Papers
Mon 20 Nov 2023
244 papers
- Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving CarsEnd-to-end autonomous driving → Reinforcement learning for driving
- Ontological Reasoning over Shy and Warded Datalog+/- for Streaming-based Architectures (technical report)LLM reasoning → Test-time compute and efficient thinking
- NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Applications of Large Scale Foundation Models for Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
- Concept Sliders: LoRA Adaptors for Precise Control in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud GenerationDiffusion models → 3D, point cloud and scene generation
- Pyramid Diffusion for Fine 3D Large Scene GenerationDiffusion models → 3D, point cloud and scene generation
- FreeKD: Knowledge Distillation via Semantic Frequency PromptKnowledge distillation → General knowledge distillation methods
- Fast Controllable Diffusion Models for Undersampled MRI ReconstructionDiffusion models → Medical imaging and segmentation
- BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive LearningLLM safety and security → Backdoor and data poisoning attacks
- GPT-4V(ision) for Robotics: Multimodal Task Planning from Human DemonstrationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Multi-Agent Strategy Explanations for Human-Robot CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual DescriptionsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- LION : Empowering Multimodal Large Language Model with Dual-Level Visual KnowledgeMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Evil Geniuses: Delving into the Safety of LLM-based AgentsLLM agents and tool use → Agent threats, guardrails and governance
- DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language AgentsLLM reasoning → Prompting and chain-of-thought reasoning +1
- Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI SystemsLLM safety and security → Backdoor and data poisoning attacks
- MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric RepresentationsWorld models → World models for autonomous driving +1
- Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPsKnowledge distillation → Graph neural network distillation
- Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion ModelDiffusion models → Inverse problems and image restoration
- Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Deep Equilibrium Diffusion Restoration with Parallel SamplingDiffusion models → Inverse problems and image restoration
- Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask QuestionsLLM reasoning → Multimodal reasoning
- Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- InfiMM-Eval: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context LearningRetrieval-augmented generation → Generation and context integration
- Assessing Prompt Injection Risks in 200+ Custom GPTsLLM safety and security → Prompt injection and agent security
- Multi-teacher Distillation for Multilingual Spelling CorrectionKnowledge distillation → Knowledge distillation for LLMs
- Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual InformationLLM safety and security → Jailbreaking
- What's left can't be right -- The remaining positional incompetence of contrastive vision-language modelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Alpha-wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems
- An annotated grain kernel image database for visual quality inspection
- NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation
- Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance
- A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection
- hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications
- Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning
- Evolutionary Machine Learning and Games
- Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce
- Coarse-Grained Configurational Polymer Fingerprints for Property Prediction using Machine Learning
- MemoryCompanion: A Smart Healthcare Solution to Empower Efficient Alzheimer's Care Via Unleashing Generative AI
- App for Resume-Based Job Matching with Speech Interviews and Grammar Analysis: A Review
- Optimal strategies to perform multilingual analysis of social content for a novel dataset in the tourism domain
- Identifying percolation phase transitions with unsupervised learning based on largest clusters
- Identifying DNA Sequence Motifs Using Deep Learning
- Weak-Form Latent Space Dynamics Identification
- MiniAnDE: a reduced AnDE ensemble to deal with microarray data
- Adaptive Bayesian Learning with Action and State-Dependent Signal Variance
- Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification
- SpecHD: Hyperdimensional Computing Framework for FPGA-based Mass Spectrometry Clustering
- Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
- InteraSSort: Interactive Assortment Planning Using Large Language Models
- Improvements in Interlayer Pipelining of CNN Accelerators Using Genetic Algorithms
- Unifying Corroborative and Contributive Attributions in Large Language Models
- Data-Guided Regulator for Adaptive Nonlinear Control
- HandSight: DeCAF & Improved Fisher Vectors to Classify Clothing Color and Texture with a Finger-Mounted Camera
- Fast Inner-Product Algorithms and Architectures for Deep Neural Network Accelerators
- Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication
- Random Fourier Signature Features
- Defense semantics of argumentation: revisit
- Nepotistically Trained Generative-AI Models Collapse
- Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation
- PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
- DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
- Disentangling Structure and Appearance in ViT Feature Space
- ChatGPT and post-test probability
