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2026-09 (from id) |
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2026-08 (from id) |
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2026-07 (from id) |
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2026-07 (from id) |
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2026-06 (from id) |
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2026-06 (from id) |
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2026-06 (from id) |
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MIT (permissive) |
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2026-06 (from id) |
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2026-05 (from id) |
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MIT (permissive) |
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2026-05 (from id) |
xiaofeng-github/CLUBench/CLUBench/algorithms/DIVC.py 47d9f496a3f5f2d3 |
ran
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MIT (permissive) |
| CLUBench: A Clustering Benchmark added by Syntology |
2026-05 (from id) |
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ran
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MIT (permissive) |
| CLUBench: A Clustering Benchmark added by Syntology |
2026-05 (from id) |
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2026-05 (from id) |
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MIT (permissive) |
| Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models added by Syntology |
2026-05 (from id) |
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2026-05 (from id) |
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2026-05 (from id) |
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2026-05 (from id) |
phan-tho/Bilevel-balancing-kd/train_student.py 065d2cb0ad758aed |
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2026-05 (from id) |
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| The Geometric Structure of Models Learning Sparse Data added by Syntology |
2026-05 (from id) |
ThomasWalker1/RFAM/utils/rfm.py 6ec0ce87d7ed07f5 |
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2026-05 (from id) |
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MIT (permissive) |
| Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models added by Syntology |
2026-04 (from id) |
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MIT (permissive) |
| Gradient Flow Polarizes Softmax Outputs towards Low-Entropy Solutions added by Syntology |
2026-03 (from id) |
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2026-02 (from id) |
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2026-02 (from id) |
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2026-02 (from id) |
sun-jiao/MetaFGNet/MetaFGNet_with_Sample_Selection/trainer.py 98d6f3bacdbea87a |
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MIT (permissive) |
| Quantifying Avian Morphological Evolution through Deep Representation Learning added by Syntology |
2026-02 (from id) |
sun-jiao/MetaFGNet/MetaFGNet_without_Sample_Selection/trainer.py 3236c67cd90174fa |
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MIT (permissive) |
| -I ∈ R n×n : The Identity matrix; -A ∈ [0, 1] n×n : The Adjacency matrix of G; -D ∈ R n×n : The degree matrix, i.e., a diagonal matrix defined as D ii = ∑ n i=1 a ij ; -A ∈ R n×n : The normalized adjacency matrix of G, i.e., A = D -1/2 AD -1/2 ; -L ∈ R n×n : The Unnormalised Laplacian matrix of G; -Q ∈ R n×n : The Signless Laplacian matrix of G; -L rw ∈ R n×n : The Random-walk Normalised Laplacian of G; vii -L sym ∈ R n×n : The Symmetric Normalised Laplacian matrix of G; -Â ∈ R n×n : The Normalised Adjacency matrix of G; λ 1 (L rw ) : The Equidistribution radius of G; ϱ r (H) : The Normalized Spectral Gap of G; -X G ∈ R n×K , or simply X ∈ R n×K : The node feature matrix of the graph G, obtained by stacking up all x i vectors added by Syntology |
2026-02 (from id) |
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MIT (permissive) |
| Rendering Data Unlearnable by Exploiting LLM Alignment Mechanisms added by Syntology |
2026-01 (from id) |
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2025-12 (from id) |
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MIT (permissive) |
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2025-11 (from id) |
M-Nauta/TCDF/TCDF.py 370f9d40e486fc23 |
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2025-10 (from id) |
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2025-10 (from id) |
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2025-09 (from id) |
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| GNNXEMPLAR: Exemplars to Explanations -Natural Language Rules for Global GNN Interpretability added by Syntology |
2025-09 (from id) |
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| GNNXEMPLAR: Exemplars to Explanations -Natural Language Rules for Global GNN Interpretability added by Syntology |
2025-09 (from id) |
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2025-09 (from id) |
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Apache-2.0 (permissive) |
| arXiv:2507.20163 |
2025-07 (from id) |
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| arXiv:2507.20163 |
2025-07 (from id) |
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| Molecular Machine Learning Using Euler Characteristic Transforms |
4 Jul 2025 |
