skywaLKer518 / MultiplicativeMultimodalLinks
☆30Updated 7 years ago
Alternatives and similar repositories for MultiplicativeMultimodal
Users that are interested in MultiplicativeMultimodal are comparing it to the libraries listed below
Sorting:
- [ICLR 2019] Learning Factorized Multimodal Representations☆67Updated 4 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 4 years ago
- An implementation of MixMatch with PyTorch☆36Updated 4 years ago
- ☆12Updated 8 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated 2 years ago
- Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)☆35Updated 3 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆109Updated 4 years ago
- Domain Adaptation using External Knowledge for Sentiment Analysis☆54Updated 2 years ago
- Checking the interpretability of attention on text classification models☆49Updated 5 years ago
- Repository of state of the art text/documentation classification algorithms in Pytorch.☆10Updated 6 years ago
- Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…☆52Updated 5 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆90Updated 11 months ago
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆56Updated 4 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆60Updated 5 years ago
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 2 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Repository for ACL 2019 paper☆72Updated 6 years ago
- Gold Loss Correction☆87Updated 6 years ago
- ☆20Updated 5 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 5 years ago
- Information Maximizing Visual Question Generation☆66Updated last year
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Curriculum Learning related papers and materials☆54Updated 4 years ago
- A collection of multimodal datasets, and visual features for VQA and captionning in pytorch. Just run "pip install multimodal"☆82Updated 3 years ago
- ☆24Updated 2 months ago
- Implementation of "MULE: Multimodal Universal Language Embedding"☆16Updated 5 years ago
- Source code for training Gated Multimodal Units on MM-IMDb dataset☆95Updated 2 years ago
- pytorch implementation of SOSELETO☆15Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago