Papers
Fri 22 Mar 2024
251 papers
- Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic SurgeryMultimodal LLMs / vision-language models → Medical vision-language models
- Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)LLM agents and tool use → Educational agents and math problem solving
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversRetrieval-augmented generation → RAG pipeline design and evaluation
- Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential RecommendationKnowledge distillation → Distillation for recommender systems
- CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor EnvironmentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Teacher-free Latent Self-distillation and Class-separable Representations for Lightweight IoT Attack DetectionKnowledge distillation → Federated, robust and private distillation
- DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated DataDiffusion models → Diffusion foundations and sampling
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal ModelsLLM reasoning → Multimodal reasoning +2
- SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time seriesState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Ultrasound Imaging based on the Variance of a Diffusion Restoration ModelDiffusion models → Medical imaging and segmentation
- Controlled Training Data Generation with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing +1
- Planning with a Learned Policy Basis to Optimally Solve Complex TasksDeep reinforcement learning methods → Deep RL algorithms and representations
- Sphere Neural-Networks for Rational ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Event Temporal Relation Extraction based on Retrieval-Augmented on LLMsRetrieval-augmented generation → RAG pipeline design and evaluation
- Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial PoliciesDeep reinforcement learning methods → RL theory and sample complexity
- Spectral Motion Alignment for Video Motion Transfer using Diffusion ModelsDiffusion models → Video generation
- Reasoning-Enhanced Object-Centric Learning for VideosLLM reasoning → Multimodal reasoning
- Shadow Generation for Composite Image Using Diffusion modelDiffusion models → 3D, point cloud and scene generation
- Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but ImprovementDeep reinforcement learning methods → RL for games and combinatorial optimization
- CACA Agent: Capability Collaboration based AI AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Driving from Vision through Differentiable Optimal ControlEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Subequivariant Reinforcement Learning Framework for Coordinated Motion ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Automated Feature Selection for Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- A Twin Delayed Deep Deterministic Policy Gradient Algorithm for Autonomous Ground Vehicle Navigation via Digital Twin Perception AwarenessDeep reinforcement learning methods → RL for robot navigation and UAV control
- MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition IntegrationDiffusion models → Image generation, text-to-image and editing
- Toward Tiny and High-quality Facial Makeup with Data Amplify LearningDiffusion models → Image generation, text-to-image and editing
- Risk and Response in Large Language Models: Evaluating Key Threat CategoriesLLM safety and security → Safety alignment, refusal and guardrails
- MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-ThoughtsLLM reasoning → Prompting and chain-of-thought reasoning
- A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability FlowDiffusion models → 3D, point cloud and scene generation
- Evidence-Driven Retrieval Augmented Response Generation for Online MisinformationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- CLIP-VQDiffusion : Langauge Free Training of Text To Image generation using CLIP and vector quantized diffusion modelDiffusion models → Image generation, text-to-image and editing
- STAG4D: Spatial-Temporal Anchored Generative 4D GaussiansDiffusion models → 3D, point cloud and scene generation
- Extending Token Computation for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Hierarchical Skip Decoding for Efficient Autoregressive Text GenerationEfficient LLM inference and serving → Speculative decoding
- Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit ReasoningLLM reasoning → Causal reasoning in LLMs
- Explanation Hacking: The perils of algorithmic recourse
- The Ethics of AI in Education
- Hear Me, See Me, Understand Me: Audio-Visual Autism Behavior Recognition
- Classification of colorectal primer carcinoma from normal colon with mid-infrared spectra
- Global License Plate Dataset
- An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification
- Advancing Frontiers in SLAM: A Survey of Symbolic Representation and Human-Machine Teaming in Environmental Mapping
- Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
- Optimal path for Biomedical Text Summarization Using Pointer GPT
- Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations
- Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data
- Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings
- Testing of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound
- Towards gaze-independent c-VEP BCI: A pilot study
- Visualization of Unstructured Sports Data -- An Example of Cricket Short Text Commentary
- First path component power based NLOS mitigation in UWB positioning system
- Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers
- GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering
- Unifying Large Language Model and Deep Reinforcement Learning for Human-in-Loop Interactive Socially-aware Navigation
- RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
- Application of the NIST AI Risk Management Framework to Surveillance Technology
- Contextual Restless Multi-Armed Bandits with Application to Demand Response Decision-Making
- Differentially Private Next-Token Prediction of Large Language Models
- Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting
- NaturalTurn: A Method to Segment Speech into Psychologically Meaningful Conversational Turns
- InterFusion: Text-Driven Generation of 3D Human-Object Interaction
- Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
- Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
- Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People
- Forward Learning for Gradient-based Black-box Saliency Map Generation
- From Guidelines to Governance: A Study of AI Policies in Education
- Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers
- An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting
- Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
- Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges
- Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors
- MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
- U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments
- Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control
- Data-centric Prediction Explanation via Kernelized Stein Discrepancy
- SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classification
- Augmented Reality Warnings in Roadway Work Zones: Evaluating the Effect of Modality on Worker Reaction Times
- Do not trust what you trust: Miscalibration in Semi-supervised Learning
- A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation
- An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes
- Language-Based Depth Hints for Monocular Depth Estimation
- Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting
- LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
- Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs
- Conformal online model aggregation
- Latent Neural Cellular Automata for Resource-Efficient Image Restoration
- PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
- Towards auditory attention decoding with noise-tagging: A pilot study
- Medical Image Data Provenance for Medical Cyber-Physical System
- Exploring new territory: Calibration-free decoding for c-VEP BCI
- GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation
- Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
- CTSM: Combining Trait and State Emotions for Empathetic Response Model
- Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
- Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
All 251
- Privacy-Preserving End-to-End Spoken Language Understanding
- SymboSLAM: Semantic Map Generation in a Multi-Agent System
- LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
- ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars
- DragAPart: Learning a Part-Level Motion Prior for Articulated Objects
- Long-CLIP: Unlocking the Long-Text Capability of CLIP
- InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
- Can large language models explore in-context?
- Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
- A Transfer Attack to Image Watermarks
- Towards Knowledge-Grounded Natural Language Understanding and Generation
- Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks
- CoLLEGe: Concept Embedding Generation for Large Language Models
- Learning Topological Representations for Deep Image Understanding
- Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
- Fully automated workflow for designing patient-specific orthopaedic implants: application to total knee arthroplasty
- Multi-Review Fusion-in-Context
- Collaborative AI Teaming in Unknown Environments via Active Goal Deduction
- Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
- A Technological Perspective on Misuse of Available AI
- CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction
- Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
- Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
- CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking
- A Wasserstein perspective of Vanilla GANs
- Addressing Label Leakage in Knowledge Tracing Models
- Human behaviour through a LENS: How Linguistic content triggers Emotions and Norms and determines Strategy choices
- Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse
- Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions
- Specifying Genericity through Inclusiveness and Abstractness Continuous Scales
- Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review
- WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization
- Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models
- Hyperbolic Metric Learning for Visual Outlier Detection
- Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks
- Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
- Comprehensive Reassessment of Large-Scale Evaluation Outcomes in LLMs: A Multifaceted Statistical Approach
- Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks
- FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
- A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness
- Robust Utility Optimization via a GAN Approach
- IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection
- Guided Decoding for Robot On-line Motion Generation and Adaption
- WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology
- Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks
- An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets
- LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example
- Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations
- (Un)making AI Magic: a Design Taxonomy
- InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection
- GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
- Early Period of Training Impacts Adaptation for Out-of-Distribution Generalization: An Empirical Study
- MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
- Robust optimization for adversarial learning with finite sample complexity guarantees
- DITTO: Demonstration Imitation by Trajectory Transformation
- FSD-Inference: Fully Serverless Distributed Inference with Scalable Cloud Communication
- Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
- SFOD: Spiking Fusion Object Detector
- Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study
- PDE-CNNs: Axiomatic Derivations and Applications
- A Two Level Neural Approach Combining Off-Chip Prediction with Adaptive Prefetch Filtering
- Brain-aligning of semantic vectors improves neural decoding of visual stimuli
- Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
- LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
- Exploring the Task-agnostic Trait of Self-supervised Learning in the Context of Detecting Mental Disorders
- Transition Graph Properties of Target Class Classification
- FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos
- Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspective
- Caption-Matching: A Multimodal Approach for Cross-Domain Image Retrieval
- An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
- On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond
- Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project
- Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
- Transfer CLIP for Generalizable Image Denoising
- Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
- EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
- Quantification using Permutation-Invariant Networks based on Histograms
- SYNCS: Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus Segmentation
- An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification
- Language Models in Dialogue: Conversational Maxims for Human-AI Interactions
- Solving a Real-World Package Delivery Routing Problem Using Quantum Annealers
- Text Clustering with Large Language Model Embeddings
- Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks
- PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation
- Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data
- UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
- Argument-Aware Approach To Event Linking
- End-to-End Mineral Exploration with Artificial Intelligence and Ambient Noise Tomography
- IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence
- CHisIEC: An Information Extraction Corpus for Ancient Chinese History
- SIMAP: A simplicial-map layer for neural networks
- Cell Variational Information Bottleneck Network
- GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
- Comprehensive Lipidomic Automation Workflow using Large Language Models
- Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
- Broadening the Scope of Neural Network Potentials through Direct Inclusion of Additional Molecular Attributes
- Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
- Recent Trends in 3D Reconstruction of General Non-Rigid Scenes
- Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans
- Construction of a Japanese Financial Benchmark for Large Language Models
- Subjective Quality Assessment of Compressed Tone-Mapped High Dynamic Range Videos
- Continual Vision-and-Language Navigation
- Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information
- DP-Dueling: Learning from Preference Feedback without Compromising User Privacy
- Multimodal Fusion with Pre-Trained Model Features in Affective Behaviour Analysis In-the-wild
- LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
- ESG Classification by Implicit Rule Learning via GPT-4
- Estimation of multiple mean vectors in high dimension
- An Integrated Neighborhood and Scale Information Network for Open-Pit Mine Change Detection in High-Resolution Remote Sensing Images
- Image Classification with Rotation-Invariant Variational Quantum Circuits
- Grey-informed neural network for time-series forecasting
- VRSO: Visual-Centric Reconstruction for Static Object Annotation
- Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model
- Insights into the Lottery Ticket Hypothesis and Iterative Magnitude Pruning
- BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
- Vehicle Detection Performance in Nordic Region
- Extracting Human Attention through Crowdsourced Patch Labeling
- Empirical investigation of multi-source cross-validation in clinical ECG classification
- Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric Uncertainty
- Clean-image Backdoor Attacks
- TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization
- Tri-Perspective View Decomposition for Geometry-Aware Depth Completion
- ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding
- Magic for the Age of Quantized DNNs
- Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
- MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness
- MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection
- Generative Active Learning for Image Synthesis Personalization
- Piecewise-Linear Manifolds for Deep Metric Learning
- AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies
- Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
- Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
- Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices
- Simple Graph Condensation
- KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
- Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
- GPT-Connect: Interaction between Text-Driven Human Motion Generator and 3D Scenes in a Training-free Manner
- A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
- Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
- On Zero-Shot Counterspeech Generation by LLMs
- Survey on Modeling of Human-made Articulated Objects
- Contrastive Learning on Multimodal Analysis of Electronic Health Records
- CODA: A Continuous Online Evolve Framework for Deploying HAR Sensing Systems
- Deep learning-based method for weather forecasting: A case study in Itoshima
- Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
- Defying Imbalanced Forgetting in Class Incremental Learning
- Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
- Hydro: Adaptive Query Processing of ML Queries
- Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information
- Web-based Melanoma Detection
- Geometric Generative Models based on Morphological Equivariant PDEs and GANs