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Found 3 papers, 1 papers with code
Parameter-Efficient Instance-Adaptive Neural Video Compression
Learning-based Neural Video Codecs (NVCs) have emerged as a compelling alternative to the standard video codecs, demonstrating promising performance, and simple and easily maintainable pipelines.
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning
The recent surge in large-scale foundation models has spurred the development of efficient methods for adapting these models to various downstream tasks.
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
SPINN operates on a per-axis basis instead of point-wise processing in conventional PINNs, decreasing the number of network forward passes.
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