Summary of Ornstein-uhlenbeck Adaptation As a Mechanism For Learning in Brains and Machines, by Jesus Garcia Fernandez et al.
Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machinesby Jesus Garcia Fernandez, Nasir…
Summary of Similarity-dissimilarity Loss with Supervised Contrastive Learning For Multi-label Classification, by Guangming Huang et al.
Similarity-Dissimilarity Loss with Supervised Contrastive Learning for Multi-label Classificationby Guangming Huang, Yunfei Long, Cunjin Luo,…
Summary of Balancing Label Quantity and Quality For Scalable Elicitation, by Alex Mallen and Nora Belrose
Balancing Label Quantity and Quality for Scalable Elicitationby Alex Mallen, Nora BelroseFirst submitted to arxiv…
Summary of A Simplifying and Learnable Graph Convolutional Attention Network For Unsupervised Knowledge Graphs Alignment, by Weishan Cai et al.
A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignmentby Weishan Cai,…
Summary of Cohex: a Generalized Framework For Cohort Explanation, by Fanyu Meng et al.
CohEx: A Generalized Framework for Cohort Explanationby Fanyu Meng, Xin Liu, Zhaodan Kong, Xin ChenFirst…
Summary of In-context Kv-cache Eviction For Llms Via Attention-gate, by Zihao Zeng et al.
In-context KV-Cache Eviction for LLMs via Attention-Gateby Zihao Zeng, Bokai Lin, Tianqi Hou, Hao Zhang,…
Summary of Towards Graph Foundation Models: the Perspective Of Zero-shot Reasoning on Knowledge Graphs, by Kai Wang et al.
Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphsby Kai Wang, Siqiang…
Summary of Have the Vlms Lost Confidence? a Study Of Sycophancy in Vlms, by Shuo Li et al.
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMsby Shuo Li, Tao Ji,…
Summary of Reducing Labeling Costs in Sentiment Analysis Via Semi-supervised Learning, by Minoo Jafarlou and Mario M. Kubek
Reducing Labeling Costs in Sentiment Analysis via Semi-Supervised Learningby Minoo Jafarlou, Mario M. KubekFirst submitted…
Summary of Towards Understanding Why Fixmatch Generalizes Better Than Supervised Learning, by Jingyang Li et al.
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learningby Jingyang Li, Jiachun Pan, Vincent Y.…