Papers
Fri 20 Dec 2024
287 papers
- Level-Navi Agent: A Framework and benchmark for Chinese Web Search AgentsLLM agents and tool use → Web, search, and research agents
- Reconstructing 3D Flow from 2D Data with Diffusion TransformerDiffusion models → Flow matching, time series and science
- Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and PlanningDeep reinforcement learning methods → Deep RL algorithms and representations
- LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty GuidanceKnowledge distillation → Detection and dense prediction distillation
- REFA: Reference Free Alignment for multi-preference optimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational ContextLLM safety and security → Jailbreaking
- Deliberative Alignment: Reasoning Enables Safer Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative StudySynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- Towards Safe and Honest AI Agents with Neural Self-Other OverlapLLM agents and tool use → Social simulation and multi-agent debate
- HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge BasesRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving SystemsEnd-to-end autonomous driving → Large language models for driving
- Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingLLM reasoning → Test-time compute and efficient thinking
- PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Decoding fairness: a reinforcement learning perspectiveDeep reinforcement learning methods → RL for games and combinatorial optimization
- Optimizing Low-Speed Autonomous Driving: A Reinforcement Learning Approach to Route Stability and Maximum SpeedEnd-to-end autonomous driving → Reinforcement learning for driving +1
- HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language EmbeddingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision TasksState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Offline Reinforcement Learning for LLM Multi-Step ReasoningLLM reasoning → Reinforcement learning for reasoning +2
- PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation MetricsEfficient LLM inference and serving → Prompt and context compression
- PruneVid: Visual Token Pruning for Efficient Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers UpDiffusion models → Video generation
- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAGRetrieval-augmented generation → Medical and biomedical RAG
- Federated Diffusion Modeling with Differential Privacy for Tabular Data SynthesisDiffusion models → Robustness, privacy and adversarial aspects
- Formal Mathematical Reasoning: A New Frontier in AILLM reasoning → Mathematical reasoning
- Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac FluoroscopyDiffusion models → Medical imaging and segmentation
- SafeCFG: Controlling Harmful Features with Dynamic Safe Guidance for Safe GenerationDiffusion models → Robustness, privacy and adversarial aspects
- APIRL: Deep Reinforcement Learning for REST API FuzzingDeep reinforcement learning methods → RL training of language and agent models
- Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without ElectroencephalographyState-space sequence models (S4, Mamba) → Physiological signal modeling
- MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and DetectionMultimodal LLMs / vision-language models → Medical vision-language models
- What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Semi-Supervised Adaptation of Diffusion Models for Handwritten Text GenerationDiffusion models → Image generation, text-to-image and editing
- Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer AggregationState-space sequence models (S4, Mamba) → Mamba for image restoration
- Align Anything: Training All-Modality Models to Follow Instructions with Language FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- WebLLM: A High-Performance In-Browser LLM Inference EngineEfficient LLM inference and serving → Serving systems and request scheduling
- Diffusion-Based Conditional Image Editing through Optimized Inference with GuidanceDiffusion models → Image generation, text-to-image and editing
- Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex ReasoningLLM reasoning → Mathematical reasoning +1
- Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster InferenceMechanistic interpretability → Knowledge and representations inside LLMs
- Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language ModelsLLM reasoning → Clinical and biomedical applications
- VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Theory of Mixture-of-Experts for Mobile Edge ComputingMixture-of-experts → Expert routing strategies
- DOLLAR: Few-Step Video Generation via Distillation and Latent Reward OptimizationDiffusion models → Video generation +1
- BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
- SCENIC: Scene-aware Semantic Navigation with Instruction-guided ControlDiffusion models → 3D, point cloud and scene generation
- Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training PipelineLLM agents and tool use → General LLM agent frameworks and benchmarks
- Error-driven Data-efficient Large Multimodal Model TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-EvolutionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- CustomTTT: Motion and Appearance Customized Video Generation via Test-Time TrainingDiffusion models → Video generation
- A New Method to Capturing Compositional Knowledge in Linguistic SpaceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Can Input Attributions Explain Inductive Reasoning in In-Context Learning?LLM reasoning → Reasoning benchmarks and evaluation
- JailPO: A Novel Black-box Jailbreak Framework via Preference Optimization against Aligned LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- 3D Shape Tokenization via Latent Flow MatchingDiffusion models → 3D, point cloud and scene generation
- Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool UsageLLM agents and tool use → Tool learning and function calling
- Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge TasksRetrieval-augmented generation → Generation and context integration
- Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem GenerationLLM reasoning → Mathematical reasoning
- Dexterous Manipulation Based on Prior Dexterous Grasp Pose KnowledgeDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Score-based Generative Diffusion Models for Social RecommendationsDiffusion models → Diffusion recommenders
- QUART-Online: Latency-Free Large Multimodal Language Model for Quadruped Robot LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional ReasoningLLM reasoning → Clinical and biomedical applications
- VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion ModelDiffusion models → Inverse problems and image restoration
- FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHFLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to BranchOffline RL and imitation learning from data → Inverse reinforcement learning +1
- XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Generalized Back-Stepping Experience Replay in Sparse-Reward EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
- PolySmart @ TRECVid 2024 Video Captioning (VTT)Multimodal LLMs / vision-language models → Video understanding with MLLMs
- Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent FrameworkLLM agents and tool use → Social simulation and multi-agent debate
- TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool UseLLM agents and tool use → Tool learning and function calling
- Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and CoverageMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States
- Developing an Ontology for AI Act Fundamental Rights Impact Assessments
- A Computational Model of Learning and Memory Using Structurally Dynamic Cellular Automata
- Optimal bounds for dissatisfaction in perpetual voting
- A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages
- KRAIL: A Knowledge-Driven Framework for Base Human Reliability Analysis Integrating IDHEAS and Large Language Models
- EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation
- The Unreasonable Effectiveness of Open Science in AI: A Replication Study
- Graph Structure Refinement with Energy-based Contrastive Learning
- Foxtsage vs. Adam: Revolution or Evolution in Optimization?
