Papers
Wed 7 Sep 2022
165 papers
- Generative Adversarial Super-Resolution at the Edge with Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- K-VIL: Keypoints-based Visual Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Concept-modulated model-based offline reinforcement learning for rapid generalizationOffline RL and imitation learning from data → Imitation and offline RL for driving
- On the Effectiveness of Compact Biomedical TransformersKnowledge distillation → Knowledge distillation for LLMs
- The Ethical Need for Watermarks in Machine-Generated LanguageLLM safety and security → Watermarking generated content and models
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowDiffusion models → Flow matching, time series and science
- Improving the Cross-Lingual Generalisation in Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network
- Power of Explanations: Towards automatic debiasing in hate speech detection
- Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning
- Tackling problems, harvesting benefits -- A systematic review of the regulatory debate around AI
- Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach
- Hearts Gym: Learning Reinforcement Learning as a Team Event
- Modeling Dependent Structure for Utterances in ASR Evaluation
- Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries
- ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections
- Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
- Dimensionality Reduction using Elastic Measures
- Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
- Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions
- The Role Of Biology In Deep Learning
- A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface
- Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
- Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers
- SynSciPass: detecting appropriate uses of scientific text generation
- CGAN-ECT: Tomography Image Reconstruction from Electrical Capacitance Measurements Using CGANs
- Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
- Evaluating Temporal Patterns in Applied Infant Affect Recognition
- Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations
- On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning
- Peer to Peer Learning Platform Optimized With Machine Learning
- A simple approach for quantizing neural networks
- Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency
- Supervised GAN Watermarking for Intellectual Property Protection
- TAG: Learning Circuit Spatial Embedding From Layouts
- Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots
- Information Maximization for Extreme Pose Face Recognition
- AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles
- Seeking Interpretability and Explainability in Binary Activated Neural Networks
- Blessing of Class Diversity in Pre-training
- Deep Learning-Based Automatic Diagnosis System for Developmental Dysplasia of the Hip
- SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design
- Responsibility: An Example-based Explainable AI approach via Training Process Inspection
- Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation
- Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
- Causal discovery for time series with latent confounders
- Using Computational Approaches in Visual Identity Design: A Visual Identity for the Design and Multimedia Courses of Faculty of Sciences and Technology of University of Coimbra
- Bispectral Neural Networks
- A Survey of Neural Trees
- The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems
- Investigating Reasons for Disagreement in Natural Language Inference
- Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
- Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems
- AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting
- A Survey on Automated Diagnosis of Alzheimer's Disease Using Optical Coherence Tomography and Angiography
- Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation
- A hybrid Bayesian network for medical device risk assessment and management
- Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns
- Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection
- What does a platypus look like? Generating customized prompts for zero-shot image classification
- On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation
- Riemannian optimization for non-centered mixture of scaled Gaussian distributions
- Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?
- Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising
- Multimodal learning with graphs
- Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks
- Multimodal Speech Enhancement Using Burst Propagation
- Manifold Free Riemannian Optimization
- Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
- VulCurator: A Vulnerability-Fixing Commit Detector
- 3D Textured Shape Recovery with Learned Geometric Priors
- AutoPruner: Transformer-Based Call Graph Pruning
- Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs
- Dual Instrumental Method for Confounded Kernelized Bandits
- Reconstructing signed relations from interaction data
- INFACT: An Online Human Evaluation Framework for Conversational Recommendation
- Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter
- An Assessment Tool for Academic Research Managers in the Third World
- Efficient Implementation of Non-linear Flow Law Using Neural Network into the Abaqus Explicit FEM code
- Reactmine: a statistical search algorithm for inferring chemical reactions from time series data
- Morphology-preserving Autoregressive 3D Generative Modelling of the Brain
- On the utility and protection of optimization with differential privacy and classic regularization techniques
- Machine Learning Partners in Criminal Networks
- Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
- Machine Learning-based Automatic Annotation and Detection of COVID-19 Fake News
- AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation
- FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications
- A multiclass Q-NLP sentiment analysis experiment using DisCoCat
- AudioLM: a Language Modeling Approach to Audio Generation
- RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth
- MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network
- DM2S2: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention
- A Data-driven Reduced Order Modeling Approach Applied In Context Of Numerical Analysis And Optimization Of Plastic Profile Extrusion
- Non-Gaussian Process Regression
- A New Method for the High-Precision Assessment of Tumor Changes in Response to Treatment
- Inference and Learning for Generative Capsule Models
- Multitask Learning via Shared Features: Algorithms and Hardness
- Open-Ended Evolution for Minecraft Building Generation
- MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
- Modular Federated Learning
All 165
- Decoding Demographic un-fairness from Indian Names
- Autonomous Cooking with Digital Twin Methodology
- On the Equality of the ELBO to a Sum of Entropies at Stationary Points of Learning
- Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-19
- A learning theory for quantum photonic processors and beyond
- An Argumentation-Based Legal Reasoning Approach for DL-Ontology
- MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
- Physics-based Digital Twins for Autonomous Thermal Food Processing: Efficient, Non-intrusive Reduced-order Modeling
- Cerberus: Exploring Federated Prediction of Security Events
- Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit
- Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube
- Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images
- Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition
- Machine Learning Students Overfit to Overfitting
- Bayesian learning of feature spaces for multitasks problems
- SIRA: Relightable Avatars from a Single Image
- Ultra-low-power Range Error Mitigation for Ultra-wideband Precise Localization
- Text Growing on Leaf
- Zoom Text Detector
- Quantitative probing: Validating causal models using quantitative domain knowledge
- Biblio-Analysis of Cohort Intelligence (CI) Algorithm and its allied applications from Scopus and Web of Science Perspective
- Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering
- On the Transferability of Adversarial Examples between Encrypted Models
- Auto-TransRL: Autonomous Composition of Vision Pipelines for Robotic Perception
- Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action Recognition
- Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions
- VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene Graph
- YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
- Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech
- Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence
- That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory
- Risk of Bias in Chest Radiography Deep Learning Foundation Models
- Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation
- Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
- A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
- Semi-supervised Crowd Counting via Density Agency
- A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Platform
- BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
- Visual Transformer for Soil Classification
- On the Sparse DAG Structure Learning Based on Adaptive Lasso
- Can GAN-induced Attribute Manipulations Impact Face Recognition?
- Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
- Normalised clustering accuracy: An asymmetric external cluster validity measure
- Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System
- Facial De-morphing: Extracting Component Faces from a Single Morph
- Solving Elliptic Problems with Singular Sources using Singularity Splitting Deep Ritz Method
- Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual Explanation
- Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
- Optimal Sensor Placement in Body Surface Networks using Gaussian Processes
- Social Media Engagement and Cryptocurrency Performance
- Facilitating Global Team Meetings Between Language-Based Subgroups: When and How Can Machine Translation Help?
- A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment
- Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host Countries
- Defending Against Backdoor Attack on Graph Nerual Network by Explainability
- Magnitude-image based data-consistent deep learning method for MRI super resolution
- Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection
- Data-Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks
- KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot Systems
- Multi-Grained Angle Representation for Remote Sensing Object Detection
- Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
- SUNet: Scale-aware Unified Network for Panoptic Segmentation
- Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
- Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
- DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments
- On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs