Papers
Fri 13 Sep 2024
246 papers
- MAISI: Medical AI for Synthetic ImagingDiffusion models → Medical imaging and segmentation
- MambaFoley: Foley Sound Generation using Selective State-Space ModelsDiffusion models → Audio, speech and music +1
- Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle LossDiffusion models → Diffusion and flow policies for robotics
- PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimageDiffusion models → 3D, point cloud and scene generation
- Agents in Software Engineering: Survey, Landscape, and VisionLLM agents and tool use → Software engineering coding agents
- AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Clean Label Attacks against SLU SystemsLLM safety and security → Audio jailbreaks and speech backdoors
- Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule ComplianceLLM agents and tool use → Social simulation and multi-agent debate
- A Diffusion Approach to Radiance Field Relighting using Multi-Illumination SynthesisDiffusion models → 3D, point cloud and scene generation
- Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series ImputationDiffusion models → Flow matching, time series and science
- Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior SamplingDiffusion models → Inverse problems and image restoration
- Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case StudiesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal ControlDiffusion models → Diffusion and flow policies for robotics
- DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s)Diffusion models → Medical imaging and segmentation
- Fingerprint Vector: Enabling Scalable and Efficient Model Fingerprint Transfer via Vector AdditionLLM safety and security → Watermarking generated content and models
- AIPO: Improving Training Objective for Iterative Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- A RAG Approach for Generating Competency Questions in Ontology EngineeringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Your Weak LLM is Secretly a Strong Teacher for AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace TaskLLM agents and tool use → General LLM agent frameworks and benchmarks
- Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised ModelingRetrieval-augmented generation → Medical and biomedical RAG
- DexSim2Real2: Building Explicit World Model for Precise Articulated Object Dexterous ManipulationWorld models → Embodied and robot world models
- DFADD: The Diffusion and Flow-Matching Based Audio Deepfake DatasetDiffusion models → Audio, speech and music
- Social Opinions Prediction Utilizes Fusing Dynamics Equation with LLM-based AgentsLLM agents and tool use → Social simulation and multi-agent debate
- xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory EditingDiffusion models → Diffusion and flow policies for robotics
- Agile Decision-Making and Safety-Critical Motion Planning for Emergency Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning TasksLLM reasoning → Reinforcement learning for reasoning +1
- LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented GenerationRetrieval-augmented generation → Conversational and speech RAG
- DiffFAS: Face Anti-Spoofing via Generative Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought DecodingLLM reasoning → Prompting and chain-of-thought reasoning
- Think Twice Before You Act: Improving Inverse Problem Solving With MCMCDiffusion models → Inverse problems and image restoration
- Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather DynamicsState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Enhancing Privacy in ControlNet and Stable Diffusion via Split LearningDiffusion models → Robustness, privacy and adversarial aspects
- Cross-conditioned Diffusion Model for Medical Image to Image TranslationDiffusion models → Medical imaging and segmentation
- Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical ImagesState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Sub-graph Based Diffusion Model for Link PredictionDiffusion models → Flow matching, time series and science
- Risks When Sharing LoRA Fine-Tuned Diffusion Model WeightsDiffusion models → Robustness, privacy and adversarial aspects
- Exploring Information Retrieval Landscapes: An Investigation of a Novel Evaluation Techniques and Comparative Document Splitting MethodsRetrieval-augmented generation → RAG pipeline design and evaluation
- Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence ModelingDiffusion models → Flow matching, time series and science
- Generalization Boosted Adapter for Open-Vocabulary SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- VLTP: Vision-Language Guided Token Pruning for Task-Oriented SegmentationEfficient LLM inference and serving → Token pruning and merging for ViTs
- Propaganda is all you need
- Enhancing transparency in AI-powered customer engagement
- AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention
- PHemoNet: A Multimodal Network for Physiological Signals
- Low-code from frontend to backend: Connecting conversational user interfaces to backend services via a low-code IoT platform
- Pronoun Logic
- Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection
- CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments
- KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models
- Eureka: Evaluating and Understanding Large Foundation Models
- Applying Action Masking and Curriculum Learning Techniques to Improve Data Efficiency and Overall Performance in Operational Technology Cyber Security using Reinforcement Learning
- Natural Adversaries: Fuzzing Autonomous Vehicles with Realistic Roadside Object Placements
- Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy?
- Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
- Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
- ReCLAP: Improving Zero Shot Audio Classification by Describing Sounds
- Extending predictive process monitoring for collaborative processes
- FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
- Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases
- Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features
- Are Sparse Neural Networks Better Hard Sample Learners?
- Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
- Automated design of nonreciprocal thermal emitters via Bayesian optimization
- ProcessTBench: An LLM Plan Generation Dataset for Process Mining
- FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images
- Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
- Transformer with Controlled Attention for Synchronous Motion Captioning
- Incorporation of Verifier Functionality in the Software for Operations and Network Attack Results Review and the Autonomous Penetration Testing System
- Phikon-v2, A large and public feature extractor for biomarker prediction
- Effective AGM Belief Contraction: A Journey beyond the Finitary Realm (Technical Report)
- Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity
- Curricula for Learning Robust Policies with Factored State Representations in Changing Environments
- DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification
- Fast Structured Orthogonal Dictionary Learning using Householder Reflections
- Multimodal Fusion with LLMs for Engagement Prediction in Natural Conversation
- FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection
- Exploring Biological Neuronal Correlations with Quantum Generative Models
- CHARM: Creating Halos with Auto-Regressive Multi-stage networks
- Transformers from Diffusion: A Unified Framework for Neural Message Passing
- Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems
- Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
- Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey
- S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
- AccentBox: Towards High-Fidelity Zero-Shot Accent Generation
- The unknotting number, hard unknot diagrams, and reinforcement learning
- Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks
- INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
- An Efficient and Streaming Audio Visual Active Speaker Detection System
- VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
- Contri(e)ve: Context + Retrieve for Scholarly Question Answering
- Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach
- SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity
- Model-independent variable selection via the rule-based variable priority
- E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases
- Biomimetic Frontend for Differentiable Audio Processing
- Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
- PINNfluence: Interpreting PINNs through Influence Functions
- A Bayesian Approach to Clustering via the Proper Bayesian Bootstrap: the Bayesian Bagged Clustering (BBC) algorithm
- Pushing the boundaries of event subsampling in event-based video classification using CNNs
All 246
- DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
- Pushing Joint Image Denoising and Classification to the Edge
- Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks
- SimSUM: Simulated Benchmark with Structured and Unstructured Medical Records
- Optimization and Generalization Guarantees for Weight Normalization
- Yes, Prime Minister, question order does matter -- and it's certainly not classical! But is it quantum?
- ClearDepth: Enhanced Stereo Perception of Transparent Objects for Robotic Manipulation
- Multi forests: Variable importance for multi-class outcomes
- XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution
- Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers
- HLTCOE JHU Submission to the Voice Privacy Challenge 2024
- Affective Computing Has Changed: The Foundation Model Disruption
- D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation
- AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
- Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection
- Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory
- Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark
- Interactive Masked Image Modeling for Multimodal Object Detection in Remote Sensing
- Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
- Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages
- InstantDrag: Improving Interactivity in Drag-based Image Editing
- Using The Concept Hierarchy for Household Action Recognition
- Kinect Calibration and Data Optimization For Anthropometric Parameters
- Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention
- RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge
- Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?
- Breaking reCAPTCHAv2
- Pathfinder for Low-altitude Aircraft with Binary Neural Network
- AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning
- Deep reinforcement learning for tracking a moving target in jellyfish-like swimming
- TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
- Exploring SSL Discrete Tokens for Multilingual ASR
- Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression
- Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data
- Reading ability detection using eye-tracking data with LSTM-based few-shot learning
- Exploring SSL Discrete Speech Features for Zipformer-based Contextual ASR
- Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes
- Modular Neural Wiretap Codes for Fading Channels
- Improving Contactless Fingerprint Recognition with Robust 3D Feature Extraction and Graph Embedding
- Sign Language Sense Disambiguation
- What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use
- The Practice of Averaging Rate-Distortion Curves over Testsets to Compare Learned Video Codecs Can Cause Misleading Conclusions
- In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
- Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
- Causal Transformer for Fusion and Pose Estimation in Deep Visual Inertial Odometry
- Measure-Theoretic Time-Delay Embedding
- HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit
- SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
- Energy Consumption Trends in Sound Event Detection Systems
- Journalists, Emotions, and the Introduction of Generative AI Chatbots: A Large-Scale Analysis of Tweets Before and After the Launch of ChatGPT
- Online Network Inference from Graph-Stationary Signals with Hidden Nodes
- Uncertainty Estimation by Density Aware Evidential Deep Learning
- A Hybrid Meta-Learning and Multi-Armed Bandit Approach for Context-Specific Multi-Objective Recommendation Optimization
- Uncertainty and Generalizability in Foundation Models for Earth Observation
- Adaptive Sampling for Continuous Group Equivariant Neural Networks
- Multi-intent Aware Contrastive Learning for Sequential Recommendation
- Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP
- Disentangling the sources of cyber risk premia
- Quasimetric Value Functions with Dense Rewards
- Distilling Monolingual and Crosslingual Word-in-Context Representations
- Layerwise Change of Knowledge in Neural Networks
- Text-To-Speech Synthesis In The Wild
- L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic Context
- NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction
- A Dual-Branch Parallel Network for Speech Enhancement and Restoration
- Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence
- Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
- B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests
- Autoregressive Sequence Modeling for 3D Medical Image Representation
- GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction
- NEST-RQ: Next Token Prediction for Speech Self-Supervised Pre-Training
- Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization
- Redesigning graph filter-based GNNs to relax the homophily assumption
- Acoustic identification of individual animals with hierarchical contrastive learning
- AdR-Gaussian: Accelerating Gaussian Splatting with Adaptive Radius
- Test-time Training for Hyperspectral Image Super-resolution
- Towards certifiable AI in aviation: landscape, challenges, and opportunities
- Investigating Disentanglement in a Phoneme-level Speech Codec for Prosody Modeling
- Online Learning Of Expanding Graphs
- Promoting Fairness in Link Prediction with Graph Enhancement
- LMAC-TD: Producing Time Domain Explanations for Audio Classifiers
- SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation
- Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
- Developing an Algorithm Selector for Green Configuration in Scheduling Problems
- Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
- Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets
- Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
- Sybil Detection using Graph Neural Networks
- An Empirical Study on the Computation Budget of Co-Optimization of Robot Design and Control in Simulation
- Joint image reconstruction and segmentation of real-time cardiac MRI in free-breathing using a model based on disentangled representation learning
- TapToTab : Video-Based Guitar Tabs Generation using AI and Audio Analysis
- Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework
- Dense Point Clouds Matter: Dust-GS for Scene Reconstruction from Sparse Viewpoints
- Optimizing Item-based Marketing Promotion Efficiency in C2C Marketplace with Dynamic Sequential Coupon Allocation Framework
- Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data
- Deep learning-based shot-domain seismic deblending
- Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation
- Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions
- Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators
- Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism
- Optimizing 4D Lookup Table for Low-light Video Enhancement via Wavelet Priori
- CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data
- LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling
- ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning
- Learning Short Codes for Fading Channels with No or Receiver-Only Channel State Information
- Molecular Graph Representation Learning via Structural Similarity Information
- HTR-VT: Handwritten Text Recognition with Vision Transformer
- Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
- Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection
- Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesia
- Second-order difference subspace
- CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting
- Fair CoVariance Neural Networks
- DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
- LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study
- Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks
- ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and Low-Rank Adaptation via Instruction-Tuned Large Language Model
- An Efficient Privacy-aware Split Learning Framework for Satellite Communications
- SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
- Eir: Thai Medical Large Language Models
- MAPX: An explainable model-agnostic framework for the detection of false information on social media networks
- Learning to Detect Cyber Attacks: Neural Anomaly Detection for Cybersecurity with Theoretical Insights
- GroundingBooth: Grounding Text-to-Image Customization
- Anytime Continual Learning for Open Vocabulary Classification
- AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
- Apollo: Band-sequence Modeling for High-Quality Audio Restoration
- CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
- Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
- Identifying Human Indoor Daily Life Behavior employing Thermal Sensor Arrays (TSAs)
- PSTNet: Enhanced Polyp Segmentation with Multi-scale Alignment and Frequency Domain Integration
- WheelPoser: Sparse-IMU Based Body Pose Estimation for Wheelchair Users
- A BERT-Based Summarization approach for depression detection
- USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s
- RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision
- Rethinking Meta-Learning from a Learning Lens
- An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems
- Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
- Explaining Datasets in Words: Statistical Models with Natural Language Parameters
- VistaFormer: Scalable Vision Transformers for Satellite Image Time Series Segmentation
- Inter Observer Variability Assessment through Ordered Weighted Belief Divergence Measure in MAGDM Application to the Ensemble Classifier Feature Fusion
- An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
- Towards Unified Facial Action Unit Recognition Framework by Large Language Models
- CF-PRNet: Coarse-to-Fine Prototype Refining Network for Point Cloud Completion and Reconstruction
- Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
- When Context Leads but Parametric Memory Follows in Large Language Models
- Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information