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2026-05 (from id) |
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2026-01 (from id) |
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event-ahu/cm3ae/transform.py a5d41302c947503d |
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| LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks |
14 Apr 2025 |
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11 Mar 2025 |
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| Loss-to-Loss Prediction: Scaling Laws for All Datasets |
19 Nov 2024 |
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16 Nov 2024 |
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22 Oct 2024 |
antbaez9/pinn-proj/graphing/landscape_pinn_proj.py 66c91b3b0e4da80b |
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| On Effects of Steering Latent Representation for Large Language Model Unlearning |
12 Aug 2024 |
RebelsNLU-jaist/llm-unlearning/baselines/adap_rmu/utils.py db42ee03f6308ed9 |
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20 Jul 2024 |
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| PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates |
20 Jul 2024 |
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19 Jun 2024 |
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20 May 2024 |
huawei-lin/RapidIn/RapidIn/calc_inner.py 3a23080f60e58f47 |
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| UniDepth: Universal Monocular Metric Depth Estimation |
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lpiccinelli-eth/unidepth/unidepth/models/unidepthv1/unidepthv1.py 1a61b6729f16be14 |
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| PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition |
26 Mar 2024 |
karl1109/scsegamba/datasets/base_dataset.py c46f5dafa31a96bf |
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| PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition |
26 Mar 2024 |
karl1109/scsegamba/datasets/utils.py 4956e4440feb1f58 |
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| The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning |
5 Mar 2024 |
centerforaisafety/wmdp/rmu/utils.py db42ee03f6308ed9 |
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| TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis |
26 Feb 2024 |
saberatalukder/totem/forecasting/generalist_eval.py 96092138a8882ebc |
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| Rethinking Node-wise Propagation for Large-scale Graph Learning |
9 Feb 2024 |
xkli-allen/atp/utils.py 91d49ad9b60806e7 |
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| LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning |
22 Jan 2024 |
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| LLM360: Towards Fully Transparent Open-Source LLMs |
11 Dec 2023 |
llm360/analysis360/analysis/unlearning/utils/model_utils.py a6241d707feb5c00 |
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| Combinatorial Optimization with Policy Adaptation using Latent Space Search |
13 Nov 2023 |
instadeepai/compass/compass/trainers/validation_utils.py a5bda23e4f88eecf |
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| End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic |
2023-10 (from id) |
jatan12/diffproj/extract_param_cvae.py 210a938558a71400 |
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| Denoising Diffusion Step-aware Models |
5 Oct 2023 |
envision-research/ddsm/profile.py e2db4aa1fd031021 |
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| FDAPT: Federated Domain-adaptive Pre-training for Language Models |
12 Jul 2023 |
scylj1/FDAPT/fdabert.py 7f6cdc8aa998536f |
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| STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events |
15 Jun 2023 |
sony/audio-visual-seld-dcase2023/dcase2022_task3_seld_metrics/parameters.py 6f9b312e4a5c8fd5 |
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| Certified Training: Small Boxes are All You Need |
10 Oct 2022 |
eth-sri/sabr/src/util.py caeec8b2bd7730d3 |
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| Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization |
7 Oct 2022 |
instadeepai/poppy/poppy/trainers/validation.py a5bda23e4f88eecf |
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| Emergent Communication: Generalization and Overfitting in Lewis Games |
30 Sep 2022 |
identical code first harvested elsewhere 1ff2e1e339d9123b |
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| Rewriting Geometric Rules of a GAN |
28 Jul 2022 |
peterwang512/ganwarping/datasets/base_dataset.py d80e86b2b7fb857b |
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| Characterizing and Optimizing End-to-End Systems for Private Inference |
2022-07 (from id) |
kvgarimella/characterizing-private-inference/artifact/client_vs_server.py cacd88da5725fa99 |
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| MobileOne: An Improved One millisecond Mobile Backbone |
8 Jun 2022 |
federicopozzi33/MobileOne-PyTorch/mobileone_pytorch/_mobileone_network.py c0f962b136ec921d |
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| mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation |
6 Jun 2022 |
yaozhang93/mmformer/mmformer/utils/lr_scheduler.py d51dae9ac1ba0359 |
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Apache-2.0 (permissive) |
| On the role of population heterogeneity in emergent communication |
2022-04 (from id) |
MathieuRita/Population/src/zoo/populations/custom_experiments.py 1ff2e1e339d9123b |
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MIT (permissive) |
| Learning to generate line drawings that convey geometry and semantics |
23 Mar 2022 |
carolineec/informative-drawings/base_dataset.py d80e86b2b7fb857b |
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MIT (permissive) |
| MAXIM: Multi-Axis MLP for Image Processing |
9 Jan 2022 |
vztu/maxim-pytorch/maxim_pytorch/jax2torch.py 1b0d800507b48241 |
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| Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers |
22 Sep 2021 |
gsarti/it5/inference/vars.py f74861ceb9e003dd |
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| CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation |
6 Jul 2021 |
alsgkals2/CoReD_Released/TGD.py a6a51242455508a3 |
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| HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers |
11 Jun 2021 |
dingmyu/HR-NAS/utils/model_profiling.py e2db4aa1fd031021 |
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| Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix |
10 Jun 2021 |
gdisag/gradient_disaggregation/fedavg_test.py bdcaa5d25a63aab9 |
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| TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search |
25 May 2021 |
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| MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations |
14 May 2021 |
taoyang1122/MutualNet/utils/model_profiling.py e2db4aa1fd031021 |
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MIT (permissive) |
| Fast Certified Robust Training with Short Warmup |
31 Mar 2021 |
shizhouxing/Fast-Certified-Robust-Training/manual_init.py caeec8b2bd7730d3 |
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| Addressing the Topological Defects of Disentanglement via Distributed Operators |
10 Feb 2021 |
facebookresearch/Addressing-the-Topological-Defects-of-Disentanglement/run_experiments_real.py 3ff22d69baec8e3d |
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| Self-Supervised Variational Auto-Encoders |
5 Oct 2020 |
ioangatop/srVAE/src/utils/utils.py 32c3519c7222d956 |
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MIT (permissive) |
| Contrastive Learning of Medical Visual Representations from Paired Images and Text |
2 Oct 2020 |
tjdevWorks/ConVIRT-Federated/src/flwr_client.py 525d703da285cb16 |
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| Robust pricing and hedging via neural SDEs |
8 Jul 2020 |
ericavanee/bicausal_wasserstein_mtglproj/src/adapted_mtgl/utils.py 2ca5ad809ed2872b |
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| GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks |
26 Sep 2019 |
cc-hpc-itwm/GradVis/toolbox/Visualization.py 4b7de213d6a300c9 |
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| Attention-based Context Aggregation Network for Monocular Depth Estimation |
29 Jan 2019 |
miraiaroha/ACAN/code/creator/params.py 8049f1ba083fcffa |
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MIT (permissive) |
| Post-training 4-bit quantization of convolution networks for rapid-deployment |
2 Oct 2018 |
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| Linguistically-Informed Self-Attention for Semantic Role Labeling |
23 Apr 2018 |
strubell/LISA/src/attention_fns.py 0e84978dc1139b65 |
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Apache-2.0 (permissive) |
| Gated-Attention Readers for Text Comprehension |
5 Jun 2016 |
bdhingra/ga-reader/config.py 5adc1d877badb089 |
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| Gated-Attention Readers for Text Comprehension |
5 Jun 2016 |
aartika/experiment1/config.py 02016e5f2ded9fc2 |
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| arXiv:aaai_28994 |
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Alrash/EDM/src/DeepDG/alg/opt.py ecd2696484224277 |
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| arXiv:Li_Self-Supervised_Blind_Motion_Deblurring_With_Deep_Expectation_Maximization_CVPR_2023_paper |
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Chilie/Deblur_MCEM/utils/common_utils.py 9625c9dff59db88e |
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