Information Theory, Compression Bounds, Feature Learning, Neural Networks
Accelerating SGDM via Learning Rate and Batch Size Schedules: A Lyapunov-Based Analysis
arxiv.org·22h
Why Computer Science Is No Good, Redux
cacm.acm.org·1d
How I Won the “Mostly AI” Synthetic Data Challenge
towardsdatascience.com·1h
RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
arxiv.org·22h
AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
arxiv.org·22h
Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
arxiv.org·1d
LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation
arxiv.org·22h
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