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| Improving Memory Efficiency for Training KANs via Meta Learning |
9 Jun 2025 |
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| The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning |
29 May 2025 |
leopold1423/fedmud-icml25/train/trainer.py 27cbdeab90a7fc0d |
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26 May 2025 |
HyberionBrew/difflogic_verify/train_model.py c9d259cd59abf3c7 |
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MIT (permissive) |
| Agentic Predictor: Performance Prediction for Agentic Workflows via Multi-View Encoding |
26 May 2025 |
deepauto-ai/agentic-predictor/agent_predictor/train_mvgnn.py 30f9fa49f5eecb6a |
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MIT (permissive) |
| Unpacking Positional Encoding in Transformers: A Spectral Analysis of Content-Position Coupling |
19 May 2025 |
Qihuai27/Deposit-Pattern-Research/count_gen/2_models/mla.py f7002b57212e6f6f |
ran · honoured contract
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MIT (permissive) |
| FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare |
15 Apr 2025 |
wph6/fhbench/Audio_Lora/core/traineval.py adf461a24e27811e |
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Apache-2.0 (permissive) |
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22 Mar 2025 |
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| Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment |
21 Mar 2025 |
ImIntheMiddle/EmLoco/EqMotion/main_eth_diverse.py 74dc8d1665324c49 |
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MIT (permissive) |
| A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models |
20 Feb 2025 |
thudm/moelora_riemannian/train_llama.py 5be4c50239d0eed7 |
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| DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks |
1 Feb 2025 |
pmsdapfmbf/duet/BO.py cc175e23e0a2d108 |
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Apache-2.0 (permissive) |
| Dataset Distillation via Committee Voting |
13 Jan 2025 |
jiacheng8/cv-dd/squeeze/squeeze_imagenet1k_prior.py ff01d3802d4ba4b2 |
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MIT (permissive) |
| Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms |
10 Jan 2025 |
JayC1208/Q-MAML/mol_pretrain.py a1df49500665d958 |
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MIT (permissive) |
| Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms |
10 Jan 2025 |
JayC1208/Q-MAML/xyz_pretrain.py 2d25e9e17df1e84f |
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MIT (permissive) |
| A Large-Scale Study on Video Action Dataset Condensation |
30 Dec 2024 |
mcg-nju/video-dc/val.py 98d8180630eb3d57 |
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Apache-2.0 (permissive) |
| Quantifying Positional Biases in Text Embedding Models |
13 Dec 2024 |
sgoel97/neurips-embedding-positional-bias/finetune.py 46d3e1bae86d145b |
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MIT (permissive) |
| Benchmarking and Understanding Compositional Relational Reasoning of LLMs |
17 Dec 2024 |
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| Covered Forest: Fine-grained generalization analysis of graph neural networks |
10 Dec 2024 |
benfinkelshtein/CoveredForests/utils/trainer.py 184919a11c57d04d |
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MIT (permissive) |
| Competition Dynamics Shape Algorithmic Phases of In-Context Learning |
1 Dec 2024 |
cfpark00/markov-mixtures/mltools/ml_utils.py 36d847cba1e96c54 |
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MIT (permissive) |
| Multimodal Whole Slide Foundation Model for Pathology |
29 Nov 2024 |
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| Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation |
28 Nov 2024 |
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| Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework |
19 Nov 2024 |
ismailnejjar/RRDA/train_source.py a3adf02695ba72c3 |
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MIT (permissive) |
| CV-Cities: Advancing Cross-View Geo-Localization in Global Cities |
19 Nov 2024 |
gaoshuang98/cvcities/cvcities_base/trainer.py 61b2774538a60499 |
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| Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity |
7 Nov 2024 |
AMLab-Amsterdam/DIVA/paper_experiments/malaria/diva/experiment_diva_top10_resnet_new.py 8c933ed6e26dcecc |
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MIT (permissive) |
| Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation |
7 Nov 2024 |
lcs2-iiitd/monteclora/finetune.py 7852c586e42377d2 |
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Apache-2.0 (permissive) |
| DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts |
5 Nov 2024 |
celin-yao/da-moe/graph_classification/train/main_graph.py 9839952e23a76564 |
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| DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts |
5 Nov 2024 |
celin-yao/da-moe/node_classification/main_node_arxiv.py 3bbf2963d8be10dd |
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4 Nov 2024 |
liuyijungoon/tal/trainer/train_TAL.py 1c7f6c7e81a98693 |
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MIT (permissive) |
| OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning |
4 Nov 2024 |
niusj03/owmatch/owmatch.py 17795ae706d474a4 |
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MIT (permissive) |
| Federated Black-Box Adaptation for Semantic Segmentation |
31 Oct 2024 |
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| Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition |
28 Oct 2024 |
keke921/gnm-pt/vtab/train_full.py 5a7b1c8f58adefd0 |
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MIT (permissive) |
| Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition |
28 Oct 2024 |
Keke921/GNM-PT/train_full-lmk-st2.py 8a2d99dd6fd9f0de |
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MIT (permissive) |
| Neuro-symbolic Learning Yielding Logical Constraints |
28 Oct 2024 |
lizn-zn/nesy-programming/Chain-XOR/nn_utils.py f9b62e48fb3851e5 |
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| DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets |
17 Oct 2024 |
moiexpositoalonsolab/DivShift/src/supervised_train.py 8cecb34f0bcef7ce |
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MIT (permissive) |
| Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models |
22 Oct 2024 |
sy-shi/RLAIF_ScoreDiff/train_rm.py dd0ba84e7526171f |
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| LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices |
2024-10 (from id) |
alexyyds2024/lora-C/train_lora.py 22aa24adf1dcd435 |
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Apache-2.0 (permissive) |
| REEF: Representation Encoding Fingerprints for Large Language Models |
18 Oct 2024 |
tmylla/reef/src/train_cls_gcn.py 66d2718c00dfd494 |
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| High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching |
14 Oct 2024 |
Leyangw/tsm/demo_ROC_ratio.py 31a43b5aa312ddc4 |
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| MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning |
12 Oct 2024 |
pumpkin-co/mtl-lora/lora_finetune.py 6cf4a819aa35986b |
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MIT (permissive) |
| MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning |
12 Oct 2024 |
pumpkin-co/mtl-lora/lora_finetune_single.py 823409f0ab13f67c |
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MIT (permissive) |
| DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback |
7 Oct 2024 |
flash-36/DOPL/dopl/train/algos/dopl.py de762eb83b6b40ad |
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| Hyperbolic Fine-tuning for Large Language Models |
5 Oct 2024 |
marlin-codes/HypLLM/finetune_gemma.py 89be12b59a6331d6 |
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| Hyperbolic Fine-tuning for Large Language Models |
5 Oct 2024 |
marlin-codes/HypLLM/finetune_gemma7b.py 265773714d80dabf |
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| Hyperbolic Fine-tuning for Large Language Models |
5 Oct 2024 |
marlin-codes/HypLLM/finetune_llama3.py fbba0cdd6457bbf4 |
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| Hyperbolic Fine-tuning for Large Language Models |
5 Oct 2024 |
marlin-codes/HypLLM/finetune_qwen.py 1200fafec7c5e3d1 |
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| Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models |
26 Sep 2024 |
hui-po-wang/lm-gc/train_and_collect_grad.py a14e485102e0eff2 |
ran · honoured contract
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MIT (permissive) |
| HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection |
26 Sep 2024 |
deeplearning-wisc/haloscope/linear_probe.py e01d82ee5f1bfbdd |
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| Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks |
18 Sep 2024 |
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| Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution |
18 Sep 2024 |
yangyucheng000/University/PDF_MS/trainner.py 2fe12723d2eed03d |
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| SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning |
24 Aug 2024 |
daviddaiiiii/san-peft/train_code/SAN_base.py 7ba3eaccb626f19f |
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| Safety Layers in Aligned Large Language Models: The Key to LLM Security |
30 Aug 2024 |
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| Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning |
29 Aug 2024 |
aminbana/MTL-Theory/train_continual.py 422741d97a377fc1 |
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| Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-training |
15 Aug 2024 |
ming-er/mga-clap/pretrain.py 2570f2ac20b362fe |
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| The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery |
12 Aug 2024 |
sakanaai/ai-scientist/example_papers/layerwise_lr_grokking/experiment.py a8a8eb2391a886e7 |
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| The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery |
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Apache-2.0 (permissive) |
| KAN or MLP: A Fairer Comparison |
23 Jul 2024 |
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19 Jul 2024 |
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| A Theoretical Formulation of Many-body Message Passing Neural Networks |
16 Jul 2024 |
jthh/many-body-mpnn/utils.py 4dd698b1c78ec59a |
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| Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers |
16 Jul 2024 |
SPOC-group/counting-attention/random_embd/memory_exp.py a543f8665b98f5d4 |
unverified |
no licence file found · pointer only |
| Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation |
9 Jul 2024 |
Shen-Lab/GDA-SpecReg/paper_topic_classification/ogbn_arxiv_unsupervised/gnn.py 82f54a95d4951b19 |
ran · our draft was wrong
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Apache-2.0 (permissive) |
| Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation |
9 Jul 2024 |
Shen-Lab/GDA-SpecReg/paper_topic_classification/ogbn_arxiv_semisupervised/gnn.py 758d5dd9e231d846 |
ran
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Apache-2.0 (permissive) |
| Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation |
9 Jul 2024 |
Shen-Lab/GDA-SpecReg/paper_topic_classification/ogbn_arxiv_unsupervised/gnn_da.py 20a9feb6dd535706 |
ran
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Apache-2.0 (permissive) |
| Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation |
9 Jul 2024 |
Shen-Lab/GDA-SpecReg/paper_topic_classification/ogbn_arxiv_semisupervised/gnn_da.py 0b6755f3ee7c7fde |
unverified |
Apache-2.0 (permissive) |
| Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems |
15 Jul 2024 |
ancientshi/erm4/finetune_gemma_rewriter.py 7268f2124fba73a9 |
unverified |
licence not identified · pointer only |
| Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective |
10 Jul 2024 |
fuchs-lab-public/cpath_sabenchmark/code/train_classification_model_report.py fb7240786a8186f7 |
unverified |
MIT (permissive) |
| Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective |
10 Jul 2024 |
fuchs-lab-public/cpath_sabenchmark/code/train_classification_mccv.py 74e7e7b0af0e3d0b |
unverified |
MIT (permissive) |
| GLBench: A Comprehensive Benchmark for Graph with Large Language Models |
10 Jul 2024 |
nineabyss/glbench/models/gnn/mlp.py fffc14ec419e60ce |
ran
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MIT (permissive) |
| CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images |
5 Jul 2024 |
jsshin98/CanonicalFusion/reconstructor/train_color2model.py bc70e3c7eb7c1354 |
unverified |
MIT (permissive) |
| KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning |
26 Jun 2024 |
RomanBresson/KAGNN/graph_classification/graph_classification_utils.py 5ca873d38e249a8f |
ran
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| Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell |
20 Jun 2024 |
TaiMingLu/know-dont-tell/code/probe/probe.py 9589a134d9eac768 |
unverified |
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| Neuro-symbolic Training for Reasoning over Spatial Language |
19 Jun 2024 |
premsrit/SPARTUNQChain/main_rel.py 9519ecd7a0509878 |
unverified |
no licence file found · pointer only |
| Strengthening Layer Interaction via Dynamic Layer Attention |
19 Jun 2024 |
tunantu/dynamic-layer-attention/image_classification/imagenet/train_pro.py d6a70da7dc77eebd |
ran
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no licence file found · pointer only |
| Convolutional Kolmogorov-Arnold Networks |
19 Jun 2024 |
antoniotepsich/convolutional-kans/evaluations.py 6bfd9d473bd3943b |
ran
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MIT (permissive) |
| Ask-before-Plan: Proactive Language Agents for Real-World Planning |
18 Jun 2024 |
magicgh/ask-before-plan/src/finetune.py 4b9384d019401c5a |
unverified |
MIT (permissive) |
| On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning |
16 Jun 2024 |
jh-oh-23/sup-ancl/linear.py 301ca971eacdfdcb |
ran · fixture could not drive it
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MIT (permissive) |
| Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights |
15 Jun 2024 |
currytang/tsgfm/fulllink.py 41057c04e7b22f04 |
ran · honoured contract
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MIT (permissive) |
| TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs |
14 Jun 2024 |
Zhuofeng-Li/TEG-Benchmark/GNN/GNN_Link_HitsK.py b9125d103f13768d |
ran
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MIT (permissive) |
| TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs |
14 Jun 2024 |
Zhuofeng-Li/TEG-Benchmark/GNN/GNN_Link_HitsK_loader.py 93ed7f8d21768471 |
ran
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MIT (permissive) |
| TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs |
14 Jun 2024 |
Zhuofeng-Li/TEG-Benchmark/GNN/GNN_Link_MRR.py ad21068f2893ab5c |
ran
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MIT (permissive) |
| TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs |
14 Jun 2024 |
Zhuofeng-Li/TEG-Benchmark/GNN/GNN_Link_MRR_loader.py 70a4a68841982fea |
ran
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MIT (permissive) |
| TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs |
14 Jun 2024 |
Zhuofeng-Li/TEG-Benchmark/GNN/GNN_Node.py 4f3238930893cc90 |
unverified |
MIT (permissive) |
| Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer |
13 Jun 2024 |
graph-and-geometric-learning/frame-averaging-transformer/faformer/app/aptamer_aff_train.py 145d6b278ec8e06c |
unverified |
no licence file found · pointer only |
| Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning |
10 Jun 2024 |
allanraventos/getrichquick/two-layer-relu/utils.py 184ff0807fd1777f |
ran
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MIT (permissive) |
| MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter |
7 Jun 2024 |
currentf/meft/full_finetune.py 5b7dee34064b4f2d |
unverified |
no licence file found · pointer only |