output
20202024
most citedMeta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

162 citations

37 papers

math.OC2024

Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms

Bin Gu, Xiyuan Wei, Hualin Zhang +2

Zeroth-order (ZO) optimization is one key technique for machine learning problems where gradient calculation is expensive or impossible. Several variance reduced ZO proximal algori…

eess.IV202411 cited

Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification

Salma Hassan, Hamad Al Hammadi, Ibrahim Mohammed +1

The early detection and nuanced subtype classification of non-small cell lung cancer (NSCLC), a predominant cause of cancer mortality worldwide, is a critical and complex issue. In…

cs.LG2024

Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning

Raphael Lafargue, Luke Smith, Franck Vermet +4

The predominant method for computing confidence intervals (CI) in few-shot learning (FSL) is based on sampling the tasks with replacement, i.e.\ allowing the same samples to appear…

cs.AI20245 cited

Advances in Preference-based Reinforcement Learning: A Review

Youssef Abdelkareem, Shady Shehata, Fakhri Karray

Reinforcement Learning (RL) algorithms suffer from the dependency on accurately engineered reward functions to properly guide the learning agents to do the required tasks. Preferen…

cs.DC202412 cited

A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework

Emna Baccour, Aiman Erbad, Amr Mohamed +2

The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction, involves high-performance models. In this dynamic environment, users' tasks frequently…

eess.IV20241 cited

Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos

Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani +5

Self-supervised learning (SSL) methods are popular since they can address situations with limited annotated data by directly utilising the underlying data distribution. However, th…