multi-task learning

Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory NAACL 2024 Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records NeurIPS 2024 Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost ICLR 2024 AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond CVPR 2024 AV-RIR: Audio-Visual Room Impulse Response Estimation CVPR 2024 Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations AAAI 2024 Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning ICML 2024 Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024 Beyond Link Prediction: On Pre-Training Knowledge Graph Embeddings ACL 2024 Beyond task diversity: provable representation transfer for sequential multitask linear bandits NeurIPS 2024 Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis ACL 2024 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024 BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024 Biologically Inspired Learning Model for Instructed Vision NeurIPS 2024 BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning ACL 2024 Bridging the Code Gap: A Joint Learning Framework across Medical Coding Systems COLING 2024 ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning ACL 2024 Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary ACL 2024 Class Tokens Infusion for Weakly Supervised Semantic Segmentation CVPR 2024 CMMLU: Measuring massive multitask language understanding in Chinese ACL 2024 CM-Off-Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge COLING 2024 CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024 CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024 Continual Relation Extraction via Sequential Multi-Task Learning AAAI 2024 Controlling Vision-Language Models for Multi-Task Image Restoration ICLR 2024