Papers
Sat 5 Aug 2023
85 papers
- Generative Approach for Probabilistic Human Mesh Recovery using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationDiffusion models → Medical imaging and segmentation
- A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPTLLM reasoning → Reasoning benchmarks and evaluation
- dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- DiffDance: Cascaded Human Motion Diffusion Model for Dance GenerationDiffusion models → Audio, speech and music
- Sketch and Text Guided Diffusion Model for Colored Point Cloud GenerationDiffusion models → 3D, point cloud and scene generation
- Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Self-Distillation Prototypes Network: Learning Robust Speaker Representations without SupervisionKnowledge distillation → Speech and audio distillation
- Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling
- Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
- Flashlight Search Medial Axis: A Pixel-Free Pore-Network Extraction Algorithm
- Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review
- OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework
- WeldMon: A Cost-effective Ultrasonic Welding Machine Condition Monitoring System
- Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
- Textual Data Mining for Financial Fraud Detection: A Deep Learning Approach
- Robust estimation of exposure ratios in multi-exposure image stacks
- Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory
- Science and engineering for what? A large-scale analysis of students' projects in science fairs
- Data Fusion for Multi-Task Learning of Building Extraction and Height Estimation
- K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
- An Empirical Study of AI-based Smart Contract Creation
- Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network
- Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction
- MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction
- Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks
- Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry
- Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems
- Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval
- ConvFormer: Revisiting Transformer for Sequential User Modeling
- An AI-Enabled Framework to Defend Ingenious MDT-based Attacks on the Emerging Zero Touch Cellular Networks
- Structured Low-Rank Tensors for Generalized Linear Models
- Spectral Ranking Inferences based on General Multiway Comparisons
- Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery
- Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket
- Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy
- Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs
- FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework
- LaDA: Latent Dialogue Action For Zero-shot Cross-lingual Neural Network Language Modeling
- Edge of stability echo state networks
- Elucidate Gender Fairness in Singing Voice Transcription
- An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
- Physics-informed Gaussian process model for Euler-Bernoulli beam elements
- Secure Deep-JSCC Against Multiple Eavesdroppers
- Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation
- Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation
- Meta-learning in healthcare: A survey
- Data-Based Design of Multi-Model Inferential Sensors
- ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging
- Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy
- NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
- Improving Generalization of Image Captioning with Unsupervised Prompt Learning
- Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank
- Generative Adversarial Networks for Stain Normalisation in Histopathology
- Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
- Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis
- feather -- a Python SDK to share and deploy models
- Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks
- Physics-Based Task Generation through Causal Sequence of Physical Interactions
- A Comprehensive Analysis of Real-World Image Captioning and Scene Identification
- Multi-Agent Verification and Control with Probabilistic Model Checking
- SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garments
- A Symbolic Character-Aware Model for Solving Geometry Problems
- Reinforcement Learning for Financial Index Tracking
- An AI-driven Assessment of Bone Density as a Biomarker Leading to the Aging Law
- Deep Image Harmonization in Dual Color Spaces
- Artificial Intelligence for Molecular Communication
- A generative model for surrogates of spatial-temporal wildfire nowcasting
- MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method
- Thin On-Sensor Nanophotonic Array Cameras
- OBESEYE: Interpretable Diet Recommender for Obesity Management using Machine Learning and Explainable AI
- Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
- Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph
- Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
- Semi-supervised Contrastive Regression for Estimation of Eye Gaze
- A Voting-Stacking Ensemble of Inception Networks for Cervical Cytology Classification
- Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
- EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
- One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer
- Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control
- Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting
- Neural Collapse in the Intermediate Hidden Layers of Classification Neural Networks
- DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation
- DeDrift: Robust Similarity Search under Content Drift
- NeRFs: The Search for the Best 3D Representation