Papers
Mon 3 Jul 2023
201 papers
- Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning ApproachEnd-to-end autonomous driving → Reinforcement learning for driving
- Squeezing Large-Scale Diffusion Models for MobileDiffusion models → Diffusion foundations and sampling
- Learning Mixtures of Gaussians Using the DDPM ObjectiveDiffusion models → Diffusion foundations and sampling
- Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image SynthesisDiffusion models → Medical imaging and segmentation
- SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal InstructionsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Visual Instruction Tuning with Polite FlamingoMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Learning Differentiable Logic Programs for Abstract Visual ReasoningLLM reasoning → Multimodal reasoning
- CoPL: Contextual Prompt Learning for Vision-Language UnderstandingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language UnderstandingLLM reasoning → Multimodal reasoning
- Review helps learn better: Temporal Supervised Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- DifFSS: Diffusion Model for Few-Shot Semantic SegmentationDiffusion models → Medical imaging and segmentation
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly DetectionDiffusion models → Flow matching, time series and science
- JourneyDB: A Benchmark for Generative Image UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Efficient Visual Fault Detection for Freight Train Braking System via Heterogeneous Self Distillation in the WildKnowledge distillation → Detection and dense prediction distillation
- From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and PrivacyLLM safety and security → Prompt injection and agent security
- A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
- Translating scientific Latin texts with artificial intelligence: the works of Euler and contemporaries
- Human in the AI loop via xAI and Active Learning for Visual Inspection
- Using BOLD-fMRI to Compute the Respiration Volume per Time (RTV) and Respiration Variation (RV) with Convolutional Neural Networks (CNN) in the Human Connectome Development Cohort
- Classification of sleep stages from EEG, EOG and EMG signals by SSNet
- Origami Single-end Capacitive Sensing for Continuous Shape Estimation of Morphing Structures
- Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
- A physics-constrained machine learning method for mapping gapless land surface temperature
- A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
- Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification
- Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
- Learning Multi-Agent Communication with Contrastive Learning
- Multi-Task Learning Improves Performance In Deep Argument Mining Models
- Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II -- Clustering Extremely High-Dimensional Grid-Based Data
- In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes
- Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I -- Analysis with a Small Sample Size
- Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
- Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference
- ALBERTI, a Multilingual Domain Specific Language Model for Poetry Analysis
- Systematic Bias in Sample Inference and its Effect on Machine Learning
- Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
- Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation
- Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
- A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series
- Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation
- Efficient Determination of Safety Requirements for Perception Systems
- Multilingual Language Models are not Multicultural: A Case Study in Emotion
- Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach
- A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching
- Adaptive Principal Component Regression with Applications to Panel Data
- Learning Generic Solutions for Multiphase Transport in Porous Media via the Flux Functions Operator
- Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols
- Robust Uncertainty Estimation for Classification of Maritime Objects
- Semantic enrichment towards efficient speech representations
- Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly
- Self-Tuning PID Control via a Hybrid Actor-Critic-Based Neural Structure for Quadcopter Control
- Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems
- A numerical algorithm for attaining the Chebyshev bound in optimal learning
- Reliable AI: Does the Next Generation Require Quantum Computing?
