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It introduces the two\nmost common methods for MTL in Deep Learning, gives an overview of the\nliterature, and discusses recent advances. In particular, it seeks to help ML\npractitioners apply MTL by shedding light on how MTL works and providing\nguidelines for choosing appropriate auxiliary tasks.","url_abs":"http://arxiv.org/abs/1706.05098v1","url_pdf":"http://arxiv.org/pdf/1706.05098v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-overview-of-multi-task-learning-in-deep","repo_url":"https://github.com/HazyResearch/metal","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"an-overview-of-multi-task-learning-in-deep","repo_url":"https://github.com/UlionTse/mlgb","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"an-overview-of-multi-task-learning-in-deep","repo_url":"https://github.com/fvilmos/multi_task_learning_shape_color_position","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"an-overview-of-multi-task-learning-in-deep","repo_url":"https://github.com/shenweichen/DeepCTR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"an-overview-of-multi-task-learning-in-deep","repo_url":"https://github.com/shenweichen/DeepCTR-Torch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"drug-discovery","task_name":"Drug Discovery"},{"task_slug":"multi-task-learning","task_name":"Multi-Task Learning"},{"task_slug":"speech-recognition","task_name":"Speech Recognition"},{"task_slug":"speech-recognition-1","task_name":"speech-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1706.05098","atlas_url":"https://app.syntology.ai/?focus=1706.05098","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1706.05098"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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