Latest Research in Advanced Neural Network Applications

Top Research Topics in Advanced Neural Network Applications

• Machine Learning — 15 papers
• Advanced Neural Network Applications — 8 papers
• Hardware Architecture — 7 papers
• Text and Document Classification Technologies — 4 papers
• Information Theory — 3 papers
• Imbalanced Data Classification Techniques — 3 papers
• Computer Vision and Pattern Recognition — 2 papers
• Radiation Effects in Electronics — 2 papers
• Algorithms and Data Compression — 2 papers
• Machine Learning — 2 papers

Highest-Cited Papers

1. Conformal prediction for multi-label learning: a review of methods and guarantees (1 citations)
2. Precision-Aware Variable Bit Processing Elements for Hardware-Efficient Systolic Array Designs
3. Hoeffding adaptive splitting trees for data stream classification with concept drift and ensemble learning
4. Direction-aware multi-label feature selection via paired signed-deviation lifting
5. NeuroFlex: Lossless Element-Level ANN-SNN Co-Execution for Efficient Sparse Inference
6. Alliance Beats Isolation: Unifying Heterogeneous Allied Datasets Improves Classifier Performance
7. FPGN: Redefining Ultra-Fast Programmable Gate-based Neural Acceleration with Differentiable LUTs
8. Augmenting Graph-Based Partial Label Learning with Predictive Representations
9. Mutual Optimization of Label Prediction and Node Representations for Multi-Label Node Classification
10. FAME: An FPGA-Based Platform for Approximate Multipliers Evaluation with Pattern-Guided DNN Retraining
11. Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting
12. Leveraged Learning: entropy cleared per bit received
13. Rotation-Based Subspace Tracking for Robust Kernel PCA on Streaming Data
14. SCALABLE FPGA-BASED DEEP LEARNING ACCELERATOR USING TILED MATRIX MULTIPLICATION AND PIPELINED PROCESSING
15. SCALABLE FPGA-BASED DEEP LEARNING ACCELERATOR USING TILED MATRIX MULTIPLICATION AND PIPELINED PROCESSING
16. A 25-$μ$s/inf Event-driven Graph Neural Network Processor with Spatiotemporal Caching and Spline Convolution for Ultra-low-latency AI at the Edge
17. FastPair: GPU-Optimized String Decoding
18. FINNAS: FINN-Guided Hardware-Aware NAS and Pruning for FPGA Jet Substructure Classification
19. Follow the Geometry, Not the Model: Cold Start Semi-Supervised Learning
20. Successive Refinement Under Strong-Sense Perfect Perception