Summary of Where Did Your Model Learn That? Label-free Influence For Self-supervised Learning, by Nidhin Harilal et al.
Where Did Your Model Learn That? Label-free Influence for Self-supervised Learningby Nidhin Harilal, Amit Kiran…
Summary of Enhancing Item Tokenization For Generative Recommendation Through Self-improvement, by Runjin Chen et al.
Enhancing Item Tokenization for Generative Recommendation through Self-Improvementby Runjin Chen, Mingxuan Ju, Ngoc Bui, Dimosthenis…
Summary of Foundation Model For Lossy Compression Of Spatiotemporal Scientific Data, by Xiao Li and Jaemoon Lee and Anand Rangarajan and Sanjay Ranka
Foundation Model for Lossy Compression of Spatiotemporal Scientific Databy Xiao Li, Jaemoon Lee, Anand Rangarajan,…
Summary of Fed-zoe: Communication-efficient Over-the-air Federated Learning Via Zeroth-order Estimation, by Jonggyu Jang et al.
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimationby Jonggyu Jang, Hyeonsu Lyu, David J. Love,…
Summary of Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification, by Changchang Sun and Ren Wang and Yihua Zhang and Jinghan Jia and Jiancheng Liu and Gaowen Liu and Yan Yan and Sijia Liu
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classificationby Changchang Sun,…
Summary of Symplectic Neural Flows For Modeling and Discovery, by Priscilla Canizares et al.
Symplectic Neural Flows for Modeling and Discoveryby Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry,…
Summary of Balls-and-bins Sampling For Dp-sgd, by Lynn Chua et al.
Balls-and-Bins Sampling for DP-SGDby Lynn Chua, Badih Ghazi, Charlie Harrison, Ethan Leeman, Pritish Kamath, Ravi…
Summary of Gradient-based Non-linear Inverse Learning, by Abhishake et al.
Gradient-Based Non-Linear Inverse Learningby Abhishake, Nicole Mücke, Tapio HelinFirst submitted to arxiv on: 21 Dec…
Summary of Layer- and Timestep-adaptive Differentiable Token Compression Ratios For Efficient Diffusion Transformers, by Haoran You et al.
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformersby Haoran You, Connelly Barnes,…
Summary of Unsupervised Discovery Of Formulas For Mathematical Constants, by Michael Shalyt et al.
Unsupervised Discovery of Formulas for Mathematical Constantsby Michael Shalyt, Uri Seligmann, Itay Beit Halachmi, Ofir…