- The Evolution of Substance Use Coverage in the Philadelphia Inquirer
- Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems
- Fighting the disagreement in Explainable Machine Learning with consensus
- Normalized mutual information is a biased measure for classification and community detection
- MWPRanker: An Expression Similarity Based Math Word Problem Retriever
- Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction
- Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification
- Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
- Internet of Things Fault Detection and Classification via Multitask Learning
- RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations
- Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data
- A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms
- Large Language and Text-to-3D Models for Engineering Design Optimization
- EmoGen: Eliminating Subjective Bias in Emotional Music Generation
- ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting
- vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
- Alert-ME: An Explainability-Driven Defense Against Adversarial Examples in Transformer-Based Text Classification
- INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced Classification
- ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning
- NeuBTF: Neural fields for BTF encoding and transfer
- Improved sampling via learned diffusions
- Segment Anything Meets Point Tracking
- Trainable Transformer in Transformer
- SAMAug: Point Prompt Augmentation for Segment Anything Model
- Fitting an ellipsoid to a quadratic number of random points
- PlanE: Representation Learning over Planar Graphs
- Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
- Quantum Neural Estimation of Entropies
- Online nearest neighbor classification
- Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm
- Don't freeze: Finetune encoders for better Self-Supervised HAR
- Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
- Improving Language Plasticity via Pretraining with Active Forgetting
- Soft Gripping: Specifying for Trustworthiness
- Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
- A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation
- AVSegFormer: Audio-Visual Segmentation with Transformer
- Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking
- ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience
- Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction
- Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images
- Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization
- MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes
- Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows
All 201
- Automated identification and quantification of myocardial inflammatory infiltration in digital histological images to diagnose myocarditis
- MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
- UW-ProCCaps: UnderWater Progressive Colourisation with Capsules
- Streamlined Lensed Quasar Identification in Multiband Images via Ensemble Networks
- Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data
- Some challenges of calibrating differentiable agent-based models
- Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities
- Analyzing Multiple-Choice Reading and Listening Comprehension Tests
- What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
- NeSS-ST: Detecting Good and Stable Keypoints with a Neural Stability Score and the Shi-Tomasi Detector
- Localized Questions in Medical Visual Question Answering
- PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening
- The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrograms
- ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning
- Transport meets Variational Inference: Controlled Monte Carlo Diffusions
- Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning
- Cross-modal Place Recognition in Image Databases using Event-based Sensors
- Vector Quantile Regression on Manifolds
- Temporal Graph Benchmark for Machine Learning on Temporal Graphs
- SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
- Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data
- Estimating Post-OCR Denoising Complexity on Numerical Texts
- CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement
- A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms
- Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach
- Pareto optimal proxy metrics
- RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
- Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning
- Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning
- Predicting beauty, liking, and aesthetic quality: A comparative analysis of image databases for visual aesthetics research
- Autism Spectrum Disorder Classification with Interpretability in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder
- Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions
- MoVie: Visual Model-Based Policy Adaptation for View Generalization
- REAL: A Representative Error-Driven Approach for Active Learning
- OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis
- Challenges in Domain-Specific Abstractive Summarization and How to Overcome them
- Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search
- HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection
- Towards Explainable AI for Channel Estimation in Wireless Communications
- OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
- Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
- Data-Driven Information Extraction and Enrichment of Molecular Profiling Data for Cancer Cell Lines
- A large calcium-imaging dataset reveals a systematic V4 organization for natural scenes
- Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution
- Semi-supervised multi-view concept decomposition
- Achieving Stable Training of Reinforcement Learning Agents in Bimodal Environments through Batch Learning
- Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews
- Why do CNNs excel at feature extraction? A mathematical explanation
- Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
- Enhancing the Robustness of QMIX against State-adversarial Attacks
- An open-source deep learning algorithm for efficient and fully-automatic analysis of the choroid in optical coherence tomography
- Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks
- Fixing confirmation bias in feature attribution methods via semantic match
- Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
- Mega-cities dominate China's urban greening
- Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation
- An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
- Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding
- Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
- Exploring the Multi-modal Demand Dynamics During Transport System Disruptions
- End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers
- MADS: Modulated Auto-Decoding SIREN for time series imputation
- Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting
- A Survey on Graph Classification and Link Prediction based on GNN
- Thompson Sampling under Bernoulli Rewards with Local Differential Privacy
- CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery
- Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding
- OpenSiteRec: An Open Dataset for Site Recommendation
- Review of Large Vision Models and Visual Prompt Engineering
- VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder
- VINECS: Video-based Neural Character Skinning
- Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain Shifts
- Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
- Engression: Extrapolation through the Lens of Distributional Regression
- Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
- Understanding the Transferability of Representations via Task-Relatedness
- Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views
- Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
- SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling
- Evaluating Shutdown Avoidance of Language Models in Textual Scenarios
- Monte Carlo Policy Gradient Method for Binary Optimization
- ContextSpeech: Expressive and Efficient Text-to-Speech for Paragraph Reading
- GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
- CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction
- Hierarchical Open-vocabulary Universal Image Segmentation
- Learning Degradation-Independent Representations for Camera ISP Pipelines
- Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages
- Structured Network Pruning by Measuring Filter-wise Interactions
- Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps
- Graph-level Anomaly Detection via Hierarchical Memory Networks
- Population Age Group Sensitivity for COVID-19 Infections with Deep Learning
- Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
- UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input
- Novelty and Lifted Helpful Actions in Generalized Planning
- On the choice of training data for machine learning of geostrophic mesoscale turbulence
- An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023
- LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion
- Neural Polytopes
- SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds
- Worth of knowledge in deep learning
- Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation