Summary of Towards Better Statistical Understanding Of Watermarking Llms, by Zhongze Cai et al.
Towards Better Statistical Understanding of Watermarking LLMsby Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong,…
Summary of Adaptsfl: Adaptive Split Federated Learning in Resource-constrained Edge Networks, by Zheng Lin et al.
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networksby Zheng Lin, Guanqiao Qu, Wei Wei,…
Summary of Bilora: a Bi-level Optimization Framework For Overfitting-resilient Low-rank Adaptation Of Large Pre-trained Models, by Rushi Qiang et al.
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Modelsby Rushi Qiang,…
Summary of Bilevel Hypergraph Networks For Multi-modal Alzheimer’s Diagnosis, by Angelica I. Aviles-rivero et al.
Bilevel Hypergraph Networks for Multi-Modal Alzheimer’s Diagnosisby Angelica I. Aviles-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe…
Summary of Policy Bifurcation in Safe Reinforcement Learning, by Wenjun Zou et al.
Policy Bifurcation in Safe Reinforcement Learningby Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo…
Summary of Generalizable and Stable Finetuning Of Pretrained Language Models on Low-resource Texts, by Sai Ashish Somayajula et al.
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Textsby Sai Ashish Somayajula, Youwei…
Summary of Ntk-guided Few-shot Class Incremental Learning, by Jingren Liu et al.
NTK-Guided Few-Shot Class Incremental Learningby Jingren Liu, Zhong Ji, Yanwei Pang, YunLong YuFirst submitted to…
Summary of Projected Forward Gradient-guided Frank-wolfe Algorithm Via Variance Reduction, by M. Rostami et al.
Projected Forward Gradient-Guided Frank-Wolfe Algorithm via Variance Reductionby M. Rostami, S. S. KiaFirst submitted to…
Summary of Affinequant: Affine Transformation Quantization For Large Language Models, by Yuexiao Ma et al.
AffineQuant: Affine Transformation Quantization for Large Language Modelsby Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng…
Summary of Improving Interpretability Of Scores in Anomaly Detection Based on Gaussian-bernoulli Restricted Boltzmann Machine, by Kaiji Sekimoto and Muneki Yasuda
Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machineby Kaiji Sekimoto,…