Summary of Data Pruning Can Do More: a Comprehensive Data Pruning Approach For Object Re-identification, by Zi Yang et al.
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identificationby Zi Yang,…
Summary of Tsgaussian: Semantic and Depth-guided Target-specific Gaussian Splatting From Sparse Views, by Liang Zhao et al.
TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Viewsby Liang Zhao, Zehan Bao, Yi…
Summary of Mobile Video Diffusion, by Haitam Ben Yahia and Denis Korzhenkov and Ioannis Lelekas and Amir Ghodrati and Amirhossein Habibian
Mobile Video Diffusionby Haitam Ben Yahia, Denis Korzhenkov, Ioannis Lelekas, Amir Ghodrati, Amirhossein HabibianFirst submitted…
Summary of Cross-self Kv Cache Pruning For Efficient Vision-language Inference, by Xiaohuan Pei et al.
Cross-Self KV Cache Pruning for Efficient Vision-Language Inferenceby Xiaohuan Pei, Tao Huang, Chang XuFirst submitted…
Summary of [cls] Attention Is All You Need For Training-free Visual Token Pruning: Make Vlm Inference Faster, by Qizhe Zhang et al.
[CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Fasterby…
Summary of Fopru: Focal Pruning For Efficient Large Vision-language Models, by Lei Jiang et al.
FoPru: Focal Pruning for Efficient Large Vision-Language Modelsby Lei Jiang, Weizhe Huang, Tongxuan Liu, Yuting…
Summary of An Exploration Of the Effect Of Quantisation on Energy Consumption and Inference Time Of Starcoder2, by Pepijn De Reus et al.
An exploration of the effect of quantisation on energy consumption and inference time of StarCoder2by…
Summary of How to Discover Short, Shorter, and the Shortest Proofs Of Unsatisfiability: a Branch-and-bound Approach For Resolution Proof Length Minimization, by Konstantin Sidorov et al.
How To Discover Short, Shorter, and the Shortest Proofs of Unsatisfiability: A Branch-and-Bound Approach for…
Summary of Permutative Redundancy and Uncertainty Of the Objective in Deep Learning, by Vacslav Glukhov
Permutative redundancy and uncertainty of the objective in deep learningby Vacslav GlukhovFirst submitted to arxiv…
Summary of Rl-pruner: Structured Pruning Using Reinforcement Learning For Cnn Compression and Acceleration, by Boyao Wang et al.
RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Accelerationby Boyao Wang, Volodymyr KindratenkoFirst…