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get_loss

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

get_loss appears in the code Syntology harvested for 107 papers, as 94 distinct code bodies found in 111 places (a place is one code body under one paper). At least one of them ran in 45 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 get_loss 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 33 of the 94 distinct code bodies named get_loss; 61 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
9ran · our draft was wrong
5ran · fixture could not drive it
17ran
61unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 33 of the 111 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

100 papers shown of 107 (newest first; the JSON twin carries all 111 places); 104 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 8 papers added by Syntology; 12 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
DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models added by Syntology 2026-05 (from id) CityU-MLO/DualOptimPlus/trainer/losses.py 8619f797a24bf12e unverified no licence file found · pointer only
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster added by Syntology 2026-04 (from id) Rose-STL-Lab/u-cast/src/models/networks_edm.py 08774a8177349136 ran · our draft was wrong Apache-2.0 (permissive)
Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional nonrobustness and how to fix them added by Syntology 2026-04 (from id) frederikpahde/rrclarc/model_training/training_utils.py ced481b63e75a562 unverified BSD-3-Clause (permissive)
Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning added by Syntology 2026-04 (from id) wzekai/ORCA/code/calibrate.py 9218d0d6347d01af ran · fixture could not drive it fingerprinted MIT (permissive)
A Statistical Approach for Modeling Irregular Multivariate Time Series with Missing Observations added by Syntology 2026-02 (from id) YerevaNN/mimic3-benchmarks/mimic3models/parse_utils.py 91b4aaba848f4250 unverified MIT (permissive)
DIA-CLIP: a universal representation learning framework for zero-shot DIA proteomics added by Syntology 2026-02 (from id) YuAirLab/Alpha-Tri/Prosit/model.py 3bfad9b50b53cb13 unverified no licence file found · pointer only
Calibrating Uncertainty for Zero-Shot Adversarial CLIP added by Syntology 2025-12 (from id) VivienLu/UCAT/slip/slip_models.py 4c34821ae12949e9 ran · our draft was wrong no licence file found · pointer only
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection added by Syntology 2025-10 (from id) GIT-LJc/LogitGap/utils/id_like_loss.py 39f12edcbfe6882e unverified no licence file found · pointer only
arXiv:2507.10225 2025-07 (from id) Jarvisgivemeasuit/SynOOD/generate_near_ood_sample.py bfd7d9cb5001a5f1 unverified Apache-2.0 (permissive)
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning 2 Jun 2025 OPTML-Group/Unlearn-ILU/src/unlearn/base.py 650d5f6bfcd7d9bb ran MIT (permissive)
Selective Task Group Updates for Multi-Task Optimization 17 Feb 2025 wooseong97/sel-update-mtl/sel-update-mtl/utils/train_utils.py 32835f4d0f551b1b ran · fixture could not drive it MIT (permissive)
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond 7 Feb 2025 optml-group/unlearn-smooth/WMDP/src/unlearn/base.py 650d5f6bfcd7d9bb ran MIT (permissive)
Interpreting Transformers for Jet Tagging 4 Dec 2024 aaronw5/Interpreting-Transformers-for-Jet-Tagging/networks/ParT_drop.py 3373564a9570e6db ran · our draft was wrong no licence file found · pointer only
A Closer Look at Machine Unlearning for Large Language Models 10 Oct 2024 sail-sg/closer-look-llm-unlearning/trainer/losses.py 0605aa76e6497ba3 unverified no licence file found · pointer only
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning 9 Oct 2024 OPTML-Group/Unlearn-Simple/WMDP/src/unlearn/base.py 650d5f6bfcd7d9bb ran MIT (permissive)
Positional Attention: Expressivity and Learnability of Algorithmic Computation 2 Oct 2024 opallab/positional_attention/utils.py 57ea2937f20c00a2 ran no licence file found · pointer only
Active Learning for Neural PDE Solvers 2 Aug 2024 dmusekamp/al4pde/al4pde/models/pdebench_loss.py fea47842e6fb3089 ran licence not identified · pointer only
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation 5 Jul 2024 yxKryptonite/RAM_code/graspness_implementation/models/loss.py 40187d067ff6945f ran licence not identified · pointer only
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function 2 Jul 2024 ipsitmantri/DiTASK/mtl_loss_schemes.py 80c0c9e218ee946c ran MIT (permissive)
Active Diffusion Subsampling 20 Jun 2024 active-diffusion-subsampling/ads/losses.py d2c95d4ec2a1ad09 ran no licence file found · pointer only
Jogging the Memory of Unlearned LLMs Through Targeted Relearning Attacks 19 Jun 2024 s-huu/jog_llm_memory/synthetic/dataloader.py 650d5f6bfcd7d9bb ran Apache-2.0 (permissive)
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models 19 Jun 2024 YL-wang/GraphSAM/CoMPT-main/utils.py c75b738cd89e5474 ran no licence file found · pointer only
Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces 17 Jun 2024 yihuaihong/conceptvectors/dataloader.py 650d5f6bfcd7d9bb ran CC-BY-4.0 · pointer only
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 pp00704831/Stripformer-ECCV-2022-/models/losses.py 1542a78f6b08854f unverified licence not identified · pointer only
Deep Gaussian mixture model for unsupervised image segmentation 18 Apr 2024 matthi99/deepgmm/utils/losses.py 1f4f6ec1acd912f4 unverified no licence file found · pointer only
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning 29 Mar 2024 scale-lab/mtlora/mtl_loss_schemes.py 80c0c9e218ee946c ran MIT (permissive)
DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment 27 Mar 2024 IRMVLab/DVLO/pwclonet_model.py 3eee7cc214197560 unverified no licence file found · pointer only
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models 20 Feb 2024 yangling0818/realcompo/utils/loss_function.py 5fb5a9556099674c ran no licence file found · pointer only
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks 14 Feb 2024 jiwonsong-dev/SLEB/sleb.py 084002d7f8a76578 ran · honoured contract MIT (permissive)
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution 13 Feb 2024 AI4Science-WestlakeU/le-pde-uq/models.py 67b03a68ea84c4fe unverified MIT (permissive)
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia 8 Feb 2024 solidshen/ripple_official/src/utils/opt_utils.py 1f7716b5c735d72f unverified no licence file found · pointer only
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss 8 Feb 2024 ml-stat-sustech/convexconcaveloss/source/defenses/membership_inference/loss_function.py 95e364953588331d ran · our draft was wrong no licence file found · pointer only
Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation 30 Jan 2024 ruipingl/miss/semseg/losses.py 64cbe28bc31115b7 ran no licence file found · pointer only
Compositional Generative Inverse Design 24 Jan 2024 AI4Science-WestlakeU/cindm/le_pde/models.py 67b03a68ea84c4fe unverified MIT (permissive)
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo 22 Jan 2024 maybelx/mvsformerplusplus/models/losses.py aaa70aaf39de3e09 unverified Apache-2.0 (permissive)
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements 12 Jan 2024 yandex-research/mind-your-format/evaluate.py 8cde6f9b2356a263 ran Apache-2.0 (permissive)
TOFU: A Task of Fictitious Unlearning for LLMs 11 Jan 2024 locuslab/tofu/dataloader.py 650d5f6bfcd7d9bb ran MIT (permissive)
Optimal Transport Aggregation for Visual Place Recognition 27 Nov 2023 serizba/salad/utils/losses.py 68f14b22cb2b7f18 unverified GPL-3.0 (copyleft) · pointer only
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection 26 Nov 2023 ycfate/id-like/utils/id_like_loss.py 39f12edcbfe6882e unverified no licence file found · pointer only
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning 20 Nov 2023 LiangSiyuan21/BadCLIP/src/embeding_optimize_patch.py 56a77cf2cc05fc38 ran · our draft was wrong MIT (permissive)
AdaLomo: Low-memory Optimization with Adaptive Learning Rate 16 Oct 2023 openlmlab/lomo/lomo/src/utils.py 883d1dcb15a07e16 ran MIT (permissive)
Stochastic Gradient Descent with Preconditioned Polyak Step-size 3 Oct 2023 fxrshed/scaledsps/loss_fns.py a8ea126c291f9b06 ran no licence file found · pointer only
Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval 28 Sep 2023 pter61/context-i2w/src/trainer.py 4aefc9c8f821ec23 ran · fixture could not drive it Apache-2.0 (permissive)
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap 21 Sep 2023 naver-ai/scob/model/losses.py 3c4df4d9d222fa05 unverified licence not identified · pointer only
AccFlow: Backward Accumulation for Long-Range Optical Flow 25 Aug 2023 mulns/accflow/networks/losses.py 7cfa1a8b7a0dd16c ran MIT (permissive)
Adversarial Illusions in Multi-Modal Embeddings 22 Aug 2023 ebagdasa/adversarial_illusions/query_attack.py da99f5c09a8efea7 unverified MIT (permissive)
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models 20 Aug 2023 wengsyx/lmtuner/LMTuner/lomo.py 883d1dcb15a07e16 ran Apache-2.0 (permissive)
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals 9 Aug 2023 mandiehyewon/ssldml/utils/loss.py 92d3ddb870d0b647 ran MIT (permissive)
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification 8 Aug 2023 dongkyuk/CheXFusion/model/loss.py e498a8010ff489f0 ran MIT (permissive)
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation 12 Jul 2023 vankouf/rfenet/loss.py 15a2ac6116ad7a92 unverified no licence file found · pointer only
Personalized Federated Learning with Feature Alignment and Classifier Collaboration 20 Jun 2023 bdemo/pfedbred_public/Algorithms/pFedBreD/pFedBreD_ns/pFedBreD_ns_lg/localpFedBreD_ns_lg.py 9b0f0a1490e44f65 ran · our draft was wrong no licence file found · pointer only
A Brief Review of Hypernetworks in Deep Learning 12 Jun 2023 jmdvinodjmd/HyperITE/src/training_loop.py 4f0864055cb19cfa unverified MIT (permissive)
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models 28 May 2023 RU-System-Software-and-Security/Notable/autoprompt/create_trigger.py f614f524884546fe ran · fixture could not drive it no licence file found · pointer only
Feature-Balanced Loss for Long-Tailed Visual Recognition 18 May 2023 juyongjiang/fbl/loss.py d87e6ad3604c1727 ran · our draft was wrong no licence file found · pointer only
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction 3 Apr 2023 reczoo/FuxiCTR/model_zoo/FinalMLP/src/FinalMLP.py ea1739926fa16075 ran Apache-2.0 (permissive)
Effectively Modeling Time Series with Simple Discrete State Spaces 16 Mar 2023 hazyresearch/spacetime/loss.py 5a0876f7dc39baf5 unverified Apache-2.0 (permissive)
Delivering Arbitrary-Modal Semantic Segmentation 2 Mar 2023 jamycheung/DELIVER/semseg/losses.py 3029c24a500aea0e unverified Apache-2.0 (permissive)
The Role of Pre-training Data in Transfer Learning 27 Feb 2023 anonymousmlsubmission/datadistributiontransfer/src/models/simclr/models.py 4c34821ae12949e9 ran · our draft was wrong licence not identified · pointer only
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers 16 Feb 2023 eagle-dataset/eaglemeshtransformer/train_graphvit.py 8a184163875acd8d unverified MIT (permissive)
