| FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism added by Syntology |
2026-06 (from id) |
iDC-NEU/NeutronTP/models/tensplit_gcn_large.py 793a3a5b95a81cea |
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2026-06 (from id) |
SakanaAI/LanguageEvolution/core/network.py dec7bba3f9c83b4b |
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| What Twelve LLM Agent Benchmark Papers Disclose About Themselves: A Pilot Audit and an Open Scoring Schema added by Syntology |
2026-05 (from id) |
mahdinaser/reprobe-audit/score_corpus.py 02b1fdf91aa5701f |
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MIT (permissive) |
| TabCF: Distributional Control Function Estimation with Tabular Foundation Models added by Syntology |
2026-05 (from id) |
jhartford/DeepIV/deepiv/models.py de28a56fedb8f6ac |
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MIT (permissive) |
| FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching |
19 Feb 2025 |
datamol-io/safe/safe/_tokenizer_utils.py 3f2fce2269e966e4 |
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Apache-2.0 (permissive) |
| FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching |
19 Feb 2025 |
datamol-io/safe/safe/tokenizer.py 1d75b0fe2361c83d |
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| Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition |
20 Feb 2025 |
mlcommons/algorithmic-efficiency/algoperf/random_utils.py 41945920f8ae7923 |
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| Are Expressive Models Truly Necessary for Offline RL? |
15 Dec 2024 |
imoneoi/RSP_JAX/exp_launcher.py ffb145c4a0426f6d |
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| Evaluating the Robustness of Analogical Reasoning in Large Language Models |
21 Nov 2024 |
marthaflinderslewis/robust-analogy/digit_matrices/eval_gpt_matprob.py 77cea5f7a2c7242f |
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| Parametric model reduction of mean-field and stochastic systems via higher-order action matching |
15 Oct 2024 |
julesberman/hoam/hoam/utils.py 76db085f4948c681 |
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| On Calibration of LLM-based Guard Models for Reliable Content Moderation |
14 Oct 2024 |
waffle-liu/calibration_guard_model/calibration/utils.py 8e9dfd4ba4bf9fa3 |
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| Topic Modeling with Fine-tuning LLMs and Bag of Sentences |
6 Aug 2024 |
johntailor/ft-topic/finetuneTM/fttopic.py a3a1f569ebaba212 |
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MIT (permissive) |
| Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning |
7 Jun 2024 |
graphminddartmouth/disgen/src/graphsst2_dataset.py fe7d97d9abf11937 |
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| Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP |
3 Jun 2024 |
SriramB-98/vit-decompose/helpers/linear_decompose.py 5f3750bcdd0d49e0 |
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| Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent |
27 May 2024 |
colorfulfuture/unitraj-pytorch/preprocess/football/read_csv.py c11458aa37f0b218 |
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| Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent |
27 May 2024 |
colorfulfuture/unitraj-pytorch/preprocess/soccer/read_csv.py decd44e6d49d861d |
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| Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks |
27 May 2024 |
simonheilig/porthamiltonian-dgn/minesweeper/model_selection.py 67cf67f9cfc213a8 |
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MIT (permissive) |
| Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning |
7 May 2024 |
wmyw96/fair/generate_waterbird.py 53b88db991b1fee9 |
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| PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images |
13 Dec 2023 |
warmongeringbeaver/phendiff/src/utils_misc.py b30d708f85b96874 |
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| FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation |
7 Dec 2023 |
ldkong1205/Robo3D/create/kitti_c/snow/precompute.py f8128e47543b84c3 |
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| A Study on the Calibration of In-context Learning |
7 Dec 2023 |
hlzhang109/icl-calibration/calibration/utils.py 8e9dfd4ba4bf9fa3 |
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MIT (permissive) |
| Interpretable Prototype-based Graph Information Bottleneck |
30 Oct 2023 |
sang-woo-seo/pgib/models/train_gnns.py 4af5d2df5e85cf09 |
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| arXiv:2310.01551 |
2023-10 (from id) |
SullivanC19/pydl8.5-topk/topk/algorithms/run_topk.py 56e8b974a5cb74c3 |
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MIT (permissive) |
| GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization |
9 Aug 2023 |
ffhibnese/GIFD/inversefed/nn/revnet_utils.py 781553d9de1bec97 |
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| In-Context Learning Learns Label Relationships but Is Not Conventional Learning |
23 Jul 2023 |
jlko/in_context_learning/llm/datasets.py 8103cafadb0c86a3 |
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| Recasting Self-Attention with Holographic Reduced Representations |
31 May 2023 |
neuromorphiccomputationresearchprogram/hrrformer/utils.py aaa1f91613c8db28 |
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| VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset |
29 May 2023 |
TXH-mercury/VALOR/inference.py d92ebd9f3d882489 |
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MIT (permissive) |
| Learning Strong Graph Neural Networks with Weak Information |
29 May 2023 |
yixinliu233/d2pt/load_data.py 1e6d36d440e99c35 |
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MIT (permissive) |
| Earning Extra Performance from Restrictive Feedbacks |
28 Apr 2023 |
kylejingli/EXPECTED/adult/income_prediction.py 1acb30bb6b523696 |
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MIT (permissive) |
| RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion |
31 Jan 2023 |
dovermore/randomized-deletion/src/repeat_forward_exp.py ffb145c4a0426f6d |
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MIT (permissive) |
| One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning |
30 Nov 2022 |
microsoft/lightATAC/lightATAC/atac.py fd64627ef6698537 |
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MIT (permissive) |
| Representational dissimilarity metric spaces for stochastic neural networks |
21 Nov 2022 |
ahwillia/netrep/netrep/metrics/stochastic_process.py 1e8f7903c244e8ab |
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MIT (permissive) |
| TransPolymer: a Transformer-based language model for polymer property predictions |
3 Sep 2022 |
ChangwenXu98/TransPolymer/Pretrain.py d5fe797c8cfc8e4b |
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| EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training |
17 Mar 2022 |
thu-coai/EVA/src/change_mp.py 61d59af2776f4b6e |
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MIT (permissive) |
| Better Uncertainty Calibration via Proper Scores for Classification and Beyond |
15 Mar 2022 |
mlo-lab/better_uncertainty_calibration/errors.py 815e55dabb053689 |
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| Adaptive and Robust Multi-Task Learning |
10 Feb 2022 |
kw2934/armul/preprocessing.py 6c295e1e8c7fad8c |
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MIT (permissive) |
| Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration |
7 Feb 2022 |
caroladoerr/leadingonedac/dacbench/logger.py f9a3339a7ca9d1d9 |
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Apache-2.0 (permissive) |
| Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism |
31 Jan 2022 |
Graph-COM/GSAT/src/datasets/graph_sst2.py fe7d97d9abf11937 |
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MIT (permissive) |
| Learning Dynamical Systems from Noisy Sensor Measurements using Multiple Shooting |
22 Jun 2021 |
machines-in-motion/ssm_multiple_shooting/ssm_ms/utils.py 3da4055ce2e1d189 |
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BSD-3-Clause (permissive) |
| Learning Dynamical Systems from Noisy Sensor Measurements using Multiple Shooting |
22 Jun 2021 |
machines-in-motion/ssm_multiple_shooting/benchmark/lstm/lorenz.py 9bceb8523266b53f |
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| Characterizing the risk of fairwashing |
14 Jun 2021 |
aivodji/characterizing_fairwashing/core/LaundryML.py 2b71bd6d8982dd33 |
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| DACBench: A Benchmark Library for Dynamic Algorithm Configuration |
18 May 2021 |
automl/DACBench/dacbench/logger.py 6b027295a0e0d3c6 |
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Apache-2.0 (permissive) |
| EigenGAN: Layer-Wise Eigen-Learning for GANs |
26 Apr 2021 |
LynnHo/EigenGAN-Tensorflow/pylib/path.py 46efef6d32953519 |
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MIT (permissive) |
| User Preference-aware Fake News Detection |
25 Apr 2021 |
safe-graph/GNN-FakeNews/utils/data_loader.py fa145afc46ed4a2d |
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| Representation Learning for Sequence Data with Deep Autoencoding Predictive Components |
7 Oct 2020 |
salesforce/DAPC/dapc/data_process.py ba311a718f2780bc |
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| $f$-GAIL: Learning $f$-Divergence for Generative Adversarial Imitation Learning |
2 Oct 2020 |
fGAIL3456/fGAIL/a2c_ppo_acktr/model_utils.py f31c6c36e11645e2 |
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MIT (permissive) |
| Learning from Protein Structure with Geometric Vector Perceptrons |
3 Sep 2020 |
drorlab/gvp/src/gvp.py 0fadac860da52918 |
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| P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model |
22 Jun 2020 |
tsubasat/P3GM/ml_task/exp_ml.py 4f81ad6d184c5fa7 |
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MIT (permissive) |
| Learning Visual Commonsense for Robust Scene Graph Generation |
17 Jun 2020 |
ZhecanJamesWang/GLAT_SGG/lib/models_kern.py 9178ea1334f34247 |
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MIT (permissive) |
| SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery |
12 Nov 2019 |
DSPsleeporg/smiles-transformer/smiles_transformer/utils.py 08bc94d6893046dd |
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MIT (permissive) |
| Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration |
28 Oct 2019 |
AnanyaKumar/verified_calibration/calibration/utils.py 8e9dfd4ba4bf9fa3 |
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MIT (permissive) |
| Meta Module Network for Compositional Visual Reasoning |
8 Oct 2019 |
wenhuchen/Meta-Module-Network/generate_program.py dcd3ba584ff4c63d |
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| Perceptual Generative Autoencoders |
25 Jun 2019 |
zj10/PGA/src/pylib/path.py ded2db9b11b1035e |
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MIT (permissive) |
| Learning with Average Precision: Training Image Retrieval with a Listwise Loss |
18 Jun 2019 |
almazan/deep-image-retrieval/dirtorch/datasets/dataset.py 0d31580390476d85 |
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BSD-3-Clause (permissive) |
| Fake News Detection on Social Media using Geometric Deep Learning |
10 Feb 2019 |
identical code first harvested elsewhere fa145afc46ed4a2d |
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| Describing a Knowledge Base |
6 Sep 2018 |
EagleW/Describing_a_Knowledge_Base/utils/split.py 94b0f0677a61e291 |
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MIT (permissive) |
| FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media |
2018-09 (from id) |
cestwc/fakenewsnet-torchtext-dataset-json/util_dataset.py 62532e07bc7d6fc5 |
unverified |
MIT (permissive) |
| Smooth Loss Functions for Deep Top-k Classification |
21 Feb 2018 |
oval-group/smooth-topk/topk/utils.py de94bb6f1e49e85a |
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MIT (permissive) |
| i-RevNet: Deep Invertible Networks |
20 Feb 2018 |
jhjacobsen/pytorch-i-revnet/models/model_utils.py 781553d9de1bec97 |
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MIT (permissive) |
| A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks |
5 Nov 2016 |
rubythonode/joint-many-task-model/data.py 50f3532ff1835fba |
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| Improving Variational Inference with Inverse Autoregressive Flow |
15 Jun 2016 |
openai/iaf/tf_utils/common.py 575cf7ef0fce2c37 |
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MIT (permissive) |
| ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation |
7 Jun 2016 |
xiaoyufenfei/LEDNet/imagenet-pretrain/lednet_imagenet.py 8f2448483b5d9342 |
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MIT (permissive) |
| Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation |
28 Mar 2016 |
pvtien96/CXRAbnormalityLocalization/src/Yolov5/make_dataset.py 3441854d7d24891f |
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Apache-2.0 (permissive) |
| Deep Residual Learning for Image Recognition |
10 Dec 2015 |
alalagong/LEDNet/train/lednet.py 8f2448483b5d9342 |
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MIT (permissive) |
| SSD: Single Shot MultiBox Detector |
8 Dec 2015 |
aubricot/object_detection_for_image_cropping/object_detection_for_image_cropping/chiroptera/.archive/chiroptera_generate_tfrecord.py 21099a7cea8bf95e |
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MIT (permissive) |
| Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks |
9 Jun 2015 |
oplatek/e2end/e2end/utils.py e60cce6899e60e6a |
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Apache-2.0 (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
altndrr/persona/src/utils/path.py a5f0faf85263079d |
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MIT (permissive) |
| Show and Tell: A Neural Image Caption Generator |
17 Nov 2014 |
yuyay/chainer_nic/datasets.py bb0b8cedb4bac982 |
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MIT (permissive) |
| Auto-Encoding Variational Bayes |
20 Dec 2013 |
LynnHo/VAE-Tensorflow/pylib/path.py ded2db9b11b1035e |
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MIT (permissive) |
| arXiv:aaai_29103 |
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yaoyao-yaoyao-cell/CRCG/datasets/graphsst2_dataset.py fe7d97d9abf11937 |
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