Papers
Tue 10 Aug 2021
132 papers
- Imitation Learning by Reinforcement LearningOffline RL and imitation learning from data → Imitation learning methods
- DVM-CAR: A large-scale automotive dataset for visual marketing research and applications
- Tracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry
- Harnessing value from data science in business: ensuring explainability and fairness of solutions
- Memristive Charge-Flux Interaction Still Makes It Possible To Find An Ideal Memristor
- A spectral-based analysis of the separation between two-layer neural networks and linear methods
- Adaptive Multi-Resolution Attention with Linear Complexity
- An Image-based Generator Architecture for Synthetic Image Refinement
- A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
- A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
- Causal Order Identification to Address Confounding: Binary Variables
- Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders
- Knowledge-Based Stable Roommates Problem: A Real-World Application
- On the Distinction Between "Conditional Average Treatment Effects" (CATE) and "Individual Treatment Effects" (ITE) Under Ignorability Assumptions
- BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
- Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
- First Order Locally Orderless Registration
- Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
- FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
- Flow-based SVDD for anomaly detection
- Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention
- Analysis of ODE2VAE with Examples
- Interpreting Generative Adversarial Networks for Interactive Image Generation
- How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
- On the Effect of Pruning on Adversarial Robustness
- Differentiable Surface Rendering via Non-Differentiable Sampling
- Retiring Adult: New Datasets for Fair Machine Learning
- Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
- MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
- AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection
- Matching Algorithms for Blood Donation
- Attention-like feature explanation for tabular data
- Optimal learning of quantum Hamiltonians from high-temperature Gibbs states
- Post-hoc Interpretability for Neural NLP: A Survey
- Self-supervised Consensus Representation Learning for Attributed Graph
- The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
- R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes
- Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
- Binary Complex Neural Network Acceleration on FPGA
- Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning
- Meta-repository of screening mammography classifiers
- Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston
- Bandit Algorithms for Precision Medicine
- SUNet: Symmetric Undistortion Network for Rolling Shutter Correction
- On the Foundations of Grounding in Answer Set Programming
- Multi-Valued Cognitive Maps: Calculations with Linguistic Variables without Using Numbers
- FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning
- Logical Information Cells I
- Headed-Span-Based Projective Dependency Parsing
- Evaluation of Load Prediction Techniques for Distributed Stream Processing
- The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data
- Multi-Factors Aware Dual-Attentional Knowledge Tracing
- Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction
- Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models
- Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
- Crowdsourced Databases and Sui Generis Rights
- PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage
- Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
- BIDCD -- Bosch Industrial Depth Completion Dataset
- Active Learning for Saddle Point Calculation
- Multi-Camera Trajectory Forecasting with Trajectory Tensors
- Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization
- Natural Language Processing with Commonsense Knowledge: A Survey
- U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations
- Differentiable Subset Pruning of Transformer Heads
- FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network
- Learning Canonical 3D Object Representation for Fine-Grained Recognition
- Maximizing Influence with Graph Neural Networks
- A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions
- Hope Speech detection in under-resourced Kannada language
- White blood cell subtype detection and classification
- A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information
- Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
- Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving
- Label-informed Graph Structure Learning for Node Classification
- On Learning and Testing Decision Tree
- Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems
- UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks
- Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
- Deep Metric Learning for Open World Semantic Segmentation
- Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
- SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation
- Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis
- The Benefits of Implicit Regularization from SGD in Least Squares Problems
- ABC-FL: Anomalous and Benign client Classification in Federated Learning
- Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
- Epigenetic opportunities for Evolutionary Computation
- Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future
- TrUMAn: Trope Understanding in Movies and Animations
- Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation
- BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
- Time-Optimal Planning for Quadrotor Waypoint Flight
- Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
- ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
- Hand Pose Classification Based on Neural Networks
- Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification
- A Survey on Deep Reinforcement Learning for Data Processing and Analytics
- Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
- TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
- Exploiting Features with Split-and-Share Module
All 132
- Regularized Sequential Latent Variable Models with Adversarial Neural Networks
- Complexity of Inexact Proximal Point Algorithm for minimizing convex functions with Holderian Growth
- Scalable Reverse Image Search Engine for NASAWorldview
- SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
- Localized Graph Collaborative Filtering
- End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
- Method Towards CVPR 2021 SimLocMatch Challenge
- Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
- Reference-based Defect Detection Network
- CPNet: Cross-Parallel Network for Efficient Anomaly Detection
- Method Towards CVPR 2021 Image Matching Challenge
- High Quality Related Search Query Suggestions using Deep Reinforcement Learning
- An empirical investigation into audio pipeline approaches for classifying bird species
- Decentralized Composite Optimization with Compression
- Lifelong Intent Detection via Multi-Strategy Rebalancing
- SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
- AdaRNN: Adaptive Learning and Forecasting of Time Series
- Domain-Aware Universal Style Transfer
- A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
- Deep Learning Enhanced Dynamic Mode Decomposition
- Revisit the Fundamental Theorem of Linear Algebra
- Enhancing Knowledge Tracing via Adversarial Training
- Tensor Principal Component Analysis in High Dimensional CP Models
- FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting
- Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
- Privacy-Preserving Machine Learning: Methods, Challenges and Directions
- On Procedural Adversarial Noise Attack And Defense
- StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition
- Stroke Correspondence by Labeling Closed Areas
- Rethinking Architecture Selection in Differentiable NAS
- Diversity-aware Web APIs Recommendation with Compatibility Guarantee
- MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam