multi-task learning

Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning Interspeech 2024 Fair Resource Allocation in Multi-Task Learning ICML 2024 FAME: Towards Factual Multi-Task Model Editing EMNLP 2024 FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NeurIPS 2024 FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model EMNLP 2024 Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024 FedHCA2: Towards Hetero-Client Federated Multi-Task Learning CVPR 2024 Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling ACL 2024 Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model Interspeech 2024 Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility Interspeech 2024 Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification EMNLP 2024 Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024 First-Order Minimax Bilevel Optimization NeurIPS 2024 Fisher Mask Nodes for Language Model Merging COLING 2024 Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks CVPR 2024 For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction IJCAI 2024 From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models EMNLP 2024 From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction ICLR 2024 Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights IJCAI 2024 Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning ACL 2024 Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking EACL 2024 Geometry of naturalistic object representations in recurrent neural network models of working memory NeurIPS 2024 Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NeurIPS 2024 Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verification Interspeech 2024 GLID: Pre-training a Generalist Encoder-Decoder Vision Model CVPR 2024