Papers
Tue 1 Oct 2024
294 papers
- AVID: Adapting Video Diffusion Models to World ModelsWorld models → Video-generation world models and simulators +1
- A transformer-based deep reinforcement learning approach to spatial navigation in a partially observable Morris Water MazeDeep reinforcement learning methods → RL for robot navigation and UAV control
- Rethinking Misalignment in Vision-Language Model Adaptation from a Causal PerspectiveLLM reasoning → Multimodal reasoning +1
- Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design PerspectiveRetrieval-augmented generation → RAG pipeline design and evaluation
- Duo-LLM: A Framework for Studying Adaptive Computation in Large Language ModelsMixture-of-experts → Expert routing strategies +1
- Beyond Scalar Reward Model: Learning Generative Judge from Preference DataLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical ValidationLLM reasoning → Clinical and biomedical applications
- LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI SystemLLM safety and security → Prompt injection and agent security
- Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision TransformersLLM safety and security → Backdoor and data poisoning attacks
- Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction RankOffline RL and imitation learning from data → Offline multi-agent RL
- FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical TasksMultimodal LLMs / vision-language models → Medical vision-language models
- Exploring Empty Spaces: Human-in-the-Loop Data AugmentationLLM safety and security → Machine unlearning
- From Natural Language to SQL: Review of LLM-based Text-to-SQL SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- RATIONALYST: Mining Implicit Rationales for Process Supervision of ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine SimilarityEfficient LLM inference and serving → Speculative decoding
- Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Robust Guided Diffusion for Offline Black-Box OptimizationDiffusion models → Diffusion foundations and sampling
- ScVLM: Enhancing Vision-Language Model for Safety-Critical Event UnderstandingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of ShardsMixture-of-experts → Mixture of LoRA experts
- Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View CurationDiffusion models → 3D, point cloud and scene generation
- Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning PerspectiveLLM safety and security → Backdoor and data poisoning attacks
- MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive PretrainingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Improved Sample Complexity of Imitation Learning for Barrier Model Predictive ControlOffline RL and imitation learning from data → Imitation learning methods
- Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysisRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Uncertainty-aware Reward Model: Teaching Reward Models to Know What is UnknownLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Diffusion-Informed Probabilistic Contact Search for Multi-Finger ManipulationDiffusion models → Diffusion and flow policies for robotics
- Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy GradingKnowledge distillation → Distillation for medical imaging
- Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement PrimitivesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model PromptingLLM reasoning → Reasoning for agents, planning and code
- Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionDiffusion models → Medical imaging and segmentation
- NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Contrastive Abstraction for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Multimodal Auto Validation For Self-Refinement in Web AgentsLLM agents and tool use → Web, search, and research agents
- Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology TranslationKnowledge distillation → Knowledge distillation for LLMs
- Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model PretrainingWorld models → Latent dynamics models and model-based RL +1
- AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code GenerationKnowledge distillation → Knowledge distillation for LLMs
- FlipGuard: Defending Preference Alignment against Update Regression with Constrained OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex ConditionsDeep reinforcement learning methods → RL for robot navigation and UAV control
- A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningLLM reasoning → Multimodal reasoning
- Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy IntegrationDeep reinforcement learning methods → RL with diffusion and flow models
- Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic GranularityMultimodal LLMs / vision-language models → Medical vision-language models
- Scene Graph Disentanglement and Composition for Generalizable Complex Image GenerationDiffusion models → Image generation, text-to-image and editing
- LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache ManagementEfficient LLM inference and serving → KV cache optimization
- Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image RestorationDiffusion models → Inverse problems and image restoration
- AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization PreferenceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- CusConcept: Customized Visual Concept Decomposition with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Find Everything: A General Vision Language Model Approach to Multi-Object SearchMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge UnlearningLLM safety and security → Machine unlearning
- AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic ManipulationLLM reasoning → Spatial and embodied reasoning
- Unleashing the Potentials of Likelihood Composition for Multi-modal Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIsDiffusion models → Diffusion and flow policies for robotics
- Vision Language Models Know Law of Conservation without Understanding More-or-LessMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Vision Language Models See What You Want but not What You SeeMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding OptimizationDiffusion models → Image generation, text-to-image and editing
- Probing Mechanical Reasoning in Large Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the WildMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Integrating Reasoning Systems for Trustworthy AI, Proceedings of the 4th Workshop on Logic and Practice of Programming (LPOP)
- TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications
- Optimization of Actuarial Neural Networks with Response Surface Methodology
- Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
- Deep Adversarial Learning with Activity-Based User Discrimination Task for Human Activity Recognition
- Restoring Super-High Resolution GPS Mobility Data
- Interactive Explainable Anomaly Detection for Industrial Settings
- Leveraging generative models to characterize the failure conditions of image classifiers
- ChatVTG: Video Temporal Grounding via Chat with Video Dialogue Large Language Models
- Decoding Emotions: Unveiling Facial Expressions through Acoustic Sensing with Contrastive Attention
- A Robust Multisource Remote Sensing Image Matching Method Utilizing Attention and Feature Enhancement Against Noise Interference
- M2M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need
- Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices
- Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
- Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches
- Recent Advances in Speech Language Models: A Survey
- SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
- Machine Learning Classification of Peaceful Countries: A Comparative Analysis and Dataset Optimization
- Khattat: Enhancing Readability and Concept Representation of Semantic Typography
- Distributed AI Platform for the 6G RAN
- Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
- Towards Democratization of Subspeciality Medical Expertise
- Grammar Induction from Visual, Speech and Text
- ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation
- Skill Issues: An Analysis of CS:GO Skill Rating Systems
- YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos
- Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach
- LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN
- Explainable Diagnosis Prediction through Neuro-Symbolic Integration
- A Novel Feature Extraction Model for the Detection of Plant Disease from Leaf Images in Low Computational Devices
- Recovering Time-Varying Networks From Single-Cell Data
- An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers
- Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition
- Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
- nGPT: Normalized Transformer with Representation Learning on the Hypersphere
- Synthetic imagery for fuzzy object detection: A comparative study
- Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
- Learning to Build by Building Your Own Instructions
All 294
- RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
- Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance
- Augmentation through Laundering Attacks for Audio Spoof Detection
- Statistical inference on black-box generative models in the data kernel perspective space
- Softmax is not Enough (for Sharp Size Generalisation)
- Approximately Aligned Decoding
- Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon
- Exploring Gen-AI applications in building research and industry: A review
- Mechanic Maker: Accessible Game Development Via Symbolic Learning Program Synthesis
- High-dimensional logistic regression with missing data: Imputation, regularization, and universality
- Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer
- Efficient and Private Marginal Reconstruction with Local Non-Negativity
- An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
- Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
- Concept Space Alignment in Multilingual LLMs
- Inferring Kernel ε-Machines: Discovering Structure in Complex Systems
- Generating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color Consistency
- Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
- Structure-Preserving Operator Learning
- Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability
- Pose Estimation of Buried Deep-Sea Objects using 3D Vision Deep Learning Models
- Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator
- ARPOV: Expanding Visualization of Object Detection in AR with Panoramic Mosaic Stitching
- Spherical Analysis of Learning Nonlinear Functionals
- From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls
- MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages
- Don't Stop Me Now: Embedding Based Scheduling for LLMs
- Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks
- Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images
- GPTreeO: An R package for continual regression with dividing local Gaussian processes
- A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio
- Investigating the Synergistic Effects of Dropout and Residual Connections on Language Model Training
- Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
- Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework
- Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
- Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation
- "Hiding in Plain Sight": Designing Synthetic Dialog Generation for Uncovering Socially Situated Norms
- CktGen: Automated Analog Circuit Design with Generative Artificial Intelligence
- Tight Rates for Bandit Control Beyond Quadratics
- Lipschitz-Driven Noise Robustness in VQ-AE for High-Frequency Texture Repair in ID-Specific Talking Heads
- Creative and Context-Aware Translation of East Asian Idioms with GPT-4
- TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
- Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
- Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset
- Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation
- Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging
- Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging
- Evaluation and Prognostic Validation of Deep Regression Models for WSI-Based Gene-Expression Prediction
- GAMMA-PD: Graph-based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson's Disease
- RisingBALLER: A player is a token, a match is a sentence, A path towards a foundational model for football players data analytics
- AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction
- Automatic Speech Recognition for the Ika Language
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
- Addition is All You Need for Energy-efficient Language Models
- Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
- Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments
- OSSA: Unsupervised One-Shot Style Adaptation
- The Gradient of Health Data Privacy
- GEMS: Generative Expert Metric System through Iterative Prompt Priming
- Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
- Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
- Do Music Generation Models Encode Music Theory?
- Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting
- On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation
- Timber! Poisoning Decision Trees
- Entropy contraction of the Gibbs sampler under log-concavity
- FastManly: An EM-Gradient Algorithm for Manly Mixture Models
- Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
- Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes
- Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method
- Squeeze-and-Remember Block
- VHASR: A Multimodal Speech Recognition System With Vision Hotwords
- Generative causal testing to bridge data-driven models and scientific theories in language neuroscience
- WiGNet: Windowed Vision Graph Neural Network
- Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks
- Decoding Hate: Exploring Language Models' Reactions to Hate Speech
- Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction
- BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data
- On the Generalization and Causal Explanation in Self-Supervised Learning
- Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
- DeepAerialMapper: Deep Learning-based Semi-automatic HD Map Creation for Highly Automated Vehicles
- Targeted synthetic data generation for tabular data via hardness characterization
- Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism
- Optimizing Token Usage on Large Language Model Conversations Using the Design Structure Matrix
- WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging
- VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
- Simplified priors for Object-Centric Learning
- "Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis
- LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments
- On the Geometry and Optimization of Polynomial Convolutional Networks
- Pseudo-Nonlinear Data Augmentation: A Constrained Energy Minimization Viewpoint
- RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
- BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI
- Hybrid Quantum Neural Network based Indoor User Localization using Cloud Quantum Computing
- A Low-Cost, High-Speed, and Robust Bin Picking System for Factory Automation Enabled by a Non-Stop, Multi-View, and Active Vision Scheme
- Investigating the Impact of Model Complexity in Large Language Models
- Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications
- Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
- Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models
- The Conformer Encoder May Reverse the Time Dimension
- GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer
- Graph-Based Representation Learning of Neuronal Dynamics and Behavior
- Stabilizing the Kumaraswamy Distribution
- Multimodal Coherent Explanation Generation of Robot Failures
- AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis
- Explainable Multi-Stakeholder Job Recommender Systems
- LASMP: Language Aided Subset Sampling Based Motion Planner
- LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
- Cross-Camera Data Association via GNN for Supervised Graph Clustering
- Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures
- An Illumination-Robust Feature Extractor Augmented by Relightable 3D Reconstruction
- Differentiable Interacting Multiple Model Particle Filtering
- Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization
- Detecci'on Autom'atica de Patolog'ias en Notas Cl'inicas en Espa~nol Combinando Modelos de Lenguaje y Ontolog'ias M'edicos
- Style-Specific Neurons for Steering LLMs in Text Style Transfer
- GERA: Geometric Embedding for Efficient Point Registration Analysis
- Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection
- Deep activity propagation via weight initialization in spiking neural networks
- STanH : Parametric Quantization for Variable Rate Learned Image Compression
- What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
- Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
- Differentially Private Active Learning: Balancing Effective Data Selection and Privacy
- Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
- The Causal Information Bottleneck and Optimal Causal Variable Abstractions
- TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
- Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents
- Deep Model Interpretation with Limited Data : A Coreset-based Approach
- Annotation Guidelines for Corpus Novelties: Part 2 -- Alias Resolution Version 1.0
- Design and Identification of Keypoint Patches in Unstructured Environments
- Exploring the Learning Capabilities of Language Models using LEVERWORLDS
- Human-Robot Collaborative Minimum Time Search through Sub-priors in Ant Colony Optimization
- Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networks
- Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing
- Pre-training with Synthetic Patterns for Audio
- Advancing RVFL networks: Robust classification with the HawkEye loss function
- Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
- Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration
- Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach
- Self-Updatable Large Language Models by Integrating Context into Model Parameters
- CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAM
- MCGM: Mask Conditional Text-to-Image Generative Model
- Stability analysis of chaotic systems in latent spaces
- Precise Workcell Sketching from Point Clouds Using an AR Toolbox
- ViDAS: Vision-based Danger Assessment and Scoring
- Probabilistic Analysis of Copyright Disputes and Generative AI Safety
- Uncertainty-aware t-distributed Stochastic Neighbor Embedding for Single-cell RNA-seq Data
- Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data
- Dynamic Planning for LLM-based Graphical User Interface Automation
- Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation
- UniAdapt: A Universal Adapter for Knowledge Calibration
- ReXplain: Translating Radiology into Patient-Friendly Video Reports
- Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations
- Incorporating Arbitrary Matrix Group Equivariance into KANs
- Scalable Multi-Task Transfer Learning for Molecular Property Prediction
- Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
- ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
- Are LLMs Aware that Some Questions are not Open-ended?
- Semantic Parsing with Candidate Expressions for Knowledge Base Question Answering
- TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction
- Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI
- ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
- Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals
- 3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation
- TikGuard: A Deep Learning Transformer-Based Solution for Detecting Unsuitable TikTok Content for Kids
- A Generalized Mean Approach for Distributed-PCA
- Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis
- Revisiting Essential and Nonessential Settings of Evidential Deep Learning
- Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance
- STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
- Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion
- GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction
- CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset
- Robust Traffic Forecasting against Spatial Shift over Years
- Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision
- ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
- Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare
- FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices
- PclGPT: A Large Language Model for Patronizing and Condescending Language Detection
- TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration
- Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness
- AARK: An Open Toolkit for Autonomous Racing Research
- Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study
- Hierarchical Organization Simulacra in the Investment Sector
- Revisiting the Role of Texture in 3D Person Re-identification
- A Taxonomy of Loss Functions for Stochastic Optimal Control
- Integrating Text-to-Music Models with Language Models: Composing Long Structured Music Pieces
- Sparse Attention Decomposition Applied to Circuit Tracing
- Preserving Generalization of Language models in Few-shot Continual Relation Extraction
- EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics
- PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
- EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control
- Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
- GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous Driving
- Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis