Papers
Fri 28 Mar 2025
276 papers
- Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic ActionLLM agents and tool use → Agentic recommender systems
- Patience is all you need! An agentic system for performing scientific literature reviewLLM agents and tool use → Web, search, and research agents
- Breach in the Shield: Unveiling the Vulnerabilities of Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Token-Driven GammaTune: Adaptive Calibration for Enhanced Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Diffusion models applied to skin and oral cancer classificationDiffusion models → Medical imaging and segmentation
- Task Tokens: A Flexible Approach to Adapting Behavior Foundation ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
- AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval modelsLLM agents and tool use → Web, search, and research agents
- Teaching LLMs Music Theory with In-Context Learning and Chain-of-Thought Prompting: Pedagogical Strategies for MachinesLLM reasoning → Audio-language model reasoning
- L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program ExecutionLLM reasoning → Reasoning for agents, planning and code
- Learning to Reason for Long-Form Story GenerationLLM reasoning → Reasoning benchmarks and evaluation
- DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion TransformersDiffusion models → Video generation
- Patronus: Interpretable Diffusion Models with PrototypesDiffusion models → Diffusion foundations and sampling
- Invariant Control Strategies for Active Flow Control using Graph Neural NetworksDeep reinforcement learning methods → RL with diffusion and flow models
- Q-Insight: Understanding Image Quality via Visual Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Self-Evolving Multi-Agent Simulations for Realistic Clinical InteractionsLLM agents and tool use → Medical and scientific domain agents +1
- QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?LLM reasoning → Reasoning benchmarks and evaluation
- Text-Only Data Synthesis for Vision Language Model TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from PixelsDiffusion models → Diffusion and flow policies for robotics +1
- Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video DiffusionDiffusion models → 3D, point cloud and scene generation
- Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired UsersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Generative Latent Neural PDE Solver using Flow MatchingDiffusion models → Flow matching, time series and science
- Reinforcement Learning for Machine Learning Model Deployment: Evaluating Multi-Armed Bandits in ML Ops EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
- Breaking Language Barriers in Visual Language Models via Multilingual Textual RegularizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning ImplementationsDeep reinforcement learning methods → Deep RL algorithms and representations
- RELD: Regularization by Latent Diffusion Models for Image RestorationDiffusion models → Inverse problems and image restoration
- Efficient Verified Machine Unlearning For DistillationLLM safety and security → Machine unlearning +1
- Deterministic Medical Image Translation via High-fidelity Brownian BridgesDiffusion models → Medical imaging and segmentation
- Robust Offline Imitation Learning Through State-level Trajectory StitchingOffline RL and imitation learning from data → Imitation learning methods
- Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative AbilitiesMixture-of-experts → Multimodal MoE models
- Unlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent RefinementLLM agents and tool use → Software engineering coding agents
- Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation EnvironmentsDiffusion models → Diffusion and flow policies for robotics +1
- Probabilistic Uncertain Reward ModelLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- WorkTeam: Constructing Workflows from Natural Language with Multi-AgentsLLM agents and tool use → Software engineering coding agents
- Evaluating LLM-based Agents for Multi-Turn Conversations: A SurveyLLM agents and tool use → General LLM agent frameworks and benchmarks
- Long-Tail Crisis in Nearest Neighbor Language ModelsRetrieval-augmented generation → Generation and context integration
- Instance-Level Data-Use Auditing of Visual ML ModelsLLM safety and security → Machine unlearning
- Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocessesDeep reinforcement learning methods → RL for energy, networks and operations
- Negation: A Pink Elephant in the Large Language Models' Room?LLM reasoning → Reasoning benchmarks and evaluation
- Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward ModelDiffusion models → Medical imaging and segmentation
- EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video GenerationDiffusion models → Medical imaging and segmentation
- Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID PersonalizationDiffusion models → Image generation, text-to-image and editing
- GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray DiffusionDiffusion models → 3D, point cloud and scene generation
- CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Preference-based Learning with Retrieval Augmented Generation for Conversational Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- Make Some Noise: Towards LLM audio reasoning and generation using sound tokensLLM reasoning → Audio-language model reasoning +1
- FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Analysis of On-policy Policy Gradient Methods under the Distribution MismatchDeep reinforcement learning methods → RL theory and sample complexity
- Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- More Bang for the Buck: Process Reward Modeling with Entropy-Driven UncertaintyLLM reasoning → Reinforcement learning for reasoning +1
- Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Follow Your Motion: A Generic Temporal Consistency Portrait Editing Framework with Trajectory GuidanceDiffusion models → Audio, speech and music
- DeepSound-V1: Start to Think Step-by-Step in the Audio Generation from VideosLLM reasoning → Audio-language model reasoning
- Multi-modal Knowledge Distillation-based Human Trajectory ForecastingKnowledge distillation → Multimodal distillation
- Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference OptimizationDiffusion models → Audio, speech and music
- EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge DevicesEfficient LLM inference and serving → Early exit and edge inference
- Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- Reasoning of Large Language Models over Knowledge Graphs with Super-RelationsLLM reasoning → Knowledge- and tool-augmented reasoning
- Landscape of Thoughts: Visualizing the Reasoning Process of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- PharmAgents: Building a Virtual Pharma with Large Language Model AgentsLLM agents and tool use → Medical and scientific domain agents
- EgoToM: Benchmarking Theory of Mind Reasoning from Egocentric VideosLLM reasoning → Spatial and embodied reasoning
- Tokenization of Gaze DataMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Score-Based Turbo Message Passing for Plug-and-Play Compressive Image RecoveryDiffusion models → Inverse problems and image restoration
- Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion ModelDiffusion models → Audio, speech and music
- Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHFLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Beyond Single-Sentence Prompts: Upgrading Value Alignment Benchmarks with Dialogues and StoriesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- How Well Can Vison-Language Models Understand Humans' Intention? An Open-ended Theory of Mind Question Evaluation BenchmarkLLM reasoning → Multimodal reasoning +1
- SimBank: from Simulation to Solution in Prescriptive Process Monitoring
- Energy-Efficient Green AI Architectures for Circular Economies Through Multi-Layered Sustainable Resource Optimization Framework
- A Review of Incorporating Psychological Theories in LLMs
- Skeleton-Based Transformer for Classification of Errors and Better Feedback in Low Back Pain Physical Rehabilitation Exercises
- Domain Specific Question to SQL Conversion with Embedded Data Balancing Technique
- Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces
- RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
- Scalable heliostat surface predictions from focal spots: Sim-to-Real transfer of inverse Deep Learning Raytracing
- A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA
- NLS: Natural-Level Synthesis for Hardware Implementation Through GenAI
- Information Gain Is Not All You Need
- Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
- Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
- Improving Applicability of Deep Learning based Token Classification models during Training
- Mesh Compression with Quantized Neural Displacement Fields
- Diagnosis of Pulmonary Hypertension by Integrating Multimodal Data with a Hybrid Graph Convolutional and Transformer Network
- Generating Structured Plan Representation of Procedures with LLMs
- Opioid Named Entity Recognition (ONER-2025) from Reddit
- Generalization Bias in Large Language Model Summarization of Scientific Research
- A multi-locus predictiveness curve and its summary assessment for genetic risk prediction
- A Novel Distance-Based Metric for Quality Assessment in Image Segmentation
- Autonomous AI for Multi-Pathology Detection in Chest X-Rays: A Multi-Site Study in the Indian Healthcare System
- FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages
- Celler:A Genomic Language Model for Long-Tailed Single-Cell Annotation
- Resona: Improving Context Copying in Linear Recurrence Models with Retrieval
- DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
- Enhancing DeepLabV3+ to Fuse Aerial and Satellite Images for Semantic Segmentation
- SocialGen: Modeling Multi-Human Social Interaction with Language Models
- Learning Library Cell Representations in Vector Space
- MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
All 276
- Pairwise Matching of Intermediate Representations for Fine-grained Explainability
- The Marine Debris Forward-Looking Sonar Datasets
- VizFlyt: Perception-centric Pedagogical Framework For Autonomous Aerial Robots
- SIGHT: Synthesizing Image-Text Conditioned and Geometry-Guided 3D Hand-Object Trajectories
- Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study
- Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets
- RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
- GmNet: Revisiting Gating Mechanisms From A Frequency View
- Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach
- Quantum Doeblin Coefficients: Interpretations and Applications
- Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
- Data-Driven Worker Activity Recognition and Efficiency Estimation in Manual Fruit Harvesting
- A formula for the area of a triangle: Useless, but explicitly in Deep Sets form
- Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games
- Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation
- Congenital Heart Disease Classification Using Phonocardiograms: A Scalable Screening Tool for Diverse Environments
