Papers
Mon 29 Apr 2024
248 papers
- Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language ModelMultimodal LLMs / vision-language models → Medical vision-language models
- Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAMMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Accelerating Production LLMs with Combined Token/Embedding SpeculatorsEfficient LLM inference and serving → Speculative decoding
- Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving ScenariosEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Reinforcement Learning Driven Cooperative Ball Balance in Rigidly Coupled DronesDeep reinforcement learning methods → RL for robot navigation and UAV control
- HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language ModelsLLM agents and tool use → Multimodal and embodied agents
- Plan of Thoughts: Heuristic-Guided Problem Solving with Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- A Framework for Real-time Safeguarding the Text Generation of Large Language ModelLLM safety and security → Safety alignment, refusal and guardrails
- Machine Unlearning for Document ClassificationLLM safety and security → Machine unlearning
- Markovian Transformers for Informative Language ModelingLLM reasoning → Prompting and chain-of-thought reasoning
- Can ChatGPT Make Explanatory Inferences? Benchmarks for Abductive ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- Hallucination of Multimodal Large Language Models: A SurveyMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Stylus: Automatic Adapter Selection for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- DPO Meets PPO: Reinforced Token Optimization for RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- TheaterGen: Character Management with LLM for Consistent Multi-turn Image GenerationDiffusion models → Image generation, text-to-image and editing
- Kangaroo: Lossless Self-Speculative Decoding via Double Early ExitingEfficient LLM inference and serving → Speculative decoding
- Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World ModelsWorld models → Embodied and robot world models +1
- RSCaMa: Remote Sensing Image Change Captioning with State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Learning general Gaussian mixtures with efficient score matchingDiffusion models → Diffusion foundations and sampling
- IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel RelationKnowledge distillation → Detection and dense prediction distillation
- A Survey on Diffusion Models for Time Series and Spatio-Temporal DataDiffusion models → Flow matching, time series and science
- More RLHF, More Trust? On The Impact of Preference Alignment On TrustworthinessLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning Mixtures of Gaussians Using Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Visual Mamba: A Survey and New OutlooksState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage StrategiesDeep reinforcement learning methods → RL for energy, networks and operations
- Towards Extreme Image Compression with Latent Feature Guidance and Diffusion PriorDiffusion models → Diffusion for compression and wireless
- Self-training superconducting neuromorphic circuits using reinforcement learning rulesDeep reinforcement learning methods → Spiking and neuromorphic RL
- Transitive Vision-Language Prompt Learning for Domain GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Task and Domain Adaptive Reinforcement Learning for Robot ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated OptimisationDiffusion models → Inverse problems and image restoration
- FlexiFilm: Long Video Generation with Flexible ConditionsDiffusion models → Video generation
- Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning AttacksLLM safety and security → Backdoor and data poisoning attacks
- Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Evaluating and Mitigating Linguistic Discrimination in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- MileBench: Benchmarking MLLMs in Long ContextMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation FrameworkMixture-of-experts → MoE for recommender systems
- MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving SimulationEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Ethical Reasoning and Moral Value Alignment of LLMs Depend on the Language we Prompt them inLLM reasoning → Reasoning benchmarks and evaluation
- U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical ModelsDiffusion models → Diffusion foundations and sampling
- Mixture-of-Instructions: Aligning Large Language Models via Mixture PromptingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Spectral-Spatial Mamba for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal InterventionsLLM reasoning → Spatial and embodied reasoning
- What is Reproducibility in Artificial Intelligence and Machine Learning Research?
- An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
- Policy Gradient-Driven Noise Mask
- DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization
- A cost minimization approach to fix the vocabulary size in a tokenizer for an End-to-End ASR system
- HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
- CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
- Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship
- Learning bridge numbers of knots
- PoPE: Legendre Orthogonal Polynomials Based Position Encoding for Large Language Models
- Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G
- Text and Audio Simplification: Human vs. ChatGPT
- 101 Billion Arabic Words Dataset
- GPT-4 passes most of the 297 written Polish Board Certification Examinations
- Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
- HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis
- Joint Signal Detection and Automatic Modulation Classification via Deep Learning
- EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
- LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
- Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity
- Landmark Alternating Diffusion
- What Drives Performance in Multilingual Language Models?
- Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks
- RTF: Region-based Table Filling Method for Relational Triple Extraction
- SAGS: Structure-Aware 3D Gaussian Splatting
- Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation
- Automated Construction of Theme-specific Knowledge Graphs
- Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
- Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
- Evaluating Deep Clustering Algorithms on Non-Categorical 3D CAD Models
- Integrating Present and Past in Unsupervised Continual Learning
- SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
- A model-free subdata selection method for classification
- Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
- Effects of Added Emphasis and Pause in Audio Delivery of Health Information
- Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
- Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
- Hidden Synergy: L1 Weight Normalization and 1-Path-Norm Regularization
- EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars
- The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset
- Real-Time Convolutional Neural Network-Based Star Detection and Centroiding Method for CubeSat Star Tracker
- Predicting Fairness of ML Software Configurations
- Catalyzing Social Interactions in Mixed Reality using ML Recommendation Systems
- In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
- Large Language Models as Conversational Movie Recommenders: A User Study
- Longitudinal Mammogram Risk Prediction
- Who Followed the Blueprint? Analyzing the Responses of U.S. Federal Agencies to the Blueprint for an AI Bill of Rights
- Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction
- Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data
- Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP
- Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers
- SuperCLUE-Fin: Graded Fine-Grained Analysis of Chinese LLMs on Diverse Financial Tasks and Applications
- Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery
- GSTalker: Real-time Audio-Driven Talking Face Generation via Deformable Gaussian Splatting
- Embedded Representation Learning Network for Animating Styled Video Portrait
- MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing
All 248
- Multi-Page Document Visual Question Answering using Self-Attention Scoring Mechanism
- Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions
- How Did We Get Here? Summarizing Conversation Dynamics
- Unifying Simulation and Inference with Normalizing Flows
- Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis
- Computational Job Market Analysis with Natural Language Processing
- Foundations of Multisensory Artificial Intelligence
- M3H: Multimodal Multitask Machine Learning for Healthcare
- Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking
- RE-GrievanceAssist: Enhancing Customer Experience through ML-Powered Complaint Management
- An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
- Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras
- Leak Proof CMap; a framework for training and evaluation of cell line agnostic L1000 similarity methods
- DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing
- Point Cloud Models Improve Visual Robustness in Robotic Learners
- Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing
- Holmes: A Benchmark to Assess the Linguistic Competence of Language Models
- Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
- Detecting critical treatment effect bias in small subgroups
- Hide and Seek: How Does Watermarking Impact Face Recognition?
- Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking
- Spivavtor: An Instruction Tuned Ukrainian Text Editing Model
- A Multilevel Strategy to Improve People Tracking in a Real-World Scenario
- OpenStreetView-5M: The Many Roads to Global Visual Geolocation
- Truth-value judgment in language models: 'truth directions' are context sensitive
- Performance-Aligned LLMs for Generating Fast Code
- A Comprehensive Rubric for Annotating Pathological Speech
- MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection
- FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition
- VISION: Toward a Standardized Process for Radiology Image Management at the National Level
- Fast Quantum Process Tomography via Riemannian Gradient Descent
- It's Difficult to be Neutral -- Human and LLM-based Sentiment Annotation of Patient Comments
- ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
- Harmonic Machine Learning Models are Robust
- Benchmarking Benchmark Leakage in Large Language Models
- Safe Reach Set Computation via Neural Barrier Certificates
- Unknown Script: Impact of Script on Cross-Lingual Transfer
- The Landscape of Unfolding with Machine Learning
- A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden
- Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
- Certification of Speaker Recognition Models to Additive Perturbations
- Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input
- Optimal time sampling in physics-informed neural networks
- A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
- Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
- Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
- PECC: Problem Extraction and Coding Challenges
- From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures
- Flow AM: Generating Point Cloud Global Explanations by Latent Alignment
- Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
- Survey on Datasets for Perception in Unstructured Outdoor Environments
- Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment
- Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification
- Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
- Tensor cumulants for statistical inference on invariant distributions
- Real Time Multi Organ Classification on Computed Tomography Images
- CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
- The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages
- Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library
- The Spatial Semantics of Iconic Gesture
- The Socface Project: Large-Scale Collection, Processing, and Analysis of a Century of French Censuses
- Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
- Dual-Modal Prompting for Sketch-Based Image Retrieval
- FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups
- Work Smarter...Not Harder: Efficient Minimization of Dependency Length in SOV Languages
- Open-Source Drift Detection Tools in Action: Insights from Two Use Cases
- Graph Convolutional Networks and Graph Attention Networks for Approximating Arguments Acceptability -- Technical Report
- Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
- Bootstrap-GS: Self-Supervised Augmentation for High-Fidelity Gaussian Splatting
- Leveraging PointNet and PointNet++ for Lyft Point Cloud Classification Challenge
- Reading Order Independent Metrics for Information Extraction in Handwritten Documents
- Terrain characterisation for online adaptability of automated sonar processing: Lessons learnt from operationally applying ATR to sidescan sonar in MCM applications
- Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
- Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
- Uncertainty-boosted Robust Video Activity Anticipation
- Reinforcement Learning Problem Solving with Large Language Models
- Feature importance to explain multimodal prediction models. A clinical use case
- 4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations
- Self-Avatar Animation in Virtual Reality: Impact of Motion Signals Artifacts on the Full-Body Pose Reconstruction
- Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
- CoSense3D: an Agent-based Efficient Learning Framework for Collective Perception
- The SAMER Arabic Text Simplification Corpus
- CSTalk: Correlation Supervised Speech-driven 3D Emotional Facial Animation Generation
- Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
- Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
- FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering
- Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images
- Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
- Learning Governing Equations of Unobserved States in Dynamical Systems
- Analyzing Semantic Change through Lexical Replacements
- LangBiTe: A Platform for Testing Bias in Large Language Models
- Can GPT-4 do L2 analytic assessment?
- Machine Learning for Quantum Computing Specialists
- Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
- SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods
- IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence
- Time Machine GPT
- Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
- Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
- Symmetry group based domain decomposition to enhance physics-informed neural networks for solving partial differential equations
- Time Series Data Augmentation as an Imbalanced Learning Problem
- Evaluating Readability and Faithfulness of Concept-based Explanations
- A Framework to Model ML Engineering Processes
- Solving Partial Differential Equations with Equivariant Extreme Learning Machines
- Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network
- Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning
- Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD
- On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
- From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services?
- A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition Models
- Explainability of machine learning approaches in forensic linguistics: a case study in geolinguistic authorship profiling
- Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
- Multisensor Data Fusion for Automatized Insect Monitoring (KInsecta)
- Reduced-Rank Multi-objective Policy Learning and Optimization
- ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction
- HFT: Half Fine-Tuning for Large Language Models
- Clicks2Line: Using Lines for Interactive Image Segmentation
- Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
- A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology
- 3D Gaussian Splatting with Deferred Reflection
- MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
- AI and the Dynamic Supply of Training Data
- BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
- Potential Paradigm Shift in Hazard Risk Management: AI-Based Weather Forecast for Tropical Cyclone Hazards
- nu-DBA: Neural Implicit Dense Bundle Adjustment Enables Image-Only Driving Scene Reconstruction
- ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal
- Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images
- OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics
- Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learning
- Capabilities of Gemini Models in Medicine
- Learning a Sparse Neural Network using IHT
- 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
- SeePerSea: Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles
- PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Images
- Deep generative modelling of canonical ensemble with differentiable thermal properties
- LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
- Semantic Line Combination Detector
- UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal Prompts
- ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images
- Reconstructing Satellites in 3D from Amateur Telescope Images
- Equivalence: An analysis of artists' roles with Image Generative AI from Conceptual Art perspective through an interactive installation design practice
- Object Registration in Neural Fields
- QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond
- Physics-informed Convolutional Neural Network for Microgrid Economic Dispatch
- FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
- How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models
- Post-hoc and manifold explanations analysis of facial expression data based on deep learning
- G-Refine: A General Quality Refiner for Text-to-Image Generation