RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representationsby Shun Zhang, Chaoran Yan, Jian…
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Studyby Hongru Du, Jianan…
A Dataset and Framework for Learning State-invariant Object Representationsby Rohan Sarkar, Avinash KakFirst submitted to…
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videosby Sharana Dharshikgan Suresh Dass, Hrishav…
DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Modelsby Yimu Wang, Shuai Yuan,…
Graph Neural Networks for Binary Programmingby Moshe Eliasof, Eldad HaberFirst submitted to arxiv on: 7…
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpointby Haitong Ma, Zhaolin Ren, Bo…
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysisby Zhiyu Liang, Chen…
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Modelby Chenwei Xu,…
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to…