Summary of Pretext Training Algorithms For Event Sequence Data, by Yimu Wang et al.
Pretext Training Algorithms for Event Sequence Databy Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung,…
Summary of Logelectra: Self-supervised Anomaly Detection For Unstructured Logs, by Yuuki Yamanaka et al.
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logsby Yuuki Yamanaka, Tomokatsu Takahashi, Takuya Minami, Yoshiaki NakajimaFirst…
Summary of Manifpt: Defining and Analyzing Fingerprints Of Generative Models, by Hae Jin Song et al.
ManiFPT: Defining and Analyzing Fingerprints of Generative Modelsby Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageedFirst…
Summary of Uncertainty Quantification For In-context Learning Of Large Language Models, by Chen Ling et al.
Uncertainty Quantification for In-Context Learning of Large Language Modelsby Chen Ling, Xujiang Zhao, Xuchao Zhang,…
Summary of Fedanchor: Enhancing Federated Semi-supervised Learning with Label Contrastive Loss For Unlabeled Clients, by Xinchi Qiu et al.
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clientsby Xinchi Qiu, Yan…
Summary of Self-consistent Validation For Machine Learning Electronic Structure, by Gengyuan Hu et al.
Self-consistent Validation for Machine Learning Electronic Structureby Gengyuan Hu, Gengchen Wei, Zekun Lou, Philip H.S.…
Summary of Multi-excitation Projective Simulation with a Many-body Physics Inspired Inductive Bias, by Philip A. Lemaitre et al.
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Biasby Philip A. LeMaitre, Marius Krumm,…
Summary of Bitdelta: Your Fine-tune May Only Be Worth One Bit, by James Liu et al.
BitDelta: Your Fine-Tune May Only Be Worth One Bitby James Liu, Guangxuan Xiao, Kai Li,…
Summary of Samformer: Unlocking the Potential Of Transformers in Time Series Forecasting with Sharpness-aware Minimization and Channel-wise Attention, by Romain Ilbert et al.
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise…
Summary of Bridging Associative Memory and Probabilistic Modeling, by Rylan Schaeffer et al.
Bridging Associative Memory and Probabilistic Modelingby Rylan Schaeffer, Nika Zahedi, Mikail Khona, Dhruv Pai, Sang…