Papers
Sun 17 Jul 2022
97 papers
- Unsupervised Medical Image Translation with Adversarial Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Can large language models reason about medical questions?LLM reasoning → Clinical and biomedical applications
- Threat Model-Agnostic Adversarial Defense using Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Subclass Knowledge Distillation with Known Subclass LabelsKnowledge distillation → General knowledge distillation methods
- Technology and Consciousness
- Introducing RISK
- Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty
- Context sequence theory: a common explanation for multiple types of learning
- Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging
- Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation
- Contextual Similarity is More Valuable than Character Similarity: An Empirical Study for Chinese Spell Checking
- Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection
- A Study of Deep CNN Model with Labeling Noise Based on Granular-ball Computing
- GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks
- Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection
- Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression
- CULT: Continual Unsupervised Learning with Typicality-Based Environment Detection
- Nonparametric regression with modified ReLU networks
- Effectiveness of French Language Models on Abstractive Dialogue Summarization Task
- HyperInvariances: Amortizing Invariance Learning
- Towards Programmable Memory Controller for Tensor Decomposition
- A Spoken Drug Prescription Dataset in French for Spoken Language Understanding
- An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods
- Task Allocation with Load Management in Multi-Agent Teams
- Certain and Uncertain Inference with Indicative Conditionals
- BIP: Boost Invariant Polynomials for Efficient Jet Tagging
- Online Lewis Weight Sampling
- Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
- MLP-GAN for Brain Vessel Image Segmentation
- Minimum Description Length Control
- Uniform Stability for First-Order Empirical Risk Minimization
- Representation Learning of Image Schema
- Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning
- A Context-Sensitive Word Embedding Approach for The Detection of Troll Tweets
- Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
- An Intelligent Deterministic Scheduling Method for Ultra-Low Latency Communication in Edge Enabled Industrial Internet of Things
- Teaching Qubits to Sing: Mission Impossible?
- Learning with Recoverable Forgetting
- Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches
- Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows
- RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
- A Simple Test-Time Method for Out-of-Distribution Detection
- Fast Composite Optimization and Statistical Recovery in Federated Learning
- INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions
- Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors
- SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
- BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
- Stroke-Based Autoencoders: Self-Supervised Learners for Efficient Zero-Shot Chinese Character Recognition
- Supplementing Recurrent Neural Networks with Annealing to Solve Combinatorial Optimization Problems
- Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR
- Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
- Zero-Shot Temporal Action Detection via Vision-Language Prompting
- Federated Continual Learning through distillation in pervasive computing
- Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain
- End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting
- Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
- SP2: A Second Order Stochastic Polyak Method
- Statistical model for describing heart rate variability in normal rhythm and atrial fibrillation
- Action-conditioned On-demand Motion Generation
- Natural language processing for clusterization of genes according to their functions
- Task-aware Similarity Learning for Event-triggered Time Series
- Automated Repair of Neural Networks
- FashionViL: Fashion-Focused Vision-and-Language Representation Learning
- Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
- Multi-Task and Transfer Learning for Federated Learning Applications
- Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation
- ELECTRA is a Zero-Shot Learner, Too
- 2D Self-Organized ONN Model For Handwritten Text Recognition
- Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game
- Editing Out-of-domain GAN Inversion via Differential Activations
- E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context
- Discover Life Skills for Planning with Bandits via Observing and Learning How the World Works
- Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment
- FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation
- BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
- United States Politicians' Tone Became More Negative with 2016 Primary Campaigns
- A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition
- Aspect-specific Context Modeling for Aspect-based Sentiment Analysis
- Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
- Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints
- Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
- Automatic Context Pattern Generation for Entity Set Expansion
- Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
- CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement
- Neural Color Operators for Sequential Image Retouching
- Performance degradation of ImageNet trained models by simple image transformations
- Toward Efficient Task Planning for Dual-Arm Tabletop Object Rearrangement
- Mean-field Variational Inference via Wasserstein Gradient Flow
- Effect of Instance Normalization on Fine-Grained Control for Sketch-Based Face Image Generation
- Detecting Humans in RGB-D Data with CNNs
- Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning
- SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
- Repairing Systematic Outliers by Learning Clean Subspaces in VAEs
- MDM: Multiple Dynamic Masks for Visual Explanation of Neural Networks
- DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
- Personalized PCA: Decoupling Shared and Unique Features
- Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients