{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/trace-norm-regularised-deep-multi-task","title":"Trace Norm Regularised Deep Multi-Task Learning","arxiv_id":"1606.04038","date":"2016-06-13","proceeding":null,"authors":["Yongxin Yang","Timothy M. Hospedales"],"abstract":"We propose a framework for training multiple neural networks simultaneously.\nThe parameters from all models are regularised by the tensor trace norm, so\nthat each neural network is encouraged to reuse others' parameters if possible\n-- this is the main motivation behind multi-task learning. In contrast to many\ndeep multi-task learning models, we do not predefine a parameter sharing\nstrategy by specifying which layers have tied parameters. Instead, our\nframework considers sharing for all shareable layers, and the sharing strategy\nis learned in a data-driven way.","url_abs":"http://arxiv.org/abs/1606.04038v2","url_pdf":"http://arxiv.org/pdf/1606.04038v2.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":"trace-norm-regularised-deep-multi-task","repo_url":"https://github.com/wOOL/TNRDMTL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Unlicense"}}],"tasks":[{"task_slug":"multi-task-learning","task_name":"Multi-Task Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1606.04038","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1606.04038"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+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. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/wOOL/TNRDMTL","reach":{"status":"ok","spdx":"Unlicense"}}],"summary":{"unverified":3},"by_repo_kind":{"official":{"samples":3,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"8e6f28ba41fd8a5f","entry":"TensorUnfold","repo":"wOOL/TNRDMTL","repo_kind":"official","path":"tensor_trace_norm.py","file_url":"https://github.com/wOOL/TNRDMTL/blob/HEAD/tensor_trace_norm.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Unlicense","inline_ok":true,"mcp_get_code":{"code_sha256":"8e6f28ba41fd8a5f"}},{"code_sha256_prefix":"ac4e735d935ac0b4","entry":"nuclear_norm","repo":"wOOL/TNRDMTL","repo_kind":"official","path":"tensor_trace_norm.py","file_url":"https://github.com/wOOL/TNRDMTL/blob/HEAD/tensor_trace_norm.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Unlicense","inline_ok":true,"mcp_get_code":{"code_sha256":"ac4e735d935ac0b4"}},{"code_sha256_prefix":"513f6f814c73c5b3","entry":"nuclear_norm_grad","repo":"wOOL/TNRDMTL","repo_kind":"official","path":"tensor_trace_norm.py","file_url":"https://github.com/wOOL/TNRDMTL/blob/HEAD/tensor_trace_norm.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Unlicense","inline_ok":true,"mcp_get_code":{"code_sha256":"513f6f814c73c5b3"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}