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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/cqu-isse/Plot2API

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Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network

https://github.com/cranial-xix/cagrad

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Conflict-Averse Gradient Descent for Multi-task Learning

https://github.com/crazydemo/facial-attribute-classification-with-graph

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Exploring Correlations in Multiple Facial Attributes through Graph Attention Network

https://github.com/cscribano/cerberus

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CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning

https://github.com/csj199813/a2net_ecpe

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Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction

https://github.com/cv-rits/densemtl

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DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning

https://github.com/cvlab-unibo/refrec

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RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation

https://github.com/cvqluu/MTL-Speaker-Embeddings

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Leveraging speaker attribute information using multi task learning for speaker verification and diarization

https://github.com/cywang97/unispeech

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UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

https://github.com/danieljkim0118/taskweb

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TaskWeb: Selecting Better Source Tasks for Multi-task NLP

https://github.com/dasol-choi/komultitext

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KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services

https://github.com/david3684/adarank

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AdaRank: Adaptive Rank Pruning for Enhanced Model Merging

https://github.com/davidandym/task-conflict-in-text-to-text-learners

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Do Text-to-Text Multi-Task Learners Suffer from Task Conflict?

https://github.com/davidup1/urlbert

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Continuous Multi-Task Pre-training for Malicious URL Detection and Webpage Classification

https://github.com/dawnvince/mts_cad

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Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection

https://github.com/dddzg/up-detr

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UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

https://github.com/ddlbojack/mt4ssl

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MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets

https://github.com/declare-lab/resta

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Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic

https://github.com/deep-analysis-research/slta

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Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs

https://github.com/deepgraphlearning/peer_benchmark

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PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

https://github.com/deepinsight/insightface

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RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/deeplearnxmu/unigencoder

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UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation

https://github.com/deeppsp/cinc2022

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Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram

https://github.com/deepseek-ai/DeepEP

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A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications

https://github.com/deepseek-ai/deepseek-r1

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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

https://github.com/defaultrui/vln-ver

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Volumetric Environment Representation for Vision-Language Navigation

https://github.com/dehbaiyor/idlfall2021project

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Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers

https://github.com/dengyang17/MTQA

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Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

https://github.com/dengyang17/pacific

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PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

https://github.com/dengyang17/unimind

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A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems

https://github.com/dengyh16code/deformable-gnn

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Learning visual-based deformable object rearrangement with local graph neural networks

https://github.com/deqingyang/mgbr

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Group Buying Recommendation Model Based on Multi-task Learning

https://github.com/detectivemb/task-arithmetic-for-zs-ir

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Investigating Task Arithmetic for Zero-Shot Information Retrieval

https://github.com/devichand579/HPT

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Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles

https://github.com/dfki-nlp/mobie

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MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain

https://github.com/didi/hetsann

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An Attention-based Graph Neural Network for Heterogeneous Structural Learning

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