Summary of Optimal Eye Surgeon: Finding Image Priors Through Sparse Generators at Initialization, by Avrajit Ghosh et al.
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initializationby Avrajit Ghosh, Xitong Zhang,…
Summary of Slope: Search with Learned Optimal Pruning-based Expansion, by Davor Bokan et al.
SLOPE: Search with Learned Optimal Pruning-based Expansionby Davor Bokan, Zlatan Ajanovic, Bakir LacevicFirst submitted to…
Summary of Concurrent Training and Layer Pruning Of Deep Neural Networks, by Valentin Frank Ingmar Guenter and Athanasios Sideris
Concurrent Training and Layer Pruning of Deep Neural Networksby Valentin Frank Ingmar Guenter, Athanasios SiderisFirst…
Summary of Unveiling the Dynamics Of Information Interplay in Supervised Learning, by Kun Song et al.
Unveiling the Dynamics of Information Interplay in Supervised Learningby Kun Song, Zhiquan Tan, Bochao Zou,…
Summary of Decay Pruning Method: Smooth Pruning with a Self-rectifying Procedure, by Minghao Yang et al.
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedureby Minghao Yang, Linlin Gao, Pengyuan Li,…
Summary of Enhancing In-context Learning Performance with Just Svd-based Weight Pruning: a Theoretical Perspective, by Xinhao Yao et al.
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspectiveby Xinhao Yao, Xiaolin…
Summary of Pruner-zero: Evolving Symbolic Pruning Metric From Scratch For Large Language Models, by Peijie Dong and Lujun Li and Zhenheng Tang and Xiang Liu and Xinglin Pan and Qiang Wang and Xiaowen Chu
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Modelsby Peijie Dong, Lujun Li,…
Summary of Cyclic Sparse Training: Is It Enough?, by Advait Gadhikar et al.
Cyclic Sparse Training: Is it Enough?by Advait Gadhikar, Sree Harsha Nelaturu, Rebekka BurkholzFirst submitted to…
Summary of Towards Efficient Mixture Of Experts: a Holistic Study Of Compression Techniques, by Shwai He et al.
Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniquesby Shwai He, Daize Dong,…
Summary of Polynomial-augmented Neural Networks (panns) with Weak Orthogonality Constraints For Enhanced Function and Pde Approximation, by Madison Cooley et al.
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximationby Madison…