transductive-learning

30 Semi-Supervised Learning Algorithms

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

[ICASSP 2025] Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"

Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)

Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification

ModSSC: A Modular Framework for Semi Supervised Classification

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

Semi-supervised Label Propagation Algorithm (LPA) for graph node classification and community clustering

Semi-supervised Label Propagation Algorithm (LPA) for graph node classification and community clustering

Exploring evaluating the adversarial robustness of transductive-learning based defenses.

[NeurIPS 2026] Official PyTorch implementation of "Batch-Conditioned Semantic Anchors for Robust Transductive Adaptation of Vision-Language Models" (JPTA).

Segmentação Semi-Supervisionada de Imagens através de Dinâmicas Coletivas em Redes Complexas

Amazon Electronic Products Network Analysis

Graph Attention Networks (GATs) for node classification and regression tasks

Object detection using SSL techniques. This is a semester project done in Summer 2021 as part of our coursework under the Faculty of Computer Science department at Otto-von-Guericke University, Magdeburg Germany.

GCN transductive cross validation.