Papers
Sun 19 Dec 2021
70 papers
- Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Controlling the Quality of Distillation in Response-Based Network CompressionKnowledge distillation → General knowledge distillation methods
- Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
- M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots
- Move As You Like: Image Animation in E-Commerce Scenario
- MISO hierarchical inference engine satisfying the law of importation with aggregation functions
- Deep Filtering with DNN, CNN and RNN
- List Autoencoder: Towards Deep Learning Based Reliable Transmission Over Noisy Channels
- Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach
- Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
- Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection
- Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies
- Wiener Guided DIP for Unsupervised Blind Image Deconvolution
- Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
- Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models
- GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
- Inverse deep learning methods and benchmarks for artificial electromagnetic material design
- SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
- On Causal Inference for Data-free Structured Pruning
- Stable Conformal Prediction Sets
- Quantum Approximate Optimization Algorithm applied to the binary perceptron
- Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools
- HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars
- Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching
- Multi-turn RNN-T for streaming recognition of multi-party speech
- End-to-End Learning of Multi-category 3D Pose and Shape Estimation
- UnweaveNet: Unweaving Activity Stories
- Demanding and Designing Aligned Cognitive Architectures
- LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without using linguistic features
- A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph
- On Efficient Transformer-Based Image Pre-training for Low-Level Vision
- Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks
- The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks
- Improving Face-Based Age Estimation with Attention-Based Dynamic Patch Fusion
- FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
- RELAX: Representation Learning Explainability
- Rethinking Importance Weighting for Transfer Learning
- Topology Preserving Local Road Network Estimation from Single Onboard Camera Image
- Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting
- TECM: Transfer Learning-based Evidential C-Means Clustering
- Active Weighted Aging Ensemble for Drifted Data Stream Classification
- Elastic-Link for Binarized Neural Network
- RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment
- Denoised Labels for Financial Time-Series Data via Self-Supervised Learning
- Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information
- Information Field Theory and Artificial Intelligence
- Masked Deep Q-Recommender for Effective Question Scheduling
- Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?
- Evaluating System Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs
- Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition
- Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
- SAGA: Stochastic Whole-Body Grasping with Contact
- ArcFace Knows the Gender, Too!
- Initiative Defense against Facial Manipulation
- Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification
- Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
- D-HAN: Dynamic News Recommendation with Hierarchical Attention Network
- MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
- Managing dataset shift by adversarial validation for credit scoring
- QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
- A New Image Codec Paradigm for Human and Machine Uses
- Unified Named Entity Recognition as Word-Word Relation Classification
- Lerna: Transformer Architectures for Configuring Error Correction Tools for Short- and Long-Read Genome Sequencing
- CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding
- LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach
- Efficient Strong Scaling Through Burst Parallel Training
- Data Augmentation for Mental Health Classification on Social Media
- Precondition and Effect Reasoning for Action Recognition
- A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators
- Wasserstein Generative Learning of Conditional Distribution