Source code for KTP project on networks in project management.

Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

This contains all of the experience of JET as a programmer from beginner to advance.

"Knowledge transfer in StackOverflow", a CSS seminar project by TUM students

🥁 Teach a newbie how to perform better.

Learning in Growing Robots: Knowledge Transfer from Tadpole to Frog Robot

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

Lifelong Naive Bayes

Adaptive Model-based Transfer Evolutionary Algorithm

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)

PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.

The Weizenbaum Institut „Knowledge Tool“ supports interdisciplinary debates by providing a workshop methodology based on predefined instructions and prefabricated workshop materials with the aim to structure and record multi-perspective exploration and analysis.

Multiple methods' implementations to transfer the knowledge between Neural Networks and save/plot/compare the results.

Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification

Pytorch implementation of various Knowledge Distillation (KD) methods.

🧠 A DNN that uses knowledge transfer to perform localization and an RNN that studies and generates texts, built for a university Deep Learning course

[ECCV2022] Factorizing Knowledge in Neural Networks

Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Code and pretrained models for paper: Data-Free Adversarial Distillation