| Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods added by Syntology |
2026-09 (from id) |
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| Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator |
22 May 2025 |
ml-stat-Sustech/Disagreement-Aware-Calibration/calibration/optimization.py fa545644bf2117e7 |
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| Open Set Label Shift with Test Time Out-of-Distribution Reference |
9 May 2025 |
ChangkunYe/OpenSetLabelShift/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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MIT (permissive) |
| ContextGNN: Beyond Two-Tower Recommendation Systems |
29 Nov 2024 |
kumo-ai/ContextGNN/benchmark/relbench_multi_vae.py 2fa173e988b208d2 |
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MIT (permissive) |
| Going Beyond Conventional OOD Detection |
16 Nov 2024 |
sudarshanregmi/ascood/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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MIT (permissive) |
| Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability |
22 Oct 2024 |
ai-chem/gemcode/generative_models/TVAE/train_VAE/train_phys.py b0f7d8326b02cb76 |
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| Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement |
29 Sep 2024 |
clear-nus/selective-amnesia/vae/model.py 372b74ad7eb6ab5d |
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MIT (permissive) |
| HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models |
24 Sep 2024 |
quehry/hellobench/regression.py 1df239616be9f69a |
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MIT (permissive) |
| OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction |
18 Jul 2024 |
hkust-nisl/oat_eccv24/src/model/positionalEncodingLearned.py a46671905c186496 |
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| LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models |
12 Jul 2024 |
ybzh/openood-vlm/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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MIT (permissive) |
| Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models |
19 Jun 2024 |
YL-wang/GraphSAM/CoMPT-main/train_node.py b8314ecc65eda7d0 |
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| A De-singularity Subgradient Approach for the Extended Weber Location Problem |
11 May 2024 |
laizhr/qPWAWS/Pytorch_module/simple_example_Pytorch.py a88816beeda27b00 |
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| A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? |
2 Apr 2024 |
glhr/ood-labelnoise/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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| Counterfactually Fair Representation |
9 Nov 2023 |
osu-srml/cf_representation_learning/CVAE/utils.py 9fedb529a0b04ef9 |
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| Gradual Domain Adaptation: Theory and Algorithms |
20 Oct 2023 |
yifei-he/goat/train_model.py 206142c1def9d0e8 |
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| Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue |
11 Oct 2023 |
qinlang14/GATE/KnowledgeSelection/GATEModel/model.py 05cc4886d4a3c5eb |
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| Staged Contact-Aware Global Human Motion Forecasting |
16 Sep 2023 |
l-scofano/stag/s1_cont_est_train.py b67ee04dd553e3b9 |
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| Staged Contact-Aware Global Human Motion Forecasting |
16 Sep 2023 |
l-scofano/stag/s2_traj_train.py 9b99be6b6933199d |
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| Staged Contact-Aware Global Human Motion Forecasting |
16 Sep 2023 |
l-scofano/stag/s3_pose_train.py 503114130715f458 |
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| Learning from Integral Losses in Physics Informed Neural Networks |
27 May 2023 |
sabagh1994/pgvae/pgvae/pgvae.py 2504e9dac439c88a |
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| SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection |
25 Mar 2023 |
zjysteven/sio/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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MIT (permissive) |
| Kernel Density Bayesian Inverse Reinforcement Learning |
13 Mar 2023 |
bee-hive/kdbirl_public/sepsis_vae.py 94acd00d08843f12 |
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MIT (permissive) |
| Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism |
4 Mar 2023 |
pku-ml/rank-differential-mechanism/imagenet/main_simsiam.py bdc4977b50394a14 |
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MIT (permissive) |
| Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention |
11 Nov 2022 |
monstersecond/dasbe/dasbe/bcdae.py 54b4a90afc252038 |
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MIT (permissive) |
| OpenOOD: Benchmarking Generalized Out-of-Distribution Detection |
13 Oct 2022 |
antoinedemathelin/openood/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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MIT (permissive) |
| Contact-aware Human Motion Forecasting |
8 Oct 2022 |
wei-mao-2019/contawaremotionpred/exp_gta_stage1_cont.py b67ee04dd553e3b9 |
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MIT (permissive) |
| Contact-aware Human Motion Forecasting |
8 Oct 2022 |
wei-mao-2019/contawaremotionpred/exp_gta_stage2_pose.py 503114130715f458 |
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MIT (permissive) |
| CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning |
4 Oct 2022 |
charlesge/openood-cadet/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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MIT (permissive) |
| Subquadratic Kronecker Regression with Applications to Tensor Decomposition |
11 Sep 2022 |
fahrbach/subquadratic-kronecker-regression/kronecker_regression_main.py 565559f51bbf56ac |
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MIT (permissive) |
| Training Discrete Deep Generative Models via Gapped Straight-Through Estimator |
15 Jun 2022 |
chijames/gst/gumbel_softmax_vae.py 2482f03ac1b8b9bb |
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| A graph representation of molecular ensembles for polymer property prediction |
17 May 2022 |
coleygroup/polymer-chemprop-data/results/vipea/train_test_nn.py add4d7fa73071d83 |
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MIT (permissive) |
| Causal Transportability for Visual Recognition |
26 Apr 2022 |
cvlab-columbia/ct4recognition/fd_waterbird.py 73f0a009a0741f72 |
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| Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond |
18 Apr 2022 |
uiuctml/goat/train_model.py 206142c1def9d0e8 |
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MIT (permissive) |
| Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns |
16 Sep 2021 |
ASU-APG/Targeted-Physical-Adversarial-Attacks-on-AD/dynamics_model/trainvae.py bceda6b63b9938b0 |
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MIT (permissive) |
| Generating Smooth Pose Sequences for Diverse Human Motion Prediction |
19 Aug 2021 |
wei-mao-2019/gsps/motion_pred/exp_dlow.py 6ea34e9827e7ac44 |
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MIT (permissive) |
| Generating Smooth Pose Sequences for Diverse Human Motion Prediction |
19 Aug 2021 |
wei-mao-2019/gsps/train_nf.py 3671a5b389b22a4d |
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MIT (permissive) |
| Generating Smooth Pose Sequences for Diverse Human Motion Prediction |
19 Aug 2021 |
wei-mao-2019/gsps/motion_pred/exp_vae.py ccc1706401922db7 |
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MIT (permissive) |
| FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning |
29 Apr 2021 |
juellsprott/graphair-reproducibility/models/fairgraph/method/fairadj/optimizer.py cf61291f93016fe4 |
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MIT (permissive) |
| Wireframe-Based UI Design Search Through Image Autoencoder |
2021-03 (from id) |
chenjshnn/WAE/code/Model_AE2.py d9f4e3003bec0bfe |
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Apache-2.0 (permissive) |
| Program Synthesis Guided Reinforcement Learning for Partially Observed Environments |
22 Feb 2021 |
yycdavid/program-synthesis-guided-rl/train_cvae.py 0ba8b6945b3ef257 |
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MIT (permissive) |
| Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator |
9 Oct 2020 |
identical code first harvested elsewhere 2482f03ac1b8b9bb |
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| Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling |
29 Jul 2020 |
gudgud96/music-fader-nets/trainer.py d8c64bc8ad7303cd |
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| Bootstrap your own latent: A new approach to self-supervised Learning |
13 Jun 2020 |
HibikiJie/BYOL/utiles/loss_function.py d1695fe8fcdca12a |
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| Bootstrap your own latent: A new approach to self-supervised Learning |
13 Jun 2020 |
jramapuram/BYOL/objective.py 5c93a9f666df290c |
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MIT (permissive) |
| DLow: Diversifying Latent Flows for Diverse Human Motion Prediction |
18 Mar 2020 |
Khrylx/DLow/motion_pred/exp_dlow.py 6ea34e9827e7ac44 |
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| Iterative energy-based projection on a normal data manifold for anomaly localization |
10 Feb 2020 |
ForrestPi/anomalyLocalization/network.py d25dc976c772c210 |
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MIT (permissive) |
| Towards Visually Explaining Variational Autoencoders |
18 Nov 2019 |
