Papers with Code 아카이브

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/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List

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Pedestrian Attribute Recognition: A Survey

https://github.com/wanyu2018umac/UniTE

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UniTE: Unified Translation Evaluation

https://github.com/warriordby/lfx

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Unifying Light Field Perception with Field of Parallax

https://github.com/wc253/pnpmt

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Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems

https://github.com/wei-zeng98/piano-a2s

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End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding

https://github.com/weijialau/rssn

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A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis

https://github.com/weitianxin/MACR

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Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

https://github.com/wendongzh/continual_visual_control

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Predictive Experience Replay for Continual Visual Control and Forecasting

https://github.com/wengbenjue/llms-peft-cook

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Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies

https://github.com/wenliangdai/multi-task-offensive-language-detection

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Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection

https://github.com/wenzhuo-liu/mmtl-uniad

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MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception

https://github.com/whu-usi3dv/whu-synthetic

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WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model Research

https://github.com/wooseong97/sel-update-mtl

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Selective Task Group Updates for Multi-Task Optimization

https://github.com/wuhy68/parameter-efficient-moe

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Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

https://github.com/wuyongjiancode/cyclic

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Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation

https://github.com/wwzll123/esm-nbr

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

https://github.com/wxy-nlp/multitasknat

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Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators

https://github.com/xdqkid/S2S-AMR-Parser

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Improving AMR Parsing with Sequence-to-Sequence Pre-training

https://github.com/xhuang28/NewBioNer

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Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation

https://github.com/xiamenwcy/IrisParseNet

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Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework

https://github.com/xiaoyuan011/casciff

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CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks

https://github.com/xiaozhang521/Unit_Language

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Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech Translation

https://github.com/xiaozhang521/imtl

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Rethinking and Improving Multi-task Learning for End-to-end Speech Translation

https://github.com/xidongbo/AITM

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Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising

https://github.com/xinchen9/cot_distillation_acl2024

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Learning to Maximize Mutual Information for Chain-of-Thought Distillation

https://github.com/xingniu/multitask-ft-fsmt

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Multi-Task Neural Models for Translating Between Styles Within and Across Languages

https://github.com/xingyu-group/3d-density-resampling-sdg

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Domain Generalization of 3D Object Detection by Density-Resampling

https://github.com/xiongchaochen/dudocfnet-multitask

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Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT

https://github.com/xiyinmsu/MultiTask-CNN

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Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition

https://github.com/xl2248/sml

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Scheduled Multi-task Learning for Neural Chat Translation

https://github.com/xuchenglin28/speaker_extraction

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SpEx: Multi-Scale Time Domain Speaker Extraction Network

https://github.com/xycforgithub/MultiTask-MRC

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Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

https://github.com/xyzxinyizhang/h2h

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H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness

https://github.com/xzhang2523/libmoon

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LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch

https://github.com/y-d-wang/changeminds

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ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing

https://github.com/yamizi/taskaugment

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GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.