- Common (good) practices measuring trust in HRI
- Leveraging Closed-Access Multilingual Embedding for Automatic Sentence Alignment in Low Resource Languages
- LABELMAKER: Automatic Semantic Label Generation from RGB-D Trajectories
- Node Classification in Random Trees
- Creating Temporally Correlated High-Resolution Profiles of Load Injection Using Constrained Generative Adversarial Networks
- Quantum Inception Score
- ChemScraper: Leveraging PDF Graphics Instructions for Molecular Diagram Parsing
- Conditional Modeling Based Automatic Video Summarization
- Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions
- User-Like Bots for Cognitive Automation: A Survey
- Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
- Teaching Robots to Build Simulations of Themselves
- Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney
- Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
- Mixing-Denoising Generalizable Occupancy Networks
- DAS: A Deformable Attention to Capture Salient Information in CNNs
- Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
- PhytNet -- Tailored Convolutional Neural Networks for Custom Botanical Data
- Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation
- ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
- PanBench: Towards High-Resolution and High-Performance Pansharpening
- Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging
- Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
- Balancing Efficiency and Quality: MoEISR for Arbitrary-Scale Image Super-Resolution
- Towards Few-shot Out-of-Distribution Detection
- Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
- PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
- LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- Steering Responsible AI: A Case for Algorithmic Pluralism
- Risk-averse Batch Active Inverse Reward Design
- BrainWash: A Poisoning Attack to Forget in Continual Learning
All 244
- Exploring Lip Segmentation Techniques in Computer Vision: A Comparative Analysis
- Machine-Learned Atomic Cluster Expansion Potentials for Fast and Quantum-Accurate Thermal Simulations of Wurtzite AlN
- Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs
- H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition
- Leveraging Previous Facial Action Units Knowledge for Emotion Recognition on Faces
- On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
- Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues
- Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting
- Adaptive Training Distributions with Scalable Online Bilevel Optimization
- LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
- SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks
- Automatic Analysis of Substantiation in Scientific Peer Reviews
- Provably Efficient CVaR RL in Low-rank MDPs
- What Can AutoML Do For Continual Learning?
- NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
- Correlated Attention in Transformers for Multivariate Time Series
- FinanceBench: A New Benchmark for Financial Question Answering
- Estimation of entropy-regularized optimal transport maps between non-compactly supported measures
- Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance
- Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks
- Certification of Distributional Individual Fairness
- Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few-Shot Learning
- Continual Learning: Applications and the Road Forward
- Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning
- Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
- Measuring and Mitigating Biases in Motor Insurance Pricing
- AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference
- SniffyArt: The Dataset of Smelling Persons
- Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
- Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
- Forward Gradients for Data-Driven CFD Wall Modeling
- Training robust and generalizable quantum models
- Towards Exploratory Reformulation of Constraint Models
- Analyzing Emissions and Energy Efficiency at Unsignalized Real-world Intersections Under Mixed Traffic Control
- VLM-Eval: A General Evaluation on Video Large Language Models
- GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding
- Establishing Central Sensitization Inventory Cut-off Values in patients with Chronic Low Back Pain by Unsupervised Machine Learning
- Generating Valid and Natural Adversarial Examples with Large Language Models
- FATURA: A Multi-Layout Invoice Image Dataset for Document Analysis and Understanding
- Asynchronous Bioplausible Neuron for SNN for Event Vision
- Deep learning complete intersection Calabi-Yau manifolds
- Deepparse : An Extendable, and Fine-Tunable State-Of-The-Art Library for Parsing Multinational Street Addresses
- Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
- Towards Human-Level Text Coding with LLMs: The Case of Fatherhood Roles in Public Policy Documents
- High Probability Guarantees for Random Reshuffling
- Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
- System 2 Attention (is something you might need too)
- Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning
- Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning
- Neural Graph Collaborative Filtering Using Variational Inference
- Zero redundancy distributed learning with differential privacy
- Cross-View Graph Consistency Learning for Invariant Graph Representations
- Generalized super-resolution 4D Flow MRI unicodex2013 using ensemble learning to extend across the cardiovascular system
- CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop Feedback
- Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule
- Improving Real Estate Appraisal with POI Integration and Areal Embedding
- Large Language Models and Explainable Law: a Hybrid Methodology
- LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector
- Robot Hand-Eye Calibration using Structure-from-Motion
- Age-Friendly Route Planner: Calculating Comfortable Routes for Senior Citizens
- Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods
- Approximate Linear Programming for Decentralized Policy Iteration in Cooperative Multi-agent Markov Decision Processes
- Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
- Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data
- Responsible AI Research Needs Impact Statements Too
- Intelligent methods for business rule processing: State-of-the-art
- Practical cross-sensor color constancy using a dual-mapping strategy
- Benchmarking Pathology Feature Extractors for Whole Slide Image Classification
- Non-Contact NIR PPG Sensing through Large Sequence Signal Regression
- LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis
- A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection
- AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems
- A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks
- ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
- Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain Images
- Leveraging Uncertainty Estimates To Improve Classifier Performance
- Sparse4D v3: Advancing End-to-End 3D Detection and Tracking
- Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning
- On the Importance of Large Objects in CNN Based Object Detection Algorithms
- Control in Hybrid Chatbots
- GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
- Cut-and-Paste: Subject-Driven Video Editing with Attention Control
- Sparse Low-rank Adaptation of Pre-trained Language Models
- Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement
- Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
- Towards Robust Text Retrieval with Progressive Learning
- Refactoring Programs Using Large Language Models with Few-Shot Examples
- Causal Structure Learning Supervised by Large Language Model
- Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
- SIAM: A Simple Alternating Mixer for Video Prediction
- PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification
- OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
- Enhanced Spatio-Temporal Context for Temporally Consistent Robust 3D Human Motion Recovery from Monocular Videos
- MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features
- Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images
- Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System
- Web News Timeline Generation with Extended Task Prompting
- Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data
- Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
- Unraveling the Control Engineer's Craft with Neural Networks
- Video Face Re-Aging: Toward Temporally Consistent Face Re-Aging
- Incorporating LLM Priors into Tabular Learners
- A novel transformer-based approach for soil temperature prediction
- Semantic-Preserved Point-based Human Avatar
- Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
- Machine learning-based malware detection for IoT devices using control-flow data
- CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement
- A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow
- Addressing the Length Bias Problem in Document-Level Neural Machine Translation
- Predicting urban tree cover from incomplete point labels and limited background information
- DesignGPT: Multi-Agent Collaboration in Design
- LDConv: Linear deformable convolution for improving convolutional neural networks
- How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction
- SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles
- A 3D Multi-Style Cross-Modality Segmentation Framework for Segmenting Vestibular Schwannoma and Cochlea
- Testing multivariate normality by testing independence
- Decoupled DETR For Few-shot Object Detection
- Does complimentary information from multispectral imaging improve face presentation attack detection?
- KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model
- A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations
- Replay-enhanced Continual Reinforcement Learning
- NePF: Neural Photon Field for Single-Stage Inverse Rendering
- Exploring Prompting Large Language Models as Explainable Metrics
- Unearthing Common Inconsistency for Generalisable Deepfake Detection
- Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT
- Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks
- Data-driven project planning: An integrated network learning and constraint relaxation approach in favor of scheduling
- A New Approach to Intuitionistic Fuzzy Decision Making Based on Projection Technology and Cosine Similarity Measure
- ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning
- Event Camera Data Dense Pre-training
- Fine-Tuning Adaptive Stochastic Optimizers: Determining the Optimal Hyperparameter ε via Gradient Magnitude Histogram Analysis
- Generalized Category Discovery in Semantic Segmentation
- Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm
- GPT in Data Science: A Practical Exploration of Model Selection
- Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition
- MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
- On the Relationship Between Interpretability and Explainability in Machine Learning
- An NMF-Based Building Block for Interpretable Neural Networks With Continual Learning
- A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records
- Meta Prompting for AI Systems
- Empowering remittance management in the digitised landscape: A real-time Data-Driven Decision Support with predictive abilities for financial transactions
- Gaussian Interpolation Flows
- CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection
- Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens