Summary of Badam: a Memory Efficient Full Parameter Optimization Method For Large Language Models, by Qijun Luo et al.
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Modelsby Qijun Luo, Hengxu…
Summary of Solving a Real-world Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering, by Abhijeet Pendyala et al.
Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineeringby…
Summary of Symbolic Prompt Program Search: a Structure-aware Approach to Efficient Compile-time Prompt Optimization, by Tobias Schnabel et al.
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimizationby Tobias Schnabel, Jennifer…
Summary of Towards Leveraging Automl For Sustainable Deep Learning: a Multi-objective Hpo Approach on Deep Shift Neural Networks, by Leona Hennig et al.
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural…
Summary of Conjugate-gradient-like Based Adaptive Moment Estimation Optimization Algorithm For Deep Learning, by Jiawu Tian et al.
Conjugate-Gradient-like Based Adaptive Moment Estimation Optimization Algorithm for Deep Learningby Jiawu Tian, Liwei Xu, Xiaowei…
Summary of Extremum-seeking Action Selection For Accelerating Policy Optimization, by Ya-chien Chang and Sicun Gao
Extremum-Seeking Action Selection for Accelerating Policy Optimizationby Ya-Chien Chang, Sicun GaoFirst submitted to arxiv on:…
Summary of Enhancing Functional Safety in Automotive Ams Circuits Through Unsupervised Machine Learning, by Ayush Arunachalam et al.
Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learningby Ayush Arunachalam, Ian Kintz,…
Summary of Test-time Model Adaptation with Only Forward Passes, by Shuaicheng Niu et al.
Test-Time Model Adaptation with Only Forward Passesby Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu,…
Summary of Convergence Guarantees For Rmsprop and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance, by Qi Zhang et al.
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Varianceby Qi…
Summary of Ts-causalnn: Learning Temporal Causal Relations From Non-linear Non-stationary Time Series Data, by Omar Faruque et al.
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Databy Omar Faruque, Sahara Ali,…