Summary of Mora: High-rank Updating For Parameter-efficient Fine-tuning, by Ting Jiang et al.
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuningby Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen…
Summary of Erasing the Bias: Fine-tuning Foundation Models For Semi-supervised Learning, by Kai Gan et al.
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learningby Kai Gan, Tong WeiFirst submitted to…
Summary of Maml-en-llm: Model Agnostic Meta-training Of Llms For Improved In-context Learning, by Sanchit Sinha et al.
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learningby Sanchit Sinha, Yuguang Yue, Victor…
Summary of Efficient Prompt Tuning by Multi-space Projection and Prompt Fusion, By Pengxiang Lan et al.
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusionby Pengxiang Lan, Enneng Yang, Yuting Liu,…
Summary of Block Selective Reprogramming For On-device Training Of Vision Transformers, by Sreetama Sarkar et al.
Block Selective Reprogramming for On-device Training of Vision Transformersby Sreetama Sarkar, Souvik Kundu, Kai Zheng,…
Summary of Large Language Models in Wireless Application Design: In-context Learning-enhanced Automatic Network Intrusion Detection, by Han Zhang et al.
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detectionby Han Zhang,…
Summary of Simultaneous Masking, Not Prompting Optimization: a Paradigm Shift in Fine-tuning Llms For Simultaneous Translation, by Matthew Raffel et al.
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translationby Matthew…
Summary of Low-rank Adaptation Of Time Series Foundational Models For Out-of-domain Modality Forecasting, by Divij Gupta et al.
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecastingby Divij Gupta, Anubhav Bhatti,…
Summary of Sa-fedlora: Adaptive Parameter Allocation For Efficient Federated Learning with Lora Tuning, by Yuning Yang et al.
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuningby Yuning Yang, Xiaohong Liu,…
Summary of C-learner: Constrained Learning For Causal Inference and Semiparametric Statistics, by Tiffany Tianhui Cai et al.
C-Learner: Constrained Learning for Causal Inference and Semiparametric Statisticsby Tiffany Tianhui Cai, Yuri Fonseca, Kaiwen…