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2026-06 (from id) |
YVVH/ORE/ORE/ORE_main.py 5813326e00feabd0 |
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MIT (permissive) |
| In-Context Learning in Linear vs. Quadratic Attention Models: An Empirical Study on Regression Tasks added by Syntology |
2026-02 (from id) |
Yushgoel/icl-benchmarking/src/training/trainer.py a9cac69a38c2e2f8 |
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| Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective added by Syntology |
2025-12 (from id) |
eboursier/softmax_as_linear/run_experiments.py e770dd61f4f4c86a |
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| Masked Symbol Modeling for Demodulation of Oversampled Baseband Communication Signals in Impulsive Noise-Dominated Channels added by Syntology |
2025-12 (from id) |
OguzBedir/Masked_Symbol_Modeling/core/engine.py cdc6afbb64a20f40 |
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| A Probabilistic U-Net Approach to Downscaling Climate Simulations added by Syntology |
2025-11 (from id) |
MaryamAlipourH/prob-unet-climate-downscaling/src/trainmodel.py 7ba04b2294ce3fac |
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| Customizing the Inductive Biases of Softmax Attention using Structured Matrices added by Syntology |
2025-09 (from id) |
YilunKuang/structured-attention/train_ICL.py 6d19d7bf19c36fb9 |
unverified |
Apache-2.0 (permissive) |
| arXiv:2507.07101 |
2025-07 (from id) |
martin-marek/batch-size/finetuning/finetune.py 063239541bbfbe70 |
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MIT (permissive) |
| Monomial Matrix Group Equivariant Neural Functional Networks |
18 Sep 2024 |
mathematicalai-nus/monomial-nfn/experiments/classify_siren.py baf32f15bff306f8 |
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MIT (permissive) |
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2024-09 (from id) |
princetonlips/neural_fdm/src/neural_fdm/training.py c42ff70c20028648 |
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| Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning |
7 Jun 2024 |
graphminddartmouth/disgen/src/train_util.py 93792408ad287326 |
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| Generative Diffusion-based Downscaling for Climate |
27 Apr 2024 |
robbiewatt1/climatediffuse/src/TrainUnet.py 24c744794804a6b0 |
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| Policy-Guided Diffusion |
9 Apr 2024 |
emptyjackson/policy-guided-diffusion/diffusion/edm.py 9b56bf0de382cda7 |
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MIT (permissive) |
| Cell Graph Transformer for Nuclei Classification |
20 Feb 2024 |
lhaof/CGT/models/CGT/run_desc.py 2f4c495b7d47dc55 |
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| A Critical Evaluation of AI Feedback for Aligning Large Language Models |
19 Feb 2024 |
architsharma97/dpo-rlaif/reward_trainer.py 12be818ac399701d |
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Apache-2.0 (permissive) |
| Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks |
6 Feb 2024 |
krafton-ai/mambaformer-icl/src/train_parallel.py 47f61861b53edf4d |
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Apache-2.0 (permissive) |
| Attention Meets Post-hoc Interpretability: A Mathematical Perspective |
5 Feb 2024 |
gianluigilopardo/attention_meets_xai/multi_head_trainer.py 63b9f52bfaf4e99d |
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| Rethinking materials simulations: Blending direct numerical simulations with neural operators |
8 Dec 2023 |
vivek-brown/UNet-with-temporal-conditioning/src/code/train_unet.py 196ce81dc470cea6 |
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| Recurrent Distance Filtering for Graph Representation Learning |
3 Dec 2023 |
skeletondyh/GRED/train_peptides_func.py 9bc42f02f987a9cc |
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| Recurrent Distance Filtering for Graph Representation Learning |
3 Dec 2023 |
skeletondyh/GRED/train_peptides_struct.py 551c7a7eef38710d |
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| Recurrent Distance Filtering for Graph Representation Learning |
3 Dec 2023 |
skeletondyh/GRED/train_pixel.py 5ab5f97bf4fe2a26 |
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| Recurrent Distance Filtering for Graph Representation Learning |
3 Dec 2023 |
skeletondyh/GRED/train_sbm.py 2f7255aaf56805b4 |
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| A point cloud approach to generative modeling for galaxy surveys at the field level |
28 Nov 2023 |
smsharma/point-cloud-galaxy-diffusion/models/train_utils.py 23d317520a5f2b18 |
unverified |
MIT (permissive) |
| Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression |
26 Oct 2023 |
DeqingFu/transformers-icl-second-order/src/train_linear.py dcdff2706acbf855 |
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| Locally Differentially Private Document Generation Using Zero Shot Prompting |
24 Oct 2023 |
saitejautpala/dp_prompt/attacks/embedding_attacker_architecture.py 480709d96ec54bf8 |
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MIT (permissive) |
| Locally Differentially Private Document Generation Using Zero Shot Prompting |
24 Oct 2023 |
saitejautpala/dp_prompt/mechanisms/sentencelevel/deep_candidate.py 6dd4947c1a74cf75 |
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MIT (permissive) |
| Mirage: Model-Agnostic Graph Distillation for Graph Classification |
14 Oct 2023 |
idea-iitd/mirage/ogbg-molbace/optimization/train_and_test.py 8aba6b7e1a6477c1 |
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| No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML |
11 Oct 2023 |
ziqi-zhang/teeslice-artifact/membership-inference/knockoff_train.py 104afcbc0f6f4143 |
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| Mechanism of feature learning in convolutional neural networks |
1 Sep 2023 |
aradha/convrfm/conv_nets/trainer.py 8742a8050792c3dd |
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| CausalLM is not optimal for in-context learning |
14 Aug 2023 |
google-research/causallm_icl/model_trainer.py db573bba4a35a0c9 |
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Apache-2.0 (permissive) |
| FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods |
15 Jun 2023 |
ahxt/fair_fairness_benchmark/src/ffb_image_diffdp.py ec995a87fb3aa08f |
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MIT (permissive) |
| FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods |
15 Jun 2023 |
ahxt/fair_fairness_benchmark/src/ffb_image_diffeodd.py a6a63d55993a1803 |
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MIT (permissive) |
| FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods |
15 Jun 2023 |
ahxt/fair_fairness_benchmark/src/ffb_image_erm.py fdec6b87d8ff457b |
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MIT (permissive) |
| FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods |
15 Jun 2023 |
ahxt/fair_fairness_benchmark/src/ffb_tabular_adv_gr.py 4313a3b250fe0838 |
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MIT (permissive) |
| RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit |
8 Jun 2023 |
ruc-gsai/yulan-ir/WebBrain/generator/run_model_train.py 3b820c3547a5622d |
unverified |
MIT (permissive) |
| Recasting Self-Attention with Holographic Reduced Representations |
31 May 2023 |
FutureComputing4AI/Hrrformer/malware/hrrformer_mgpu.py 73cf404c6a2e8e98 |
unverified |
Apache-2.0 (permissive) |
| Reconstructive Neuron Pruning for Backdoor Defense |
24 May 2023 |
bboylyg/rnp/train_backdoor.py 1766a1f110a8bd59 |
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| Video Prediction Models as Rewards for Reinforcement Learning |
23 May 2023 |
nyuolab/VIPER-torch/scripts/train_vqgan.py 1afd8c944e46c401 |
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MIT (permissive) |
| Video Prediction Models as Rewards for Reinforcement Learning |
23 May 2023 |
nyuolab/VIPER-torch/scripts/train_videogpt.py ecce8632ff15a248 |
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MIT (permissive) |
| Identifiability Results for Multimodal Contrastive Learning |
16 Mar 2023 |
imantdaunhawer/multimodal-contrastive-learning/main_imgtxt.py 600f5a2225c1b02c |
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| Identifiability Results for Multimodal Contrastive Learning |
16 Mar 2023 |
imantdaunhawer/multimodal-contrastive-learning/main_mlp.py 5b044fb11a2bde22 |
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| Shortcut Detection with Variational Autoencoders |
8 Feb 2023 |
fraunhofer-aisec/shortcut-detection-vae/scripts/train_vae.py c9b5a4e0c35dc967 |
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Apache-2.0 (permissive) |
| Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation |
4 Jun 2022 |
jyanln/alignreg/src/alignreg/tf_training.py b4c6a8550e4357bf |
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MIT (permissive) |
| PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning |
29 Apr 2022 |
alipay/parameter_inference_efficient_pie/entity_typing/src/model.py de25933894de2114 |
unverified |
Apache-2.0 (permissive) |
| Instant Neural Graphics Primitives with a Multiresolution Hash Encoding |
16 Jan 2022 |
blurgyy/jaxngp/app/imagefit.py b2c79c7c992d6668 |
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Apache-2.0 (permissive) |
| MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning |
9 Dec 2021 |
Aleph-Alpha/magma/magma/train_loop.py 5c7e7dc9d5bdc305 |
unverified |
MIT (permissive) |
| Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing |
27 Aug 2021 |
MLforHealth/CausalDA/src/training.py c146534ad54e89c3 |
unverified |
MIT (permissive) |
| AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization |
2020-11 (from id) |
KimythAnly/AGAIN-VC/model/again.py 37bab301d0d6a8f0 |
unverified |
MIT (permissive) |
| Automated Synthetic-to-Real Generalization |
14 Jul 2020 |
NVlabs/ASG/l2o_train.py e0b335b3890feb6d |
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| Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels |
18 Apr 2018 |
yeachan-kr/pytorch-coteaching/runs/train_coteaching.py 5107b016c3d369b0 |
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| Deep Learning using Rectified Linear Units (ReLU) |
22 Mar 2018 |
AFAgarap/relu-classifier/models/neural_net.py b43efda1e2fdb72e |
unverified |
Apache-2.0 (permissive) |
| The Reversible Residual Network: Backpropagation Without Storing Activations |
14 Jul 2017 |
renmengye/revnet-public/run_cifar_train.py afcb9f0b0da3af03 |
ran · honoured contract
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MIT (permissive) |
| The Reversible Residual Network: Backpropagation Without Storing Activations |
14 Jul 2017 |
renmengye/revnet-public/run_imagenet_train.py c5abb3c9365dc91c |
ran · honoured contract
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MIT (permissive) |
| Deep Residual Learning for Image Recognition |
10 Dec 2015 |
ajaystar8/PDRUNet-PyTorch/engine.py 9bd37700bbb48c38 |
unverified |
MIT (permissive) |
| SSD: Single Shot MultiBox Detector |
8 Dec 2015 |
aniketmaurya/ssd-tf2-tfds/train_tfds.py aea7d0ddcbf2b4b3 |
unverified |
MIT (permissive) |
| Unsupervised Domain Adaptation by Backpropagation |
26 Sep 2014 |
chenkang121/DANN/DANN_minit_to_mnist_m.py 810938a759273697 |
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| arXiv:aaai_21180 |
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yuanmu97/MLink/mlink/seq_to_seq.py 505ddfc37d48c30b |
unverified |
MIT (permissive) |
| arXiv:aaai_21180 |
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yuanmu97/MLink/mlink/vec_to_seq.py fed5424f4f1af917 |
unverified |
MIT (permissive) |
| arXiv:2023.findings-emnlp.566 |
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SaitejaUtpala/dp_prompt/attacks/embedding_attacker_architecture.py 480709d96ec54bf8 |
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MIT (permissive) |