Papers
Wed 13 Jul 2022
169 papers
- ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-SpeechDiffusion models → Audio, speech and music
- A Hybrid Approach on Conditional GAN for Portfolio Analysis
- Synthesis of Parametric Hybrid Automata from Time Series
- Visualizing Confidence Intervals for Critical Point Probabilities in 2D Scalar Field Ensembles
- Color Coding of Large Value Ranges Applied to Meteorological Data
- Unsupervised Hebbian Learning on Point Sets in StarCraft II
- Self-Explaining Deviations for Coordination
- Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing
- Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning
- PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool
- RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping
- O-Dang! The Ontology of Dangerous Speech Messages
- Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes
- A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots
- The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study
- On Curating Responsible and Representative Healthcare Video Recommendations for Patient Education and Health Literacy: An Augmented Intelligence Approach
- RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
- Learning Representations for CSI Adaptive Quantization and Feedback
- Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets
- Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning
- Scalable Model-based Policy Optimization for Decentralized Networked Systems
- Supervised Attribute Information Removal and Reconstruction for Image Manipulation
- QML for Argoverse 2 Motion Forecasting Challenge
- Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective
- Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
- Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games
- Lipschitz Continuity Retained Binary Neural Network
- Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning
- Reachability Analysis of a General Class of Neural Ordinary Differential Equations
- Estimating Classification Confidence Using Kernel Densities
- A Generalized Framework for Microstructural Optimization using Neural Networks
- One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
- Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
- Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing
- A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images
- Imaging through the Atmosphere using Turbulence Mitigation Transformer
- Quantum Metropolis Solver: A Quantum Walks Approach to Optimization Problems
- Graph Neural Network Bandits
- Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
- Wakeword Detection under Distribution Shifts
- Deep Learning Discovery of Demographic Biomarkers in Echocardiography
- Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-Resolution
- Collaborative Machine Learning-Driven Internet of Medical Things -- A Systematic Literature Review
- The Free Energy Principle for Perception and Action: A Deep Learning Perspective
- Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction
- MorphoActivation: Generalizing ReLU activation function by mathematical morphology
- RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
- Masked Autoencoders that Listen
- 3D Concept Grounding on Neural Fields
- PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
- River Surface Patch-wise Detector Using Mixture Augmentation for Scum-cover-index
- A General Framework for Partial to Full Image Registration
- N-Grammer: Augmenting Transformers with latent n-grams
- BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
- Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
- Smooth Anonymity for Sparse Graphs
- Shrinkage Estimation of Higher Order Bochner Integrals
- Contextual Decision Trees
- Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry
- You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution
- TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
- Efficient error and variance estimation for randomized matrix computations
- Learning robust marking policies for adaptive mesh refinement
- QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory
- 6D Camera Relocalization in Visually Ambiguous Extreme Environments
- Symmetry-Aware Transformer-based Mirror Detection
- Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography
- Non-Myopic Multifidelity Bayesian Optimization
- PointNorm: Dual Normalization is All You Need for Point Cloud Analysis
- Majorization-minimization for Sparse Nonnegative Matrix Factorization with the β-divergence
- Re2G: Retrieve, Rerank, Generate
- Reinforcement Learning Assisted Recursive QAOA
- Implicit Neural Representations for Generative Modeling of Living Cell Shapes
- DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment
- ACLNet: An Attention and Clustering-based Cloud Segmentation Network
- Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions
- Hindsight Learning for MDPs with Exogenous Inputs
- Policy Optimization with Sparse Global Contrastive Explanations
- Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach
- A Transfer Learning Based Model for Text Readability Assessment in German
- Organic Priors in Non-Rigid Structure from Motion
- Is Appearance Free Action Recognition Possible?
- Image warp preserving content intensity
- Context-Consistent Semantic Image Editing with Style-Preserved Modulation
- Normalized gradient flow optimization in the training of ReLU artificial neural networks
- SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision
- Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification
- Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
- Entry-Flipped Transformer for Inference and Prediction of Participant Behavior
- Beyond Hard Labels: Investigating data label distributions
- Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning
- YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy
- Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation
- Sample-dependent Adaptive Temperature Scaling for Improved Calibration
- Trans4Map: Revisiting Holistic Bird's-Eye-View Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers
- Adversarially-Aware Robust Object Detector
- Interactive Machine Learning: A State of the Art Review
- Domain adaptation strategies for cancer-independent detection of lymph node metastases
- Simulation-guided Beam Search for Neural Combinatorial Optimization
All 169
- Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration
- Multi-modal Depression Estimation based on Sub-attentional Fusion
- RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
- MRF-UNets: Searching UNet with Markov Random Fields
- Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
- A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth
- On the Robustness of Bayesian Neural Networks to Adversarial Attacks
- Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference
- A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
- Robust and accurate depth estimation by fusing LiDAR and Stereo
- Probing the Robustness of Independent Mechanism Analysis for Representation Learning
- Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks
- Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
- DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
- SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning
- Stability of Weighted Majority Voting under Estimated Weights
- Automatic Differentiation: Theory and Practice
- LiveSchema: A Gateway Towards Learning on Knowledge Graph Schemas
- GriddlyJS: A Web IDE for Reinforcement Learning
- Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
- Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling
- Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning
- On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG
- Eliminating Gradient Conflict in Reference-based Line-Art Colorization
- Semi-supervised Ranking for Object Image Blur Assessment
- Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning
- Efficient Augmentation for Imbalanced Deep Learning
- Teachers in concordance for pseudo-labeling of 3D sequential data
- MultiStream: A Simple and Fast Multiple Cameras Visual Monitor and Directly Streaming
- DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
- Pyramid Transformer for Traffic Sign Detection
- AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation
- Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras
- Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers
- Learning Deep Time-index Models for Time Series Forecasting
- Multiple Kernel Clustering with Dual Noise Minimization
- Perturbation Inactivation Based Adversarial Defense for Face Recognition
- Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations
- Contextual Active Model Selection
- High Per Parameter: A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms
- Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search
- URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles
- Visual Context-driven Audio Feature Enhancement for Robust End-to-End Audio-Visual Speech Recognition
- Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation
- The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings
- Does GNN Pretraining Help Molecular Representation?
- Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS
- A new database of Houma Alliance Book ancient handwritten characters and classifier fusion approach
- Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments
- DocPrompting: Generating Code by Retrieving the Docs
- Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
- Developing a Component Comment Extractor from Product Reviews on E-Commerce Sites
- Enhanced Security and Privacy via Fragmented Federated Learning
- Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation
- Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling
- Implicit regularization of dropout
- Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy
- A General Contextualized Rewriting Framework for Text Summarization
- Online Active Regression
- Game of Trojans: A Submodular Byzantine Approach
- Rapid Person Re-Identification via Sub-space Consistency Regularization
- Towards understanding how momentum improves generalization in deep learning
- Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models
- Texture-guided Saliency Distilling for Unsupervised Salient Object Detection
- Diverse Dance Synthesis via Keyframes with Transformer Controllers
- Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations
- Neural Topological Ordering for Computation Graphs
- D-CBRS: Accounting For Intra-Class Diversity in Continual Learning
- Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression