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Multi-Task Learning

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하위 태스크: 2
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/orionw/mtlvsift

공식 코드

When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning

https://github.com/ornithos/pytorch-mtds-mocap

공식 코드

Multi-Task Dynamical Systems

https://github.com/ornl/hydragnn

공식 코드

Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

https://github.com/oskarnatan/end-to-end-driving

공식 코드

End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent

https://github.com/overcautious/adenet

공식 코드

Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement

https://github.com/pagand/e2etransfuser

공식 코드

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning

https://github.com/pangolulu/DCMTL

공식 코드

Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant

https://github.com/paperswithcode/galai

공식 코드

Galactica: A Large Language Model for Science

https://github.com/pardistaghavi/swinmtl

공식 코드

SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

https://github.com/pbaghershahi/TGCN

공식 코드

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition

https://github.com/pengsl-lab/esm-nbr

공식 코드

ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning

https://github.com/pengsl-lab/mssl

공식 코드

Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery

https://github.com/pengsl-lab/mssl2drug

공식 코드

Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery

https://github.com/pengwangucla/DeLS-3D

공식 코드

The ApolloScape Open Dataset for Autonomous Driving and its Application

https://github.com/pengwei07/dsaf

공식 코드

DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling

https://github.com/pfnet-research/label-efficient-brain-tumor-segmentation

공식 코드

Label-Efficient Multi-Task Segmentation using Contrastive Learning

https://github.com/phi-ra/fairmultitask

공식 코드

Fairness in Multi-Task Learning via Wasserstein Barycenters

https://github.com/philm5/mscoco-spo-triples

공식 코드

Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing

https://github.com/pinterest/atg-research

공식 코드

OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search

https://github.com/pixtella/anagram-mtl

공식 코드

Diffusion-based Visual Anagram as Multi-task Learning

https://github.com/pmh9960/GCDP

공식 코드

Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis

https://github.com/ppfliu/oos-intent-recognition

공식 코드

Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling

https://github.com/pqy000/PMT-IQA

공식 코드

PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment

https://github.com/prdwb/attentive_history_selection

공식 코드

Attentive History Selection for Conversational Question Answering

https://github.com/princeton-nlp/PURE

공식 코드

A Frustratingly Easy Approach for Entity and Relation Extraction

https://github.com/prismformore/multi-task-transformer

공식 코드

Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation

https://github.com/pritamqu/SSL-ECG

공식 코드

Self-supervised ECG Representation Learning for Emotion Recognition

https://github.com/prs-eth/film-ensemble

공식 코드

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

https://github.com/pth1993/muvitanet

공식 코드

Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning

https://github.com/pujari-rajkumar/rl-guided-multitask-learning

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Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection

https://github.com/pumpkin-co/mtl-lora

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MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning

https://github.com/puzzle-ai/unpuzzle

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UnPuzzle: A Unified Framework for Pathology Image Analysis

https://github.com/pxiangwu/MotionNet

공식 코드

Joint Perception and Prediction for Autonomous Driving: A Survey

https://github.com/pxuab/emo2vec_wassa_paper

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Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training

https://github.com/pytorch/fairseq

공식 코드

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/pytorch/fairseq/tree/master/examples/speech_to_text

공식 코드

fairseq S2T: Fast Speech-to-Text Modeling with fairseq

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