chihkuanyeh / C2AELinks
The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
☆27Updated 7 years ago
Alternatives and similar repositories for C2AE
Users that are interested in C2AE are comparing it to the libraries listed below
Sorting:
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017☆99Updated 7 years ago
- Deep Transfer Learning Papers☆79Updated 3 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆54Updated 11 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- scalable active learning by approximated error reduction☆11Updated 4 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- Domain-Adversarial Neural Network in Tensorflow☆37Updated 6 years ago
- Learning From Noisy Singly-labeled Data☆18Updated 7 years ago
- Materials for implementing and reproducing results in the NIPS paper.☆23Updated 10 years ago
- Graph-Based Semi-Supervised Learning Algorithms☆23Updated 9 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 5 years ago
- Open category classification by adversarial sample generation☆20Updated 4 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 8 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 9 years ago
- [Code] Trace Norm Regularised Deep Multi-Task Learning☆27Updated 7 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 10 years ago
- Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…☆27Updated 4 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 7 years ago
- Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"☆29Updated 7 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆63Updated 7 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆68Updated last year
- AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.☆21Updated 5 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 9 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago