Papers
Tue 3 Sep 2024
269 papers
- You Only Use Reactive Attention Slice For Long Context RetrievalRetrieval-augmented generation → Generation and context integration
- Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical StudyRetrieval-augmented generation → RAG pipeline design and evaluation
- A Deep Reinforcement Learning Framework For Financial Portfolio ManagementDeep reinforcement learning methods → Adversarial robustness and RL in finance
- State and Action Factorization in Power GridsDeep reinforcement learning methods → RL for energy, networks and operations
- Here's Charlie! Realising the Semantic Web vision of Agents in the age of LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Safeguarding AI Agents: Developing and Analyzing Safety ArchitecturesLLM agents and tool use → Agent threats, guardrails and governance
- Multi-Modal Adapter for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation ModelDiffusion models → Flow matching, time series and science
- QID2: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI DataDiffusion models → Medical imaging and segmentation
- Evaluation and Comparison of Visual Language Models for Transportation Engineering ProblemsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical ApplicationsDeep reinforcement learning methods → RL for robot navigation and UAV control
- MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion DistillationDiffusion models → Audio, speech and music
- SmileyLlama: Modifying Large Language Models for Directed Chemical Space ExplorationLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
- Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- LinFusion: 1 GPU, 1 Minute, 16K ImageDiffusion models → Video generation
- GraspSplats: Efficient Manipulation with 3D Feature SplattingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- OLMoE: Open Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
- Enhancing Code-Switching Speech Recognition with LID-Based Collaborative Mixture of Experts ModelMixture-of-experts → Multimodal MoE models
- ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View SynthesisDiffusion models → 3D, point cloud and scene generation
- Efficient Point Cloud Classification via Offline Distillation Framework and Negative-Weight Self-Distillation TechniqueKnowledge distillation → Detection and dense prediction distillation
- PMT-MAE: Dual-Branch Self-Supervised Learning with Distillation for Efficient Point Cloud ClassificationKnowledge distillation → Detection and dense prediction distillation
- Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural BackdoorLLM safety and security → Backdoor and data poisoning attacks
- Map-Assisted Remote-Sensing Image Compression at Extremely Low BitratesDiffusion models → Inverse problems and image restoration
- From Grounding to Planning: Benchmarking Bottlenecks in Web AgentsLLM agents and tool use → Web, search, and research agents
- Focus Agent: LLM-Powered Virtual Focus GroupLLM agents and tool use → General LLM agent frameworks and benchmarks
- What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesLLM reasoning → Knowledge- and tool-augmented reasoning
- Boosting Vision-Language Models for Histopathology Classification: Predict all at onceMultimodal LLMs / vision-language models → Medical vision-language models
- CyberHost: Taming Audio-driven Avatar Diffusion Model with Region Codebook AttentionDiffusion models → Audio, speech and music
- The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines?Retrieval-augmented generation → RAG pipeline design and evaluation
- AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation ExtractionLLM agents and tool use → Web, search, and research agents
- Towards Generative Class Prompt Learning for Fine-grained Visual RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood PerspectiveMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image FusionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Adaptive Explicit Knowledge Transfer for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution ReasoningLLM reasoning → Multimodal reasoning
- In Defense of RAG in the Era of Long-Context Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic ManipulationLLM reasoning → Spatial and embodied reasoning
- BEVNav: Robot Autonomous Navigation Via Spatial-Temporal Contrastive Learning in Bird's-Eye ViewDeep reinforcement learning methods → RL for robot navigation and UAV control
- Dynamic Guidance Adversarial Distillation with Enhanced Teacher KnowledgeKnowledge distillation → Federated, robust and private distillation
- Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG)Mechanistic interpretability → Interpreting vision and multimodal models
- Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Generation and context integration +1
- EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart UnderstandingSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- An Implementation of Werewolf Agent That does not Truly Trust LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling RatesDiffusion models → Medical imaging and segmentation
- Blocks as Probes: Dissecting Categorization Ability of Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Agentic Copyright Watermarking against Adversarial Evidence Forgery with Purification-Agnostic Curriculum Proxy LearningLLM safety and security → Watermarking generated content and models
- S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical ReasonersLLM reasoning → Test-time compute and efficient thinking
- PixelBytes: Catching Unified Embedding for Multimodal Generation
- Broadening Access to Simulations for End-Users via Large Language Models: Challenges and Opportunities
- The Computational Mechanisms of Detached Mindfulness
- The NGT200 Dataset: Geometric Multi-View Isolated Sign Recognition
- Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
- Space evaluation based on pitch control using drone video in Ultimate
- Deep Learning Techniques for Atmospheric Turbulence Removal: A Review
- A New People-Object Interaction Dataset and NVS Benchmarks
- Can we only use guideline instead of shot in prompt?
- Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
- Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges
- The Era of Foundation Models in Medical Imaging is Approaching : A Scoping Review of the Clinical Value of Large-Scale Generative AI Applications in Radiology
- Effects of Common Regularization Techniques on Open-Set Recognition
- LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata
- Three Pillars Towards Next-Generation Routing System
- AIvril: AI-Driven RTL Generation With Verification In-The-Loop
- Convolutional Networks as Extremely Small Foundation Models: Visual Prompting and Theoretical Perspective
- Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
- FORS-EMG: A Novel sEMG Dataset for Hand Gesture Recognition Across Multiple Forearm Orientations
- VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis
- Intensional FOL: Many-Sorted Extension
- Leveraging Large Language Models for Solving Rare MIP Challenges
- Applications and Advances of Artificial Intelligence in Music Generation:A Review
- Clustering of Indonesian and Western Gamelan Orchestras through Machine Learning of Performance Parameters
- Managing multiple agents by automatically adjusting incentives
- Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features
- Visually Grounded Speech Models for Low-resource Languages and Cognitive Modelling
- Approximating mutual information of high-dimensional variables using learned representations
- Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?
- Coaching a Robotic Sonographer: Learning Robotic Ultrasound with Sparse Expert's Feedback
- What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
- YoloTag: Vision-based Robust UAV Navigation with Fiducial Markers
- Double Machine Learning at Scale to Predict Causal Impact of Customer Actions
- Generative Principal Component Regression via Variational Inference
- Arctic-SnowCoder: Demystifying High-Quality Data in Code Pretraining
- Visual Servoing for Robotic On-Orbit Servicing: A Survey
- On the Benefits of Memory for Modeling Time-Dependent PDEs
- Geometry-Aware Feature Matching for Large-Scale Structure from Motion
- A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia
- Speech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024
- Initial Development and Evaluation of the Creative Artificial Intelligence through Recurring Developments and Determinations (CAIRDD) System
- Unsupervised Welding Defect Detection Using Audio And Video
- Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow
- K-Origins: Better Colour Quantification for Neural Networks
- ADHD diagnosis based on action characteristics recorded in videos using machine learning
- LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement
- Action-Based ADHD Diagnosis in Video
All 269
- Optimal L-Systems for Stochastic L-system Inference Problems
- NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise
- Multi-Agent Reinforcement Learning for Joint Police Patrol and Dispatch
- Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions
- A Novel Audio-Visual Information Fusion System for Mental Disorders Detection
- What Makes a Face Look like a Hat: Decoupling Low-level and High-level Visual Properties with Image Triplets
- Temporal Order Preserved Optimal Transport-based Cross-modal Knowledge Transfer Learning for ASR
- Unforgettable Generalization in Language Models
- EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision
- A+AI: Threats to Society, Remedies, and Governance
- Collaboratively Learning Federated Models from Noisy Decentralized Data
- COmoving Computer Acceleration (COCA): N-body simulations in an emulated frame of reference
- Fair Railway Network Design
- Hazardous Asteroids Classification
- Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes
- Optimal Power Grid Operations with Foundation Models
- Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network
- A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction
- Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era
- DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction
- On a heuristic approach to the description of consciousness as a hypercomplex system state and the possibility of machine consciousness (German edition)
- DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
- Physical Rule-Guided Convolutional Neural Network
- Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates
- Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text
- LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
- RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer
- Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction
- A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
- Robust Clustering on High-Dimensional Data with Stochastic Quantization
- Your Data, My Model: Learning Who Really Helps in Federated Learning
- F2former: When Fractional Fourier Meets Deep Wiener Deconvolution and Selective Frequency Transformer for Image Deblurring
- Robust Fourier Neural Networks
- Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation
- Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis
- AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions
- FedMinds: Privacy-Preserving Personalized Brain Visual Decoding
- BEAVER: An Enterprise Benchmark for Text-to-SQL
- A Modern Take on Visual Relationship Reasoning for Grasp Planning
- Foundations of Large Language Model Compression -- Part 1: Weight Quantization
- TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation
- AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
- Deep learning for objective estimation of Parkinsonian tremor severity
- When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospects
- Robust Fitting on a Gate Quantum Computer
- SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained Environments
- vec2wav 2.0: Advancing Voice Conversion via Discrete Token Vocoders
- QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems
- Designing Large Foundation Models for Efficient Training and Inference: A Survey
- Improving Electrolyte Performance for Target Cathode Loading Using Interpretable Data-Driven Approach
- UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
- Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
- Application of Langevin Dynamics to Advance the Quantum Natural Gradient Optimization Algorithm
- Counterfactual Fairness by Combining Factual and Counterfactual Predictions
- Attention vs LSTM: Improving Word-level BISINDO Recognition
- Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
- Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments
- Learning Machines: In Search of a Concept Oriented Language
- MetaFood3D: 3D Food Dataset with Nutrition Values
- FuzzCoder: Byte-level Fuzzing Test via Large Language Model
- Towards Leveraging Large Language Models for Automated Medical Q&A Evaluation
- Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
- Modeling IoT Traffic Patterns: Insights from a Statistical Analysis of an MTC Dataset
- On the design space between molecular mechanics and machine learning force fields
- Efficient LLM Context Distillation
- Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
- GradINN: Gradient Informed Neural Network
- LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