- Learning Disease Progression Models That Capture Health Disparities
- GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification
- Ethics and Technical Aspects of Generative AI Models in Digital Content Creation
- Collision-based Dynamics for Multi-Marginal Optimal Transport
- VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation
- Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation
- FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
- Navigating AI to Unpack Youth Privacy Concerns: An In-Depth Exploration and Systematic Review
- Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)
- Toward Robust Neural Reconstruction from Sparse Point Sets
- Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection
- Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models
- SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum
- A Machine Learning Approach for Emergency Detection in Medical Scenarios Using Large Language Models
- Real Faults in Deep Learning Fault Benchmarks: How Real Are They?
- DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
- Optimizing Fintech Marketing: A Comparative Study of Logistic Regression and XGBoost
- Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring
- When Worse is Better: Navigating the compression-generation tradeoff in visual tokenization
All 287
- Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
- Machine Learning Neutrino-Nucleus Cross Sections
- Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories
- Benchmarking LLMs and SLMs for patient reported outcomes
- Mapping the Mind of an Instruction-based Image Editing using SMILE
- SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification
- LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
- Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning
- MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
- A Classification Benchmark for Artificial Intelligence Detection of Laryngeal Cancer from Patient Voice
- Learned Compression of Nonlinear Time Series With Random Access
- Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
- VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution
- Aria-UI: Visual Grounding for GUI Instructions
- Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
- Adversarial Robustness through Dynamic Ensemble Learning
- ExCellGen: Fast, Controllable, Photorealistic 3D Scene Generation from a Single Real-World Exemplar
- Post-hoc Interpretability Illumination for Scientific Interaction Discovery
- Know2Vec: A Black-Box Proxy for Neural Network Retrieval
- Training-free Heterogeneous Graph Condensation via Data Selection
- Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
- Personalized Representation from Personalized Generation
- Can Generative Video Models Help Pose Estimation?
- MotiF: Making Text Count in Image Animation with Motion Focal Loss
- SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
- FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
- NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems
- Camera-Based Localization and Enhanced Normalized Mutual Information
- Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
- EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysis
- LEDA: Log-Euclidean Diffeomorphism Autoencoder for Efficient Statistical Analysis of Diffeomorphisms
- Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource Scripts
- Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy
- Demystifying the Potential of ChatGPT-4 Vision for Construction Progress Monitoring
- Logical Consistency of Large Language Models in Fact-checking
- Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis
- The Evolution of LLM Adoption in Industry Data Curation Practices
- Efficient MedSAMs: Segment Anything in Medical Images on Laptop
- Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game
- SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data
- Segmentation of arbitrary features in very high resolution remote sensing imagery
- Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India
- A Framework for Streaming Event-Log Prediction in Business Processes
- Learning sparsity-promoting regularizers for linear inverse problems
- CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images
- The Only Way is Ethics: A Guide to Ethical Research with Large Language Models
- Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition
- CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation
- Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling
- Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
- Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks
- MR-GDINO: Efficient Open-World Continual Object Detection
- BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models
- Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?
- Monkey Transfer Learning Can Improve Human Pose Estimation
- Learning Personalized Prompts for Healthcare Guidance
- Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
- Trust Calibration in IDEs: Paving the Way for Widespread Adoption of AI Refactoring
- Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation
- Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation
- RiTTA: Modeling Event Relations in Text-to-Audio Generation
- Less is More: Towards Green Code Large Language Models via Unified Structural Pruning
- Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?
- Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting
- CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences
- Speedup Techniques for Switchable Temporal Plan Graph Optimization
- Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model
- On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education
- A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities
- Statistical Modeling of Univariate Multimodal Data
- TelcoLM: collecting data, adapting, and benchmarking language models for the telecommunication domain
- NeuroPump: Simultaneous Geometric and Color Rectification for Underwater Images
- IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning
- Approximate State Abstraction for Markov Games
- AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI
- IRGS: Inter-Reflective Gaussian Splatting with 2D Gaussian Ray Tracing
- The common ground of DAE approaches. An overview of diverse DAE frameworks emphasizing their commonalities
- Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
- MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems
- On Robust Cross Domain Alignment
- Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance
- Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart
- Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison
- Traffic-Rule-Compliant Trajectory Repair via Satisfiability Modulo Theories and Reachability Analysis
- Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
- Enriching Social Science Research via Survey Item Linking
- Measuring Cross-Modal Interactions in Multimodal Models
- Using matrix-product states for time-series machine learning
- S2DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
- π-yalli: un nouveau corpus pour le nahuatl
- Robustness-enhanced Myoelectric Control with GAN-based Open-set Recognition
- Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes
- Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
- Deep learning joint extremes of metocean variables using the SPAR model
- Bi-directional Mapping of Morphology Metrics and 3D City Blocks for Enhanced Characterization and Generation of Urban Form
- GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
- Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research
- Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech
- Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles
- Probabilistic Latent Variable Modeling for Dynamic Friction Identification and Estimation
- Sparse Point Clouds Assisted Learned Image Compression
- From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
- Prompt-based Unifying Inference Attack on Graph Neural Networks
- The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings
- fluke: Federated Learning Utility frameworK for Experimentation and research
- Fine-tuning Whisper on Low-Resource Languages for Real-World Applications
- Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins
- AutoLife: Automatic Life Journaling with Smartphones and LLMs
- Contrastive Learning for Task-Independent SpeechLLM-Pretraining
- MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
- AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
- Concept Boundary Vectors
- Hypergraph clustering using Ricci curvature: an edge transport perspective
- Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
- GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations
- Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses
- Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
- AI-generated Image Quality Assessment in Visual Communication
- PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium
- Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction
- Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
- A survey on FPGA-based accelerator for ML models
- Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
- MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
- Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
- CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures
- Lecture Notes on High Dimensional Linear Regression
- TouchASP: Elastic Automatic Speech Perception that Everyone Can Touch
- Modeling Autonomous Shifts Between Focus State and Mind-Wandering Using a Predictive-Coding-Inspired Variational RNN Model
- Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
- Microservices-Based Framework for Predictive Analytics and Real-time Performance Enhancement in Travel Reservation Systems
- Technical Report for ICML 2024 TiFA Workshop MLLM Attack Challenge: Suffix Injection and Projected Gradient Descent Can Easily Fool An MLLM
- A Fusion Approach of Dependency Syntax and Sentiment Polarity for Feature Label Extraction in Commodity Reviews
- Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification
- Music Genre Classification: Ensemble Learning with Subcomponents-level Attention
- Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation
- Long-Term EEG Partitioning for Seizure Onset Detection
- Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving
- Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining
- SemDP: Semantic-level Differential Privacy Protection for Face Datasets
- Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
- NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
- A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
- SaliencyI2PLoc: saliency-guided image-point cloud localization using contrastive learning
- J-EDI QA: Benchmark for deep-sea organism-specific multimodal LLM
- Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
- Continual Learning Using a Kernel-Based Method Over Foundation Models
- DefFiller: Mask-Conditioned Diffusion for Salient Steel Surface Defect Generation
- In-context Continual Learning Assisted by an External Continual Learner
- Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings
- Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models
- MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems
- Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
- AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning
- EGSRAL: An Enhanced 3D Gaussian Splatting based Renderer with Automated Labeling for Large-Scale Driving Scene
- De-singularity Subgradient for the q-th-Powered ℓp-Norm Weber Location Problem
- MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering
- Enhancing Large-scale UAV Route Planing with Global and Local Features via Reinforcement Graph Fusion
- The Impact of Cut Layer Selection in Split Federated Learning
- From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
- Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach
- PIGUIQA: A Physical Imaging Guided Perceptual Framework for Underwater Image Quality Assessment
- SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
- HREF: Human Response-Guided Evaluation of Instruction Following in Language Models
- InstructOCR: Instruction Boosting Scene Text Spotting
- PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time
- Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
- Reconstruction of Contour Lines During the Digitization of Contour Maps to Build a Digital Elevation Model
- PolySmart @ TRECVid 2024 Medical Video Question Answering
- RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
- ADEQA: A Question Answer based approach for joint ADE-Suspect Extraction using Sequence-To-Sequence Transformers
- Stylish and Functional: Guided Interpolation Subject to Physical Constraints
- Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models
- A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
- The First Multilingual Model For The Detection of Suicide Texts
- Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language
- Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
- DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
- GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators
- Multi-LLM Text Summarization
- Toward Appearance-based Autonomous Landing Site Identification for Multirotor Drones in Unstructured Environments
- Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
- Continual Learning Using Only Large Language Model Prompting
- Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
- Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data
- A Review of the Marathi Natural Language Processing
- Non-Uniform Parameter-Wise Model Merging