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[J] Prior knowledge of layer-specific pruning numbers guarantees effective random pruning at initialization
[C] Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning
[W] Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion
[J] Token-wise Asymmetric Contrastive Learning In Countering Unknown Attacks for Face Anti-Spoofing
[J] Tailored Channel Pruning: Achieve Targeted Model Complexity through Adaptive Sparsity Regularization