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
- Selection Distribution Generator for Domain Adaptation☆27Updated 5 years ago
- Deep Transfer Learning Papers☆79Updated 2 years ago
- Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017☆100Updated 7 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.☆20Updated 5 years ago
- the source code of Multi-modal Circulant Fusion (MCF) for Temporal Activity Localization☆23Updated 5 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- Implemenation of Asymmetric-TriTraining by Tensorflow☆25Updated 6 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆67Updated last year
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 6 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
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆52Updated 10 years ago
- Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on P…☆42Updated 6 years ago
- Learning From Noisy Singly-labeled Data☆19Updated 6 years ago
- The code of the LIMO algorithm proposed in our ICML'17 paper "A Unified View of Multi-Label Performance Measures"☆8Updated 7 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA) in Keras with tf backend.☆18Updated 6 years ago
- Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"☆29Updated 7 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
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆67Updated 4 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆48Updated 4 years ago
- Leveraging Local and Global Patterns for Self-Attention Networks☆12Updated 5 years ago
- Tensorflow implementation of the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017☆19Updated 5 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
- Label Embedding Network☆91Updated 7 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 5 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆18Updated 5 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 8 years ago