Home › Code › get_activation_fn

get_activation_fn

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

get_activation_fn appears in the code Syntology harvested for 67 papers, as 32 distinct code bodies found in 68 places (a place is one code body under one paper). At least one of them ran in 34 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 get_activation_fn 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 20 of the 32 distinct code bodies named get_activation_fn; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
11ran · our draft was wrong
0ran · fixture could not drive it
9ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 25 of the 68 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

67 papers shown of 67, newest first; 68 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 15 papers added by Syntology; 3 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
Learning task-specific subspaces via interventional post-training of speech foundation models added by Syntology 2026-06 (from id) s3prl/s3prl/s3prl/upstream/distiller/model.py 6f76d015b2817409 ran · our draft was wrong Apache-2.0 (permissive)
CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts added by Syntology 2026-06 (from id) liubolab/CausalMoE/PatchTST_layers.py 72b9272542f279c6 ran no licence file found · pointer only
Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models added by Syntology 2026-05 (from id) noammajor/Models/NTP/models/layers/basics.py 6db91a5d47822c1a ran no licence file found · pointer only
A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization added by Syntology 2026-05 (from id) donglei628/sign-magnitude-pre-norm/experiments/exp5_multilayer_toy.py 5fec7274c7f22bcc ran MIT (permissive)
Temporal Patch Shuffle (TPS): Leveraging Patch-Level Shuffling to Boost Generalization and Robustness in Time Series Forecasting added by Syntology 2026-04 (from id) jafarbakhshaliyev/TPS/time_series_forecasting/layers/PatchTST_layers.py 72b9272542f279c6 ran no licence file found · pointer only
Scaling Open Discrete Audio Foundation Models with Interleaved Semantic, Acoustic, and Text Tokens added by Syntology 2026-02 (from id) BytedanceSpeech/seed-tts-eval/thirdparty/UniSpeech/WavLM/modules.py 01233f4856456c5f unverified no licence file found · pointer only
ZeroSyl: Simple Zero-Resource Syllable Tokenization for Spoken Language Modeling added by Syntology 2026-02 (from id) nicolvisser/ZeroSyl/zerosyl/zerosyl.py 591bd7145f129c23 ran · our draft was wrong MIT (permissive)
Video-based Music Generation added by Syntology 2026-02 (from id) serkansulun/video-emotion/src/beats/modules.py 01233f4856456c5f unverified no licence file found · pointer only
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2 added by Syntology 2025-10 (from id) CGCL-codes/UAP-SAM2/sam2/modeling/sam2_utils.py f2e72d81f39d65cd unverified no licence file found · pointer only
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency added by Syntology 2025-10 (from id) MazelTovy/AMRC/PatchTST/layers/PatchTST_layers.py 72b9272542f279c6 ran no licence file found · pointer only
SEMPO: Lightweight Foundation Models for Time Series Forecasting added by Syntology 2025-10 (from id) mala-lab/SEMPO/models/SEMPO.py cf01255b103815b4 ran · our draft was wrong Apache-2.0 (permissive)
Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model added by Syntology 2025-10 (from id) RuipingL/Situat3DChange/SCReasoner/model/utils.py 165417eb35c55e89 unverified CC-BY-4.0 · pointer only
Robust Ego-Exo Correspondence with Long-Term Memory added by Syntology 2025-10 (from id) juneyeeHu/LM-EEC/sam2/modeling/sam2_utils.py f2e72d81f39d65cd unverified no licence file found · pointer only
Synthetic Series-Symbol Data Generation for Time Series Foundation Models added by Syntology 2025-10 (from id) wwhenxuan/SymTime/models/pretrain_model.py bb11ef32f48c0c09 ran · our draft was wrong MIT (permissive)
ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters added by Syntology 2025-09 (from id) Luoauoa/ReNF/layers/PatchTST_layers.py 72b9272542f279c6 ran MIT (permissive)
arXiv:2507.22699 2025-07 (from id) dvttran/nsft/nsft/models/base_model.py e4b131bffbe89293 unverified MIT (permissive)
arXiv:2506.23596 2025-06 (from id) KU-VGI/AP/layers/PatchTST_layers.py 72b9272542f279c6 ran Apache-2.0 (permissive)
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention 16 Jun 2025 minimax-ai/minimax-m1/modeling_minimax_m1.py 5e3dd6e650adb72c unverified Apache-2.0 (permissive)
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video 28 Apr 2025 prisma-multimodal/vit-prisma/src/vit_prisma/sae/sae.py bd6e1088e609f3eb ran · our draft was wrong MIT (permissive)
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting 7 Apr 2025 yunlong10/CAT-V/sam2/modeling/sam2_utils.py f2e72d81f39d65cd unverified BSD-3-Clause (permissive)
Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection 4 Apr 2025 m-kruse98/multi-flow/models/MVANet.py f2e72d81f39d65cd unverified MIT (permissive)
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra 22 Feb 2025 azureleon1/molspectra/torchmdnet/models/SpecFormer_layers.py 2d15324019001de4 ran · our draft was wrong no licence file found · pointer only
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation 23 Jan 2025 rongfu-dsb/MPG-SAM2/models/sam2/modeling/sam2_utils.py f2e72d81f39d65cd unverified Apache-2.0 (permissive)
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map 16 Nov 2024 BICLab/MetaLA/metala/utils.py cc7630717878e956 unverified no licence file found · pointer only
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree 21 Oct 2024 mark12ding/sam2long/sam2/modeling/sam2_utils.py f2e72d81f39d65cd unverified no licence file found · pointer only
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example 20 Oct 2024 suhitaghosh10/ddsp-qbe/wavlm/modules.py 01233f4856456c5f unverified no licence file found · pointer only
Simultaneous Weight and Architecture Optimization for Neural Networks 10 Oct 2024 zitonghuangcynthia/Simultaneous-Weight-and-Architecture-Optimization/training_autoencoder/train_autoencoder.py 47f13a28826d6cf6 ran no licence file found · pointer only
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters 2 Oct 2024 lss-1138/SparseTSF/layers/PatchTST_layers.py 72b9272542f279c6 ran Apache-2.0 (permissive)
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation 16 Aug 2024 wzh0120/sam2-unet/sam2/modeling/sam2_utils.py f2e72d81f39d65cd unverified Apache-2.0 (permissive)
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning 15 Aug 2024 jinlab-imvr/surgical-sam-2/sam2/modeling/sam2_utils.py f2e72d81f39d65cd unverified Apache-2.0 (permissive)
Medical SAM 2: Segment medical images as video via Segment Anything Model 2 1 Aug 2024 medicinetoken/medical-sam2/sam2_train/modeling/sam2_utils.py f2e72d81f39d65cd unverified Apache-2.0 (permissive)
Score matching for bridges without learning time-reversals 22 Jul 2024 libbylbaker/forward_bridge/src/models/neuralop.py eb153707eee11c99 ran MIT (permissive)
SEED: A Simple and Effective 3D DETR in Point Clouds 15 Jul 2024 happinesslz/SEED/pcdet/models/model_utils/seed_transformer.py f2e72d81f39d65cd unverified no licence file found · pointer only
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment 3 Jun 2024 chenxiliu-hnu/timecma/layers/TS_Pos_Enc.py 72b9272542f279c6 ran no licence file found · pointer only
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting 23 Apr 2024 xiongxiaoxu/sst/layers/LWT_layers.py 72b9272542f279c6 ran no licence file found · pointer only
Multi-view Aggregation Network for Dichotomous Image Segmentation 11 Apr 2024 qianyu-dlut/mvanet/model/MVANet.py f2e72d81f39d65cd unverified MIT (permissive)
SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction 3 Mar 2024 jyansir/sersal/models/t2g.py 7627d2c02619ab87 ran · our draft was wrong MIT (permissive)
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis 3 Mar 2024 mingyue-cheng/convtimenet/TSForecasting/layers/ConvTimeNet_backbone.py 72b9272542f279c6 ran no licence file found · pointer only
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis 3 Mar 2024 mingyue-cheng/convtimenet/TSClassification/models/ConvTimeNet_backbone.py 5c170505ad8d13d2 ran no licence file found · pointer only
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators 31 Jan 2024 SJTU-DMTai/LIFT/layers/PatchTST_layers.py 72b9272542f279c6 ran no licence file found · pointer only
An Embodied Generalist Agent in 3D World 18 Nov 2023 embodied-generalist/embodied-generalist/model/utils.py 165417eb35c55e89 unverified MIT (permissive)
Multi-resolution Time-Series Transformer for Long-term Forecasting 7 Nov 2023 Yitiann/MTST/layers/PatchTST_layers.py 72b9272542f279c6 ran no licence file found · pointer only
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion 4 Nov 2023 robfiras/loco-mujoco/loco_mujoco/algorithms/common/networks.py 7efd09ca70f8e666 ran MIT (permissive)
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics 24 Oct 2023 abogatskiy/PELICAN-nano/src/layers/generic_layers.py c3b4e5ac5f9963cc ran MIT (permissive)
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift 23 Oct 2023 half111/calibration_cds/layers/PatchTST_layers.py 72b9272542f279c6 ran MIT (permissive)
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting 10 Oct 2023 lss-1138/SegRNN/layers/PatchTST_layers.py 72b9272542f279c6 ran Apache-2.0 (permissive)
Cross-modal Cognitive Consensus guided Audio-Visual Segmentation 10 Oct 2023 zhaofengshi/avs-c3n/C3N_beats/avs_scripts/avs_ms3/beats/modules.py 01233f4856456c5f unverified no licence file found · pointer only
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting 1 Oct 2023 Zeying-Gong/PatchMixer/layers/PatchTST_layers.py 72b9272542f279c6 ran MIT (permissive)
Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation 2023-09 (from id) slseanwu/beats-conformer-bart-audio-captioner/model/modules.py 01233f4856456c5f unverified Apache-2.0 (permissive)
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation 28 Sep 2023 guyyariv/TempoTokens/modules/beats/modules.py 01233f4856456c5f unverified MIT (permissive)
Unsupervised Open-Vocabulary Object Localization in Videos 18 Sep 2023 amazon-science/object-centric-vol/models/model_grouping.py 94db904018002114 ran Apache-2.0 (permissive)
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer 9 Aug 2023 ACAT-SCUT/PETformer/layers/PatchTST_layers.py 72b9272542f279c6 ran no licence file found · pointer only
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation 22 May 2023 guyyariv/AudioToken/modules/BEATs/modules.py 01233f4856456c5f unverified MIT (permissive)
Toeplitz Neural Network for Sequence Modeling 8 May 2023 Doraemonzzz/tnn-pytorch/tnn_pytorch/tno.py 9a369f7c4e13695c ran · our draft was wrong MIT (permissive)
Heterogeneous Multi-Robot Reinforcement Learning 17 Jan 2023 proroklab/hetgppo/models/gppo.py 4a6e23b2b8a26945 ran · our draft was wrong no licence file found · pointer only
BEATs: Audio Pre-Training with Acoustic Tokenizers 18 Dec 2022 phuriches/genrepasd/beats/modules.py 01233f4856456c5f unverified MIT (permissive)
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics 1 Nov 2022 abogatskiy/pelican/src/layers/generic_layers.py c3b4e5ac5f9963cc ran MIT (permissive)
Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkit 2022-10 (from id) BUTSpeechFIT/wespeaker_ssl_public/wespeaker/models/ssl/modules.py 01233f4856456c5f unverified Apache-2.0 (permissive)
Multi-Objective GFlowNets 23 Oct 2022 samuelstanton/lambo/lambo/models/shared_elements.py 79857710f232bbc6 unverified Apache-2.0 (permissive)
Bridging the Gap to Real-World Object-Centric Learning 29 Sep 2022 amazon-science/object-centric-learning-framework/ocl/neural_networks/convenience.py 1d2c0e37157e1caf unverified Apache-2.0 (permissive)
OSSGAN: Open-Set Semi-Supervised Image Generation 29 Apr 2022 raven38/ossgan/src/models/big_resnet.py 8945689abdf62ec1 ran · our draft was wrong licence not identified · pointer only
Boosting Self-Supervised Embeddings for Speech Enhancement 7 Apr 2022 khhungg/BSSE-SE/models/modules.py 01233f4856456c5f unverified MIT (permissive)
UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022 2022-04 (from id) sarulab-speech/utmos22/strong/modules.py 01233f4856456c5f unverified MIT (permissive)
GradMax: Growing Neural Networks using Gradient Information 13 Jan 2022 google-research/growneuron/growneuron/layers.py f5060e86ebb597e4 unverified Apache-2.0 (permissive)
Multimeasurement Generative Models 18 Dec 2021 nnaisense/mems/src/mems/archs/resnet.py 8ba4f0d9f8238d90 unverified BSD-3-Clause (permissive)
Revisiting Deep Learning Models for Tabular Data 22 Jun 2021 jrzaurin/pytorch-widedeep/pytorch_widedeep/models/_get_activation_fn.py 755bddefe05fb03e unverified Apache-2.0 (permissive)
SimCSE: Simple Contrastive Learning of Sentence Embeddings 18 Apr 2021 jeongukjae/KR-BERT-SimCSE/model.py f16e63fb25fd4d54 ran · our draft was wrong MIT (permissive)
arXiv:aaai_29295 Jack24658735/FedLGT/models/utils.py efb77cb95297b034 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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections