Summary of Cliperase: Efficient Unlearning Of Visual-textual Associations in Clip, by Tianyu Yang et al.
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIPby Tianyu Yang, Lisen Dai, Zheyuan Liu, Xiangqi…
Summary of Mole: Enhancing Human-centric Text-to-image Diffusion Via Mixture Of Low-rank Experts, by Jie Zhu et al.
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Expertsby Jie Zhu, Yixiong Chen, Mingyu…
Summary of Sequential Order-robust Mamba For Time Series Forecasting, by Seunghan Lee et al.
Sequential Order-Robust Mamba for Time Series Forecastingby Seunghan Lee, Juri Hong, Kibok Lee, Taeyoung ParkFirst…
Summary of Controllable Game Level Generation: Assessing the Effect Of Negative Examples in Gan Models, by Mahsa Bazzaz and Seth Cooper
Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Modelsby Mahsa Bazzaz,…
Summary of Exploring Gradient Subspaces: Addressing and Overcoming Lora’s Limitations in Federated Fine-tuning Of Large Language Models, by Navyansh Mahla et al.
Exploring Gradient Subspaces: Addressing and Overcoming LoRA’s Limitations in Federated Fine-Tuning of Large Language Modelsby…
Summary of Unified Triplet-level Hallucination Evaluation For Large Vision-language Models, by Junjie Wu et al.
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Modelsby Junjie Wu, Tsz Ting Chung, Kai Chen,…
Summary of Why Fine-grained Labels in Pretraining Benefit Generalization?, by Guan Zhe Hong et al.
Why Fine-grained Labels in Pretraining Benefit Generalization?by Guan Zhe Hong, Yin Cui, Ariel Fuxman, Stanley…
Summary of Federated Learning Under Periodic Client Participation and Heterogeneous Data: a New Communication-efficient Algorithm and Analysis, by Michael Crawshaw et al.
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysisby…
Summary of Revisiting Mae Pre-training For 3d Medical Image Segmentation, by Tassilo Wald et al.
Revisiting MAE pre-training for 3D medical image segmentationby Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei…
Summary of Provably Optimal Memory Capacity For Modern Hopfield Models: Transformer-compatible Dense Associative Memories As Spherical Codes, by Jerry Yao-chieh Hu et al.
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codesby…