chihkuanyeh / C2AE
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
- Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017☆100Updated 7 years ago
- Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"☆29Updated 7 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- Deep Transfer Learning Papers☆79Updated 2 years ago
- Domain-Adversarial Neural Network in Tensorflow☆37Updated 6 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 8 years ago
- multilabel-learn: Multilabel-Classification Algorithms☆36Updated 4 years ago
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 2 years ago
- The code base for the SCL implementation used in "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017 and in "Pi…☆22Updated 6 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆68Updated 4 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 5 months ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆48Updated 4 years ago
- The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017☆14Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- Implementation of Fast ml-CCA from the ICCV-2015 work "Multi-Label Cross-Modal Retrieval"☆21Updated 6 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆76Updated 10 years ago
- Open category classification by adversarial sample generation☆20Updated 4 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆67Updated last year
- Tensorflow implementation of the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017☆19Updated 5 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 6 years ago
- Implement DeViSE: A Deep Visual-Semantic Embedding Model☆18Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 7 years ago
- ☆19Updated 5 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆53Updated 10 years ago
- ☆25Updated 6 years ago