ConSDL improves sparse dictionary consistency over SAE baselines
On 16 synthetic settings recovery was near perfect; consistency rose 17.6% for dictionaries and 35.9% for coefficients.
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Stories tagged #sparse-coding
NeuronEye: Query-Guided Visual Concept Activation for Vision-Language Reasoning
NeuronEye activates query-relevant visual concepts in frozen VLMs, lifting Qwen2.5-VL-7B CV-Bench by 3.1 points.
Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation
Paper proposes training-adaptive convolutional sparse coding with a learnable sparsity coefficient for robust visual representations.