| EEG-PRISM: Physiologically-Grounded Interpretability of Predictions by EEG Foundation Models added by Syntology |
2026-08 (from id) |
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2026-05 (from id) |
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| Universal Approximation Constraints of Narrow ResNets: The Tunnel Effect added by Syntology |
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2026-01 (from id) |
X-LANCE/SLAM-LLM/src/slam_llm/models/slam_model.py a9723f976415fae3 |
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2025-10 (from id) |
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9 Jun 2025 |
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| Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization |
12 Nov 2024 |
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3 Nov 2024 |
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30 Oct 2024 |
leolee99/injecguard/util.py 00f2b41a4116f1f4 |
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| DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation |
3 Oct 2024 |
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4 Oct 2024 |
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1 Jul 2024 |
gpoesia/mathcamps/analysis.py 5a79c6682974a9b5 |
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24 Jun 2024 |
kiddyboots216/lottery-ticket-adaptation/rlaif/eval_model_all.py 6619147dea2d2ff6 |
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| On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning |
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jh-oh-23/sup-ancl/transfer.py 48afbec326335e94 |
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| Potion: Towards Poison Unlearning |
13 Jun 2024 |
if-loops/towards_poison_unlearning/visualize.py 1808b5d76587f897 |
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| Understanding Inter-Concept Relationships in Concept-Based Models |
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| Understanding Inter-Concept Relationships in Concept-Based Models |
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| Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning |
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Gank0078/FineSSL/utils/evaluator.py da48cf51668411a0 |
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p-b-u/proxy_based_uncertainty/Proxy-Uncertainty-Training-LLaMa-Factory/src/llmtuner/tuner/rm/metric.py 34c717348b9652b8 |
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lmb-freiburg/two-effects-one-trigger/analysis/gap_precompute.py 08e7bba3e22dab87 |
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| Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning |
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| Corrective Machine Unlearning |
21 Feb 2024 |
drimpossible/corrective-unlearning-bench/logs/visualize.py 1808b5d76587f897 |
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17 Jan 2024 |
sirabas369/DiffClone/toto_benchmark/vision/pvr_model_training.py 1263c50ebe6172a3 |
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| Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks |
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bic-l/burst-ann2snn/general_utils/spiking_layer.py 38b283cfdea44e8b |
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| PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids |
8 Nov 2023 |
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28 Oct 2023 |
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| Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions |
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12 Oct 2023 |
yxli2123/loftq/test_gsm8k.py 6d89eb39c2cd1646 |
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| AtomSurf : Surface Representation for Learning on Protein Structures |
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28 Jun 2023 |
plus-rkwitt/latentsdeonhs/activity_classification.py 75a1b0d78086afa8 |
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| Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization |
15 Jun 2023 |
swarnaHub/ExplanationIntervention/src/student_model.py d46ff19844104d81 |
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| Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations |
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| Train Offline, Test Online: A Real Robot Learning Benchmark |
1 Jun 2023 |
AGI-Labs/toto_benchmark/toto_benchmark/vision/pvr_model_training.py 1263c50ebe6172a3 |
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| Synaptic Weight Distributions Depend on the Geometry of Plasticity |
30 May 2023 |
romanpogodin/synaptic-weight-distr/finetuning.py 257ce0b1a219166c |
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| EMP-SSL: Towards Self-Supervised Learning in One Training Epoch |
8 Apr 2023 |
tsb0601/emp-ssl/evaluate.py 1608268b36d9d53f |
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| UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification |
18 Mar 2023 |
yanliang3612/UNREAL/models/Summer.py 00a374c740d0efb3 |
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| Data-centric Artificial Intelligence: A Survey |
17 Mar 2023 |
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| On the Efficacy of Differentially Private Few-shot Image Classification |
2 Feb 2023 |
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| COPEN: Probing Conceptual Knowledge in Pre-trained Language Models |
8 Nov 2022 |
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| A Systematic Survey of Chemical Pre-trained Models |
29 Oct 2022 |
junxia97/mole-bert/pretrain.py 1d31c46fec1fe3d1 |
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25 Oct 2022 |
umd-huang-lab/SWIFT/Utils/Misc.py 6e8adbb131ab347a |
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MIT (permissive) |
| Attention Diversification for Domain Generalization |
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hikvision-research/DomainGeneralization/dassl/metrics/accuracy.py da48cf51668411a0 |
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| Federated Learning with Label Distribution Skew via Logits Calibration |
1 Sep 2022 |
bytedance/feddecorr/approach/fedlogitcal.py e7e5bb878fd22400 |
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| Meta-learning Spiking Neural Networks with Surrogate Gradient Descent |
26 Jan 2022 |
nmi-lab/snn_maml/snn_maml/utils.py 58242025465b988c |
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| Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft |
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MIT (permissive) |
| Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft |
7 Dec 2021 |
viniciusguigo/kairos_minerl_basalt/kairos_minerl/src/kairos_minerl/state_classifier.py 9fd4e3706a238d72 |
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| Improving Transferability of Representations via Augmentation-Aware Self-Supervision |
18 Nov 2021 |
hankook/AugSelf/transfer_linear_eval.py 4c7df3c8287f477f |
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26 Oct 2021 |
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| Learning Optimal Conformal Classifiers |
18 Oct 2021 |
deepmind/conformal_training/evaluation.py 2504d3a1635ed126 |
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| Supervised Compression for Resource-Constrained Edge Computing Systems |
21 Aug 2021 |
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| Memory Efficient Meta-Learning with Large Images |
2 Jul 2021 |
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MIT (permissive) |
| A Survey of Knowledge Tracing: Models, Variants, and Applications |
6 May 2021 |
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| Linguistic Structure Guided Context Modeling for Referring Image Segmentation |
1 Oct 2020 |
spyflying/LSCM-Refseg/util/processing_tools.py 194457507e72807b |
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MIT (permissive) |
| Meta-Consolidation for Continual Learning |
1 Oct 2020 |
JosephKJ/merlin/lib/consolidate.py 6d1affa42db4b765 |
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| Knowledge Distillation Meets Self-Supervision |
12 Jun 2020 |
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| Leveraging the Feature Distribution in Transfer-based Few-Shot Learning |
6 Jun 2020 |
mbonto/fewshot_neuroimaging_classification/SimpleShot/functions.py a280c947612b8a09 |
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MIT (permissive) |
| Graph Random Neural Network for Semi-Supervised Learning on Graphs |
22 May 2020 |
junzhuang-code/graphss/graphSS/models_SS.py d22f6a0cb53e22bc |
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| Contrastive Self-Supervised Learning for Commonsense Reasoning |
2 May 2020 |
SAP-samples/acl2020-commonsense/scorer.py ff87d20ae15918c9 |
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| Learning from Rules Generalizing Labeled Exemplars |
13 Apr 2020 |
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| Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning |
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| A Game Theoretic Approach to Class-wise Selective Rationalization |
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code-terminator/classwise_rationale/core/metric.py d51408db9fe03765 |
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MIT (permissive) |
| Similarity-Preserving Knowledge Distillation |
23 Jul 2019 |
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| Strategies for Pre-training Graph Neural Networks |
29 May 2019 |
snap-stanford/pretrain-gnns/bio/pretrain_masking.py 1d31c46fec1fe3d1 |
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MIT (permissive) |
| Relational Knowledge Distillation |
10 Apr 2019 |
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| Deep Learning for Anomaly Detection: A Survey |
10 Jan 2019 |
fastforwardlabs/deepad/utils/eval_utils.py b259a84b8a375955 |
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| Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks |
24 Oct 2018 |
stanford-iprl-lab/multimodal_representation/multimodal/utils.py dcf160ba03ce4e37 |
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| Deeper, Broader and Artier Domain Generalization |
9 Oct 2017 |
xch-liu/geom-tex-dg/Dassl/dassl/metrics/accuracy.py da48cf51668411a0 |
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MIT (permissive) |
| Prototypical Networks for Few-shot Learning |
15 Mar 2017 |
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| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks |
9 Mar 2017 |
SinghJasdeep/Projecting-Conflicting-Gradients/maml/utils.py 58242025465b988c |
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MIT (permissive) |
| Distilling the Knowledge in a Neural Network |
9 Mar 2015 |
yoshitomo-matsubara/torchdistill/examples/torchvision/image_classification.py a427a6169de8f607 |
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| FitNets: Hints for Thin Deep Nets |
19 Dec 2014 |
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| arXiv:2025.findings-acl.1225 |
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| arXiv:2025.acl-long.1468 |
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leolee99/PIGuard/util.py 00f2b41a4116f1f4 |
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MIT (permissive) |