Sequence To Sequence Models
Hierarchical BiLSTM Max Pooling
Introduced by Talman et al. in Sentence Embeddings in NLI with Iterative Refinement EncodersHBMP is a hierarchy-like structure of BiLSTM layers with max pooling. All in all, this model improves the previous state of the art for SciTail and achieves strong results for the SNLI and MultiNLI.
Source: Sentence Embeddings in NLI with Iterative Refinement Encoders
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Natural Language Inference | 2 | 22.22% |
| Autonomous Driving | 1 | 11.11% |
| Decision Making | 1 | 11.11% |
| Motion Planning | 1 | 11.11% |
| Reinforcement Learning (RL) | 1 | 11.11% |
| Sentence | 1 | 11.11% |
| Sentence Embedding | 1 | 11.11% |
| Sentence Embeddings | 1 | 11.11% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