- Bayesian CART models for aggregate claim modeling
- A randomized simulation trial evaluating ABiMed, a clinical decision support system for medication reviews and polypharmacy management
- 3D-LEX v1.0: 3D Lexicons for American Sign Language and Sign Language of the Netherlands
- PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems
- A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
- Activity-Guided Industrial Anomalous Sound Detection against Interferences
- Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis
- SPiKE: 3D Human Pose from Point Cloud Sequences
- Latent Distillation for Continual Object Detection at the Edge
- Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach
- Feature-Based Interpretable Surrogates for Optimization
- Robust Second-order LiDAR Bundle Adjustment Algorithm Using Mean Squared Group Metric
- Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
- Deep non-parametric logistic model with case-control data and external summary information
- AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture
- GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection
- Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework
- Segmenting Object Affordances: Reproducibility and Sensitivity to Scale
- Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR Systems
- Dialogue You Can Trust: Human and AI Perspectives on Generated Conversations
- EPRecon: An Efficient Framework for Real-Time Panoptic 3D Reconstruction from Monocular Video
- LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning
- Estimating Joint Interventional Distributions from Marginal Interventional Data
- Task Weighting through Gradient Projection for Multitask Learning
- Training on the Benchmark Is Not All You Need
- LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
- UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching
- Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images
- State-of-the-art Advances of Deep-learning Linguistic Steganalysis Research
- Gradient events: improved acquisition of visual information in event cameras
- FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
- Decoding finger velocity from cortical spike trains with recurrent spiking neural networks
- PRoGS: Progressive Rendering of Gaussian Splats
- Empirical evidence of Large Language Model's influence on human spoken communication
- Surface Flux Transport Modeling using Physics Informed Neural Networks
- Stacked ensemble-based mutagenicity prediction model using multiple modalities with graph attention network
- Federated Prediction-Powered Inference from Decentralized Data
- Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
- 4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole
- Interpreting Outliers in Time Series Data through Decoding Autoencoder
- Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression
- General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
- On the Vulnerability of Skip Connections to Model Inversion Attacks
- USTC-KXDIGIT System Description for ASVspoof5 Challenge
- When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
- Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits
- Differentially Private Kernel Density Estimation
- A sparse PAC-Bayesian approach for high-dimensional quantile prediction
- Frequency-Spatial Entanglement Learning for Camouflaged Object Detection
- Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database
- Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring
- Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
- Pureformer-VC: Non-parallel One-Shot Voice Conversion with Pure Transformer Blocks and Triplet Discriminative Training
- Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation
- S2NeRF: Privacy-preserving Training Framework for NeRF
- Interpreting and Improving Large Language Models in Arithmetic Calculation
- From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
- Graphons of Line Graphs
- Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement
- PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications
- SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification
- SafeEmbodAI: a Safety Framework for Mobile Robots in Embodied AI Systems
- CTG-KrEW: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word Embedding
- AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
- T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning
- On-chain Validation of Tracking Data Messages (TDM) Using Distributed Deep Learning on a Proof of Stake (PoS) Blockchain
- Lexicographic optimization-based approaches to learning a representative model for multi-criteria sorting with non-monotonic criteria
- EDCSSM: Edge Detection with Convolutional State Space Model
- Data-driven topology design based on principal component analysis for 3D structural design problems
- Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information
- DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection
- Synthesizing Late-Stage Contrast Enhancement in Breast MRI: A Comprehensive Pipeline Leveraging Temporal Contrast Enhancement Dynamics
- DiVE: DiT-based Video Generation with Enhanced Control
- Learning out-of-time-ordered correlators with classical kernel methods
- Dynamic Motion Synthesis: Masked Audio-Text Conditioned Spatio-Temporal Transformers
- Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
- Buffer-based Gradient Projection for Continual Federated Learning
- GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting
- Policy Gradients for Optimal Parallel Tempering MCMC
- Improving Apple Object Detection with Occlusion-Enhanced Distillation
- LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation
- Smoothed Robust Phase Retrieval
- Quantifying Emergence in Neural Networks: Insights from Pruning and Training Dynamics
- ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
- TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video
- Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture
- EA-RAS: Towards Efficient and Accurate End-to-End Reconstruction of Anatomical Skeleton
- VoxHakka: A Dialectally Diverse Multi-speaker Text-to-Speech System for Taiwanese Hakka
- The R package psvmSDR: A Unified Algorithm for Sufficient Dimension Reduction via Principal Machines
- Effective Noise-aware Data Simulation for Domain-adaptive Speech Enhancement Leveraging Dynamic Stochastic Perturbation
- Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
- Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions
- It is Time to Develop an Auditing Framework to Promote Value Aware Chatbots
- Cross-domain Multi-step Thinking: Zero-shot Fine-grained Traffic Sign Recognition in the Wild
- Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations
- On the Design Space Between Transformers and Recursive Neural Nets
- Machine learning approach for vibronically renormalized electronic band structures
- Lagrangian Motion Fields for Long-term Motion Generation
- Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height
- From Data to Insights: A Covariate Analysis of the IARPA BRIAR Dataset for Multimodal Biometric Recognition Algorithms at Altitude and Range
- Less is more: concatenating videos for Sign Language Translation from a small set of signs