Papers
Thu 21 Apr 2022
187 papers
- Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion PlanningEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- SelfD: Self-Learning Large-Scale Driving Policies From the WebEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech SynthesisDiffusion models → Audio, speech and music
- A heuristic to determine the initial gravitational constant of the GSA
- Convex Augmentation for Total Variation Based Phase Retrieval
- Recommendations on test datasets for evaluating AI solutions in pathology
- Investigation of Neural Network Methods for Reconstruction and Classification of Texture Images Under Conditions of Incomplete Information
- Few-shot learning for medical text: A systematic review
- A unified theory of information transfer and causal relation
- Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump
- AU-NN: ANFIS Unit Neural Network
- Automating Neural Architecture Design without Search
- A Mask-Based Adversarial Defense Scheme
- Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other way
- A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis
- Accelerating Machine Learning via the Weber-Fechner Law
- Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps
- A New Lagrangian Problem Crossover: A Systematic Review and Meta-Analysis of Crossover Standards
- Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
- Denoising of Three-Dimensional Fast Spin Echo Magnetic Resonance Images of Knee Joints using Spatial-Variant Noise-Relevant Residual Learning of Convolution Neural Network
- Generative De Novo Protein Design with Global Context
- EVOTER: Evolution of Transparent Explainable Rule-sets
- DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
- Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
- PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
- Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
- Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language
- Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression
- German Parliamentary Corpus (GerParCor)
- PG3: Policy-Guided Planning for Generalized Policy Generation
- Learning Sequential Latent Variable Models from Multimodal Time Series Data
- Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification
- CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors
- Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
- Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds
- ICDBigBird: A Contextual Embedding Model for ICD Code Classification
- Interpolation of Missing Swaption Volatility Data using Gibbs Sampling on Variational Autoencoders
- STD: A Seasonal-Trend-Dispersion Decomposition of Time Series
- Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations
- SoftEdge: Regularizing Graph Classification with Random Soft Edges
- Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems
- Facilitating automated conversion of scientific knowledge into scientific simulation models with the Machine Assisted Generation, Calibration, and Comparison (MAGCC) Framework
- The 6th AI City Challenge
- Contrastive Test-Time Adaptation
- Differentially Private Learning with Margin Guarantees
- Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning
- Distributed Nonparametric Estimation under Communication Constraints
- Model-free Learning of Regions of Attraction via Recurrent Sets
- Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
- Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
- Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
- A Framework for Interactive Knowledge-Aided Machine Teaching
- Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images
- Provably Efficient Kernelized Q-Learning
- Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks
- Machine Learning Algebraic Geometry for Physics
- AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review
- Future Object Detection with Spatiotemporal Transformers
- TorchSparse: Efficient Point Cloud Inference Engine
- Feature anomaly detection system (FADS) for intelligent manufacturing
- Adversarial Contrastive Learning by Permuting Cluster Assignments
- Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance
- Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
- Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics
- DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
- Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research
- Deep learning techniques for energy clustering in the CMS ECAL
- Dynamical simulation via quantum machine learning with provable generalization
- Out-of-distribution generalization for learning quantum dynamics
- DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation
- An Examination of Bias of Facial Analysis based BMI Prediction Models
- Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
- SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space
- The 2021 NIST Speaker Recognition Evaluation
- HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition
- Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues
- A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
- Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
- Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers
- The NIST CTS Speaker Recognition Challenge
- The Silent Problem -- Machine Learning Model Failure -- How to Diagnose and Fix Ailing Machine Learning Models
- Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks
- Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics
- OCTOPUS -- optical coherence tomography plaque and stent analysis software
- SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis
- BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training
- Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics
- Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries
- A Multi-Person Video Dataset Annotation Method of Spatio-Temporally Actions
- Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI
- WebFace260M: A Benchmark for Million-Scale Deep Face Recognition
- A case for using rotation invariant features in state of the art feature matchers
- Multiple EffNet/ResNet Architectures for Melanoma Classification
- Murmurations of elliptic curves
- Toward Fast, Flexible, and Robust Low-Light Image Enhancement
- OSSO: Obtaining Skeletal Shape from Outside
- Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation
- Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers
- Deep Model-Based Super-Resolution with Non-uniform Blur
- Working memory inspired hierarchical video decomposition with transformative representations
All 187
- GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification
- R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction
- Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach
- OTExtSum: Extractive Text Summarisation with Optimal Transport
- A two-level machine learning framework for predictive maintenance: comparison of learning formulations
- Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media
- Detecting Topology Attacks against Graph Neural Networks
- Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information
- Resilient robot teams: a review integrating decentralised control, change-detection, and learning
- Implicit Shape Completion via Adversarial Shape Priors
- SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
- On Distribution Shift in Learning-based Bug Detectors
- Testing robustness of predictions of trained classifiers against naturally occurring perturbations
- A New Dataset and Transformer for Stereoscopic Video Super-Resolution
- DropMessage: Unifying Random Dropping for Graph Neural Networks
- Beyond the density operator and Tr(ρ A): Exploiting the higher-order statistics of random-coefficient pure states for quantum information processing
- A Learned Index for Exact Similarity Search in Metric Spaces
- Is Neuron Coverage Needed to Make Person Detection More Robust?
- Understanding the Domain Gap in LiDAR Object Detection Networks
- Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions
- Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation
- Standing on the Shoulders of Giant Frozen Language Models
- Path-Specific Objectives for Safer Agent Incentives
- MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering
- Towards Fewer Labels: Support Pair Active Learning for Person Re-identification
- Fluctuation-based Outlier Detection
- On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector
- A data filling methodology for time series based on CNN and (Bi)LSTM neural networks
- Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach
- Revisiting initial sets in abstract argumentation
- DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
- Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation
- Merging of neural networks
- Using consumer feedback from location-based services in PoI recommender systems for people with autism
- Transformer-Guided Convolutional Neural Network for Cross-View Geolocalization
- TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla
- ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
- Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic: A Polynomial Reduction to Standard Planning
- Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension
- Domain Invariant Model with Graph Convolutional Network for Mammogram Classification
- Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)
- Towards Reliable Neural Generative Modeling of Detectors
- Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
- Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
- Learning to Purification for Unsupervised Person Re-identification
- Multi-task recommendation system for scientific papers with high-way networks
- Progressive Training of A Two-Stage Framework for Video Restoration
- Perception Visualization: Seeing Through the Eyes of a DNN
- Sonic Interactions in Virtual Environments: the Egocentric Audio Perspective of the Digital Twin
- MRAM-based Analog Sigmoid Function for In-memory Computing
- SinTra: Learning an inspiration model from a single multi-track music segment
- CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
- An Efficient End-to-End Deep Neural Network for Interstitial Lung Disease Recognition and Classification
- Infographics Wizard: Flexible Infographics Authoring and Design Exploration
- Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
- Unsupervised Video Interpolation by Learning Multilayered 2.5D Motion Fields
- Spurious Correlations in Reference-Free Evaluation of Text Generation
- Inducing Gaussian Process Networks
- Fairness in Graph Mining: A Survey
- An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications
- Color Invariant Skin Segmentation
- CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
- Persistent-Transient Duality in Human Behavior Modeling
- Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics
- Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging
- Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval
- A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation
- Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images
- Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information
- Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
- The Risks of Machine Learning Systems
- A Masked Image Reconstruction Network for Document-level Relation Extraction
- FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation
- Weakly Aligned Feature Fusion for Multimodal Object Detection
- Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation
- Multiscale Analysis for Improving Texture Classification
- Multi-Tier Platform for Cognizing Massive Electroencephalogram
- 6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning
- Fast AdvProp
- Memory Bounds for the Experts Problem
- Sample-Based Bounds for Coherent Risk Measures: Applications to Policy Synthesis and Verification
- Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space
- Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms
- SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification
- A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
- Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
- Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR)