{"total":70,"rows":[{"id":"2110.04994","title":"Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans","created":"2021-10-11","cited_by_count":336,"area":null},{"id":"2303.14968","title":"Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective","created":"2023-03-27","cited_by_count":280,"area":null},{"id":"2109.04617","title":"Efficiently Identifying Task Groupings for Multi-Task Learning","created":"2021-09-10","cited_by_count":222,"area":null},{"id":"2103.02631","title":"RotoGrad: Gradient Homogenization in Multitask Learning","created":"2021-03-03","cited_by_count":83,"area":null},{"id":"2302.11529","title":"Modular Deep Learning","created":"2023-02-22","cited_by_count":83,"area":null},{"id":"2104.13874","title":"Exploring Relational Context for Multi-Task Dense Prediction","created":"2021-04-28","cited_by_count":71,"area":null},{"id":"2106.03027","title":"Model Zoo: A Growing \"Brain\" That Learns Continually","created":"2021-06-06","cited_by_count":54,"area":null},{"id":"2111.14893","title":"Learning Multiple Dense Prediction Tasks from Partially Annotated Data","created":"2021-11-29","cited_by_count":42,"area":null},{"id":"2203.16708","title":"Task Adaptive Parameter Sharing for Multi-Task Learning","created":"2022-03-30","cited_by_count":42,"area":null},{"id":"2109.07504","title":"Federated Contrastive Learning for Decentralized Unlabeled Medical Images","created":"2021-09-15","cited_by_count":34,"area":null},{"id":"2111.08687","title":"INTERN: A New Learning Paradigm Towards General Vision","created":"2021-11-16","cited_by_count":33,"area":null},{"id":"2105.07830","title":"Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation","created":"2021-05-17","cited_by_count":32,"area":null},{"id":"2201.07705","title":"GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge","created":"2022-01-19","cited_by_count":32,"area":null},{"id":"2204.02744","title":"Universal Representations: A Unified Look at Multiple Task and Domain Learning","created":"2022-04-06","cited_by_count":23,"area":null},{"id":"2110.14202","title":"Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning","created":"2021-10-27","cited_by_count":22,"area":null},{"id":"2306.04842","title":"InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding","created":"2023-06-08","cited_by_count":22,"area":null},{"id":"2103.11135","title":"High Resolution Face Editing with Masked GAN Latent Code Optimization","created":"2021-03-20","cited_by_count":21,"area":null},{"id":"2203.14949","title":"Controllable Dynamic Multi-Task Architectures","created":"2022-03-28","cited_by_count":21,"area":null},{"id":"2403.09323","title":"E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection","created":"2024-03-14","cited_by_count":21,"area":null},{"id":"2409.06091","title":"Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity","created":"2024-09-09","cited_by_count":20,"area":null},{"id":"2102.06841","title":"Collaborative Intelligence: Challenges and Opportunities","created":"2021-02-13","cited_by_count":19,"area":null},{"id":"2308.02066","title":"Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives","created":"2023-08-03","cited_by_count":18,"area":null},{"id":"2110.13076","title":"AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning","created":"2021-10-25","cited_by_count":17,"area":null},{"id":"2110.15053","title":"Adversarial Robustness in Multi-Task Learning: Promises and Illusions","created":"2021-10-26","cited_by_count":17,"area":null},{"id":"2502.11986","title":"Selective Task Group Updates for Multi-Task Optimization","created":"2025-02-17","cited_by_count":17,"area":null},{"id":"2307.15362","title":"Prompt Guided Transformer for Multi-Task Dense Prediction","created":"2023-07-28","cited_by_count":13,"area":null},{"id":"2312.13514","title":"BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions","created":"2023-12-21","cited_by_count":12,"area":null},{"id":"2404.06486","title":"GO4Align: Group Optimization for Multi-Task Alignment","created":"2024-04-09","cited_by_count":11,"area":null},{"id":"2307.11285","title":"MAS: Towards Resource-Efficient Federated Multiple-Task Learning","created":"2023-07-21","cited_by_count":9,"area":null},{"id":"2310.00986","title":"Multi-task Learning with 3D-Aware Regularization","created":"2023-10-02","cited_by_count":8,"area":null},{"id":"2308.11744","title":"Efficient Controllable Multi-Task Architectures","created":"2023-08-22","cited_by_count":7,"area":null},{"id":"2405.14136","title":"Efficient Multitask Dense Predictor via Binarization","created":"2024-05-23","cited_by_count":7,"area":null},{"id":"2410.14633","title":"Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning","created":"2024-10-18","cited_by_count":7,"area":null},{"id":"2203.05092","title":"A Tree-Structured Multi-Task Model Recommender","created":"2022-03-10","cited_by_count":6,"area":null},{"id":"2307.14382","title":"When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review","created":"2023-07-25","cited_by_count":6,"area":null},{"id":"2404.01976","title":"Joint-Task Regularization for Partially Labeled Multi-Task Learning","created":"2024-04-02","cited_by_count":6,"area":null},{"id":"2103.01435","title":"Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths","created":"2021-03-02","cited_by_count":5,"area":null},{"id":"2210.01384","title":"Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search","created":"2022-10-04","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":"2404.12352","title":"Point-In-Context: Understanding Point Cloud via In-Context Learning","created":"2024-04-18","cited_by_count":4,"area":null},{"id":"2507.07485","title":"Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning","created":"2025-07-10","cited_by_count":4,"area":null},{"id":"2111.07846","title":"Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder","created":"2021-11-15","cited_by_count":3,"area":null},{"id":"2111.14122","title":"Cross-Task Consistency Learning Framework for Multi-Task Learning","created":"2021-11-28","cited_by_count":3,"area":null},{"id":"2305.19844","title":"Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs","created":"2023-05-31","cited_by_count":3,"area":null},{"id":"2307.03374","title":"STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map","created":"2023-07-07","cited_by_count":3,"area":null},{"id":"2409.06716","title":"Detailed delineation of the fetal brain in diffusion MRI via multi-task learning","created":"2024-08-26","cited_by_count":3,"area":null},{"id":"2409.14682","title":"Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems","created":"2024-09-23","cited_by_count":3,"area":null},{"id":"2509.23915","title":"Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis","created":"2025-09-28","cited_by_count":3,"area":null},{"id":"2110.10369","title":"Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?","created":"2021-10-20","cited_by_count":2,"area":null},{"id":"2204.06698","title":"Leveraging convergence behavior to balance conflicting tasks in multi-task learning","created":"2022-04-14","cited_by_count":2,"area":null},{"id":"2305.00441","title":"Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal","created":"2023-04-30","cited_by_count":2,"area":null},{"id":"2308.12114","title":"Less is More -- Towards parsimonious multi-task models using structured sparsity","created":"2023-08-23","cited_by_count":2,"area":null},{"id":"2312.02186","title":"Identifying Spurious Correlations using Counterfactual Alignment","created":"2023-12-01","cited_by_count":2,"area":null},{"id":"2407.12632","title":"CerberusDet: Unified Multi-Dataset Object Detection","created":"2024-07-17","cited_by_count":2,"area":null},{"id":"2511.20646","title":"3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2204.05698","title":"Medusa: Universal Feature Learning via Attentional Multitasking","created":"2022-04-12","cited_by_count":1,"area":null},{"id":"2207.04202","title":"Smart Multi-tenant Federated Learning","created":"2022-07-09","cited_by_count":1,"area":null},{"id":"2208.09427","title":"Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing","created":"2022-08-19","cited_by_count":1,"area":null},{"id":"2305.12066","title":"Attacking All Tasks at Once Using Adversarial Examples in Multi-Task Learning","created":"2023-05-20","cited_by_count":1,"area":null},{"id":"2405.05695","title":"Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost","created":"2024-05-09","cited_by_count":1,"area":null},{"id":"2410.06516","title":"QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2509.19602","title":"Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation","created":"2025-09-23","cited_by_count":1,"area":null},{"id":"2510.09643","title":"Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations","created":"2025-10-04","cited_by_count":1,"area":null},{"id":"2512.20420","title":"Simplifying Multi-Task Architectures Through Task-Specific Normalization","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2207.06754","title":"E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network","created":"2022-07-14","cited_by_count":0,"area":null},{"id":"2301.01015","title":"Semi-Structured Object Sequence Encoders","created":"2023-01-03","cited_by_count":0,"area":null},{"id":"2307.03377","title":"Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection","created":"2023-07-07","cited_by_count":0,"area":null},{"id":"2406.03048","title":"Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learning","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2407.05082","title":"DMTG: One-Shot Differentiable Multi-Task Grouping","created":"2024-07-06","cited_by_count":0,"area":null},{"id":"2408.01331","title":"UnifiedNN: Efficient Neural Network Training on the Cloud","created":"2024-08-02","cited_by_count":0,"area":null}],"next_cursor":null}