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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/amaai-lab/sonicverse

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SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning

https://github.com/amarasovic/naacl-mpqa-srl4orl

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SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling

https://github.com/amazon-research/replay-based-recurrent-rl

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Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

https://github.com/amazon-research/tanl

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Structured Prediction as Translation between Augmented Natural Languages

https://github.com/amazon-science/instruction-tuning-for-absa

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Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

https://github.com/amazon-science/replay-based-recurrent-rl

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Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

https://github.com/aminbana/MTL-Theory

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Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning

https://github.com/amirveyseh/definition_extraction

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A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

https://github.com/amkatrutsa/edm

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Follow the bisector: a simple method for multi-objective optimization

https://github.com/ammarsherif/stg-mtl

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STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map

https://github.com/amzn/xfer

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Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

https://github.com/anandhperumal/ANA-at-SemEval-2020-Task-4-UNION

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ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)

https://github.com/andreamad8/ToDCL

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Continual Learning in Task-Oriented Dialogue Systems

https://github.com/andrewbo29/mtm-meta-learning-sa

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Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning

https://github.com/andrewcropper/aaai20-forgetgol

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Forgetting to learn logic programs

https://github.com/angelfelipemp/mitigating-negative-transfer-with-ta

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Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection

https://github.com/angrypudding/hybrid-ds

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A Unified Mammogram Analysis Method via Hybrid Deep Supervision

https://github.com/anh56/dl4sa

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Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++

https://github.com/anhtuan5696/TPAMTL

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Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning

https://github.com/animeshprasad/citation_analysis

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Neural Multi-Task Learning for Citation Function and Provenance

https://github.com/antmachineintelligence/mtgbmcode

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MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees

https://github.com/apmoore1/language-model

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Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification

https://github.com/apple/ml-hypersim

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Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

https://github.com/apple/ml-mofi

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MOFI: Learning Image Representations from Noisy Entity Annotated Images

https://github.com/applied-machine-learning-lab/dt4ier

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Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention

https://github.com/applied-machine-learning-lab/hi-merging

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Training-free LLM Merging for Multi-task Learning

https://github.com/applied-machine-learning-lab/moelora-peft

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When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

https://github.com/applied-machine-learning-lab/rmtl

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Multi-Task Recommendations with Reinforcement Learning

https://github.com/arcee-ai/mergekit

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Arcee's MergeKit: A Toolkit for Merging Large Language Models

https://github.com/archiki/Robust-E2E-ASR

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An Investigation of End-to-End Models for Robust Speech Recognition

https://github.com/arifusta/DBTagger

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DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks

https://github.com/armanfard-lab/ati-net

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Attentive Task Interaction Network for Multi-Task Learning

https://github.com/arplaboratory/PENet

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PENet: A Joint Panoptic Edge Detection Network

https://github.com/arthurbra/sequential-sentence-classification

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Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers

https://github.com/arthurmensch/cogspaces

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Learning Neural Representations of Human Cognition across Many fMRI Studies

https://github.com/arwhirang/sa-mtl

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Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation

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