised Feedback to LLMs
- The effect of priors on Learning with Restricted Boltzmann Machines
- Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions
- Projection Abstractions in Planning Under the Lenses of Abstractions for MDPs
- GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
- Wasserstein Markets for Differentially-Private Data
- MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images
- Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes
- Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset
- PrefixLLM: LLM-aided Prefix Circuit Design
- MedTet: An Online Motion Model for 4D Heart Reconstruction
- Factored space models: Towards causality between levels of abstraction
- Private Linear Regression with Differential Privacy and PAC Privacy
- Copy-Move Forgery Detection and Question Answering for Remote Sensing Image
- TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning
- Patent-CR: A Dataset for Patent Claim Revision
- Plug-and-Play Half-Quadratic Splitting for Ptychography
- Fractional Order Distributed Optimization
- ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
- Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles
- On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)
- Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization
- LiDAR-based Registration against Georeferenced Models for Globally Consistent Allocentric Maps
- Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks
- WEM-GAN: Wavelet transform based facial expression manipulation
- Active learning of neural population dynamics using two-photon holographic optogenetics
- Bias Analysis of AI Models for Undergraduate Student Admissions
- LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data
- FCL-ViT: Task-Aware Attention Tuning for Continual Learning
- When Words Smile: Generating Diverse Emotional Facial Expressions from Text
- ROVER: A Multi-Season Dataset for Visual SLAM
- RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians
- The Cost of Consistency: Submodular Maximization with Constant Recourse
- Vector Optimization with Gaussian Process Bandits
- What should a neuron aim for? Designing local objective functions based on information theory
- OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
- F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information
- COMET:Combined Matrix for Elucidating Targets
- DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators
- Can ChatGPT capture swearing nuances? Evidence from translating Arabic oaths
- BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding
- Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations
- Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps
- Nature versus nurture in galaxy formation: the effect of environment on star formation with causal machine learning
- Transformer-based Koopman Autoencoder for Linearizing Fisher's Equation
- GerPS-Compare: Comparing NER methods for legal norm analysis
- Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control
- TimeWalker: Personalized Neural Space for Lifelong Head Avatars
- Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
- VISTA: A Panoramic View of Neural Representations
- AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllers
- Leveraging Ensemble-Based Semi-Supervised Learning for Illicit Account Detection in Ethereum DeFi Transactions
- 3D Face Reconstruction From Radar Images
- RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation
- Four Guiding Principles for Modeling Causal Domain Knowledge: A Case Study on Brainstorming Approaches for Urban Blight Analysis
- OMENN: One Matrix to Explain Neural Networks
- Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction
- Bio-inspired visual relative localization for large swarms of UAVs
- Single-Shot Metric Depth from Focused Plenoptic Cameras
- Active Negative Loss: A Robust Framework for Learning with Noisy Labels
- HERO: Hint-Based Efficient and Reliable Query Optimizer
- TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity
- Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions
- The Impact of Featuring Comments in Online Discussions
- Realistic Surgical Simulation from Monocular Videos
- Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
- Dual Exposure Stereo for Extended Dynamic Range 3D Imaging
- UniForm: A Reuse Attention Mechanism Optimized for Efficient Vision Transformers on Edge Devices
- Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model
- PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality
- Amodal Depth Anything: Amodal Depth Estimation in the Wild
- An Adaptive Grasping Force Tracking Strategy for Nonlinear and Time-Varying Object Behaviors
- Sample Efficient Robot Learning in Supervised Effect Prediction Tasks
- Efficient Model Compression Techniques with FishLeg
- Switchable deep beamformer for high-quality and real-time passive acoustic mapping
- Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script
- HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset
- Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation
- Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
- Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
- PaNDaS: Learnable Deformation Modeling with Localized Control
- Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
- CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
- Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
- Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering
- Characterizing Information Shared by Participants to Coding Challenges: The Case of Advent of Code
- Learn More by Using Less: Distributed Learning with Energy-Constrained Devices
- Improving Viewpoint Consistency in 3D Generation via Structure Feature and CLIP Guidance
- GQWformer: A Quantum-based Transformer for Graph Representation Learning
- VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple Anatomical Domains
- AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
- A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
- PCIM: Learning Pixel Attributions via Pixel-wise Channel Isolation Mixing in High Content Imaging
- Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning
- The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias
- Sustainable Self-evolution Adversarial Training
- GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos
- BOTracle: A framework for Discriminating Bots and Humans
- Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches
- Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence
- Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation
- Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis
- VideoGen-of-Thought: Step-by-step generating multi-shot video with minimal manual intervention
- ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
- Vision Transformers for Weakly-Supervised Microorganism Enumeration
- Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance
- SparseLGS: Sparse View Language Embedded Gaussian Splatting
- On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means
- U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities
- ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning
- CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution
- Learning from Concealed Labels
- BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
- Deep learning approach for predicting the replicator equation in evolutionary game theory
- Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
- Recovering implicit physics model under real-world constraints
- GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations
- An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction
- DataLab: A Unified Platform for LLM-Powered Business Intelligence
- 3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation
- Age-Defying Face Recognition with Transformer-Enhanced Loss
- Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images
- SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search
- Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification
- Deep Learning, Machine Learning, Advancing Big Data Analytics and Management
- Generalizing Weisfeiler-Lehman Kernels to Subgraphs
- Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports
- Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods
- Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models
- Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
- Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
- Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance
- A Theoretical Framework for Acoustic Neighbor Embeddings
- Towards the efficacy of federated prediction for epidemics on networks
- Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases
- CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
- Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals
- Revisiting the Initial Steps in Adaptive Gradient Descent Optimization
- Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms
- Mining Tweets to Predict Future Bitcoin Price
- SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images
- Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition
- Graph Learning for Planning: The Story Thus Far and Open Challenges
- A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making
- GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
- Benchmarking symbolic regression constant optimization schemes
- Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition
- Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning
- ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications
- Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning
- Machine Learning Methods for Automated Interstellar Object Classification with LSST
- Direct Coloring for Self-Supervised Enhanced Feature Decoupling
- Evaluating the Impact of Data Augmentation on Predictive Model Performance
- Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation
- Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data
- Crash Severity Risk Modeling Strategies under Data Imbalance
- The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis
- MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle
- Offline Stochastic Optimization of Black-Box Objective Functions
- Evolution of Collective AI Beyond Individual Optimization
- Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection
- Implementing An Artificial Quantum Perceptron
- Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching
- Gaussian Object Carver: Object-Compositional Gaussian Splatting with surfaces completion
- Performance Comparison of Deep Learning Techniques in Naira Classification
- Progress-Aware Video Frame Captioning
- CLERF: Contrastive LEaRning for Full Range Head Pose Estimation
- Leveraging Large Language Models to Democratize Access to Costly Datasets for Academic Research
- Construction and optimization of health behavior prediction model for the elderly in smart elderly care
- Lean classical-quantum hybrid neural network model for image classification
- BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts
- Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
- A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala
- Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable
- GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach
- FoveaSPAD: Exploiting Depth Priors for Adaptive and Efficient Single-Photon 3D Imaging
- Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code
- ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classification
- Future of Information Retrieval Research in the Age of Generative AI