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huber_loss

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

huber_loss appears in the code Syntology harvested for 34 papers, as 27 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; 11 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 huber_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 16 of the 27 distinct code bodies named huber_loss; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
1ran · violated contract
5ran · our draft was wrong
0ran · fixture could not drive it
7ran
11unverified
11fingerprinted

Licence is a property of each copy, so it is counted per place: 9 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 2 papers added by Syntology. 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
Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization added by Syntology 2026-08 (from id) identical code first harvested elsewhere b2591cd2d6a28012 ran · violated contract fingerprinted licence of this copy not recorded
Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts added by Syntology 2025-12 (from id) zq2r/DROCO/algo/offline_offline/droco.py ad44a67c8db05805 ran · our draft was wrong fingerprinted MIT (permissive)
Guided Diffusion Sampling on Function Spaces with Applications to PDEs 22 May 2025 neuraloperator/fundps/generation/dps.py ab891ef221209094 ran · our draft was wrong fingerprinted MIT (permissive)
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules 17 Mar 2025 thu-yao-01-luo/multipowerlaw/src/utils.py 72abd9f687e8eaaa unverified MIT (permissive)
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions 1 Nov 2024 MIRALab-USTC/RL-TRACER/algo/model_free/tracer.py d52eb4ad208682cb ran · our draft was wrong fingerprinted MIT (permissive)
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws 15 Oct 2024 yidingjiang/ado/src/data_selectors/ado.py b2591cd2d6a28012 ran · violated contract fingerprinted no licence file found · pointer only
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning 14 Oct 2024 harwiltz/distributional-superiority/dsup/losses.py 08c72ea04118d880 ran MIT (permissive)
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization 5 Aug 2024 buaacyw/meshanythingv2/meshanything_train/misc.py 03c93e1bacbbbf89 ran fingerprinted licence not identified · pointer only
Local All-Pair Correspondence for Point Tracking 22 Jul 2024 cvlab-kaist/locotrack/locotrack_pytorch/model_utils.py 08fd9996236d683e unverified Apache-2.0 (permissive)
Local All-Pair Correspondence for Point Tracking 22 Jul 2024 cvlab-kaist/locotrack/locotrack/utils/model_utils.py acafb736be892385 unverified Apache-2.0 (permissive)
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction 28 May 2024 HKUDS/FlashST/lib/metrics.py 0e86124fe7fa990b ran Apache-2.0 (permissive)
Zero-Shot Tokenizer Transfer 13 May 2024 bminixhofer/zett/zett/utils.py 5e0f65316506050d ran no licence file found · pointer only
Dexterous Grasp Transformer 2024-04 (from id) iSEE-Laboratory/DGTR/model/loss/grasp_loss.py 03c93e1bacbbbf89 ran fingerprinted MIT (permissive)
N-Agent Ad Hoc Teamwork 16 Apr 2024 carolinewang01/naht/src/learners/poam_learner.py 317a7486c52962a6 ran · our draft was wrong fingerprinted MIT (permissive)
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis 21 Mar 2024 sarroccoluigi/combinerf/loss.py 00979fadb02bf8df ran fingerprinted MIT (permissive)
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation 15 Mar 2024 lolrudy/KP-RED/modules/functional/loss.py 42db47cf9f8ecf5d ran fingerprinted Apache-2.0 (permissive)
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis 27 Feb 2024 tangtaogo/alignmif/lidarnerf/loss.py 00979fadb02bf8df ran fingerprinted MIT (permissive)
Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement 9 Feb 2024 morning9393/etpo/etpo/utils/util.py 317a7486c52962a6 ran · our draft was wrong fingerprinted no licence file found · pointer only
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection 10 Jan 2024 tingxueronghua/dpke/models/loss_helper_unlabeled.py bd237d8a9c8b33f6 ran · our draft was wrong fingerprinted no licence file found · pointer only
Bias Amplification Enhances Minority Group Performance 13 Sep 2023 motivationss/bam/utils.py b87d45353a72914f ran no licence file found · pointer only
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields 20 Apr 2023 tangtaogo/lidar-nerf/lidarnerf/loss.py 00979fadb02bf8df ran fingerprinted MIT (permissive)
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement 3 Mar 2023 ashawkey/nerf2mesh/loss.py 00979fadb02bf8df ran fingerprinted MIT (permissive)
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models 23 Feb 2023 nianticlabs/diffusionerf/loss.py 00979fadb02bf8df ran fingerprinted MIT (permissive)
Unifying Vision, Text, and Layout for Universal Document Processing 5 Dec 2022 DS4SD/MarkushGrapher/markushgrapher/core/trainers/losses.py a83a110a9551382d unverified MIT (permissive)
Point Scene Understanding via Disentangled Instance Mesh Reconstruction 31 Mar 2022 ashawkey/dimr/model/rfs.py 3e37ecc673899eb2 unverified Apache-2.0 (permissive)
Faster Deep Reinforcement Learning with Slower Online Network 10 Dec 2021 amazon-research/fast-rl-with-slow-updates/dopamine/jax/losses.py af103360bcc90e53 unverified Apache-2.0 (permissive)
Vision-Only Robot Navigation in a Neural Radiance World 2021-10 (from id) mikh3x4/nerf-navigation/loss.py 00979fadb02bf8df ran fingerprinted MIT (permissive)
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization 2021-09 (from id) wenxinzhou/conquer/conquer/joint.py 88fde780024a2ac5 ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies 15 Aug 2019 fstrnad/pyDRLinWESM/DeepReinforcementLearning/DQNNetworks.py 531264c237c944b4 unverified BSD-2-Clause (permissive)
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection 5 Mar 2019 zhixinwang/frustum-convnet/models/model_util.py f6eae958a22ae877 unverified MIT (permissive)
Orthographic Feature Transform for Monocular 3D Object Detection 20 Nov 2018 tom-roddick/oft/oft/model/loss.py 0b86ddb1ed52bd06 unverified MIT (permissive)
ArtTrack: Articulated Multi-person Tracking in the Wild 5 Dec 2016 PJunhyuk/exercise-pose-analyzer/nnet/losses.py 582847866fc1e8a4 unverified Apache-2.0 (permissive)
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 brett-daley/fast-dqn/fast_dqn/worker.py ed625c2fac5f95ea ran · honoured contract fingerprinted MIT (permissive)
Dueling Network Architectures for Deep Reinforcement Learning 20 Nov 2015 jsztompka/DuelDQN/custom_loss.py 1248c71a0df5e5fa unverified MIT (permissive)
Playing Atari with Deep Reinforcement Learning 19 Dec 2013 KavindaKottege/DeepQ-Pong/DeepQ-Pong.py eaf9a525f0459416 ran · honoured contract no licence file found · pointer only

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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