Applications of machine learning

Intent Does Matter! Propagating High-order Relations for Exploring Interest Preferences

TeAw: Text-Aware Few-Shot Remote Sensing Image Scene Classification

Spatial Cross-Attention for Transformer-based Image Captioning

Smoothing Point Adjustment-based Evaluation of Time Series Anomaly Detection

LABEL-EFFICIENT AND ROBUST LEARNING FROM MULTIPLE EXPERTS

Overcoming the Seesaw in Monocular 3D Object Detection via Language Knowledge Transferring

Adversarial Contrastive Distillation with Adaptive Denoising

Higher-order Sparse Convolutions in Graph Neural Networks

IoU-Aware Multi-Expert Cascade Network via Dynamic Ensemble for Long-tailed Object Detection

FlowReg: Latent Space Regularization using Normalizing Flow for Limited Samples Learning

Input-dependent Dynamical Channel Association for Knowledge Distillation

An Adaptive Plug-and-Play Network for Few-Shot Learning