Multi-Task Learning

Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature COLING 2022 Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription Interspeech 2022 Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection CVPR 2022 TEAM: A multitask learning based Taxonomy Expansion approach for Attach and Merge NAACL 2022 Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection ACL 2022 teamPN at TSAR-2022 Shared Task: Lexical Simplification using Multi-Level and Modular Approach EMNLP 2022 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022 The NiuTrans’s Submission to the IWSLT22 English-to-Chinese Offline Speech Translation Task ACL 2022 Thompson Sampling for Robust Transfer in Multi-Task Bandits ICML 2022 Toward Building a Language Model for Understanding Temporal Commonsense AACL 2022 Towards an Understanding of Default Policies in Multitask Policy Optimization AISTATS 2022 Towards Better Document-level Relation Extraction via Iterative Inference EMNLP 2022 Towards Cross-speaker Reading Style Transfer on Audiobook Dataset Interspeech 2022 Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models NAACL 2022 Towards Unification of Discourse Annotation Frameworks ACL 2022 Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis ACL 2022 Toward Unifying Text Segmentation and Long Document Summarization EMNLP 2022 Trace norm regularization for multi-task learning with scarce data COLT 2022 TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning AAAI 2022 TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding COLING 2022 Tricks for Training Sparse Translation Models NAACL 2022 Unified Semantic Typing with Meaningful Label Inference NAACL 2022 UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022 Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection COLING 2022 Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy EMNLP 2022