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Multi-Task Learning

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평가표: 8
보존된 평가 기록: 16

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

<span style="color:grey; opacity: 0.6">( Image credit: Cross-stitch Networks for Multi-task Learning )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/melissande/dhi-segmentation-buildings

Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks

https://github.com/mengmenm/SMIL

CentralNet: a Multilayer Approach for Multimodal Fusion

https://github.com/meta-llama/llama

LLaMA: Open and Efficient Foundation Language Models

https://github.com/mgmalek/efficient_cross_entropy

https://github.com/microsoft/FairMOT

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/microsoft/MT-DNN

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

https://github.com/microsoft/PythonProgrammingPuzzles

Evaluating Large Language Models Trained on Code

https://github.com/microsoft/UDA

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/microsoft/feddrift

An Efficient Framework for Clustered Federated Learning

https://github.com/milmor/GPT

Language Models are Few-Shot Learners

https://github.com/mindspore-ai/models/blob/master/research/cv/retinaface

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/mindspore-ai/models/tree/master/official/cv/retinaface_resnet50

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/mindspore-ai/models/tree/master/official/nlp/gpt

Language Models are Few-Shot Learners

https://github.com/mindspore-ai/models/tree/master/research/cv/PAMTRI

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/mindspore-ai/models/tree/master/research/cv/fairmot

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/mindspore-courses/ABSA-MindSpore

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

https://github.com/mindspore-courses/heads-on-mindspore/tree/main/6-speech_recognition

Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning

https://github.com/mindspore-lab/mindnlp/blob/master/mindnlp/models/albert/albert.py

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/mitvis/vistext

Unifying Vision-and-Language Tasks via Text Generation

https://github.com/mks0601/V2V-PoseNet_RELEASE

Towards Viewpoint Invariant 3D Human Pose Estimation

https://github.com/mmazuecos/reinact2021-impact-of-answers

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat

https://github.com/mmwebster/variable-transfer-genre

Transfer Learning of Artist Group Factors to Musical Genre Classification

https://github.com/mnm-rnd/elsa-voice-asr

Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning

https://github.com/mobarakol/Surgical_SceneGraph_Generation

Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding

https://github.com/modelscope/FunCodec

LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT

https://github.com/modelscope/modelscope

GLM-130B: An Open Bilingual Pre-trained Model

https://github.com/mrvoh/meta_learning_multilingual_doc_classification

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

https://github.com/mthcom/hscore-dataset-pruning

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/mtzcorporations/nlp_teamjodka

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/musixmatchresearch/umberto

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/my-other-github-account/llm-humaneval-benchmarks

Evaluating Large Language Models Trained on Code

https://github.com/mythwn/mter

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

https://github.com/nadinenijssen/Github_5AUA0_Project_G12T1

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/naist-nlp/tubelex

Multi-task Learning for Low-resource Second Language Acquisition Modeling

https://github.com/najafmurtaza/Developing-Machine-Learning-Models-in-Flask

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

https://github.com/namtpham/image_tampering_detection_references

Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)

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