Papers
Wed 4 Jan 2023
104 papers
- Iterated Decomposition: Improving Science Q&A by Supervising Reasoning ProcessesLLM reasoning → Reasoning benchmarks and evaluation
- Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning
- Biomedical Image Reconstruction: A Survey
- Object Segmentation with Audio Context
- Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0
- KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study
- Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction
- A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding
- Machine-Learning Prediction of the Computed Band Gaps of Double Perovskite Materials
- MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets
- Machine Fault Classification using Hamiltonian Neural Networks
- l1-2 GLasso: L1-2 Regularized Multi-task Graphical Lasso for Joint Estimation of eQTL Mapping and Gene Network
- A general framework for implementing distances for categorical variables
- Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
- Comparing Ordering Strategies For Process Discovery Using Synthesis Rules
- Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural Network
- NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
- Detecting Neighborhood Gentrification at Scale via Street-level Visual Data
- Classification of Single Tree Decay Stages from Combined Airborne LiDAR Data and CIR Imagery
- PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series
- A Meta-Learning Algorithm for Interrogative Agendas
- Deep Statistical Solver for Distribution System State Estimation
- Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting
- t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation
- On Sequential Bayesian Inference for Continual Learning
- A GOA-Based Fault-Tolerant Trajectory Tracking Control for an Underwater Vehicle of Multi-Thruster System without Actuator Saturation
- Privacy and Efficiency of Communications in Federated Split Learning
- Parameter-Efficient Fine-Tuning Design Spaces
- InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval
- A Model for Intelligible Interaction Between Agents That Predict and Explain
- Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS
- Multi-Task Learning for Budbreak Prediction
- Living Images: A Recursive Approach to Computing the Structural Beauty of Images or the Livingness of Space
- MessageNet: Message Classification using Natural Language Processing and Meta-data
- fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems
- Unsupervised Manifold Linearizing and Clustering
- MonoEdge: Monocular 3D Object Detection Using Local Perspectives
- Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach
- PACO: Parts and Attributes of Common Objects
- Fully Automated Artery-Vein ratio and vascular tortuosity measurement in retinal fundus images
- Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem
- Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes
- Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
- Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
- UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?
- An Ensemble Mobile-Cloud Computing Method for Affordable and Accurate Glucometer Readout
- Cost-Sensitive Stacking: an Empirical Evaluation
- Graph State-Space Models and Latent Relational Inference
- Episodes Discovery Recommendation with Multi-Source Augmentations
- Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
- GUAP: Graph Universal Attack Through Adversarial Patching
- Augmenting data-driven models for energy systems through feature engineering: A Python framework for feature engineering
- First-order penalty methods for bilevel optimization
- A Survey on Deep Industrial Transfer Learning in Fault Prognostics
- Automating Nearest Neighbor Search Configuration with Constrained Optimization
- Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
- COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images
- Text sampling strategies for predicting missing bibliographic links
- Learning-based MPC from Big Data Using Reinforcement Learning
- Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
- RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning
- On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats
- CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
- SPTS v2: Single-Point Scene Text Spotting
- Grammar construction methods for extended deterministic expressions
- StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
- Emergent collective intelligence from massive-agent cooperation and competition
- Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
- Learning Ambiguity from Crowd Sequential Annotations
- Robofriend: An Adpative Storytelling Robotic Teddy Bear -- Technical Report
- Multi-Task Learning with Prior Information
- Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
- Federated Learning for Data Streams
- MoBYv2AL: Self-supervised Active Learning for Image Classification
- Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions
- Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy
- PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes
- Generative models for scalar field theories: how to deal with poor scaling?
- Towards Edge-Cloud Architectures for Personal Protective Equipment Detection
- Beckman Defense
- Towards a Pipeline for Real-Time Visualization of Faces for VR-based Telepresence and Live Broadcasting Utilizing Neural Rendering
- Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater Vehicles
- On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
- Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior
- UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach
- Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems
- Machine Learning-based Signal Quality Assessment for Cardiac Volume Monitoring in Electrical Impedance Tomography
- Modeling the Central Supermassive Black Holes Mass of Quasars via LSTM Approach
- Audio-Visual Efficient Conformer for Robust Speech Recognition
- Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA
- The Predictive Forward-Forward Algorithm
- Building Coverage Estimation with Low-resolution Remote Sensing Imagery
- A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging
- Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis
- Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks
- Online Learning of Smooth Functions
- Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers
- Scene Synthesis from Human Motion
- Machine Learning technique for isotopic determination of radioisotopes using HPGe γ-ray spectra
- Attribute-Centric Compositional Text-to-Image Generation