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2026-05 (from id) |
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2025-10 (from id) |
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| Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models? |
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25 Feb 2025 |
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| On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory |
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16 Dec 2024 |
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| How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective |
14 Oct 2024 |
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30 Jul 2024 |
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MIT (permissive) |
| Temporal Event Stereo via Joint Learning with Stereoscopic Flow |
15 Jul 2024 |
mickeykang16/temporaleventstereo/dataloader/dsceDataset.py adff203ed32cd918 |
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| Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective |
10 Jul 2024 |
fuchs-lab-public/cpath_sabenchmark/code/datasets.py 7369ee82c228b370 |
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MIT (permissive) |
| Panacea: A foundation model for clinical trial search, summarization, design, and recruitment |
25 Jun 2024 |
linjc16/panacea/alignment/data.py e25074d0d5f34d66 |
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26 May 2024 |
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| MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning |
5 May 2024 |
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| An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape |
24 Apr 2024 |
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30 Mar 2024 |
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10 Mar 2024 |
BIT-Vision/SVS/datasets/dataset.py a82c9310f46b74cb |
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| Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records |
6 Mar 2024 |
SH-Src/AutoDP/utils/ehr_dataset.py 0a7facc355b59543 |
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29 Feb 2024 |
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| What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning |
25 Dec 2023 |
hkust-nlp/deita/src/deita/alignment/train_scorers.py e0e89efde423abfd |
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Apache-2.0 (permissive) |
| Absolute Policy Optimization |
20 Oct 2023 |
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1 Aug 2023 |
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4 Jul 2023 |
anilosmantur/conditioned_video_anomaly_diffusion/train_ano.py 7ab491e780c48512 |
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| A Rainbow in Deep Network Black Boxes |
29 May 2023 |
florentinguth/rainbow/datasets.py e6fb903521a8cee4 |
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BSD-3-Clause (permissive) |
| Learning to Backdoor Federated Learning |
6 Mar 2023 |
HengerLi/RLBackdoorFL/DataProcess.py 97022c949a88944d |
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| A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions |
28 Jul 2022 |
cnc-ood/cnc_ood/datasets/cifar10.py fd7eb4a19cf6344a |
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MIT (permissive) |
| A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions |
28 Jul 2022 |
cnc-ood/cnc_ood/datasets/cifar100.py b018c7f90d510364 |
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MIT (permissive) |
| A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions |
28 Jul 2022 |
cnc-ood/cnc_ood/datasets/svhn.py edd840936d027c2e |
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| The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning |
6 Jul 2022 |
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| A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration |
25 Mar 2022 |
mdca-loss/mdca-calibration/datasets/imagenet.py f077346ebc45ed1b |
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| MotionCLIP: Exposing Human Motion Generation to CLIP Space |
15 Mar 2022 |
guytevet/motionclip/src/datasets/get_dataset.py 4a0130412b541041 |
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MIT (permissive) |
| Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification |
29 Nov 2021 |
DominiqueMercier/PPML-TSA/src/modules/ucr_loader.py 70634cdff58ce5b5 |
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MIT (permissive) |
| Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics |
26 Aug 2021 |
vita-group/tegnas/lib/datasets/get_dataset_with_transform.py e886699e0b7d7466 |
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| On the importance of cross-task features for class-incremental learning |
22 Jun 2021 |
AlbinSou/cross_task_cil/src/datasets/data_loader.py 2125ab30557c552f |
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MIT (permissive) |
| Safe Reinforcement Learning Using Advantage-Based Intervention |
16 Jun 2021 |
nolanwagener/safe_rl/safe_rl/utils/plot.py ed35dafc1e97db0c |
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MIT (permissive) |
| Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation |
14 Jun 2021 |
shawnlimn/scalegrad/custom/gpt2/run_gpt2.py 041742ed31858d0f |
ran · our draft was wrong
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MIT (permissive) |
| Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling |
1 Jun 2021 |
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MIT (permissive) |
| Action-Conditioned 3D Human Motion Synthesis with Transformer VAE |
12 Apr 2021 |
Mathux/ACTOR/src/datasets/get_dataset.py 6d2ad5c70d553a15 |
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MIT (permissive) |
| Data Augmentation for Meta-Learning |
14 Oct 2020 |
RenkunNi/MetaAug/train_maxup.py 8cdcf45b23a7ccd2 |
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MIT (permissive) |
| Learning Gradient Fields for Shape Generation |
14 Aug 2020 |
RuojinCai/ShapeGF/datasets/pointflow_datasets.py fcd60648a66ec115 |
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MIT (permissive) |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks |
31 Jul 2020 |
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Apache-2.0 (permissive) |
| Self-Imitation Learning via Generalized Lower Bound Q-learning |
12 Jun 2020 |
openai/spinningup/spinup/utils/plot.py e642bb98eca55069 |
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MIT (permissive) |
| Dynamic Convolution: Attention over Convolution Kernels |
7 Dec 2019 |
prstrive/CondConv-tensorflow/dataset.py f9cfc6fd89dbb714 |
unverified |
MIT (permissive) |
| U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging |
24 Oct 2019 |
perslev/U-Time/utime/bin/predict.py e8ad77ed6d59f9c2 |
ran · fixture could not drive it
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MIT (permissive) |
| Harnessing Structures for Value-Based Planning and Reinforcement Learning |
26 Sep 2019 |
YyzHarry/SV-RL/sv_rl/plot.py 8f379c7706eb8801 |
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MIT (permissive) |
| Large Scale Organization and Inference of an Imagery Dataset for Public Safety |
16 Aug 2019 |
LADI-Dataset/ladi-overview/training/config_dataset.py 42c4f691d6a4bb77 |
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MIT (permissive) |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows |
28 Jun 2019 |
stevenygd/PointFlow/datasets.py 5197b33d0222d257 |
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MIT (permissive) |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows |
28 Jun 2019 |
gmum/LoCondA/datasets/pointflow.py bf133ca0a1a7d7e5 |
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MIT (permissive) |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows |
28 Jun 2019 |
rg321/pointFlow_exp/datasets.py 5f63c0ca7dfab72f |
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MIT (permissive) |
| Approximate Inference Turns Deep Networks into Gaussian Processes |
5 Jun 2019 |
team-approx-bayes/dnn2gp/marglik.py 356d4801d921017f |
ran · our draft was wrong
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| Provably Efficient Maximum Entropy Exploration |
6 Dec 2018 |
abbyvansoest/maxent/plot.py ece9caed5d8cff07 |
unverified |
MIT (permissive) |
| Addressing Function Approximation Error in Actor-Critic Methods |
26 Feb 2018 |
robintyh1/icml2021-pengqlambda/spinup/utils/plot.py e642bb98eca55069 |
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| arXiv:2024.findings-acl.708 |
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Apache-2.0 (permissive) |