| Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization added by Syntology |
2026-08 (from id) |
eysu35/EpiSelect/src/data_selectors/episelect.py 24dca89866b40710 |
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| The Evaluation Protocol Determines the Result: An Independent Reproduction of LeWorldModel on TwoRoom added by Syntology |
2026-08 (from id) |
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2026-06 (from id) |
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Apache-2.0 (permissive) |
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2026-02 (from id) |
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2025-10 (from id) |
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2025-07 (from id) |
martin-marek/batch-size/finetuning/finetune.py a2462470e0c5e406 |
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MIT (permissive) |
| TraSCE: Trajectory Steering for Concept Erasure |
10 Dec 2024 |
anubhav1997/trasce/generate_images_concept_erasure.py 1784b58cb375899c |
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| Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization |
21 Jun 2024 |
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| WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions |
17 Jun 2024 |
vedantpalit/WellDunn/LLMs_WellXplain/Llama_experiment.py 3459c1b6589faba2 |
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| Neural Context Flows for Meta-Learning of Dynamical Systems |
3 May 2024 |
ddrous/ncflow/ncf/learner.py 31b333bdcc0116c5 |
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| Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction |
23 Apr 2024 |
matthewyccheung/conformal-metric/bias/synthetic.py 7085be724669ed9a |
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| Distributionally Generative Augmentation for Fair Facial Attribute Classification |
11 Mar 2024 |
heqianpei/DiGA/BYOL/BYOL.py 00cae89471470576 |
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| CLAPSep: Leveraging Contrastive Pre-trained Model for Multi-Modal Query-Conditioned Target Sound Extraction |
27 Feb 2024 |
aisaka0v0/clapsep/model/CLAPSep.py 9a053c56d1d332e3 |
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| NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction |
21 Feb 2024 |
haoyyli/neuraldiffuser/src/recon.py bb53e8b539584939 |
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| It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition |
8 Feb 2024 |
Hypotheses-Paradise/UADF/finetune/adapter.py b3207d2a276b9a79 |
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| In-Context Reinforcement Learning for Variable Action Spaces |
20 Dec 2023 |
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| Grokking Group Multiplication with Cosets |
11 Dec 2023 |
dashstander/sn-grok/calculate_cosets.py 65a18a30de63b6e8 |
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| Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer |
12 Nov 2023 |
tanyuqian/cappy/cappy_bigbench.py f73fe4e70456b114 |
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| Uncovering Intermediate Variables in Transformers using Circuit Probing |
7 Nov 2023 |
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| Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination |
6 Nov 2023 |
heimine/pnc_dln/linear_probe.py 84b336c1b357cf00 |
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| Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination |
6 Nov 2023 |
heimine/pnc_dln/train_cifar.py 158ee19e017d75ab |
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| Diffusion Models as Stochastic Quantization in Lattice Field Theory |
29 Sep 2023 |
anguswlx/dmassq/loss.py 73ec3b826b113561 |
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MIT (permissive) |
| Embodied Task Planning with Large Language Models |
4 Jul 2023 |
Gary3410/TaPA/finetune/adapter.py b3207d2a276b9a79 |
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| MoMo: Momentum Models for Adaptive Learning Rates |
12 May 2023 |
fabian-sp/MoMo/example.py 2ec9e2662f3e2b31 |
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| FOSI: Hybrid First and Second Order Optimization |
16 Feb 2023 |
hsivan/fosi/examples/fosi_torch_example.py a0b5a0ec8b3915d2 |
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| In-context Reinforcement Learning with Algorithm Distillation |
25 Oct 2022 |
corl-team/headless-ad/src/gridworld/algorithms/headless_ad.py 213b8058df2e85bf |
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| SAM as an Optimal Relaxation of Bayes |
4 Oct 2022 |
team-approx-bayes/bayesian-sam/demo2d.py ea6ded110b209017 |
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| ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining |
4 Sep 2022 |
engsalem/arglegalsumm/src/argument_classification/argument_classifier.py 0b4f809b4b200f41 |
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| SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022 |
8 Aug 2022 |
jseaj/2dxformer/run_model.py c9c18a8a3248d43b |
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MIT (permissive) |
| Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding |
28 Jan 2022 |
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| Self-Distilled Self-Supervised Representation Learning |
25 Nov 2021 |
hagiss/sdssl/pl_train_byol.py 00cae89471470576 |
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MIT (permissive) |
| Self-Distilled Self-Supervised Representation Learning |
25 Nov 2021 |
hagiss/sdssl/pl_train_moco.py e53d0d8dc48485af |
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MIT (permissive) |
| A Bayesian generative neural network framework for epidemic inference problems |
5 Nov 2021 |
ocadni/annfore/annfore/learn/losses.py 8260a897032b015e |
