Summary of Convolutional Neural Network Compression Via Dynamic Parameter Rank Pruning, by Manish Sharma et al.
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruningby Manish Sharma, Jamison Heard, Eli Saber,…
Summary of Updp: a Unified Progressive Depth Pruner For Cnn and Vision Transformer, by Ji Liu et al.
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformerby Ji Liu, Dehua Tang,…
Summary of Hyperparameter-free Approach For Faster Minimum Bayes Risk Decoding, by Yuu Jinnai and Kaito Ariu
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decodingby Yuu Jinnai, Kaito AriuFirst submitted to arxiv…
Summary of Large Language Models Relearn Removed Concepts, by Michelle Lo et al.
Large Language Models Relearn Removed Conceptsby Michelle Lo, Shay B. Cohen, Fazl BarezFirst submitted to…
Summary of Unified Stochastic Framework For Neural Network Quantization and Pruning, by Haoyu Zhang et al.
Unified Stochastic Framework for Neural Network Quantization and Pruningby Haoyu Zhang, Rayan SaabFirst submitted to…
Summary of Lillama: Large Language Models Compression Via Low-rank Feature Distillation, by Yaya Sy and Christophe Cerisara and Irina Illina
Lillama: Large Language Models Compression via Low-Rank Feature Distillationby Yaya Sy, Christophe Cerisara, Irina IllinaFirst…
Summary of Efficient Fine-tuning and Concept Suppression For Pruned Diffusion Models, by Reza Shirkavand et al.
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Modelsby Reza Shirkavand, Peiran Yu, Shangqian Gao,…
Summary of Adacred: Adaptive Causal Decision Transformers with Feature Crediting, by Hemant Kumawat and Saibal Mukhopadhyay
AdaCred: Adaptive Causal Decision Transformers with Feature Creditingby Hemant Kumawat, Saibal MukhopadhyayFirst submitted to arxiv…
Summary of Channel Merging: Preserving Specialization For Merged Experts, by Mingyang Zhang et al.
Channel Merging: Preserving Specialization for Merged Expertsby Mingyang Zhang, Jing Liu, Ganggui Ding, Xinyi Yu,…
Summary of Robust Federated Learning in the Face Of Covariate Shift: a Magnitude Pruning with Hybrid Regularization Framework For Enhanced Model Aggregation, by Ozgu Goksu et al.
Robust Federated Learning in the Face of Covariate Shift: A Magnitude Pruning with Hybrid Regularization…