A list of code repositories from MARS AI Research Center
| 세부 | 연도 | 요약 | Code |
|---|---|---|---|
| Massive | 2021 | Massive AI를 위한 비지도 학습 기반의 메타 학습 모델 (Meta-GMVAE) 코드 | https://github.com/db-Lee/Meta-GMVAE |
| Massive | 2021 | Learning to Perturb Word Embeddings for Out-of-distribution QA | https://github.com/seanie12/SWEP |
| Massive | 2021 | Large-Scale Meta-Learning with Continual Trajectory Shifting | https://github.com/JWoong148/ContinualTrajectoryShifting |
| Massive | 2021 | Attribution Preservation in Network Compression for Reliable Network Interpretation | https://github.com/GeondoPark/attribute-preserve |
| Massive | 2021 | Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation | https://github.com/keonlee9420/StyleSpeech |
| Massive | 2021 | Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning | https://github.com/wyjeong/FedMatch |
| Massive | 2021 | Distilling Context Linguistic for Language model compression | https://github.com/GeondoPark/CKD |
| Automated | 2021 | 본 HELP 연구에서 제시한 기술을 검증하기 위해, 여러 하드웨어에서 얻은 샘플 제공 및 메타 모델 학습/검증 코드. | https://github.com/HayeonLee/HELP |
| Automated | 2021 | zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation | https://github.com/ztt-21/zTT |
| Reliable | 2021 | FairBatch 알고리즘을 시뮬레이션 할 수 있는 Python 기반의 코드를 공개함. | https://github.com/yuji-roh/fairbatch |
| Secure | 2021 | State Entropy Maximization with Random Encoders for Efficient Exploration (RE3) | https://github.com/younggyoseo/RE3 |
| Secure | 2021 | Co^2L: Contrastive Continual Learning (ICCV 2021) | https://github.com/chaht01/Co2L |
| Secure | 2021 | Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning | https://github.com/junsu-kim97/HIGL |
| Secure | 2021 | "Temporal-dependence" backdoor attack on machine learning models with EHRs | https://github.com/byunggilljoe/mimic3_td_backdoor |
| Secure | 2021 | Dimensional Emotion Detection from Categorical Emotion Annotation | https://github.com/sungjoonpark/emotiondetection |
| Secure | 2021 | How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision | https://github.com/dongkwan-kim/SuperGAT |