FrankBrongers/Reproducing_expVAE/Anomaly_Detection/code/train_expVAE.py 3a224fbb51218efd |
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| Towards Visually Explaining Variational Autoencoders |
18 Nov 2019 |
liuem607/expVAE/code/train_expVAE.py fdce273101e4d6be |
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| Wasserstein-2 Generative Networks |
28 Sep 2019 |
lit-leo/inner-convex-nn/vae/vanila_vae.py 151aee3ffaced99a |
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MIT (permissive) |
| RWR-GAE: Random Walk Regularization for Graph Auto Encoders |
12 Aug 2019 |
MysteryVaibhav/DW-GAE/gae/optimizer.py 59a02f929e372616 |
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MIT (permissive) |
| Unsupervised Anomaly Localization using Variational Auto-Encoders |
4 Jul 2019 |
MIC-DKFZ/vae-anomaly-experiments/mnist_script.py ce428265544f69c2 |
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| vGraph: A Generative Model for Joint Community Detection and Node Representation Learning |
18 Jun 2019 |
sunfanyunn/vgraph/nonoverlapping-community-detection.py 354159202439c55a |
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| Unifying and Merging Well-trained Deep Neural Networks for Inference Stage |
14 May 2018 |
ivclab/NeuralMerger/Fine-tuning/loss.py 3d76bb4c9a231576 |
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MIT (permissive) |
| World Models |
27 Mar 2018 |
ctallec/world-models/trainvae.py 46304a89b6b8c121 |
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MIT (permissive) |
| On First-Order Meta-Learning Algorithms |
8 Mar 2018 |
hfahrudin/reptile_implement_tf2/Reptile.py 97d6ee1a0025a4d4 |
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MIT (permissive) |
| Variational Autoencoders for Collaborative Filtering |
16 Feb 2018 |
younggyoseo/vae-cf-pytorch/models.py 615c1c088d110d1a |
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| DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess |
27 Nov 2017 |
dangeng/DeepChess/models/siamese.py 2d996185651c67fb |
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| DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess |
27 Nov 2017 |
dangeng/DeepChess/train_siamese.py cfadd9215bc9b156 |
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| The Reversible Residual Network: Backpropagation Without Storing Activations |
14 Jul 2017 |
gigantenbein/ReVAE/model.py 87522c59fd90aded |
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MIT (permissive) |
| YOLO9000: Better, Faster, Stronger |
25 Dec 2016 |
preste-ai/camera_ai_whiteboard/yolo_train.py a1ceaadc2f636a2a |
unverified |
MIT (permissive) |
| Variational Graph Auto-Encoders |
21 Nov 2016 |
zfjsail/gae-pytorch/gae/optimizer.py cf61291f93016fe4 |
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MIT (permissive) |
| Deep Feature Consistent Variational Autoencoder |
2 Oct 2016 |
peria1/VAEconvMNIST/src/vanilla_vae.py 310bb444965578fb |
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| Deep Feature Consistent Variational Autoencoder |
2 Oct 2016 |
bhpfelix/Variational-Autoencoder-PyTorch/src/vanila_vae.py 151aee3ffaced99a |
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| Autoencoding beyond pixels using a learned similarity metric |
31 Dec 2015 |
pravn/vaegan/modules_tied.py 5c76b12c6eb7b27e |
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| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
Abdelhamid-bouzid/Deep-metric-learning/Triplet/loss_function.py 30d037777ebf6516 |
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| MADE: Masked Autoencoder for Distribution Estimation |
12 Feb 2015 |
ANLGBOY/MADE-with-PyTorch/made.py 0fe5b1dc810c9785 |
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| Generative Adversarial Networks |
10 Jun 2014 |
BYOGan/BYOGan/byogan-api/loss.py 3f652acf2c0714dc |
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MIT (permissive) |
| Auto-Encoding Variational Bayes |
20 Dec 2013 |
wgopar/VariationalAutoencoder/vae.py 619f809e220bdfad |
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| Auto-Encoding Variational Bayes |
20 Dec 2013 |
podgorskiy/VAE/VAE.py 5e86bd50f762f937 |
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| arXiv:aaai_21180 |
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yuanmu97/MLink/mlink/seq_to_seq.py 231073787cd0a5e2 |
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| arXiv:Liu_Detecting_Out-of-Distribution_Through_the_Lens_of_Neural_Collapse_CVPR_2025_paper |
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litianliu/NCI-OOD/openood/losses/rd4ad_loss.py 4c1d0e3674921db5 |
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| arXiv:136820244 |
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Sirui-Xu/STARS/diverse/train_nf.py 3671a5b389b22a4d |
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MIT (permissive) |