← Learning Types
Machine Learning › Learning Types ›

Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Serialized Output Training by Learned Dominance INTERSPEECH 2024
Disentangled Partial Label Learning AAAI 2024
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting AAAI 2024
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search AAAI 2024
SOT Triggered Neural Clustering for Speaker Attributed ASR INTERSPEECH 2024
A Cross-Attention Layer coupled with Multimodal Fusion Methods for Recognizing Depression from Spontaneous Speech INTERSPEECH 2024
Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech INTERSPEECH 2024
MIND: Multi-Task Incremental Network Distillation AAAI 2024
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model NIPS 2024
Continual Relation Extraction via Sequential Multi-Task Learning AAAI 2024
A Unified Framework for 3D Scene Understanding NIPS 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning AAAI 2024
Cooperative Knowledge Distillation: A Learner Agnostic Approach AAAI 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes NAACL 2024
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes SEMEVAL 2024
AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis SEMEVAL 2024
whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts SEMEVAL 2024
ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuning SEMEVAL 2024
Parameter Competition Balancing for Model Merging NIPS 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection SEMEVAL 2024
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking EACL 2024
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques SEMEVAL 2024
MDCR: A Dataset for Multi-Document Conditional Reasoning EMNLP 2024