Papers
Tue 30 Aug 2022
143 papers
- Faithful Reasoning Using Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Towards Boosting the Open-Domain Chatbot with Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- FAKD: Feature Augmented Knowledge Distillation for Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- A Diffusion Model Predicts 3D Shapes from 2D Microscopy ImagesDiffusion models → Medical imaging and segmentation
- Advancing the cybersecurity of the healthcare system with self-optimising and self-adaptative artificial intelligence (part 2)
- Flexible Job Classification with Zero-Shot Learning
- A Closer Look at Weakly-Supervised Audio-Visual Source Localization
- Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design
- Selection of a representative sorting model in a preference disaggregation setting: a review of existing procedures, new proposals, and experimental comparison
- Robustness and invariance properties of image classifiers
- Inferring Implicit 3D Representations from Human Figures on Pictorial Maps
- Data Fusion in Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges
- A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors
- Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
- The Alignment Problem from a Deep Learning Perspective
- SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
- Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times
- Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes
- Graph Distance Neural Networks for Predicting Multiple Drug Interactions
- Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes
- Nonparametric and Online Change Detection in Multivariate Datastreams using QuantTree
- Truncated Matrix Power Iteration for Differentiable DAG Learning
- LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design
- Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
- To Adapt or to Fine-tune: A Case Study on Abstractive Summarization
- Augraphy: A Data Augmentation Library for Document Images
- Dynamic Global Sensitivity for Differentially Private Contextual Bandits
- Do language models make human-like predictions about the coreferents of Italian anaphoric zero pronouns?
- BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition
- TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos
- Embedding Functional Data: Multidimensional Scaling and Manifold Learning
- MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition
- Modeling Soft-Failure Evolution for Triggering Timely Repair with Low QoT Margins
- Lesion-Specific Prediction with Discriminator-Based Supervised Guided Attention Module Enabled GANs in Multiple Sclerosis
- System Resilience through Health Monitoring and Reconfiguration
- Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection
- Model-Based Reinforcement Learning with SINDy
- Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP
- Constraining Representations Yields Models That Know What They Don't Know
- Dual Representation Learning for One-Step Clustering of Multi-View Data
- A Learning-Based 3D EIT Image Reconstruction Method
- A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space
- You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms
- Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
- MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
- A Portable Multiscopic Camera for Novel View and Time Synthesis in Dynamic Scenes
- Correct-by-Construction Runtime Enforcement in AI -- A Survey
- Competition, Alignment, and Equilibria in Digital Marketplaces
- Fraud Dataset Benchmark and Applications
- Comparing Results of Thermographic Images Based Diagnosis for Breast Diseases
- An Analysis of Model-Based Reinforcement Learning From Abstracted Observations
- Verifiable Obstacle Detection
- Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
- Convergence Rates for Regularized Optimal Transport via Quantization
- k-MS: A novel clustering algorithm based on morphological reconstruction
- Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data
- Associative Learning for Network Embedding
- Automated recognition of the pericardium contour on processed CT images using genetic algorithms
- Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes
- SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes
- Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
- AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
- FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain
- Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning
- On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms
- WikiLink: an encyclopedia-based semantic network for design innovation
- MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks
- Analysis of Distributed Deep Learning in the Cloud
- Distributed Ensembles of Reinforcement Learning Agents for Electricity Control
- Denoising Architecture for Unsupervised Anomaly Detection in Time-Series
- Tree-based Subgroup Discovery In Electronic Health Records: Heterogeneity of Treatment Effects for DTG-containing Therapies
- GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning
- Learning Representations for Hyper-Relational Knowledge Graphs
- Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder
- Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods
- Modeling Volatility and Dependence of European Carbon and Energy Prices
- Beyond Supervised Continual Learning: a Review
- DLDNN: Deterministic Lateral Displacement Design Automation by Neural Networks
- A Black-Box Attack on Optical Character Recognition Systems
- PanorAMS: Automatic Annotation for Detecting Objects in Urban Context
- Coarse Retinal Lesion Annotations Refinement via Prototypical Learning
- 6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
- ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization
- Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
- Efficient and Interpretable Neural Models for Entity Tracking
- Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents
- Boosting Night-time Scene Parsing with Learnable Frequency
- Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting
- Prediction-based One-shot Dynamic Parking Pricing
- A Circular Window-based Cascade Transformer for Online Action Detection
- FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics
- ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
- Probing Contextual Diversity for Dense Out-of-Distribution Detection
- RAGUEL: Recourse-Aware Group Unfairness Elimination
- Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities
- Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
- MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches
- Identifying Weight-Variant Latent Causal Models
- Large-step neural network for learning the symplectic evolution from partitioned data
- Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis
All 143
- On the Trade-Off between Actionable Explanations and the Right to be Forgotten
- Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
- Towards making the most of NLP-based device mapping optimization for OpenCL kernels
- Robust Sound-Guided Image Manipulation
- Transformers with Learnable Activation Functions
- SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation
- Super-model ecosystem: A domain-adaptation perspective
- Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric
- Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning
- A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning
- Deep Open-Set Recognition for Silicon Wafer Production Monitoring
- Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images
- Symmetric Pruning in Quantum Neural Networks
- Intelligent Perception System for Vehicle-Road Cooperation
- An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks
- A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters
- Deep Autoencoders for Anomaly Detection in Textured Images using CW-SSIM
- CAIR: Fast and Lightweight Multi-Scale Color Attention Network for Instagram Filter Removal
- Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning
- Spacecraft depth completion based on the gray image and the sparse depth map
- Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data
- SoMoFormer: Multi-Person Pose Forecasting with Transformers
- Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
- Prediction of Red Wine Quality Using One-dimensional Convolutional Neural Networks
- Finding neural signatures for obesity through feature selection on source-localized EEG
- EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks
- IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
- HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention
- Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation
- Virtual impactor-based label-free bio-aerosol detection using holography and deep learning
- Combining keyphrase extraction and lexical diversity to characterize ideas in publication titles
- MRL: Learning to Mix with Attention and Convolutions
- Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
- Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior
- Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing
- The case for fully Bayesian optimisation in small-sample trials
- Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis
- NEAR: Named Entity and Attribute Recognition of clinical concepts
- A Spanish dataset for Targeted Sentiment Analysis of political headlines
- PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
- Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data
- CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry
- Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization