{"total":25,"rows":[{"id":"2204.03508","title":"A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods","created":"2022-04-07","cited_by_count":42,"area":null},{"id":"2104.14235","title":"Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety","created":"2021-04-29","cited_by_count":35,"area":null},{"id":"2212.06921","title":"Losses over Labels: Weakly Supervised Learning via Direct Loss Construction","created":"2022-12-13","cited_by_count":11,"area":null},{"id":"2205.14321","title":"Automatic Expert Selection for Multi-Scenario and Multi-Task Search","created":"2022-05-28","cited_by_count":9,"area":null},{"id":"2303.06856","title":"Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies","created":"2023-03-13","cited_by_count":9,"area":null},{"id":"2105.01844","title":"Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer","created":"2021-05-05","cited_by_count":8,"area":null},{"id":"2205.09898","title":"Let the Model Decide its Curriculum for Multitask Learning","created":"2022-05-19","cited_by_count":8,"area":null},{"id":"2301.13465","title":"GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning","created":"2023-01-31","cited_by_count":6,"area":null},{"id":"2403.03468","title":"Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator","created":"2024-03-06","cited_by_count":6,"area":null},{"id":"2106.07356","title":"Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling","created":"2021-06-04","cited_by_count":5,"area":null},{"id":"2206.00568","title":"RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring","created":"2022-06-01","cited_by_count":5,"area":null},{"id":"2106.06129","title":"Instance-Level Task Parameters: A Robust Multi-task Weighting Framework","created":"2021-06-11","cited_by_count":4,"area":null},{"id":"2201.02305","title":"Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task","created":"2022-01-07","cited_by_count":2,"area":null},{"id":"2503.22742","title":"Adaptive Integrated Layered Attention (AILA)","created":"2025-03-26","cited_by_count":2,"area":null},{"id":"2110.13365","title":"Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations","created":"2021-10-26","cited_by_count":1,"area":null},{"id":"2308.08234","title":"Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey","created":"2023-08-16","cited_by_count":1,"area":null},{"id":"2402.01684","title":"A Framework to Implement 1+N Multi-task Fine-tuning Pattern in LLMs Using the CGC-LORA Algorithm","created":"2024-01-22","cited_by_count":1,"area":null},{"id":"2411.02787","title":"Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts","created":"2024-11-05","cited_by_count":1,"area":null},{"id":"2108.09208","title":"Exploring Data Aggregation and Transformations to Generalize across Visual Domains","created":"2021-08-20","cited_by_count":0,"area":null},{"id":"2203.05026","title":"Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems","created":"2022-03-09","cited_by_count":0,"area":null},{"id":"2209.13444","title":"Design Perspectives of Multitask Deep Learning Models and Applications","created":"2022-09-27","cited_by_count":0,"area":null},{"id":"2306.00797","title":"Microstructure quality control of steels using deep learning","created":"2023-06-01","cited_by_count":0,"area":null},{"id":"2307.12519","title":"DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning","created":"2023-07-24","cited_by_count":0,"area":null},{"id":"2407.06485","title":"CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community","created":"2024-07-09","cited_by_count":0,"area":null},{"id":"2604.14805","title":"From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation","created":"2026-04-16","cited_by_count":0,"area":null}],"next_cursor":null}