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multi-task learning

2,927 papers

MTL

Papers

A Cross-Attention Layer coupled with Multimodal Fusion Methods for Recognizing Depression from Spontaneous Speech Interspeech 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024 Adapting transformer models to morphological tagging of two highly inflectional languages: a case study on Ancient Greek and Latin ACL 2024 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 Adversarially Robust Multi-task Representation Learning NeurIPS 2024 A Joint Coreference-Aware Approach to Document-Level Target Sentiment Analysis ACL 2024 AlexUNLP-BH at StanceEval2024: Multiple Contrastive Losses Ensemble Strategy with Multi-Task Learning For Stance Detection in Arabic ACL 2024 Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment AAAI 2024 All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation NeurIPS 2024 All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024 AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NeurIPS 2024 Amalgamating Multi-Task Models with Heterogeneous Architectures AAAI 2024 A Multi-Task Embedder For Retrieval Augmented LLMs ACL 2024 A Multi-task Framework with Enhanced Hierarchical Attention for Sentiment Analysis on Classical Chinese Poetry: Utilizing Information from Short Lines EMNLP 2024 A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content EMNLP 2024 A Multitask Training Approach to Enhance Whisper with Open-Vocabulary Keyword Spotting Interspeech 2024 A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning NeurIPS 2024 An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem NeurIPS 2024 ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic ACL 2024 Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations ICLR 2024 Argument Relation Classification through Discourse Markers and Adversarial Training EMNLP 2024 A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm NeurIPS 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024 Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models WACV 2024 A Unified Framework for 3D Scene Understanding NeurIPS 2024