Summary of Transfer Learning with Reconstruction Loss, by Wei Cui and Wei Yu
Transfer Learning with Reconstruction Lossby Wei Cui, Wei YuFirst submitted to arxiv on: 31 Mar…
Summary of Chain: Enhancing Generalization in Data-efficient Gans Via Lipschitz Continuity Constrained Normalization, by Yao Ni et al.
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalizationby Yao Ni, Piotr KoniuszFirst…
Summary of Minimum-norm Interpolation Under Covariate Shift, by Neil Mallinar et al.
Minimum-Norm Interpolation Under Covariate Shiftby Neil Mallinar, Austin Zane, Spencer Frei, Bin YuFirst submitted to…
Summary of Partially-observable Sequential Change-point Detection For Autocorrelated Data Via Upper Confidence Region, by Haijie Xu et al.
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Regionby Haijie Xu, Xiaochen Xian,…
Summary of Heterogeneous Contrastive Learning For Foundation Models and Beyond, by Lecheng Zheng et al.
Heterogeneous Contrastive Learning for Foundation Models and Beyondby Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang…
Summary of Attention-based Shape-deformation Networks For Artifact-free Geometry Reconstruction Of Lumbar Spine From Mr Images, by Linchen Qian et al.
Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Imagesby Linchen Qian,…
Summary of Inflora: Interference-free Low-rank Adaptation For Continual Learning, by Yan-shuo Liang et al.
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learningby Yan-Shuo Liang, Wu-Jun LiFirst submitted to arxiv on:…
Summary of Clustering For Protein Representation Learning, by Ruijie Quan et al.
Clustering for Protein Representation Learningby Ruijie Quan, Wenguan Wang, Fan Ma, Hehe Fan, Yi YangFirst…
Summary of Yolooc: Yolo-based Open-class Incremental Object Detection with Novel Class Discovery, by Qian Wan et al.
YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discoveryby Qian Wan, Xiang Xiang, Qinhao…
Summary of Dilm: Distilling Dataset Into Language Model For Text-level Dataset Distillation, by Aru Maekawa et al.
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillationby Aru Maekawa, Satoshi Kosugi, Kotaro…