Papers
Sun 16 May 2021
62 papers
- Graph-Free Knowledge Distillation for Graph Neural NetworksKnowledge distillation → Graph neural network distillation
- Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student NetworksKnowledge distillation → Distillation for continual learning
- Undistillable: Making A Nasty Teacher That CANNOT teach studentsKnowledge distillation → General knowledge distillation methods
- Model-Based Offline Planning with Trajectory PruningOffline RL and imitation learning from data → Offline RL algorithms
- Explainable Hierarchical Imitation Learning for Robotic Drink PouringOffline RL and imitation learning from data → Robot manipulation imitation learning
- Semi-Supervised Classification and Segmentation on High Resolution Aerial Images
- COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches
- Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
- Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
- Algorithmic Principles of Camera-based Respiratory Motion Extraction
- Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
- Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
- Towards Synthetic Multivariate Time Series Generation for Flare Forecasting
- Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
- DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling
- Dynamic Pooling Improves Nanopore Base Calling Accuracy
- Decision Making with Differential Privacy under a Fairness Lens
- Substitutional Neural Image Compression
- Doc2Dict: Information Extraction as Text Generation
- Abstraction, Validation, and Generalization for Explainable Artificial Intelligence
- Capsule GAN for Prostate MRI Super-Resolution
- AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond
- Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
- Data Augmentation for Sign Language Gloss Translation
- Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
- Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation
- TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction
- Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
- SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain
- Few-NERD: A Few-Shot Named Entity Recognition Dataset
- Sparse to Dense Dynamic 3D Facial Expression Generation
- How is BERT surprised? Layerwise detection of linguistic anomalies
- MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
- Sobolev Norm Learning Rates for Conditional Mean Embeddings
- How Can Robots Trust Each Other For Better Cooperation? A Relative Needs Entropy Based Robot-Robot Trust Assessment Model
- Curiosity-driven Intuitive Physics Learning
- Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
- Bayesian reconstruction of memories stored in neural networks from their connectivity
- Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
- Robust optimal policies for team Markov games
- MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
- Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers
- The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus
- Unsupervised Multi-Modality Registration Network based on Spatially Encoded Gradient Information
- Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval
- Semi-supervised Contrastive Learning with Similarity Co-calibration
- Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
- Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
- An accelerated expectation-maximization algorithm for multi-reference alignment
- Expressive Explanations of DNNs by Combining Concept Analysis with ILP
- BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
- Order Effects in Bayesian Updates
- ExSinGAN: Learning an Explainable Generative Model from a Single Image
- Understanding the Effect of Bias in Deep Anomaly Detection
- Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification
- Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
- CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
- Real-time Detection of Practical Universal Adversarial Perturbations
- Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization
- Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer
- LocalNewton: Reducing Communication Bottleneck for Distributed Learning
- The Volctrans Neural Speech Translation System for IWSLT 2021