Papers
Sun 28 Mar 2021
62 papers
- Distilling Virtual Examples for Long-tailed RecognitionKnowledge distillation → General knowledge distillation methods
- TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding
- BCNN: Binary Complex Neural Network
- CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks
- Gaussian Process Convolutional Dictionary Learning
- Rethinking ResNets: Improved Stacking Strategies With High Order Schemes
- KNN, An Underestimated Model for Regional Rainfall Forecasting
- Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization
- ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning
- Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
- A Temporal Kernel Approach for Deep Learning with Continuous-time Information
- On the limits of algorithmic prediction across the globe
- Understanding the role of importance weighting for deep learning
- Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
- Knowledge, beliefs, attitudes and perceived risk about COVID-19 vaccine and determinants of COVID-19 vaccine acceptance in Bangladesh
- MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training
- A Bayesian Approach to Identifying Representational Errors
- Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection
- Entropy methods for the confidence assessment of probabilistic classification models
- Image Processing Techniques for identifying tumors in an MRI image
- Bridging the Visual Gap: Wide-Range Image Blending
- Symbolic regression outperforms other models for small data sets
- TransCenter: Transformers with Dense Representations for Multiple-Object Tracking
- Face Recognition as a Method of Authentication in a Web-Based System
- Scaling the weight parameters in Markov logic networks and relational logistic regression models
- Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
- Imponderous Net for Facial Expression Recognition in the Wild
- Quantum Bose-Einstein Statistics for Indistinguishable Concepts in Human Language
- Quantifying Bias in Automatic Speech Recognition
- Explaining Representation by Mutual Information
- Meta-Mining Discriminative Samples for Kinship Verification
- Hierarchical Relationship Alignment Metric Learning
- Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding
- Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network
- The General Theory of General Intelligence: A Pragmatic Patternist Perspective
- BA^2M: A Batch Aware Attention Module for Image Classification
- Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models
- Representation Learning by Ranking across multiple tasks
- Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic
- Improved Autoregressive Modeling with Distribution Smoothing
- ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
- Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes
- Learning Placeholders for Open-Set Recognition
- Picasso: A CUDA-based Library for Deep Learning over 3D Meshes
- PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation
- Attention to Warp: Deep Metric Learning for Multivariate Time Series
- IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT
- Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
- ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames
- InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?
- Invertible Image Signal Processing
- PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS
- A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
- Friends and Foes in Learning from Noisy Labels
- Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
- HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval
- Accurate and Reliable Forecasting using Stochastic Differential Equations
- LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration
- Community Detection in General Hypergraph via Graph Embedding
- Noise Injection-based Regularization for Point Cloud Processing
- On Hallucination and Predictive Uncertainty in Conditional Language Generation
- 'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks