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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/caidog1129/milp_multitask

공식 코드

Multi-task Representation Learning for Mixed Integer Linear Programming

https://github.com/calclavia/story-generation

공식 코드

Improving Neural Story Generation by Targeted Common Sense Grounding

https://github.com/calubkk/raat

공식 코드

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

https://github.com/canoe-z/petdet

공식 코드

PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object Detection

https://github.com/ceferisbarov/TUMLU

공식 코드

TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages

https://github.com/cfifty/ignite

공식 코드

Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction

https://github.com/chaitjo/personalized-dialog

공식 코드

Personalization in Goal-Oriented Dialog

https://github.com/chamwen/NT-Benchmark

공식 코드

A Survey on Negative Transfer

https://github.com/chan-li/vcl

공식 코드

Statistical mechanics of continual learning: variational principle and mean-field potential

https://github.com/chao1224/sgnn-ebm

공식 코드

Structured Multi-task Learning for Molecular Property Prediction

https://github.com/chaofengc/Face-SPARNet

공식 코드

Learning Spatial Attention for Face Super-Resolution

https://github.com/chaojun-wang/progressive-translation

공식 코드

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences

https://github.com/chenastron/mtunet

공식 코드

A Multi-task Framework for Infrared Small Target Detection and Segmentation

https://github.com/chenyd7/pefd

공식 코드

Improved Feature Distillation via Projector Ensemble

https://github.com/cherise215/atria_segmentation_2018

공식 코드

Multi-Task Learning for Left Atrial Segmentation on GE-MRI

https://github.com/chiyuzhang94/pmlm-sft

공식 코드

Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning

https://github.com/chongminggao/KuaiRand

공식 코드

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

https://github.com/choosewhatulike/sparse-sharing

공식 코드

Learning Sparse Sharing Architectures for Multiple Tasks

https://github.com/chuxiaokai/baidu_ultr_dataset

공식 코드

A Large Scale Search Dataset for Unbiased Learning to Rank

https://github.com/chuyuanli/mtl4depr

공식 코드

Multi-Task Learning for Depression Detection in Dialogs

https://github.com/ciecus/MKM-SR

공식 코드

Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation

https://github.com/cja5553/LLMs_in_perioperative_care

공식 코드

The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes

https://github.com/cleopatra-itn/sentimentanalyserslhrnews

공식 코드

Multi-task Learning for Cross-Lingual Sentiment Analysis

https://github.com/cliang1453/super-structured-lottery-tickets

공식 코드

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

https://github.com/clulab/releases/tree/master/cl2022-twoflints

공식 코드

It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers

https://github.com/coastalcph/mtl-disparate

공식 코드

Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces

https://github.com/codefuse-ai/mftcoder

공식 코드

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning

https://github.com/codehan/aqf-rq

공식 코드

Ask Question First for Enhancing Lifelong Language Learning

https://github.com/coli-saar/am-parser

공식 코드

Compositional Semantic Parsing Across Graphbanks

https://github.com/colintr/tabularncd

공식 코드

A Method for Discovering Novel Classes in Tabular Data

https://github.com/congliucf/ECML2014

공식 코드

Conic Multi-Task Classification

https://github.com/cooelf/compassmtl

공식 코드

Task Compass: Scaling Multi-task Pre-training with Task Prefix

https://github.com/cosmaadrian/gaitformer

공식 코드

GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning

https://github.com/cpjku/modularizeddebiasing

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Parameter-efficient Modularised Bias Mitigation via AdapterFusion

https://github.com/cpjku/scalearn

공식 코드

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale

https://github.com/cps11/catvrnn

공식 코드

CatVRNN: Generating Category Texts via Multi-task Learning

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