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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/Zhaoxiangyun/Multi-Task-Modulation-Module

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A Modulation Module for Multi-task Learning with Applications in Image Retrieval

https://github.com/Zhongdao/Towards-Realtime-MOT

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Towards Real-Time Multi-Object Tracking

https://github.com/ZovanZhou/MLRN

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Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling

https://github.com/aalto-mobile-robotics-group/ptinet

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Context-aware Multi-task Learning for Pedestrian Intent and Trajectory Prediction

https://github.com/aau-es-ml/VAD-with-adversarial-multi-task-learning

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Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay

https://github.com/abcxyzi/radchar

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Multi-task Learning for Radar Signal Characterisation

https://github.com/abhi1nandy2/emnlp-2021-findings

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Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework

https://github.com/abisekrk/multitask_hyperbole_metaphor_detection

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A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection

https://github.com/ablustrund/loramoe

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LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

https://github.com/acphile/MCCWS

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A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder

https://github.com/adrianjav/lipschitz-standardization

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Lipschitz standardization for multivariate learning

https://github.com/adrianjav/rotograd

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RotoGrad: Gradient Homogenization in Multitask Learning

https://github.com/aehrc/cxrmate

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Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation

https://github.com/agemagician/CodeTrans

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CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

https://github.com/aghie/tree2labels

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Better, Faster, Stronger Sequence Tagging Constituent Parsers

https://github.com/ahmadelsallab/MultiCheXNet

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MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans

https://github.com/ahmed-khaled-saleh/fmtl-graph

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Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach

https://github.com/ahmed-mahran/mami2022

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Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework

https://github.com/ai-4-atmosphere-remote-sensing/mt-hccar

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MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval

https://github.com/ai4co/awesome-fm4co

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MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

https://github.com/ai4co/routefinder

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RouteFinder: Towards Foundation Models for Vehicle Routing Problems

https://github.com/aim-skku/modeltinting

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Tint Your Models Task-wise for Improved Multi-task Model Merging

https://github.com/aioz-ai/CVPRW21_GPS

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Graph-based Person Signature for Person Re-Identifications

https://github.com/akalikong/ilora

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Customizing Language Models with Instance-wise LoRA for Sequential Recommendation

https://github.com/akariasai/attempt

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ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

https://github.com/akariasai/evidentiality_qa

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Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

https://github.com/akarimoon/xtask_mt

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Cross-Task Consistency Learning Framework for Multi-Task Learning

https://github.com/alberta-lee/nc-24

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Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers

https://github.com/aldahdooh/SFAD

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Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection

https://github.com/alexrakowski/dcid

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DCID: Deep Canonical Information Decomposition

https://github.com/alibaba/EasyNLP

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Towards Unified Prompt Tuning for Few-shot Text Classification

https://github.com/alibaba/federatedscope

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A Benchmark for Federated Hetero-Task Learning

https://github.com/allenai/better-promptability

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Continued Pretraining for Better Zero- and Few-Shot Promptability

https://github.com/allenai/unifiedqa

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UnifiedQA: Crossing Format Boundaries With a Single QA System

https://github.com/alsabahi2030/mh-gec

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Multi-head Sequence Tagging Model for Grammatical Error Correction

https://github.com/alsabahi2030/synthetic-data-generation

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Multi-head Sequence Tagging Model for Grammatical Error Correction

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