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Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays NAACL 2022
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning WACV 2022
Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation NAACL 2022
Listen only to me! How well can target speech extraction handle false alarms? INTERSPEECH 2022
Database Search Results Disambiguation for Task-Oriented Dialog Systems NAACL 2022
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning IJCAI 2022
DREAM: Improving Situational QA by First Elaborating the Situation NAACL 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer ICML 2022
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis INTERSPEECH 2022
Thompson Sampling for Robust Transfer in Multi-Task Bandits ICML 2022
EmpHi: Generating Empathetic Responses with Human-like Intents NAACL 2022
Learning Natural Language Generation with Truncated Reinforcement Learning NAACL 2022
Provable Benefit of Multitask Representation Learning in Reinforcement Learning NIPS 2022
AMS_ADRN at SemEval-2022 Task 5: A Suitable Image-text Multimodal Joint Modeling Method for Multi-task Misogyny Identification SEMEVAL 2022
Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework SEMEVAL 2022
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion SEMEVAL 2022
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction AAAI 2022
Multi-Corpus Speech Emotion Recognition for Unseen Corpus Using Corpus-Wise Weights in Classification Loss INTERSPEECH 2022
Extending RNN-T-based speech recognition systems with emotion and language classification INTERSPEECH 2022
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations NIPS 2022
Generative Modeling for Multi-task Visual Learning ICML 2022
Active Learning for Multiple Target Models NIPS 2022
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning AAAI 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources ICML 2022