Summary of Adaptive Feature-based Low-rank Compression Of Large Language Models Via Bayesian Optimization, by Yixin Ji et al.
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimizationby Yixin Ji, Yang Xiang,…
Summary of Partially Unitary Learning, by Mikhail Gennadievich Belov et al.
Partially Unitary Learningby Mikhail Gennadievich Belov, Vladislav Gennadievich MalyshkinFirst submitted to arxiv on: 16 May…
Summary of Hw-gpt-bench: Hardware-aware Architecture Benchmark For Language Models, by Rhea Sanjay Sukthanker et al.
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Modelsby Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Aaron…
Summary of A Note on Continuous-time Online Learning, by Lexing Ying
A note on continuous-time online learningby Lexing YingFirst submitted to arxiv on: 16 May 2024CategoriesMain:…
Summary of Mtlcomb: Multi-task Learning Combining Regression and Classification Tasks For Joint Feature Selection, by Han Cao et al.
MTLComb: multi-task learning combining regression and classification tasks for joint feature selectionby Han Cao, Sivanesan…
Summary of Random Scaling and Momentum For Non-smooth Non-convex Optimization, by Qinzi Zhang et al.
Random Scaling and Momentum for Non-smooth Non-convex Optimizationby Qinzi Zhang, Ashok CutkoskyFirst submitted to arxiv…
Summary of Densely Distilling Cumulative Knowledge For Continual Learning, by Zenglin Shi et al.
Densely Distilling Cumulative Knowledge for Continual Learningby Zenglin Shi, Pei Liu, Tong Su, Yunpeng Wu,…
Summary of Optimizing Sensor Network Design For Multiple Coverage, by Lukas Taus et al.
Optimizing Sensor Network Design for Multiple Coverageby Lukas Taus, Yen-Hsi Richard TsaiFirst submitted to arxiv…
Summary of Efficient Llm Jailbreak Via Adaptive Dense-to-sparse Constrained Optimization, by Kai Hu et al.
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimizationby Kai Hu, Weichen Yu, Yining Li, Kai…
Summary of Tight Bounds For Online Convex Optimization with Adversarial Constraints, by Abhishek Sinha and Rahul Vaze
Tight Bounds for Online Convex Optimization with Adversarial Constraintsby Abhishek Sinha, Rahul VazeFirst submitted to…