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[CVPR 2026] ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in VLMs
[CVPR 2025] VI3NR: Variance Informed Initialization for INRs (Koneputugodage, et al.)
[CVPR'25] Workshop on Autonomous Driving (Full Day)
Dynamic Tanh Normalization for Transformers (CVPR 2025) - Explained
Training Debiased Subnetworks with Contrastive Weight Pruning (CVPR 2023)
[CVPR 2025] Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
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Last Updated: September 29, 2026
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Summary
Hello I'm glad to share work a PQ This Tech Talk explores how to compress Project page: aim-skku.github.io/ZOO- Visual Generative Modeling workshop, VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow. Yancong Lin*, Shiming Wang*, Liangliang Nan, Julian F. P. ... VI3NR: Variance Informed Initialization for Implicit Dynamic Tanh (DyT) is a SOTA normalization-free technique that replaces traditional normalization layers ( LayerNorm or ... Official presentation on Park et al., "
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![Information APQ: Joint Search for Network Architecture, Pruning and Quantization Policy, [CVPR 2020] Guide](https://i.ytimg.com/vi/s5v23hTe60s/mqdefault.jpg)
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