- GroundHog: Revolutionizing GLDAS Groundwater Storage Downscaling for Enhanced Recharge Estimation in Bangladesh
- MediTools -- Medical Education Powered by LLMs
- DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness
- TranSplat: Instant Object Relighting in Gaussian Splatting via Spherical Harmonic Radiance Transfer
- Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
- ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers
- Understanding Co-speech Gestures in-the-wild
- Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure
- Differential equation quantum solvers: engineering measurements to reduce cost
- Tropical Bisectors and Carlini-Wagner Attacks
- Sentiment Classification of Thai Central Bank Press Releases Using Supervised Learning
- Challenges and Paths Towards AI for Software Engineering
- Using Machine Learning for Lunar Mineralogy-I: Hyperspectral Imaging of Volcanic Samples
- Audio-Plane: Audio Factorization Plane Gaussian Splatting for Real-Time Talking Head Synthesis
- KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation
- Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012
- Next-Best-Trajectory Planning of Robot Manipulators for Effective Observation and Exploration
- Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish
- Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation
- A Framework for Cryptographic Verifiability of End-to-End AI Pipelines
- Comparing Methods for Bias Mitigation in Graph Neural Networks
- Benchmarking Ultra-Low-Power μNPUs
- Niyama : Breaking the Silos of LLM Inference Serving
- Image Decomposition with G-norm Weighted by Total Symmetric Variation
- MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets
- Bridging the Dimensional Chasm: Uncover Layer-wise Dimensional Reduction in Transformers through Token Correlation
- SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles
- LIM: Large Interpolator Model for Dynamic Reconstruction
- MixFunn: A Neural Network for Differential Equations with Improved Generalization and Interpretability
- AnnoPage Dataset: Dataset of Non-Textual Elements in Documents with Fine-Grained Categorization
- Ice-FMBench: A Foundation Model Benchmark for Sea Ice Type Segmentation
- Masked Self-Supervised Pre-Training for Text Recognition Transformers on Large-Scale Datasets
- Learnable cut flow for high energy physics
- SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand Forecasting
- Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent
- DeepOFormer: Deep Operator Learning with Domain-informed Features for Fatigue Life Prediction
- SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations
- Entropy-guided sequence weighting for efficient exploration in RL-based LLM fine-tuning
- A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
- STADE: Standard Deviation as a Pruning Metric
- Comparison between neural network clustering, hierarchical clustering and k-means clustering: Applications using fluidic lenses
- Scaling Laws in Scientific Discovery with AI and Robot Scientists
- EndoLRMGS: Complete Endoscopic Scene Reconstruction combining Large Reconstruction Modelling and Gaussian Splatting
- NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving
- MVSAnywhere: Zero-Shot Multi-View Stereo
- Issue Localization via LLM-Driven Iterative Code Graph Searching
- Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis
- Robustness quantification: a new method for assessing the reliability of the predictions of a classifier
- DF2023: The Digital Forensics 2023 Dataset for Image Forgery Detection
- Elite political incivility is rising across democracies
- Training Large Language Models for Advanced Typosquatting Detection
- Modeling Multiple Normal Action Representations for Error Detection in Procedural Tasks
- EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing
- Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models
- VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
- DF-Net: The Digital Forensics Network for Image Forgery Detection
- GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain
- On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach
- Endo-TTAP: Robust Endoscopic Tissue Tracking via Multi-Facet Guided Attention and Hybrid Flow-point Supervision
- MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
- Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors
- Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
- Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance
- ViSketch-GPT: Collaborative Multi-Scale Feature Extraction for Sketch Recognition and Generation
- Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
- ForcePose: A Deep Learning Approach for Force Calculation Based on Action Recognition Using MediaPipe Pose Estimation Combined with Object Detection
- Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs
- Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
- Shapley Revisited: Tractable Responsibility Measures for Query Answers
- Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
- One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images
- ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting
- Semantix: An Energy Guided Sampler for Semantic Style Transfer
- SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detection
- WMCopier: Forging Invisible Image Watermarks on Arbitrary Images
- A Refined Analysis of Massive Activations in LLMs
- VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
- AH-GS: Augmented 3D Gaussian Splatting for High-Frequency Detail Representation
- Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs
- A Dataset for Semantic Segmentation in the Presence of Unknowns
- VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
- RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
- Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration
- MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
- CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills
- Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
- Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation
- Segment Any Motion in Videos
- DeepAudio-V1:Towards Multi-Modal Multi-Stage End-to-End Video to Speech and Audio Generation
- Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion
- DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation
- A Mesh-Adaptive Hypergraph Neural Network for Unsteady Flow Around Oscillating and Rotating Structures
- Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach
- Modeling Challenging Patient Interactions: LLMs for Medical Communication Training
- FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation
- SCHNet: SAM Marries CLIP for Human Parsing
- Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridging
- WeatherMesh-3: Fast and accurate operational global weather forecasting
- CoGen: 3D Consistent Video Generation via Adaptive Conditioning for Autonomous Driving
- MFH: A Multi-faceted Heuristic Algorithm Selection Approach for Software Verification
- DREMnet: An Interpretable Denoising Framework for Semi-Airborne Transient Electromagnetic Signal
- ABC-GS: Alignment-Based Controllable Style Transfer for 3D Gaussian Splatting
- Learning to Instruct for Visual Instruction Tuning
- Interpretable Deep Learning Paradigm for Airborne Transient Electromagnetic Inversion
- Fuzzy Cluster-Aware Contrastive Clustering for Time Series
- Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
- Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
- Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting
- Hyperspectral Adapter for Object Tracking based on Hyperspectral Video
- Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning
- ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
- Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need
- An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
- Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items
- e-person Architecture and Framework for Human-AI Co-adventure Relationship
- Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data
- High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning
- AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
- 3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph
- A Multi-Site Study on AI-Driven Pathology Detection and Osteoarthritis Grading from Knee X-Ray
- Efficient Continual Learning through Frequency Decomposition and Integration
- Synergistic Bleeding Region and Point Detection in Laparoscopic Surgical Videos
- CA-LoRA: Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
- An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
- T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
- Disentangled 4D Gaussian Splatting: Rendering High-Resolution Dynamic World at 343 FPS
- Dataset Distillation of 3D Point Clouds via Distribution Matching
- When Autonomy Breaks: The Hidden Existential Risk of AI
- Characterizing Non-Markovian Dynamics of Open Quantum Systems
- FRASE: Structured Representations for Generalizable SPARQL Query Generation
- A Self-Supervised Learning of a Foundation Model for Analog Layout Design Automation
- Integrating Artificial Intelligence with Human Expertise: An In-depth Analysis of ChatGPT's Capabilities in Generating Metamorphic Relations
- Time-resolved dynamic CBCT reconstruction using prior-model-free spatiotemporal Gaussian representation (PMF-STGR)
- Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
- Convolutional optimization with convex kernel and power lift
- Long-Term Electricity Demand Prediction Using Non-negative Tensor Factorization and Genetic Algorithm-Driven Temporal Modeling
- Semantic segmentation for building houses from wooden cubes
- Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations
- Camera Model Identification with SPAIR-Swin and Entropy based Non-Homogeneous Patches
- Multimodal Machine Learning for Real Estate Appraisal: A Comprehensive Survey
- Estimating City-wide Operating Mode Distribution of Light-Duty Vehicles: A Neural Network-based Approach
- Few-Shot Graph Out-of-Distribution Detection with LLMs
- Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes
- Streaming Dense Voxel Representations for 3D Occupancy Prediction
- ReLU Networks as Random Functions: Their Distribution in Probability Space
- A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
- A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition
- Concise One-Layer Transformers Can Do Function Evaluation (Sometimes)
- Penrose Tiled Low-Rank Compression and Section-Wise Q&A Fine-Tuning: A General Framework for Domain-Specific Large Language Model Adaptation
- Contrasting Low and High-Resolution Features for HER2 Scoring using Deep Learning
- A Proposal for Networks Capable of Continual Learning
- Multi-Task Semantic Communications via Large Models
- Arch-VQ: Discrete Architecture Representation Learning with Autoregressive Priors
- Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges
- Low Rank and Sparse Fourier Structure in Recurrent Networks Trained on Modular Addition
- tempdisagg: A Python Framework for Temporal Disaggregation of Time Series Data
- Improving the generalization of deep learning models in the segmentation of mammography images
- Non-Monotonic Attention-based Read/Write Policy Learning for Simultaneous Translation
- A Deep Learning Framework for Boundary-Aware Semantic Segmentation