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Apache-2.0 (permissive) |
| Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning |
11 Oct 2021 |
anon-researcher-repo/ksl/ksl/ksl.py 00cae89471470576 |
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MIT (permissive) |
| Unsupervised Motion Representation Learning with Capsule Autoencoders |
1 Oct 2021 |
ziweixu/capsulemotion/lib/mcae/model.py 3aa0d94122193b9e |
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MIT (permissive) |
| Graph neural networks for laminar flow prediction around random 2D shapes |
2021-07 (from id) |
jviquerat/gnn_laminar_flow/training_utils.py b8913be9e4152f50 |
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MIT (permissive) |
| Large-Scale Representation Learning on Graphs via Bootstrapping |
12 Feb 2021 |
Namkyeong/BGRL_Pytorch/models.py 00cae89471470576 |
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| RAFT-3D: Scene Flow using Rigid-Motion Embeddings |
1 Dec 2020 |
princeton-vl/RAFT-3D/scripts/train_things.py 5573a1cb760609a7 |
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BSD-3-Clause (permissive) |
| Semi-supervised Batch Active Learning via Bilevel Optimization |
19 Oct 2020 |
zalanborsos/bilevel_coresets/batch_active_learning/nystrom_example.py 02c73252d050997f |
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MIT (permissive) |
| Learning and Reasoning with the Graph Structure Representation in Robotic Surgery |
7 Jul 2020 |
mobarakol/Surgical_SceneGraph_Generation/evaluation_metrics.py 94bf8cb7d4647820 |
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| Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification |
17 Mar 2020 |
akshitac8/tfvaegan/train_actions.py aaa55fee4c12babe |
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| Adversarial Attacks on Probabilistic Autoregressive Forecasting Models |
8 Mar 2020 |
eth-sri/probabilistic-forecasts-attacks/Electricity/model/net.py dbccb94ff0308fed |
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Apache-2.0 (permissive) |
| Revisiting Knowledge Distillation via Label Smoothing Regularization |
25 Sep 2019 |
yuanli2333/Teacher-free-Knowledge-Distillation/model/resnet.py 2fabab362b4fd333 |
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MIT (permissive) |
| Revisiting Knowledge Distillation via Label Smoothing Regularization |
25 Sep 2019 |
yuanli2333/Teacher-free-Knowledge-Distillation/model/resnext.py 135ebbf5ed793416 |
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MIT (permissive) |
| Revisiting Knowledge Distillation via Label Smoothing Regularization |
25 Sep 2019 |
yuanli2333/Teacher-free-Knowledge-Distillation/model/wrn.py 106d033266830257 |
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| Deep Signature Transforms |
21 May 2019 |
patrick-kidger/Deep-Signature-Transforms/src/signature_inversion.py 56be8c2cedfe1979 |
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Apache-2.0 (permissive) |
| Symmetry-Based Disentangled Representation Learning requires Interaction with Environments |
30 Mar 2019 |
Caselles/NeurIPS19-SBDRL/code/learn_4_dim_linear_disentangled_representation/01_train_vae_sans_cos_sin.py 4ea78db60dcc3a18 |
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MIT (permissive) |
| DeepZip: Lossless Data Compression using Recurrent Neural Networks |
20 Nov 2018 |
mohit1997/DeepZip/src/trainer.py d10e845597405b7e |
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MIT (permissive) |
| Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset |
1 Nov 2018 |
facebookresearch/EmpatheticDialogues/retrieval_train.py bb348efa3df2be58 |
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| Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation |
17 Apr 2018 |
hhe-distance/AIF-CNN/for_ntu/model/AIF_CNN.py 420f3c8dfea9f457 |
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| Deep Learning using Rectified Linear Units (ReLU) |
22 Mar 2018 |
AFAgarap/relu-classifier/models/neural_net.py 5b6e064a9ab90fe4 |
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Apache-2.0 (permissive) |
| Disentangled Sequential Autoencoder |
8 Mar 2018 |
mazzzystar/Disentangled-Sequential-Autoencoder/disVAE.py 4360bbfc62d0fcb0 |
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| Disentangled Sequential Autoencoder |
8 Mar 2018 |
yatindandi/Disentangled-Sequential-Autoencoder/trainer.py 26aff04580832904 |
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| Regularizing and Optimizing LSTM Language Models |
7 Aug 2017 |
vganesh46/awd-lstm-pytorch-implementation/model/net.py f7bb4492f97bc8b6 |
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| Poincaré Embeddings for Learning Hierarchical Representations |
22 May 2017 |
drewwilimitis/hyperbolic-learning/hyperbolic_svm/hsvm.py d580486bed607544 |
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| Conditional Image Generation with PixelCNN Decoders |
16 Jun 2016 |
kamenbliznashki/pixel_models/pixelcnn.py bd3e6d44a59d468d |
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| Asynchronous Methods for Deep Reinforcement Learning |
4 Feb 2016 |
N0r9st/a2c-jax/jax_a2c/a2c.py ccd9cd7b44c7155d |
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| Long Short-Term Memory-Networks for Machine Reading |
25 Jan 2016 |
oneil512/lstmn/lstmn.py f50416d9707b5c6f |
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| arXiv:2024.naacl-long.343 |
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king-yyf/CMeKG_tools/model_re/medical_re.py f062fd0bb6d5640e |
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MIT (permissive) |
| arXiv:2021.acl-long.402 |
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yanzhangnlp/BSL/sentence_transformers/losses/BYOLoss.py 00cae89471470576 |
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Apache-2.0 (permissive) |