Papers
Fri 17 Mar 2023
190 papers
- On the De-duplication of LAION-2BDiffusion models → Diffusion foundations and sampling
- Can AI-Generated Text be Reliably Detected?LLM safety and security → Watermarking generated content and models
- Dynamic Update-to-Data Ratio: Minimizing World Model OverfittingWorld models → Latent dynamics models and model-based RL
- A Recipe for Watermarking Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Data-Centric Learning from Unlabeled Graphs with Diffusion ModelDiffusion models → Flow matching, time series and science
- Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and DetectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- GlueGen: Plug and Play Multi-modal Encoders for X-to-image GenerationDiffusion models → Image generation, text-to-image and editing
- Adversarial Counterfactual Visual ExplanationsDiffusion models → Diffusion foundations and sampling
- TeSLA: Test-Time Self-Learning With Automatic Adversarial AugmentationKnowledge distillation → Federated, robust and private distillation
- DiffusionRet: Generative Text-Video Retrieval with Diffusion ModelDiffusion models → Video generation
- Preventing Unauthorized AI Over-Analysis by Medical Image Adversarial WatermarkingLLM safety and security → Watermarking generated content and models
- FreeDoM: Training-Free Energy-Guided Conditional Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Prototype Knowledge Distillation for Medical Segmentation with Missing ModalityKnowledge distillation → Distillation for medical imaging
- Motion Planning for Autonomous Driving: The State of the Art and Future PerspectivesEnd-to-end autonomous driving → End-to-end system architecture
- DiffusionSeg: Adapting Diffusion Towards Unsupervised Object DiscoveryDiffusion models → Image generation, text-to-image and editing
- Denoising Diffusion Autoencoders are Unified Self-supervised LearnersDiffusion models → Diffusion foundations and sampling
- Video Action Recognition with Attentive Semantic UnitsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural ObfuscationLLM safety and security → Watermarking generated content and models
- Autonomic Architecture for Big Data Performance Optimization
- Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms
- Machine-Learned Premise Selection for Lean
- Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images
- XVoxel-Based Parametric Design Optimization of Feature Models
- OntoMathPRO 2.0 Ontology: Updates of the Formal Model
- Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision
- Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review
- Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
- Pedestrain detection for low-light vision proposal
- Diffusion-based Target Sampler for Unsupervised Domain Adaptation
- Non-convex approaches for low-rank tensor completion under tubal sampling
- Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders
- Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts
- HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals
- Explaining the Performance of Collaborative Filtering Methods With Optimal Data Characteristics
- Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
- Provably Convergent Subgraph-wise Sampling for Fast GNN Training
- Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
- Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence
- MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video
- On Trivalent Logics, Compound Conditionals, and Probabilistic Deduction Theorems
- Fixed Design Analysis of Regularization-Based Continual Learning
- Recent Developments in Machine Learning Methods for Stochastic Control and Games
- PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks
- Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
- Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks
- Conformal Generative Modeling on Triangulated Surfaces
- MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities
- Video shutter angle estimation using optical flow and linear blur
- LSwinSR: UAV Imagery Super-Resolution based on Linear Swin Transformer
- Conversational Tree Search: A New Hybrid Dialog Task
- Bridging Models to Defend: A Population-Based Strategy for Robust Adversarial Defense
- CerviFormer: A Pap-smear based cervical cancer classification method using cross attention and latent transformer
- A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS
- An Empirical Evaluation of Federated Contextual Bandit Algorithms
- Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features
- BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns
- SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration
- CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
- Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis
- Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning
- Unsupervised Domain Transfer with Conditional Invertible Neural Networks
- A machine learning and feature engineering approach for the prediction of the uncontrolled re-entry of space objects
- SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data
- Operating critical machine learning models in resource constrained regimes
- Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control
- QUBO-inspired Molecular Fingerprint for Chemical Property Prediction
- Generalized partitioned local depth
- Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
- Data-centric Artificial Intelligence: A Survey
- Toward Super-Resolution for Appearance-Based Gaze Estimation
- CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
- Spectrum-inspired Low-light Image Translation for Saliency Detection
- Hybrid Classic-Quantum Computing for Staging of Invasive Ductal Carcinoma of Breast
- Geometric Deep Learning for Molecular Crystal Structure Prediction
- Distill n' Explain: explaining graph neural networks using simple surrogates
- Generate, Transform, Answer: Question Specific Tool Synthesis for Tabular Data
- MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image
- Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning
- She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
- Direct and indirect evidence of compression of word lengths. Zipf's law of abbreviation revisited
- IRGen: Generative Modeling for Image Retrieval
- Clingraph: A System for ASP-based Visualization
- Causal Discovery from Temporal Data: An Overview and New Perspectives
- A multidomain relational framework to guide institutional AI research and adoption
- A Robustness Analysis of Blind Source Separation
- Image comparison and scaling via nonlinear elasticity
- Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
- Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting
- Neural Refinement for Absolute Pose Regression with Feature Synthesis
- Robust probabilistic inference via a constrained transport metric
- αSurf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity
- Fuzziness-tuned: Improving the Transferability of Adversarial Examples
- A Simple Framework for 3D Occupancy Estimation in Autonomous Driving
- DialogPaint: A Dialog-based Image Editing Model
- A Unified Continual Learning Framework with General Parameter-Efficient Tuning
- Deep Author Name Disambiguation using DBLP Data
- Confidence-aware 3D Gaze Estimation and Evaluation Metric
- No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
- Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET
All 190
- Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
- ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty
- A Policy Iteration Approach for Flock Motion Control
- Multi-modal Expression Recognition with Ensemble Method
- How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise?
- Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
- Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices
- TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving
- Neural-prior stochastic block model
- A Data-Driven Model-Reference Adaptive Control Approach Based on Reinforcement Learning
- LION: Implicit Vision Prompt Tuning
- Finding Competence Regions in Domain Generalization
- Star-Net: Improving Single Image Desnowing Model With More Efficient Connection and Diverse Feature Interaction
- Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning
- Towards AI-controlled FES-restoration of movements: Learning cycling stimulation pattern with reinforcement learning
- Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures
- Semantic Scene Completion with Cleaner Self
- MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
- Neighborhood Averaging for Improving Outlier Detectors
- Stochastic Submodular Maximization via Polynomial Estimators
- GNNFormer: A Graph-based Framework for Cytopathology Report Generation
- Single-view Neural Radiance Fields with Depth Teacher
- Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
- Towards a Foundation Model for Neural Network Wavefunctions
- An Adaptive Fuzzy Reinforcement Learning Cooperative Approach for the Autonomous Control of Flock Systems
- Leaping Into Memories: Space-Time Deep Feature Synthesis
- Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring
- Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
- Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs
- An evaluation framework for dimensionality reduction through sectional curvature
- Discovering mesoscopic descriptions of collective movement with neural stochastic modelling
- More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking
- mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection
- Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes
- On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
- A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
- Image Statistics Predict the Sensitivity of Perceptual Quality Metrics
- Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors
- Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness
- Trained on 100 million words and still in shape: BERT meets British National Corpus
- Dual-path Adaptation from Image to Video Transformers
- Exploiting Semantic Attributes for Transductive Zero-Shot Learning
- DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
- Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters
- GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories
- MODIFY: Model-driven Face Stylization without Style Images
- DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing
- Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
- LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution
- Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages
- Interpretable machine learning for time-to-event prediction in medicine and healthcare
- TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction
- Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields
- Adaptive Graph Convolution Module for Salient Object Detection
- GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates
- Style Transfer for 2D Talking Head Animation
- MMFace4D: A Large-Scale Multi-Modal 4D Face Dataset for Audio-Driven 3D Face Animation
- Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation
- Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
- Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
- Urban Regional Function Guided Traffic Flow Prediction
- ABAW : Facial Expression Recognition in the wild
- High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion
- Mpox-AISM: AI-Mediated Super Monitoring for Mpox and Like-Mpox
- Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
- SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
- Progressive Content-aware Coded Hyperspectral Compressive Imaging
- QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
- It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
- Diffusing the Optimal Topology: A Generative Optimization Approach
- Hierarchical Prior Mining for Non-local Multi-View Stereo
- Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
- CoLT5: Faster Long-Range Transformers with Conditional Computation
- Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing
- Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
- Dynamic Structure Pruning for Compressing CNNs
- SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution
- Scribble-Supervised RGB-T Salient Object Detection
- Exorcising ''Wraith'': Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks
- ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
- The Cascaded Forward Algorithm for Neural Network Training
- Learning towards Selective Data Augmentation for Dialogue Generation
- A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games
- Understanding why shooters shoot -- An AI-powered engine for basketball performance profiling
- CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos
- Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
- Batch Updating of a Posterior Tree Distribution over a Meta-Tree
- A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset
- Delayed and Indirect Impacts of Link Recommendations
- PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds