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activation_layer

Syntologyentry name in harvested coderead from the graph 2026-09-24

activation_layer appears in the code Syntology harvested for 34 papers, as 14 distinct code bodies found in 35 places (a place is one code body under one paper). At least one of them ran in 24 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named activation_layer do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 7 of the 14 distinct code bodies named activation_layer; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
3ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 35 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

34 papers shown of 34, newest first; 35 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 6 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation added by Syntology 2026-08 (from id) WNQzhu/TSPORec/code/RQVAE/models/layers.py fc089588049a4d8c ran no licence file found · pointer only
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment added by Syntology 2026-05 (from id) westlake-repl/PixelRec/code/REC/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains added by Syntology 2026-04 (from id) RUCAIBox/RecBole/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Retrieve-then-Adapt: Test-Time Retrieval-Augmentation for Sequential Recommendation added by Syntology 2026-04 (from id) xingt-tang/ReAd/recbole/model/layers.py dd7349fade1cc74e unverified MIT (permissive)
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes added by Syntology 2026-03 (from id) AONE-NLP/NEXTPP/tpp/model/baselayer.py d49d5a4ade4321b5 unverified no licence file found · pointer only
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation added by Syntology 2025-09 (from id) reczoo/RecBase/models/clvae.py 827516ae99ad061f ran · our draft was wrong licence not identified · pointer only
Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation 16 May 2025 Code2Q/TagCF/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems 3 Nov 2024 Applied-Machine-Learning-Lab/LinRec/layers.py b5b0bb176f34b7a4 ran no licence file found · pointer only
MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation 27 Jul 2024 unintelligentmumu/matrrec/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
FourierKAN-GCF: Fourier Kolmogorov-Arnold Network -- An Effective and Efficient Feature Transformation for Graph Collaborative Filtering 3 Jun 2024 jinfeng-xu/fkan-gcf/models/common/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Multi-intent-aware Session-based Recommendation 2 May 2024 jin530/miasrec/recbole/model/layers.py b5b0bb176f34b7a4 ran no licence file found · pointer only
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework 29 Apr 2024 applied-machine-learning-lab/m3oe/MDMTRec/basic/activation.py 30e596864fce6bbc ran no licence file found · pointer only
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering 18 Feb 2024 PeiJieSun/NESCL/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
RecDCL: Dual Contrastive Learning for Recommendation 28 Jan 2024 thudm/recdcl/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential Recommendation 1 Jan 2024 rucaibox/ckd-mdsr/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels 13 Sep 2023 westlake-repl/pixelrec/code/REC/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Attention Calibration for Transformer-based Sequential Recommendation 18 Aug 2023 aim-se/ac-tsr/recbole/model/layers.py b5b0bb176f34b7a4 ran no licence file found · pointer only
EasyTPP: Towards Open Benchmarking Temporal Point Processes 16 Jul 2023 ant-research/easytemporalpointprocess/easy_tpp/model/baselayer.py d49d5a4ade4321b5 unverified Apache-2.0 (permissive)
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning 26 May 2023 ant-research/EasyTemporalPointProcess/easy_tpp/model/baselayer.py d49d5a4ade4321b5 unverified Apache-2.0 (permissive)
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation 18 Apr 2023 sudaada/fearec/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Meta-optimized Contrastive Learning for Sequential Recommendation 16 Apr 2023 qinhsiu/mclrec/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Debiased Contrastive Learning for Sequential Recommendation 21 Mar 2023 hkuds/dcrec/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Towards Representation Alignment and Uniformity in Collaborative Filtering 26 Jun 2022 thuwangcy/directau/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation 18 May 2022 juyongjiang/adamct/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
Decoupled Side Information Fusion for Sequential Recommendation 23 Apr 2022 AIM-SE/DIF-SR/recbole/model/layers.py b5b0bb176f34b7a4 ran Apache-2.0 (permissive)
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation 12 Oct 2021 RuihongQiu/DuoRec/recbole/model/layers.py b5b0bb176f34b7a4 ran MIT (permissive)
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems 19 Aug 2020 shenweichen/DeepCTR-Torch/deepctr_torch/layers/activation.py e8b1b2ea4e2ca71d unverified Apache-2.0 (permissive)
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction 23 May 2019 datawhalechina/torch-rechub/torch_rechub/basic/activation.py b9cfbe7def435449 unverified MIT (permissive)
Deep Session Interest Network for Click-Through Rate Prediction 16 May 2019 shenweichen/DeepCTR-PyTorch/deepctr_torch/layers/activation.py e8b1b2ea4e2ca71d unverified Apache-2.0 (permissive)
End-to-end Lane Detection through Differentiable Least-Squares Fitting 1 Feb 2019 wvangansbeke/LaneDetection_End2End/Backprojection_Loss/Networks/LSQ_layer.py 6530ce91d9113378 ran · our draft was wrong licence not identified · pointer only
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology 23 Dec 2018 BorgwardtLab/Neural-Persistence/src/model_definitions.py 917ed6b40d46eadd unverified MIT (permissive)
Deep Interest Evolution Network for Click-Through Rate Prediction 11 Sep 2018 kupuSs/DIEN-pipline/main/activation.py e104b06ecdb1248e unverified Apache-2.0 (permissive)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) 23 Nov 2015 MalayAgarwal-Lee/MesoNet-DeepFakeDetection/mesonet/model.py 5770a3f04d128ada ran · our draft was wrong no licence file found · pointer only
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) 23 Nov 2015 MalayAgarwal-Lee/SteeringWheelAnglePredictor/model.py 153c0f814833ed63 ran · our draft was wrong no licence file found · pointer only
arXiv:aaai_26347 bytedance/LargeBatchCTR/deepctr/layers/activation.py b425425199081002 unverified Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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