| AberHu/Knowledge-Distillation-Zoo |
804 |
|
0 |
0 |
over 4 years ago |
0 |
|
10 |
|
Python |
| Pytorch implementation of various Knowledge Distillation (KD) methods. |
| yechens/NL2SQL |
493 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
|
|
| Text2SQL 语义解析数据集、解决方案、paper资源整合项目 |
| lorenmt/mtan |
470 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019]. |
| VisualComputingInstitute/TrackR-CNN |
398 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
mit |
Python |
| TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS) |
| bowenc0221/panoptic-deeplab |
333 |
|
0 |
0 |
about 5 years ago |
0 |
|
7 |
apache-2.0 |
Python |
| This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194) |
| harvardnlp/struct-attn |
221 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
mit |
Lua |
| Code for Structured Attention Networks https://arxiv.org/abs/1702.00887 |
| FudanNLP/adversarial-multi-criteria-learning-for-CWS |
141 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
|
Python |
| The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017 |
| Newbeeer/L_DMI |
116 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
|
Python |
| Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function" |
| yicheng-w/CommonSenseMultiHopQA |
106 |
|
0 |
0 |
about 7 years ago |
0 |
|
4 |
mit |
Python |
| Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks" |
| renmengye/inc-few-shot-attractor-public |
81 |
|
0 |
0 |
about 6 years ago |
0 |
|
5 |
mit |
Python |
| Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks" |