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control 7 Feb 2023 sulam-group/k-rcps/krcps/losses.py 66cde17e23a8cad5 unverified MIT (permissive)
Guided Depth Super-Resolution by Deep Anisotropic Diffusion 21 Nov 2022 prs-eth/diffusion-super-resolution/losses.py 6bc6ff8f55d215ca unverified MIT (permissive)
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis 28 Oct 2022 vinairesearch/selfsup_pcd/downstream/DgCnn/models/dgcnn_classification.py 5ba0b1dd0e5a0603 unverified MIT (permissive)
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation 13 Oct 2022 dfki-av/awt-for-ciss/utils/loss.py 90ca9d04a07dfe93 unverified MIT (permissive)
Some Practice for Improving the Search Results of E-commerce 30 Jul 2022 wufanyou/kdd-cup-2022-amazon/utils/loss.py 0ab4675f5f517d61 unverified MIT (permissive)
Revisiting Pretraining Objectives for Tabular Deep Learning 7 Jul 2022 kalelpark/DeepLearning-for-Tabular-Data/utils.py 95e5ab23ac9b1697 unverified Apache-2.0 (permissive)
Learning to Accelerate Partial Differential Equations via Latent Global Evolution 15 Jun 2022 snap-stanford/le_pde/models.py 67b03a68ea84c4fe unverified MIT (permissive)
How to Reduce Change Detection to Semantic Segmentation 15 Jun 2022 DoctorKey/C-3PO/src/loss.py 34d7d1bc44de2166 unverified MIT (permissive)
Differentiable Simulation of Soft Multi-body Systems 3 May 2022 yilingqiao/diff_fem/python/demo_baymax.py dc59b1fab9598e62 unverified Apache-2.0 (permissive)
Data Augmentation for Electrocardiograms 9 Apr 2022 aniruddhraghu/ecg_aug/baseline.py c8cc5d297ead6d57 unverified Apache-2.0 (permissive)
Particle Transformer for Jet Tagging 8 Feb 2022 jet-universe/particle_transformer/networks/example_ParticleTransformer.py 3373564a9570e6db ran · our draft was wrong MIT (permissive)
Quantifying disparities in intimate partner violence: a machine learning method to correct for underreporting 8 Oct 2021 epierson9/invisible-conditions/relative_prevalence_benchmark/method.py b0736ea8ef6ab93c unverified MIT (permissive)
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences 6 Oct 2021 erksch/fnet-pytorch/training/pretraining.py 8f2cc35ebde28dfb unverified MIT recorded; this copy not marked cleared · pointer only
Molecule Generation by Principal Subgraph Mining and Assembling 29 Jun 2021 thunlp-mt/ps-vae/src/generate.py c3455032a629489f ran · our draft was wrong MIT (permissive)
Teaching with Commentaries 5 Nov 2020 googleinterns/commentaries/comms-weighting.py f810cc0940b8a25a ran Apache-2.0 (permissive)
Detecting natural disasters, damage, and incidents in the wild 20 Aug 2020 ethanweber/IncidentsDataset/loss.py 480f759020fc42a0 unverified MIT (permissive)
Universal linguistic inductive biases via meta-learning 29 Jun 2020 tommccoy1/meta-learning-linguistic-biases/src/training.py cbb995366ddbecb7 unverified MIT (permissive)
Local Self-Attention over Long Text for Efficient Document Retrieval 11 May 2020 sebastian-hofstaetter/transformer-kernel-ranking/matchmaker/losses/all.py 357405f7f1963761 unverified Apache-2.0 (permissive)
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing 21 Apr 2020 ZhonghaoZ/AMP-Net_TIP/train_AMP_Net.py 2e2483e8836bf854 unverified no licence file found · pointer only
Evaluating Online Continual Learning with CALM 7 Apr 2020 germank/CALM/example.py 04093a74842c2916 ran · honoured contract fingerprinted licence not identified · pointer only
Set2Graph: Learning Graphs From Sets 20 Feb 2020 hadarser/SetToGraphPaper/main_scripts/main_jets.py 72a3836ecf2d6aee unverified Apache-2.0 (permissive)
Modeling the Background for Incremental Learning in Semantic Segmentation 3 Feb 2020 fcdl94/MiB/utils/loss.py 1d5ab3d2728d692e unverified MIT (permissive)
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition 2019-12 (from id) sithu31296/audio-tagging/utils/losses.py a70ac1a79860cc57 unverified MIT (permissive)
Implicit competitive regularization in GANs 13 Oct 2019 devzhk/Implicit-Competitive-Regularization/losses.py b3537003a80eee42 unverified Apache-2.0 (permissive)
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds 20 Sep 2019 hlei-ziyan/SPH3D-GCN/models/SPH3D_modelnet.py 55e6626308642956 unverified MIT (permissive)
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds 20 Sep 2019 hlei-ziyan/SPH3D-GCN/models/SPH3D_s3dis.py 2ad76969469f7916 unverified MIT (permissive)
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds 20 Sep 2019 hlei-ziyan/SPH3D-GCN/models/SPH3D_scannet.py ed008c22b9c21e9d unverified MIT (permissive)
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features 22 Apr 2019 KuangenZhang/ldgcnn/models/ldgcnn_classifier.py e810480a3d08027d unverified MIT (permissive)
FCOS: Fully Convolutional One-Stage Object Detection 2 Apr 2019 xytpai/fcos/detector.py bafd66dce4d45e2a ran · our draft was wrong fingerprinted MIT (permissive)
Path-Invariant Map Networks 31 Dec 2018 zaiweizhang/path_invariance_map_network/pointnet2_sem_seg.py 9229925c26b23e7e unverified BSD-3-Clause (permissive)
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes 30 Nov 2018 hjwdzh/TextureNet/src/models/texturenet.py 3780aaaf4cf88d7f unverified MIT (permissive)
Temporal Relational Ranking for Stock Prediction 25 Sep 2018 HFrost0/TGC_torch/model.py f7536769a1ebc8d0 unverified no licence file found · pointer only
UNet++: A Nested U-Net Architecture for Medical Image Segmentation 18 Jul 2018 marccoru/marinedebrisdetector/marinedebrisdetector/metrics.py 39d5aa40f8a16385 unverified MIT (permissive)
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters 30 Mar 2018 xyf513/SpiderCNN/models/spidercnn_cls.py e5aa560083378fbc unverified MIT (permissive)
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters 30 Mar 2018 xyf513/SpiderCNN/models/spidercnn_part_seg_one_hot.py ed8954d15f37f496 unverified MIT (permissive)
Local Spectral Graph Convolution for Point Set Feature Learning 15 Mar 2018 fate3439/LocalSpecGCN/classification/models/pointnet2_cls_ssg.py 2e23a50653c56a5f unverified MIT (permissive)
Local Spectral Graph Convolution for Point Set Feature Learning 15 Mar 2018 fate3439/LocalSpecGCN/part_seg/models/pointnet2_part_ssg_spec_cp_onehot.py 03666111ca711a31 unverified MIT (permissive)
On First-Order Meta-Learning Algorithms 8 Mar 2018 peisungtsai/Reptile-Pytorch-Implementation/reptile.py 1aec86f12ed5bdbf ran · fixture could not drive it no licence file found · pointer only
Focal Loss for Dense Object Detection 7 Aug 2017 xytpai/retinanet/detector.py bafd66dce4d45e2a ran · our draft was wrong fingerprinted MIT (permissive)
Multitask learning and benchmarking with clinical time series data 22 Mar 2017 Dongximing/Mimic3/mimic3models/parse_utils.py 91b4aaba848f4250 unverified MIT (permissive)
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers 6 Jun 2015 leonoravesterbacka/carl-torch/ml/functions.py 6526235e6dda16d7 unverified MIT (permissive)
arXiv:openreview_AAWlum38oE 1202kbs/AYT/src/ayt/losses.py 9f8d83859a4fd923 unverified MIT (permissive)
arXiv:ijcai2025_0872 HongxinXiang/EDG/EDG/finetune_rMD17_EDG.py 7b301beb79360058 unverified MIT (permissive)
arXiv:ijcai2025_0179 StuLiu/SCPSeg/semseg/losses.py 2b6ef0ff8f3ce5ed unverified MIT (permissive)
arXiv:aaai_6994 dlinzhao/JSNet/models/JISS/model.py 285aa5e1f05e5cb7 unverified 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".

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