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Multi-Task Learning

519 directly classified papers

Papers per year

Papers

Task-aware Retrieval with Instructions ACL 2023
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation ACL 2023
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition ACL 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023
Auxiliary Learning as an Asymmetric Bargaining Game ICML 2023
Adversarial Multi-task Learning for End-to-end Metaphor Detection ACL 2023
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making ICML 2023
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023
Target Vocabulary Recognition Based on Multi-Task Learning with Decomposed Teacher Sequences INTERSPEECH 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023
Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System ACL 2023
Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition EMNLP 2023
Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition AAAI 2023
Masked Trajectory Models for Prediction, Representation, and Control ICML 2023
PCA-based Multi-Task Learning: a Random Matrix Approach ICML 2023
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis AAAI 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal ICML 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP EMNLP 2023
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ACL 2023
Fair and Accurate Decision Making through Group-Aware Learning ICML 2023
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation ICML 2023
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning AAAI 2023
Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023