Papers
Wed 18 Aug 2021
146 papers
- End-to-End Urban Driving by Imitating a Reinforcement Learning CoachEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Joint Multiple Intent Detection and Slot Filling via Self-distillationKnowledge distillation → Speech and audio distillation
- Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student BetterKnowledge distillation → Federated, robust and private distillation
- Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality AssessmentKnowledge distillation → General knowledge distillation methods
- Statistical analysis of locally parameterized shapes
- Practical and Secure Federated Recommendation with Personalized Masks
- A Survey on Open Set Recognition
- An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction
- LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
- ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks
- Construction Cost Index Forecasting: A Multi-feature Fusion Approach
- Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies
- MHealth: An Artificial Intelligence Oriented Mobile Application for Personal Healthcare Support
- Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task
- Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
- Analyze and Design Network Architectures by Recursion Formulas
- Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation
- FeelsGoodMan: Inferring Semantics of Twitch Neologisms
- Integrating Dialog History into End-to-End Spoken Language Understanding Systems
- Federated Variational Learning for Anomaly Detection in Multivariate Time Series
- GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network
- Learning to Detect: A Data-driven Approach for Network Intrusion Detection
- Revisiting Binary Local Image Description for Resource Limited Devices
- Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility
- Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
- Quality assessment of image matchers for DSM generation -- a comparative study based on UAV images
- Computing Steiner Trees using Graph Neural Networks
- SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation
- Social Fabric: Tubelet Compositions for Video Relation Detection
- STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification
- Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains
- Data-driven Modeling for Distribution Grids Under Partial Observability
- The Multi-Modal Video Reasoning and Analyzing Competition
- Real-time Bangla License Plate Recognition System for Low Resource Video-based Applications
- Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic
- Temporal Kernel Consistency for Blind Video Super-Resolution
- Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
- Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
- Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
- Stochastic Scene-Aware Motion Prediction
- Towards Robust Human Trajectory Prediction in Raw Videos
- LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
- Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics
- Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space
- LOKI: Long Term and Key Intentions for Trajectory Prediction
- Streaming and Learning the Personal Context
- Research on Gender-related Fingerprint Features
- Predicting Basin Stability of Power Grids using Graph Neural Networks
- Analogical Learning in Tactical Decision Games
- TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
- Transformers predicting the future. Applying attention in next-frame and time series forecasting
- Out-of-Distribution Detection Using Outlier Detection Methods
- X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
- Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks
- Confidence Adaptive Regularization for Deep Learning with Noisy Labels
- MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression
- SHAQ: Single Headed Attention with Quasi-Recurrence
- An Attention Module for Convolutional Neural Networks
- Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation
- CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations
- ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells
- Masked Face Recognition Challenge: The InsightFace Track Report
- ME-PCN: Point Completion Conditioned on Mask Emptiness
- Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
- RTE: A Tool for Annotating Relation Triplets from Text
- Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series
- Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods
- DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
- Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
- Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
- Specificity-preserving RGB-D Saliency Detection
- Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training
- Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images
- Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested
- Effective and scalable clustering of SARS-CoV-2 sequences
- Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability
- Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure
- Single-DARTS: Towards Stable Architecture Search
- Hand Hygiene Video Classification Based on Deep Learning
- Target Adaptive Context Aggregation for Video Scene Graph Generation
- Stack Index Prediction Using Time-Series Analysis
- Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
- Rendering and Tracking the Directional TSDF: Modeling Surface Orientation for Coherent Maps
- Fighting Game Commentator with Pitch and Loudness Adjustment Utilizing Highlight Cues
- Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models
- Image Collation: Matching illustrations in manuscripts
- Existence, uniqueness, and convergence rates for gradient flows in the training of artificial neural networks with ReLU activation
- Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing
- AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters
- Affective Decoding for Empathetic Response Generation
- DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM
- Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention
- Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes
- MeDiaQA: A Question Answering Dataset on Medical Dialogues
- Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
- Moser Flow: Divergence-based Generative Modeling on Manifolds
- Few-Shot Batch Incremental Road Object Detection via Detector Fusion
- Variational Graph Normalized Auto-Encoders
- DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
- Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs
All 146
- Adaptive Graph Convolution for Point Cloud Analysis
- Unbiased IoU for Spherical Image Object Detection
- Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
- SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation
- Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates
- RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
- Deep Hybrid Self-Prior for Full 3D Mesh Generation
- Multi-Anchor Active Domain Adaptation for Semantic Segmentation
- CUSTOM: Aspect-Oriented Product Summarization for E-Commerce
- XAI Methods for Neural Time Series Classification: A Brief Review
- Stochastic Cluster Embedding
- Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms
- Contrastive Identification of Covariate Shift in Image Data
- GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension
- On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
- Structured Outdoor Architecture Reconstruction by Exploration and Classification
- A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
- A New Journey from SDRTV to HDRTV
- Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
- A Unified Framework for Cross-Domain and Cross-System Recommendations
- Unsupervised Image Generation with Infinite Generative Adversarial Networks
- Thermal Image Processing via Physics-Inspired Deep Networks
- De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective
- Scalable regret for learning to control network-coupled subsystems with unknown dynamics
- A Simple Framework for 3D Lensless Imaging with Programmable Masks
- Verifying Low-dimensional Input Neural Networks via Input Quantization
- SynFace: Face Recognition with Synthetic Data
- Semantic Perturbations with Normalizing Flows for Improved Generalization
- WRICNet:A Weighted Rich-scale Inception Coder Network for Multi-Resolution Remote Sensing Image Change Detection
- Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
- Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment
- DeepFake MNIST+: A DeepFake Facial Animation Dataset
- STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images
- Object Disparity
- FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
- Calibration Method of the Monocular Omnidirectional Stereo Camera
- Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot
- Learning Federated Representations and Recommendations with Limited Negatives
- A new semi-supervised inductive transfer learning framework: Co-Transfer
- Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
- Collaboration Equilibrium in Federated Learning
- Adversarial Relighting Against Face Recognition
- Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study
- Data Pricing in Machine Learning Pipelines
- A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized