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| Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG |
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| MeaeQ: Mount Model Extraction Attacks with Efficient Queries |
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| Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization |
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| Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization |
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| Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models |
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| Explicit Correspondence Matching for Generalizable Neural Radiance Fields |
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| Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees |
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grobruegge/hu-mcd/run_humcd.py dc7701ca317940e4 |
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MIT (permissive) |
| Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding |
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| Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem |
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| Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription |
20 Jul 2022 |
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| OPOM: Customized Invisible Cloak towards Face Privacy Protection |
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zhongyy/opom/code/generation/gen_privacy_torch.py 91a206740e1f24ab |
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MIT (permissive) |
| EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction |
7 Feb 2022 |
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MIT (permissive) |
| MAAD: A Model and Dataset for "Attended Awareness" in Driving |
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ToyotaResearchInstitute/att-aware/src/maad/configs/args_file.py dbb7cbdcbff679d3 |
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| Asymptotics of Network Embeddings Learned via Subsampling |
6 Jul 2021 |
aday651/embed-asym-experiments/custom_scripts/gen_data.py 25492f639e03d229 |
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MIT (permissive) |
| Towards Biologically Plausible Convolutional Networks |
22 Jun 2021 |
romanpogodin/towards-bio-plausible-conv/dynamic_weight_sharing.py 72dd1e31464b3b55 |
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8 Jun 2021 |
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| BARF: Bundle-Adjusting Neural Radiance Fields |
13 Apr 2021 |
chenhsuanlin/bundle-adjusting-NeRF/options.py c57c6e4ede0dc332 |
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| A contrastive rule for meta-learning |
4 Apr 2021 |
smonsays/contrastive-meta-learning/bandit/ray_metabandit.py 2186a88be6035ce8 |
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MIT (permissive) |
| Extracting Training Data from Large Language Models |
14 Dec 2020 |
ftramer/LM_Memorization/extraction.py 2a6129e2c84f477d |
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MIT (permissive) |
| Benchmarking Deep Learning Interpretability in Time Series Predictions |
26 Oct 2020 |
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| SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images |
20 Oct 2020 |
chenhsuanlin/signed-distance-SRN/options.py 0542a2ea854639c5 |
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MIT (permissive) |
| Points2Surf: Learning Implicit Surfaces from Point Cloud Patches |
20 Jul 2020 |
ErlerPhilipp/points2surf/source/points_to_surf_eval.py f51709e1f7c95b06 |
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MIT (permissive) |
| Points2Surf: Learning Implicit Surfaces from Point Cloud Patches |
20 Jul 2020 |
ErlerPhilipp/points2surf/source/points_to_surf_train.py 1cd5046a0ace2eb4 |
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MIT (permissive) |
| Concept Bottleneck Models |
9 Jul 2020 |
yewsiang/ConceptBottleneck/CUB/hyperopt.py d65244603db1c967 |
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MIT (permissive) |
| Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions |
8 Jul 2020 |
slryou41/reaction-gcnn/predict.py 0aa8f3f2c68f41f7 |
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| ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification |
2020-05 (from id) |
ol-mega/ppca/speechbrain/core.py bd8ed1453a55a2df |
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| BLEU might be Guilty but References are not Innocent |
13 Apr 2020 |
atreyasha/semantic-isometry-nmt/src/evaluate_paraphrase_detection_wmt19_paraphrases_de_en.py fb7795a4d2ecdda6 |
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| Advbox: a toolbox to generate adversarial examples that fool neural networks |
13 Jan 2020 |
advboxes/AdvBox/advbox_family/ODD/object_detectors/yolo_tiny_model_updated.py f99837850d677750 |
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| Co-evolution of language and agents in referential games |
10 Jan 2020 |
gautierdag/cultural-evolution-engine/baseline.py 86b34f740b9fa818 |
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MIT (permissive) |
| Self-Supervised Deep Depth Denoising |
3 Sep 2019 |
VCL3D/DeepDepthDenoising/inference.py b579403b36c532af |
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MIT (permissive) |
| AdvHat: Real-world adversarial attack on ArcFace Face ID system |
23 Aug 2019 |
papermsucode/advhat/Attack/attack.py 297aa8a256f4855d |
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MIT (permissive) |
| Towards Automatic Concept-based Explanations |
7 Feb 2019 |
MKowal2/ACE_TCAV_Pytorch/ace_run.py e9542d3b9a5121ab |
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| Towards Automatic Concept-based Explanations |
7 Feb 2019 |
amiratag/ACE/ace_run.py bf9ed01f6e964a95 |
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MIT (permissive) |
| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
11 Oct 2018 |
scotthlee/injury_autocoding/src/evaluation.py e5e4ad8ef8a96e8d |
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| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
11 Oct 2018 |
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| Machine learning method for state preparation and gate synthesis on photonic quantum computers |
2018-07 (from id) |
XanaduAI/quantum-learning/gate_synthesis.py 9d21c843d38ac649 |
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Apache-2.0 (permissive) |
| Machine learning method for state preparation and gate synthesis on photonic quantum computers |
2018-07 (from id) |
XanaduAI/quantum-learning/state_learner.py ff2bc666de3f55a0 |
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Apache-2.0 (permissive) |
| Layer-structured 3D Scene Inference via View Synthesis |
26 Jul 2018 |
VCL3D/SphericalViewSynthesis/infer.py 8e4d142e91b7b4b5 |
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BSD-2-Clause (permissive) |
| Layer-structured 3D Scene Inference via View Synthesis |
26 Jul 2018 |
VCL3D/SphericalViewSynthesis/train_lr.py c319c00d91cee329 |
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| Multicolumn Networks for Face Recognition |
24 Jul 2018 |
ibendrup/MulticolumnNetwork/split_train_data.py a5633a6f6abd1238 |
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MIT (permissive) |
| CBAM: Convolutional Block Attention Module |
17 Jul 2018 |
identical code first harvested elsewhere f891cdc1c30186df |
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| Covariance Pooling For Facial Expression Recognition |
13 May 2018 |
d-acharya/CovPoolFER/temporal_pooling/src/softmaxClassifier.py 881e4e00ce2295dc |
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| MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices |
20 Apr 2018 |
godofpdog/MobileFaceNet_keras/train_MobileFaceNet.py a675542da5271225 |
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| MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices |
20 Apr 2018 |
sunil-rival/insightface/rival-src/embedding_generator.py e1ae46f172543f30 |
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MIT (permissive) |
| Understanding disentangling in $β$-VAE |
10 Apr 2018 |
Knight13/beta-VAE-disentanglement/src/training_script.py 5713ebe8202169a0 |
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| ArcFace: Additive Angular Margin Loss for Deep Face Recognition |
23 Jan 2018 |
mike07026/insightface_20190620/src/align/align_insight.py c2a17396e5b1b237 |
ran · our draft was wrong
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MIT (permissive) |
| Squeeze-and-Excitation Networks |
5 Sep 2017 |
identical code first harvested elsewhere f891cdc1c30186df |
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| Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs |
28 Mar 2017 |
lmb-freiburg/ogn/python/rendering/render_model.py 7ed0525ab1036fa2 |
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| Generating Multi-label Discrete Patient Records using Generative Adversarial Networks |
19 Mar 2017 |
mp2893/medgan/medgan.py ea19ab0f532b04b8 |
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BSD-3-Clause (permissive) |
| Generating Multi-label Discrete Patient Records using Generative Adversarial Networks |
19 Mar 2017 |
marcolussetti/extended-medgan/medgan.py a522a26ebea84bdc |
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BSD-3-Clause (permissive) |
| De-identification of Patient Notes with Recurrent Neural Networks |
10 Jun 2016 |
Franck-Dernoncourt/NeuroNER/neuroner/__main__.py 848f9b6b6e76e0bd |
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MIT (permissive) |
| Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning |
23 Feb 2016 |
kobiso/CBAM-tensorflow/Inception_v4.py f891cdc1c30186df |
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MIT (permissive) |
| Effective Approaches to Attention-based Neural Machine Translation |
17 Aug 2015 |
identical code first harvested elsewhere 2a74b7a19b47b566 |
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| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
davidsandberg/facenet/src/calculate_filtering_metrics.py a82486571161a870 |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
davidsandberg/facenet/src/classifier.py d92c614160197911 |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
davidsandberg/facenet/src/compare.py 87d1df4dbd89d230 |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
davidsandberg/facenet/src/validate_on_lfw.py e5746d8d7bb88d4e |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
eewindfly/facenet/src/calculate_filtering_metrics.py ec7f18c829922c0d |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
eewindfly/facenet/src/compare.py 98abf15832cb7c58 |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
eewindfly/facenet/src/download_vgg_face_dataset.py 44b24dcf0e47dceb |
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MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering |
12 Mar 2015 |
eewindfly/facenet/src/infer.py cb33e0f36fcc8c79 |
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MIT (permissive) |
| Sequence to Sequence Learning with Neural Networks |
10 Sep 2014 |
hnt4499/seq2seq/scripts/train_and_evaluate.py 2a74b7a19b47b566 |
ran · our draft was wrong
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MIT (permissive) |
| Neural Machine Translation by Jointly Learning to Align and Translate |
1 Sep 2014 |
identical code first harvested elsewhere 2a74b7a19b47b566 |
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| Challenges in Representation Learning: A report on three machine learning contests |
1 Jul 2013 |
justinshenk/fer/src/fer/fer.py f362c8c447e17b24 |
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MIT (permissive) |
| arXiv:ijcai2021_0082 |
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BioNN-InfoTech/visual-probes/ACE/ace_run.py bf9ed01f6e964a95 |
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MIT (permissive) |