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OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation

Researchers have proposed a new deep learning model called OptiModNet for segmenting the optic disc ...

Aug 20 🗳️ 0
AI

GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels

Researchers have developed a new method for compressing wireless channel data called the Gramian Che...

Aug 20 🗳️ 0
AI

Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection

Researchers have developed a new method for detecting AI-generated images. They propose using a prio...

Aug 20 🗳️ 0
AI

DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

Researchers have proposed a new framework called DART-SD to improve the performance of large languag...

Aug 20 🗳️ 0
AI

Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions

Researchers have found that large language models can be unstable and sensitive ...

AI

CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks

Researchers have developed a new benchmarking framework called CentaurBench to e...

AI

Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments

Researchers have proposed a framework for detecting performance drift in Machine...

AI

MorphoGP: A Nonparametric Framework for Predicting Equilibrium Beach Profiles Under Tidal Influence

Researchers have developed a new framework called MorphoGP to predict equilibriu...

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