Summary of Flatness Improves Backbone Generalisation in Few-shot Classification, by Rui Li et al.
Flatness Improves Backbone Generalisation in Few-shot Classificationby Rui Li, Martin Trapp, Marcus Klasson, Arno SolinFirst…
Flatness Improves Backbone Generalisation in Few-shot Classificationby Rui Li, Martin Trapp, Marcus Klasson, Arno SolinFirst…
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Modelsby Zihan Fang, Zheng Lin, Zhe…
Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysisby Baoxing Jiang, Yujie Wan,…
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothingby Chengyan Fu, Wenjie WangFirst submitted to arxiv on:…
SEER-MoE: Sparse Expert Efficiency through Regularization for Mixture-of-Expertsby Alexandre Muzio, Alex Sun, Churan HeFirst submitted…
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Modelby Chao Gao, Sai Qian ZhangFirst submitted…
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Modelsby Zhiyuan Peng, Xuyang…
HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworksby Yingting Li, Rishabh Bhardwaj, Ambuj…
Investigating Regularization of Self-Play Language Modelsby Reda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine…
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotationby Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin,…