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Found 3 papers, 1 papers with code
Class-Adaptive Sampling Policy for Efficient Continual Learning
Continual learning (CL) aims to acquire new knowledge while preserving information from previous experiences without forgetting.
Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space
To achieve this, we analyze the null space in the last layer of neural networks, which enables us to quantify overfitting without access to training data or knowledge of the accuracy of those data.
Wireless End-to-End Image Transmission System using Semantic Communications
Semantic communication is considered the future of mobile communication, which aims to transmit data beyond Shannon's theorem of communications by transmitting the semantic meaning of the data rather than the bit-by-bit reconstruction of the data at the receiver's end.
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