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Showing 3951–3975 of 5629 papers

TitleStatusHype
[Reproducibility Report] Explainable Deep One-Class Classification—0
ReS2tAC -- UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices—0
Research on the fast Fourier transform of image based on GPU—0
Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting—0
Resource-Constrained Federated Continual Learning: What Does Matter?—0
Resource-Efficient Generative AI Model Deployment in Mobile Edge Networks—0
Resource Efficient Neural Networks Using Hessian Based Pruning—0
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation—0
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification—0
Rethinking Feature-Based Knowledge Distillation for Face Recognition—0
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach—0
Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation—0
Rethinking the Number of Channels for the Convolutional Neural Network—0
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network—0
RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference—0
Reversible designs for extreme memory cost reduction of CNN training—0
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method—0
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training—0
Revisiting a single-stage method for face detection—0
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection—0
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024—0
Revisiting loss-specific training of filter-based MRFs for image restoration—0
Revisiting Model-based Value Expansion—0
Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving—0
Revisiting Reliability in Large-Scale Machine Learning Research Clusters—0
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