Summary of Meta Learning in Bandits Within Shared Affine Subspaces, by Steven Bilaj et al.
Meta Learning in Bandits within Shared Affine Subspacesby Steven Bilaj, Sofien Dhouib, Setareh MaghsudiFirst submitted…
Summary of Survey Of Computerized Adaptive Testing: a Machine Learning Perspective, by Qi Liu et al.
Survey of Computerized Adaptive Testing: A Machine Learning Perspectiveby Qi Liu, Yan Zhuang, Haoyang Bi,…
Summary of C-xgboost: a Tree Boosting Model For Causal Effect Estimation, by Niki Kiriakidou et al.
C-XGBoost: A tree boosting model for causal effect estimationby Niki Kiriakidou, Ioannis E. Livieris, Christos…
Summary of Quarot: Outlier-free 4-bit Inference in Rotated Llms, by Saleh Ashkboos et al.
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMsby Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo…
Summary of Shortcuts Arising From Contrast: Effective and Covert Clean-label Attacks in Prompt-based Learning, by Xiaopeng Xie et al.
Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learningby Xiaopeng Xie, Ming…
Summary of Zero-shot Safety Prediction For Autonomous Robots with Foundation World Models, by Zhenjiang Mao et al.
Zero-shot Safety Prediction for Autonomous Robots with Foundation World Modelsby Zhenjiang Mao, Siqi Dai, Yuang…
Summary of Leveraging Pre-trained and Transformer-derived Embeddings From Ehrs to Characterize Heterogeneity Across Alzheimer’s Disease and Related Dementias, by Matthew West et al.
Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer’s Disease and Related…
Summary of Computation and Communication Efficient Lightweighting Vertical Federated Learning, by Heqiang Wang et al.
Computation and Communication Efficient Lightweighting Vertical Federated Learningby Heqiang Wang, Jieming Bian, Lei WangFirst submitted…
Summary of Addressing Both Statistical and Causal Gender Fairness in Nlp Models, by Hannah Chen et al.
Addressing Both Statistical and Causal Gender Fairness in NLP Modelsby Hannah Chen, Yangfeng Ji, David…
Summary of De-hnn: An Effective Neural Model For Circuit Netlist Representation, by Zhishang Luo et al.
DE-HNN: An effective neural model for Circuit Netlist representationby Zhishang Luo, Truong Son Hy, Puoya…