Deep Learning
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data Xiaohong Chen
Federated learning has become a pivotal distributed learning paradigm, involving collaborative model updates across multiple nodes with private data.
Linguistic Collapse: Neural Collapse in (Large) Language Models
Convergence to a simplex ETF: Class means tend towards equinorm and equiangular vectors when centred about the global average.
Task-oriented Time Series Imputation Evaluation via Generalized Representers Zhixian Wang 1,2, Linxiao Y ang
Specifically, we summarize our contributions into the following points.
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition Mohammadreza Salehi Jae Sung Park
Each video in the dataset is paired with a question and four or five choices.
processing enables human-like zero-shot generalization to random dot stimuli
Motion is a powerful cue that humans use to detect and segment visual objects.
Towards Effective Planning Strategies for Dynamic Opinion Networks
Our experimental results demonstrate that the ranking algorithm-based classifiers provide plans that enhance infection rate control, especially with increased action budgets for small networks.
