| CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy Labels added by Syntology |
2026-05 (from id) |
identical code first harvested elsewhere 4dcf06ba28983266 |
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| A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation added by Syntology |
2026-05 (from id) |
sjmeis/DP-Decompose-Distribute/eval_scripts/adaptive_attacker.py fd41c5fa76336833 |
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| Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise added by Syntology |
2026-04 (from id) |
YuanjieSh/CMRM/Multi_code_synthetic_noise/train/losses.py 4dcf06ba28983266 |
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| FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants added by Syntology |
2026-03 (from id) |
bhosalems/FairLLaVA/llava/model/language_model/llava_llama.py c48f90c323496675 |
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| Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning added by Syntology |
2026-03 (from id) |
doem97/metalora/utils/losses.py 4dcf06ba28983266 |
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| CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs |
19 May 2025 |
case-lab-umd/llm-auditing-coin/3_Block2Answer/train/loss_func.py d00ea9e4c5542ee7 |
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| Single-Channel EEG Tokenization Through Time-Frequency Modeling |
22 Feb 2025 |
Jathurshan0330/TFM-Tokenizer/utils/utils.py 4156bae98d1b1972 |
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| Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition |
28 Oct 2024 |
Keke921/GNM-PT/loss.py 1b3f82e6c53766e7 |
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| BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities |
18 Oct 2024 |
haoosz/BiGR/bae/binarylatent.py 3164da5cbc56c361 |
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| LTRL: Boosting Long-tail Recognition via Reflective Learning |
17 Jul 2024 |
fistyee/LTRL/model/loss.py 4dcf06ba28983266 |
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| Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model |
18 Jun 2024 |
shijxcs/candle/trainers/losses.py 4dcf06ba28983266 |
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| Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration |
10 Jun 2024 |
yuanjiesh/rc3p/train/losses.py 4dcf06ba28983266 |
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| Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning |
7 Jun 2024 |
yilinliu77/nvdnet/python/model.py b20bcef51505bcf4 |
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| Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning |
20 May 2024 |
Gank0078/FineSSL/utils/losses.py 4dcf06ba28983266 |
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| DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection |
3 Apr 2024 |
tumftm/dpft/src/dprt/training/loss.py abd213a9f852803b |
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Apache-2.0 (permissive) |
| ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning |
29 Mar 2024 |
clovaai/ECLIPSE/continual/method_wrapper/loss.py b9edb542ddeedb32 |
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| Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model |
28 Mar 2024 |
zhicaiwww/diff-mix/downstream_tasks/losses.py 8770a72903df63a4 |
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| Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss |
8 Feb 2024 |
ml-stat-sustech/convexconcaveloss/source/defenses/membership_inference/loss_function.py b6c954a2933604c5 |
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| BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos |
30 Nov 2023 |
Pilhyeon/BAM-DETR/bam_detr/misc.py fd215ad1001ab061 |
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| Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources |
6 Nov 2023 |
tmlr-group/atol/utils/losses.py 4dcf06ba28983266 |
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| Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection |
4 Oct 2023 |
xydong127/rqgnn/lossfunc.py 128bf43313aa9f8a |
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| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts |
18 Sep 2023 |
shijxcs/LIFT/utils/losses.py 4dcf06ba28983266 |
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| Referring Image Segmentation Using Text Supervision |
28 Aug 2023 |
fawnliu/tris/model/model_stage1.py cb29cf6c7fa94676 |
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| Class-Imbalanced Graph Learning without Class Rebalancing |
27 Aug 2023 |
zhiningliu1998/bat/baselines/renode.py 6ccd040c4ef8720b |
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| MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition |
19 Aug 2023 |
fistyee/mdcs/model/loss.py 4dcf06ba28983266 |
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| On the Transition from Neural Representation to Symbolic Knowledge |
3 Aug 2023 |
chengjunyan1/TDL/TAE.py c1900ff852f0930d |
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| Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration |
7 Jun 2023 |
emasa/balpoe-calibratedlt/model/loss.py 4dcf06ba28983266 |
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| OVO: Open-Vocabulary Occupancy |
25 May 2023 |
dzcgaara/OVO/ovo/loss/mask_matching_loss.py 3a8c2b6651437097 |
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Apache-2.0 (permissive) |
| Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment |
19 May 2023 |
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| Feature-Balanced Loss for Long-Tailed Visual Recognition |
18 May 2023 |
juyongjiang/fbl/loss.py 1b3f82e6c53766e7 |
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| Decoupled Training for Long-Tailed Classification With Stochastic Representations |
19 Apr 2023 |
kaidic/LDAM-DRW/losses.py 4dcf06ba28983266 |
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MIT (permissive) |
| Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation |
3 Apr 2023 |
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| TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation |
17 Mar 2023 |
devavratTomar/TeSLA/losses/seg_losses.py 0748e29a637d95ec |
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| Revisiting adversarial training for the worst-performing class |
17 Feb 2023 |
lions-epfl/class-focused-online-learning-code/cfol/focal_loss.py 4bebda9ddfdffe0a |
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MIT (permissive) |
| MovieCLIP: Visual Scene Recognition in Movies |
20 Oct 2022 |
usc-sail/mica-MovieCLIP/losses/loss_functions.py 4bebda9ddfdffe0a |
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| Behavior Transformers: Cloning $k$ modes with one stone |
22 Jun 2022 |
notmahi/bet/models/libraries/loss_fn.py f840d01c761c3844 |
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| Masked-attention Mask Transformer for Universal Image Segmentation |
2 Dec 2021 |
DdeGeus/Mask2Former-IBS/mask2former/modeling/criterion.py 2bb4c1887f16e1ba |
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| Topology-Imbalance Learning for Semi-Supervised Node Classification |
8 Oct 2021 |
victorchen96/renode/transductive/imb_loss.py 6ccd040c4ef8720b |
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| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition |
20 Jul 2021 |
Vanint/TADE-AgnosticLT/model/loss.py 4dcf06ba28983266 |
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| Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation |
12 May 2021 |
L-A-Sandhu/Swin-Unet-/src/swin_transformer/AUC_LOSS.py dc39ed696312e230 |
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| DeepI2P: Image-to-Point Cloud Registration via Deep Classification |
8 Apr 2021 |
lijx10/DeepI2P/models/focal_loss.py 36d967d4eb8179d5 |
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MIT (permissive) |
| One-Shot Medical Landmark Detection |
8 Mar 2021 |
Curli-quan/oneshot-medical-landmark/scripts/self_train.py eb19c575ed458088 |
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| Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data |
3 Nov 2020 |
Mvrjustid/IMWUT-Hierarchical-HAR-PBD/code/utils.py 6853f6c77c17fc20 |
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| Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection |
22 Oct 2020 |
lucastabelini/LaneATT/lib/focal_loss.py 2e1fffb767af25e4 |
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| TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model |
10 Jun 2020 |
BoPang1996/TubeTK/network/focal_loss.py 0d548c0e307771fa |
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| SEKD: Self-Evolving Keypoint Detection and Description |
9 Jun 2020 |
aliyun/Self-Evolving-Keypoint-Demo/loss/loss_focal.py deb13554676659ec |
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| Single-Stage Semantic Segmentation from Image Labels |
16 May 2020 |
visinf/1-stage-wseg/models/stage_net.py cb29cf6c7fa94676 |
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| UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation |
19 Apr 2020 |
hamidriasat/UNet-3-Plus/losses/loss.py 7b23f6df494f23b1 |
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| Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data |
11 Apr 2020 |
EIDOSlab/unveiling-covid19-from-cxr/train-covid-classifier.py 04198a019f317705 |
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| End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning |
21 Mar 2020 |
cjy1992/detect-loc-map/perception_driving/networks/sequential_latent_pixor_network.py 67e87c930497a29b |
unverified |
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| Detection in Crowded Scenes: One Proposal, Multiple Predictions |
20 Mar 2020 |
Purkialo/CrowdDet/lib/det_oprs/loss_opr.py f2466bea04ccb88b |
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MIT (permissive) |
| Learning Modulated Loss for Rotated Object Detection |
19 Nov 2019 |
Mrqianduoduo/RSDet-8P-4R/libs/losses/losses.py e57f95591345ae49 |
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Apache-2.0 (permissive) |
| FreeAnchor: Learning to Match Anchors for Visual Object Detection |
5 Sep 2019 |
zhangxiaosong18/FreeAnchor/maskrcnn_benchmark/modeling/rpn/free_anchor_loss.py b4392a86bb773ddd |
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| Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss |
18 Jun 2019 |
ihaeyong/maximum-margin-ldam/losses.py 4dcf06ba28983266 |
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MIT (permissive) |
| Objects as Points |
16 Apr 2019 |
xuannianz/keras-CenterNet/losses.py ca7ad1a4c7d4631d |
unverified |
Apache-2.0 (permissive) |
| FCOS: Fully Convolutional One-Stage Object Detection |
2 Apr 2019 |
srihari-humbarwadi/tensorflow_fcos/tensorflow_fcos/models/fcos/losses.py fce50f2fda34fc22 |
unverified |
Apache-2.0 (permissive) |
| Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression |
20 Mar 2019 |
mauriceqch/pcc_geo_cnn/src/focal_loss.py 427c81f065a9770a |
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MIT (permissive) |
| ParticleNet: Jet Tagging via Particle Clouds |
22 Feb 2019 |
hqucms/weaver-core/weaver/nn/loss/focal.py 22cdb78ad8aed2f6 |
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MIT (permissive) |
| Class-Balanced Loss Based on Effective Number of Samples |
16 Jan 2019 |
vandit15/Class-balanced-loss-pytorch/class_balanced_loss.py c32ccdb4e101c470 |
unverified |
MIT (permissive) |
| Representation Learning with Contrastive Predictive Coding |
10 Jul 2018 |
ex4sperans/freesound-classification/networks/losses.py 25b22350f74af590 |
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Apache-2.0 (permissive) |
| Learning a Discriminative Feature Network for Semantic Segmentation |
25 Apr 2018 |
YuhuiMa/DFN-tensorflow/losses.py 8acbd47e113d2681 |
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Apache-2.0 (permissive) |
| Focal Loss for Dense Object Detection |
7 Aug 2017 |
daveboat/pytorch_focal_loss/focalloss.py 6f5a902a2510561a |
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| Focal Loss for Dense Object Detection |
7 Aug 2017 |
AdeelH/pytorch-multi-class-focal-loss/focal_loss.py aa6467d64911f0e4 |
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MIT (permissive) |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
Jo-dsa/SemanticSeg/src/model.py 3c8319d0c4370678 |
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| arXiv:openreview_mJr1VDMOf2 |
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Nebulae411/DGG-HMR/models/criterion.py a7e2bec8d2a4e3cf |
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| arXiv:Aimar_Balanced_Product_of_Calibrated_Experts_for_Long-Tailed_Recognition_CVPR_2023_paper |
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emasa/BalPoE-CalibratedLT/model/loss.py 4dcf06ba28983266 |
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