Papers
Sat 30 Jul 2022
57 papers
- Automated Detection of Acute Lymphoblastic Leukemia Subtypes from Microscopic Blood Smear Images using Deep Neural Networks
- A Multi-View Learning Approach to Enhance Automatic 12-Lead ECG Diagnosis Performance
- Smoothing Entailment Graphs with Language Models
- On Interactive Explanations as Non-Monotonic Reasoning
- Untargeted Region of Interest Selection for GC-MS Data using a Pseudo F-Ratio Moving Window (psiFRMV)
- Delving into Effective Gradient Matching for Dataset Condensation
- Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
- Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis
- ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis
- Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors
- A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization
- Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions
- Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
- Robust Contact State Estimation in Humanoid Walking Gaits
- MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
- Revisiting the Critical Factors of Augmentation-Invariant Representation Learning
- Automatically Categorising GitHub Repositories by Application Domain
- Unified Automatic Control of Vehicular Systems with Reinforcement Learning
- A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes
- Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data
- Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity
- Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
- RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation
- Learning Pseudo Front Depth for 2D Forward-Looking Sonar-based Multi-view Stereo
- Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation
- PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
- HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
- Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
- Towards Privacy-Preserving, Real-Time and Lossless Feature Matching
- Multiple Categories Of Visual Smoke Detection Database
- DRSOM: A Dimension Reduced Second-Order Method
- LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction
- Tackling Neural Architecture Search With Quality Diversity Optimization
- Adding Context to Source Code Representations for Deep Learning
- Solving the vehicle routing problem with deep reinforcement learning
- Streaming Algorithms for Diversity Maximization with Fairness Constraints
- PUSH: a primal heuristic based on Feasibility PUmp and SHifting
- Celeritas: Fast Optimizer for Large Dataflow Graphs
- Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network
- ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls
- Bump hunting through density curvature features
- A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
- Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery
- Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking
- Distilled Low Rank Neural Radiance Field with Quantization for Light Field Compression
- Resolution enhancement of placenta histological images using deep learning
- Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation
- Reinforcement learning with experience replay and adaptation of action dispersion
- Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes
- Learning Shadow Correspondence for Video Shadow Detection
- Few-Shot Class-Incremental Learning from an Open-Set Perspective
- Dynamically Retrieving Knowledge via Query Generation for Informative Dialogue Generation
- DAS: Densely-Anchored Sampling for Deep Metric Learning
- Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds
- Neural Correspondence Field for Object Pose Estimation
- 20 years of network community detection
- Some Practice for Improving the Search Results of E-commerce