Home › Code › drop_connect

drop_connect

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

drop_connect appears in the code Syntology harvested for 73 papers, as 17 distinct code bodies found in 79 places (a place is one code body under one paper). At least one of them ran in 66 of the papers; 3 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 drop_connect 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 11 of the 17 distinct code bodies named drop_connect; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
8ran · fixture could not drive it
2ran
6unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 79 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

73 papers shown of 73, newest first; 79 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 4 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
Breaking the Compression Barrier: Cross-Architecture Compression Boundary Learning via Reverse Regrowth added by Syntology 2026-08 (from id) EnumaCaliber/BRIDGE/models/efficientnet.py 4304a326c593f8db ran fingerprinted no licence file found · pointer only
When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift added by Syntology 2026-06 (from id) megvii-research/CADDM/backbones/efficientnet_pytorch/utils.py 2dd5dfa94542911e ran · fixture could not drive it Apache-2.0 (permissive)
Domain-Skewed Federated Learning with Feature Decoupling and Calibration added by Syntology 2026-03 (from id) mala-lab/F2DC/backbone/efficientnet.py 4304a326c593f8db ran fingerprinted Apache-2.0 (permissive)
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes added by Syntology 2025-11 (from id) decile-team/cords/cords/utils/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
arXiv:2507.06262 2025-07 (from id) cats1520cakes/Q-Detection-A-Quantum-Classical-Hybrid-Poisoning-Attack-Detection-Method/models/efficientnet.py 4304a326c593f8db ran fingerprinted no licence file found · pointer only
Rethinking Continual Learning with Progressive Neural Collapse 30 May 2025 Continue-Edge-AI-Lab/ProNC/backbone/EfficientNet.py f1e3c822763f3ebb ran MIT (permissive)
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead 10 Feb 2025 kuangliu/pytorch-cifar/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices 8 Dec 2024 jyzgh/DapperFL/fedml_api/standalone/domain_generalization/backbone/efficientnet.py 4304a326c593f8db ran fingerprinted Apache-2.0 (permissive)
Continual Learning in the Frequency Domain 9 Oct 2024 EMLS-ICTCAS/CLFD/backbone/EfficientNet.py f1e3c822763f3ebb ran MIT (permissive)
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning 22 Jul 2024 aimagelab/mammoth/backbone/EfficientNet.py f1e3c822763f3ebb ran MIT (permissive)
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges 5 Jun 2024 NohyunKi/BWS/model/efficientnet.py 4304a326c593f8db ran fingerprinted no licence file found · pointer only
Continual Learning with Weight Interpolation 5 Apr 2024 jedrzejkozal/weight-interpolation-cl/backbone/EfficientNet.py f1e3c822763f3ebb ran MIT (permissive)
A Unified and General Framework for Continual Learning 20 Mar 2024 joey-wang123/CL-refresh-learning/backbone/EfficientNet.py f1e3c822763f3ebb ran MIT (permissive)
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection 4 Mar 2024 qingyuliu/exposing-the-deception/models/MI_Net.py d3319e3d34ca90ca ran · fixture could not drive it Apache-2.0 (permissive)
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning 3 Feb 2024 jenine-321/genface/model/efficient_net/efficientnet_pytorch/utils.py d3319e3d34ca90ca ran · fixture could not drive it no licence file found · pointer only
Optimizing Neural Networks with Gradient Lexicase Selection 19 Dec 2023 ld-ing/gradient-lexicase/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models 4 Nov 2023 optml-group/bibaddiff/classifier/models/efficientnet.py 4304a326c593f8db ran fingerprinted no licence file found · pointer only
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection 31 Oct 2023 lartpang/zoomnext/methods/backbone/efficientnet_utils.py d3319e3d34ca90ca ran · fixture could not drive it no licence file found · pointer only
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer 11 Oct 2023 ZackZikaiXiao/FedGraB/model/effutil.py f1e3c822763f3ebb ran no licence file found · pointer only
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis 6 Oct 2023 kuangliu/pytorch-CIFAR/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Chunking: Continual Learning is not just about Distribution Shift 3 Oct 2023 tlee43/chunking-setting/backbone/EfficientNet.py f1e3c822763f3ebb ran no licence file found · pointer only
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning 28 Sep 2023 wenkehuang/fccl/fccl+/backbone/efficientnet.py 4304a326c593f8db ran fingerprinted no licence file found · pointer only
Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator 31 Aug 2023 xlwangdev/hc-net/models/efficientnet_pytorch/utils.py d3319e3d34ca90ca ran · fixture could not drive it no licence file found · pointer only
Fast Adversarial Training with Smooth Convergence 24 Aug 2023 FAT-CS/ConvergeSmooth/models/efficientnet.py 4304a326c593f8db ran fingerprinted no licence file found · pointer only
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels 23 Aug 2023 Cralence/SILT/model/backbone/efficientnet_pytorch/utils.py d3319e3d34ca90ca ran · fixture could not drive it no licence file found · pointer only
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses 7 Aug 2023 lafeat/apbench/nets/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning 1 Aug 2023 Immortalise/RiFT/models/efficientnet.py 4304a326c593f8db ran fingerprinted no licence file found · pointer only
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability 15 Jul 2023 cgcl-codes/transferattacksurrogates/TransferAttack/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Training on Thin Air: Improve Image Classification with Generated Data 24 May 2023 yongchao97/diffusion_inversion/src/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose 18 May 2023 Gorilla-Lab-SCUT/MAST/MAST/models/efficientnet_utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
LAVA: Data Valuation without Pre-Specified Learning Algorithms 28 Apr 2023 ruoxi-jia-group/lava/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Regularizing Second-Order Influences for Continual Learning 20 Apr 2023 feifeiobama/InfluenceCL/backbone/EfficientNet.py f1e3c822763f3ebb ran MIT (permissive)
UNICORN: A Unified Backdoor Trigger Inversion Framework 5 Apr 2023 ru-system-software-and-security/unicorn/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms 22 Feb 2023 ruoxi-jia-group/asset/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
DIVISION: Memory Efficient Training via Dual Activation Precision 5 Aug 2022 guanchuwang/division/cifar_models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Dual Representation Learning for Out-of-Distribution Detection 19 Jun 2022 lawliet-zzl/drl/code/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification 17 Jun 2022 cambridge-mlg/fit/src/efficientnet_utils.py d3319e3d34ca90ca ran · fixture could not drive it MIT (permissive)
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information 11 Apr 2022 reds-lab/narcissus/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability 10 Mar 2022 CVMI-Lab/KDEP/src/efficientnet_utils.py d3319e3d34ca90ca ran · fixture could not drive it Apache-2.0 (permissive)
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition 5 Mar 2022 dqshuai/metaformer/models/MBConv.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
AutoBalance: Optimized Loss Functions for Imbalanced Data 4 Jan 2022 ucr-optml/autobalance/models/utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
Projected GANs Converge Faster 1 Nov 2021 dome272/ProjectedGAN-pytorch/projected_gan.py ed953cd5fd3a44c8 ran · fixture could not drive it MIT (permissive)
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? 12 Oct 2021 sgvaze/osr_closed_set_all_you_need/models/miscel_utils.py d3319e3d34ca90ca ran · fixture could not drive it MIT (permissive)
YOLOP: You Only Look Once for Panoptic Driving Perception 25 Aug 2021 datvuthanh/HybridNets/hybridnets/model.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators 23 Aug 2021 lawliet-zzl/fig/code_FIG/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Combining EfficientNet and Vision Transformers for Video Deepfake Detection 6 Jul 2021 davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection/cross-efficient-vit/efficient_net/efficientnet_pytorch/utils.py d3319e3d34ca90ca ran · fixture could not drive it MIT (permissive)
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation 6 Jul 2021 alsgkals2/CoReD_Released/utils.py f1e3c822763f3ebb ran MIT (permissive)
Memory Efficient Meta-Learning with Large Images 2 Jul 2021 cambridge-mlg/LITE/src/efficientnet_utils.py d3319e3d34ca90ca ran · fixture could not drive it MIT (permissive)
Adversarial Examples Make Strong Poisons 21 Jun 2021 lhfowl/adversarial_poisons/poison_evaluation/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning 7 Jun 2021 thlarsen13/thlarsen_uncertainty_models/uncertainty_baselines/models/efficientnet_utils.py 48ffc519251345a8 unverified Apache-2.0 (permissive)
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models 1 Jun 2021 KRLGroup/memory-wrap/paper/architectures/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction 23 Apr 2021 Merrical/DAR/EfficientNet_2d/utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection 20 Apr 2021 wangjk666/M2TR-Multi-modal-Multi-scale-Transformers-for-Deepfake-Detection/M2TR/models/efficientnet.py 45eada2b88e70500 unverified MIT (permissive)
Multi-attentional Deepfake Detection 3 Mar 2021 yoctta/multiple-attention/models/MAT.py 2dd5dfa94542911e ran · fixture could not drive it no licence file found · pointer only
AlphaNet: Improved Training of Supernets with Alpha-Divergence 16 Feb 2021 facebookresearch/AttentiveNAS/models/attentive_nas_dynamic_model.py 6053cb1369b46c73 ran · fixture could not drive it licence not identified · pointer only
FSD50K: An Open Dataset of Human-Labeled Sound Events 1 Oct 2020 SarthakYadav/GISE-51-pytorch/src/models/efficientnet_pytorch/utils.py d3319e3d34ca90ca ran · fixture could not drive it MIT (permissive)
BOP Challenge 2020 on 6D Object Localization 15 Sep 2020 azad96/cosypose-custom/cosypose/models/efficientnet_utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
CosyPose: Consistent multi-view multi-object 6D pose estimation 19 Aug 2020 princeton-vl/coupled-iterative-refinement/pose_models/efficientnet_utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
T-GD: Transferable GAN-generated Images Detection Framework 10 Aug 2020 cutz-j/T-GD/models/utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
Smooth Adversarial Training 25 Jun 2020 cihangxie/SmoothAdversarialTraining/EfficientNet/utils.py d63756c8fcf336f4 unverified MIT (permissive)
Neural Architecture Transfer 12 May 2020 human-analysis/neural-architecture-transfer/codebase/networks/natnet.py 7028564474e3fefd unverified no licence file found · pointer only
Designing Network Design Spaces 30 Mar 2020 ZHANGHeng19931123/MutualGuide/models/backbone/efficientnet_backbone.py 45eada2b88e70500 unverified MIT (permissive)
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks 26 Feb 2020 ksandeshk/spatial-vs-robustness/stdcnn/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
Towards Robust and Reproducible Active Learning Using Neural Networks 21 Feb 2020 acl21/deep-active-learning-pytorch/pycls/utils/net.py 79583b4154444ddf ran · our draft was wrong fingerprinted MIT (permissive)
YOLACT++: Better Real-time Instance Segmentation 3 Dec 2019 SpaceView/Yolact_EfficientNet/efficientnet/utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
YOLACT++: Better Real-time Instance Segmentation 3 Dec 2019 kaylode/Clothes-Segmentation/efficient_utils.py 1667bcdf49534735 ran · fixture could not drive it MIT (permissive)
Leveraging Procedural Generation to Benchmark Reinforcement Learning 3 Dec 2019 rgilman33/carlita/efficientnet_utils.py d3319e3d34ca90ca ran · fixture could not drive it MIT recorded; this copy not marked cleared · pointer only
EfficientDet: Scalable and Efficient Object Detection 20 Nov 2019 sevakon/efficientdet/model/efficientnet/utils.py 2dd5dfa94542911e ran · fixture could not drive it MIT (permissive)
EfficientDet: Scalable and Efficient Object Detection 20 Nov 2019 Jintao-Huang/EfficientDet_PyTorch/models/efficientnet.py 53d13d88994382df ran · fixture could not drive it Apache-2.0 (permissive)
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency 12 Aug 2019 vaapopescu/gradient-pruning/models/efficientnet.py b1ba3f72f7fe5886 unverified MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 facebookresearch/ClassyVision/classy_vision/models/efficientnet.py 01ef2c316f547d5d ran · fixture could not drive it fingerprinted MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 shijianjian/efficientnet-pytorch-3d/efficientnet_pytorch_3d/model.py 4e82aac968b327d5 ran · fixture could not drive it Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0/utils/efficientnet_pytorch/model.py 1667bcdf49534735 ran · fixture could not drive it MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 Jintao-Huang/EfficientNet_PyTorch/models/efficientnet.py 53d13d88994382df ran · fixture could not drive it Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 facebookresearch/pycls/pycls/models/effnet.py 79583b4154444ddf ran · our draft was wrong fingerprinted MIT (permissive)
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks 23 Aug 2018 qubvel/segmentation_models.pytorch/segmentation_models_pytorch/encoders/_efficientnet.py 7366397639253b99 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 vineeths96/Gradient-Compression/models/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (permissive)
arXiv:aaai_32254 HongsinLee/FLAIR/backbone/EfficientNet.py f1e3c822763f3ebb ran MIT (permissive)
arXiv:Huang_Boosting_Accuracy_and_Robustness_of_Student_Models_via_Adaptive_Adversarial_CVPR_2023_paper boyellow/AdaAD/networks/efficientnet.py 4304a326c593f8db ran fingerprinted MIT (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