Summary of Contrasting Adversarial Perturbations: the Space Of Harmless Perturbations, by Lu Chen et al.
Contrasting Adversarial Perturbations: The Space of Harmless Perturbationsby Lu Chen, Shaofeng Li, Benhao Huang, Fan…
Summary of Analyzing the Evaluation Of Cross-lingual Knowledge Transfer in Multilingual Language Models, by Sara Rajaee and Christof Monz
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Modelsby Sara Rajaee, Christof MonzFirst…
Summary of Learning Structure-aware Representations Of Dependent Types, by Konstantinos Kogkalidis et al.
Learning Structure-Aware Representations of Dependent Typesby Konstantinos Kogkalidis, Orestis Melkonian, Jean-Philippe BernardyFirst submitted to arxiv…
Summary of Improving Large-scale K-nearest Neighbor Text Categorization with Label Autoencoders, by Francisco J. Ribadas-pena et al.
Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencodersby Francisco J. Ribadas-Pena, Shuyuan Cao, Víctor…
Summary of Analyzing Neural Network-based Generative Diffusion Models Through Convex Optimization, by Fangzhao Zhang et al.
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimizationby Fangzhao Zhang, Mert PilanciFirst submitted to…
Summary of Scalable and Efficient Temporal Graph Representation Learning Via Forward Recent Sampling, by Yuhong Luo and Pan Li
Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Samplingby Yuhong Luo, Pan LiFirst…
Summary of Combining T-learning and Dr-learning: a Framework For Oracle-efficient Estimation Of Causal Contrasts, by Lars Van Der Laan et al.
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrastsby Lars van der…
Summary of Structure-aware E(3)-invariant Molecular Conformer Aggregation Networks, by Duy M. H. Nguyen et al.
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networksby Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An…
Summary of Simulation-enhanced Data Augmentation For Machine Learning Pathloss Prediction, by Ahmed P. Mohamed et al.
Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Predictionby Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang,…
Summary of Online Transfer Learning For Rsv Case Detection, by Yiming Sun et al.
Online Transfer Learning for RSV Case Detectionby Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F.…