Papers
Mon 4 Apr 2022
180 papers
- Information-Theoretic Policy Learning from Partial Observations with Fully Informed Decision MakersOffline RL and imitation learning from data → Imitation learning methods
- Around View Monitoring System for Hydraulic Excavators
- Failed Disruption Propagation in Integer Genetic Programming
- Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
- Extracting Impact Model Narratives from Social Services' Text
- PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials
- Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG
- CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention
- A pipeline and comparative study of 12 machine learning models for text classification
- Highly efficient reliability analysis of anisotropic heterogeneous slopes: Machine Learning aided Monte Carlo method
- Slope stability predictions on spatially variable random fields using machine learning surrogate models
- A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting
- An optimized hybrid solution for IoT based lifestyle disease classification using stress data
- Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences
- Reinforcement Learning Agents in Colonel Blotto
- Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
- Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs
- Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling
- Multi-Scale Representation Learning on Proteins
- Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
- MonoTrack: Shuttle trajectory reconstruction from monocular badminton video
- Deliberation Model for On-Device Spoken Language Understanding
- Policy Learning with Competing Agents
- Models and Mechanisms for Spatial Data Fairness
- Truck Axle Detection with Convolutional Neural Networks
- High Efficiency Pedestrian Crossing Prediction
- A Survey on Graph Representation Learning Methods
- A Data-Driven Framework for Identifying Investment Opportunities in Private Equity
- Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation
- Applying Automatic Text Summarization for Fake News Detection
- Coarse-to-Fine Sparse Sequential Recommendation
- Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning
- Product Market Demand Analysis Using NLP in Banglish Text with Sentiment Analysis and Named Entity Recognition
- Achieving Long-Term Fairness in Sequential Decision Making
- Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems
- Towards Infield Navigation: leveraging simulated data for crop row detection
- Revisiting Near/Remote Sensing with Geospatial Attention
- The Fast Johnson-Lindenstrauss Transform is Even Faster
- Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks
- Object Permanence Emerges in a Random Walk along Memory
- The First Principles of Deep Learning and Compression
- Reducing SAT to Max2XOR
- Deep learning for the rare-event rational design of 3D printed multi-material mechanical metamaterials
- Face Recognition In Children: A Longitudinal Study
- Experimental quantum adversarial learning with programmable superconducting qubits
- Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
- Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution
- Robust Stuttering Detection via Multi-task and Adversarial Learning
- On Explaining Multimodal Hateful Meme Detection Models
- Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding
- A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization
- Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access
- Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models
- Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
- Lip to Speech Synthesis with Visual Context Attentional GAN
- Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading
- Signal Propagation: A Framework for Learning and Inference In a Forward Pass
- MaxViT: Multi-Axis Vision Transformer
- Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos
- LISA: Learning Implicit Shape and Appearance of Hands
- "This is my unicorn, Fluffy": Personalizing frozen vision-language representations
- Monitoring social distancing with single image depth estimation
- Long Movie Clip Classification with State-Space Video Models
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- Deep Image: A precious image based deep learning method for online malware detection in IoT Environment
- Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data
- Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks
- End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
- TALLFormer: Temporal Action Localization with a Long-memory Transformer
- MultiMAE: Multi-modal Multi-task Masked Autoencoders
- Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices
- T*varepsilon -- Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems
- Exemplar-based Pattern Synthesis with Implicit Periodic Field Network
- Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition
- Scalable Spike-and-Slab
- A Novel Capsule Neural Network Based Model for Drowsiness Detection Using Electroencephalography Signals
- Evolving Neural Selection with Adaptive Regularization
- 3D microstructural generation from 2D images of cement paste using generative adversarial networks
- On Convergence Lemma and Convergence Stability for Piecewise Analytic Functions
- APP: Anytime Progressive Pruning
- Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?
- Stuttgart Open Relay Degradation Dataset (SOReDD)
- More Efficient Identifiability Verification in ODE Models by Reducing Non-Identifiability
- Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection
- Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
- MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing
- SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
- Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
- A Machine With Human-Like Memory Systems
- Modern Views of Machine Learning for Precision Psychiatry
- DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
- Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning
- FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
- Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image
- Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization
- Coarse-to-Fine Q-attention with Learned Path Ranking
- DAD: Data-free Adversarial Defense at Test Time
- HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE
- Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection
- SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition
All 180
- Con2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
- Causality, Causal Discovery, and Causal Inference in Structural Engineering
- CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning
- Context-aware Visual Tracking with Joint Meta-updating
- LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments
- The Group Loss++: A deeper look into group loss for deep metric learning
- Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective
- Which Tricks Are Important for Learning to Rank?
- Unsupervised Learning of Accurate Siamese Tracking
- Event Log Sampling for Predictive Monitoring
- Estimating the Entropy of Linguistic Distributions
- On scientific understanding with artificial intelligence
- Value Gradient weighted Model-Based Reinforcement Learning
- Optimizing the Consumption of Spiking Neural Networks with Activity Regularization
- Correlation Verification for Image Retrieval
- SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
- Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding
- WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
- Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study
- Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning
- SAM-kNN Regressor for Online Learning in Water Distribution Networks
- Degradation-agnostic Correspondence from Resolution-asymmetric Stereo
- Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review
- Re-examining Distillation For Continual Object Detection
- How stable are Transferability Metrics evaluations?
- A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems
- A Comprehensive Survey on Automated Machine Learning for Recommendations
- Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck
- Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization
- Aligned Weight Regularizers for Pruning Pretrained Neural Networks
- Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS
- Synthetic Graph Generation to Benchmark Graph Learning
- Training Fully Connected Neural Networks is existsℝ-Complete
- Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks
- Deep learning, stochastic gradient descent and diffusion maps
- Discretely Indexed Flows
- Detection of Dangerous Events on Social Media: A Perspective Review
- MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Units Detection
- Extended Reality for Mental Health Evaluation -A Scoping Review
- MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality Assessment
- An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images
- Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers
- Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems
- Outlier-Robust Geometric Perception: A Novel Thresholding-Based Estimator with Intra-Class Variance Maximization
- RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
- Flexible Portrait Image Editing with Fine-Grained Control
- GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
- Capsule Networks Do Not Need to Model Everything
- Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction
- Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation
- Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming
- Technical Report on Subspace Pyramid Fusion Network for Semantic Segmentation
- Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
- FedSynth: Gradient Compression via Synthetic Data in Federated Learning
- Into-TTS : Intonation Template Based Prosody Control System
- Improving Monocular Visual Odometry Using Learned Depth
- FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty
- Multi-modality Associative Bridging through Memory: Speech Sound Recollected from Face Video
- Probabilistic Implicit Scene Completion
- Direct Dense Pose Estimation
- Monte Carlo Physarum Machine: Characteristics of Pattern Formation in Continuous Stochastic Transport Networks
- BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning
- Differentiable Rendering for Synthetic Aperture Radar Imagery
- Dynamic Focus-aware Positional Queries for Semantic Segmentation
- An Analysis of Semantically-Aligned Speech-Text Embeddings
- Soft Threshold Ternary Networks
- Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
- Neural Rendering of Humans in Novel View and Pose from Monocular Video
- MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems
- Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach
- Learning Linear Symmetries in Data Using Moment Matching
- Co-Teaching for Unsupervised Domain Adaptation and Expansion
- EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
- Attribute Prototype Network for Any-Shot Learning
- Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs
- A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction
- Unsupervised Change Detection Based on Image Reconstruction Loss
- Continuous Variable Quantum MNIST Classifiers
- Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
- Learning Neural Acoustic Fields