| CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection added by Syntology |
2026-09 (from id) |
Tian0426/CATeye/utils.py 25666e4423367cd6 |
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| Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders added by Syntology |
2026-08 (from id) |
rgbeing/CAIRO/profiler/train_fs.py e2a626e5f7cb538f |
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| LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation added by Syntology |
2026-07 (from id) |
iamjingli/LFM/train_target.py fe73cf9445756920 |
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MIT (permissive) |
| FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning added by Syntology |
2026-06 (from id) |
MaxH1996/FedXDS/feature_fedxds.py 6d102b5269b0c1bd |
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2026-06 (from id) |
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Apache-2.0 (permissive) |
| Let's Ask Gauss: Improved One-Run Privacy Auditing added by Syntology |
2026-06 (from id) |
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2026-06 (from id) |
bl-ake/ICLR-2026/experiments.py 5ee08aeec9da286c |
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| CLUBench: A Clustering Benchmark added by Syntology |
2026-05 (from id) |
xiaofeng-github/CLUBench/CLUBench/algorithms/CC.py fb2661c1f273dcdf |
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MIT (permissive) |
| CLUBench: A Clustering Benchmark added by Syntology |
2026-05 (from id) |
xiaofeng-github/CLUBench/CLUBench/algorithms/DIVC.py cf35aad7d0c5fa37 |
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MIT (permissive) |
| CLUBench: A Clustering Benchmark added by Syntology |
2026-05 (from id) |
xiaofeng-github/CLUBench/CLUBench/algorithms/PICA.py 5bbb107a05f6eb61 |
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MIT (permissive) |
| Max-pooling Network Revisited: Analyzing the Role of Semantic Probability in Multiple Instance Learning for Hallucination Detection added by Syntology |
2026-05 (from id) |
FUJI1229/Hallucination_Detection/Detection/validate.py 9d031ee05ad849e1 |
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MIT (permissive) |
| HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer added by Syntology |
2026-03 (from id) |
danny0628/HEART-PFL/aggregation/distillation.py 6742d7a324b62056 |
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| -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) |
Sennadir/GCORN/utils.py fac5c5a475110d7a |
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MIT (permissive) |
| FSD-CAP: Fractional Subgraph Diffusion with Class-Aware Propagation for Graph Feature Imputation added by Syntology |
2026-01 (from id) |
ssjcode/FSD-CAP/evaluation.py 9733b195c5feec38 |
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| LLM Augmented Intervenable Multimodal Adaptor for Post-operative Complication Prediction in Lung Cancer Surgery added by Syntology |
2026-01 (from id) |
KNITPhoenix/MIRACLE/inference.py 27c7f336efaeddd2 |
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| DeepLeak: Privacy Enhancing Hardening of Model Explanations Against Membership Leakage added by Syntology |
2026-01 (from id) |
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| Massive Editing for Large Language Models Based on Dynamic Weight Generation added by Syntology |
2025-12 (from id) |
RodeWayne/MeG-for-Knowledge-Editing/train_neuron.py 22698492eed06605 |
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| Dual Randomized Smoothing: Beyond Global Noise Variance added by Syntology |
2025-12 (from id) |
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2025-10 (from id) |
aliaaz99/moments2models/gmam/encoder.py cd1a8f0d7dcf46b6 |
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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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| Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection added by Syntology |
2025-08 (from id) |
CcQunResearch/RAGCL/Main/main(pretrain).py 07c1c9d770c43c9d |
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| Molecular Machine Learning Using Euler Characteristic Transforms |
4 Jul 2025 |
victosdur/ectformoleculelearningtask/utils.py cf2930b6b0ce6c1c |
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Apache-2.0 (permissive) |
| Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection |
17 Jun 2025 |
ZhijingWan/RAM-APL/utils.py 3c58f9cd3def9743 |
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MIT (permissive) |
| Improving Memory Efficiency for Training KANs via Meta Learning |
9 Jun 2025 |
murphyzc/metakan/function_fitting/train_hyper.py 8a688f23d22db1ae |
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| Improving Memory Efficiency for Training KANs via Meta Learning |
9 Jun 2025 |
murphyzc/metakan/image_classification/train_meta.py 8eaee068bab1dbe7 |
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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 efd45416873e40d6 |
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| SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity |
2025-03 (from id) |
zhuwei321/SMTPD/fe.py 14b2d03f943acced |
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Apache-2.0 (permissive) |
| Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal |
14 Feb 2025 |
jp-guo/CODiff/utils/utils_model.py 8afaf26fe2391d00 |
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MIT (permissive) |
| BotSim: LLM-Powered Malicious Social Botnet Simulation |
2024-12 (from id) |
qqqqqqby/botsim/BotSim-24-Exp/Method/GNN-Based/BotRGCN.py 10ee4fee0870bb50 |
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| Covered Forest: Fine-grained generalization analysis of graph neural networks |
10 Dec 2024 |
benfinkelshtein/CoveredForests/utils/trainer.py c691d4509645b00a |
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MIT (permissive) |
| Data Free Backdoor Attacks |
9 Dec 2024 |
AAAAAAsuka/DataFree_Backdoor_Attacks/handcrafted_backdoor.py 7879e76c2a733e4a |
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MIT (permissive) |
| ContextGNN: Beyond Two-Tower Recommendation Systems |
29 Nov 2024 |
kumo-ai/ContextGNN/benchmark/relbench_link_prediction_benchmark.py d7c1cd833b104e40 |
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MIT (permissive) |
| Trap-MID: Trapdoor-based Defense against Model Inversion Attacks |
13 Nov 2024 |
ntuaislab/Trap-MID/engine.py 26ebe515279a4189 |
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MIT (permissive) |
| 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 41ecd72a1b2446e5 |
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MIT (permissive) |
| DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts |
5 Nov 2024 |
identical code first harvested elsewhere 8e6629dff4ea0a71 |
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licence of this copy not recorded |
| DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts |
5 Nov 2024 |
celin-yao/da-moe/link_prediction/main_link_ddi.py df2960ace0a8870f |
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| 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 2bd54b1565228864 |
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| Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks |
31 Oct 2024 |
graphminddartmouth/graph-consistency/train_dist.py 3cfa661c8712d805 |
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| COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences |
30 Oct 2024 |
yale-nlp/comal/mle.py e8f03c37313f8363 |
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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 219dfdb155d57f14 |
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Apache-2.0 (permissive) |
| Vision-Language Models are Strong Noisy Label Detectors |
29 Sep 2024 |
HotanLee/DeFT/main_small_loss.py db80cb31193f92b1 |
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MIT (permissive) |
| Vision-Language Models are Strong Noisy Label Detectors |
29 Sep 2024 |
HotanLee/DeFT/main_phase1.py c8a8e3f0b597c1e7 |
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MIT (permissive) |
| 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 2341b0a9750434aa |
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MIT (permissive) |
| Accelerating Training with Neuron Interaction and Nowcasting Networks |
6 Sep 2024 |
samsungsailmontreal/nino/train_vision.py 9f17a5e0c5f927ac |
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MIT (permissive) |
| Masked Random Noise for Communication Efficient Federated Learning |
6 Aug 2024 |
Leopold1423/fedmrn-mm24/train/trainer.py 8671511823d366de |
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| FedBAT: Communication-Efficient Federated Learning via Learnable Binarization |
6 Aug 2024 |
leopold1423/fedbat-icml24/train/trainer.py 2e802c7ca8369630 |
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| KAN or MLP: A Fairer Comparison |
23 Jul 2024 |
yu-rp/kanbefair/src/train_continual_learning.py 437a9a59c72a2824 |
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| CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation |
23 Jul 2024 |
shimazing/CloudFixer/train_classifier.py 181c563360b63a31 |
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MIT (permissive) |
| Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships |
17 Jul 2024 |
mitvis/abstraction-alignment/util/cifar/cifar_train.py 2137246c139ab515 |
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| Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation |
9 Jul 2024 |
Shen-Lab/GDA-SpecReg/paper_topic_classification/ogbn_arxiv_semisupervised/gnn.py 8e6629dff4ea0a71 |
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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 f556b6370898ea98 |
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Apache-2.0 (permissive) |
| 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 e88f66866c7ddd7e |
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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 d958766f3c0b3050 |
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MIT (permissive) |
| GLBench: A Comprehensive Benchmark for Graph with Large Language Models |
10 Jul 2024 |
nineabyss/glbench/models/gnn/mlp.py 288cb7fe1150b5f3 |
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| LPViT: Low-Power Semi-structured Pruning for Vision Transformers |
2 Jul 2024 |
Akimoto-Cris/LPViT/prune_vit.py 49e75bdeacd88ac2 |
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| KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning |
26 Jun 2024 |
RomanBresson/KAGNN/graph_classification/graph_classification_utils.py e50ff32e95107f76 |
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| Blind Baselines Beat Membership Inference Attacks for Foundation Models |
23 Jun 2024 |
ethz-spylab/Blind-MIA/greedy_selection.py 69750e7e1081b702 |
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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 100abc954d0cb892 |
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| Convolutional Kolmogorov-Arnold Networks |
19 Jun 2024 |
antoniotepsich/convolutional-kans/evaluations.py a94b7906c48041ba |
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MIT (permissive) |
| Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights |
15 Jun 2024 |
currytang/tsgfm/fulllink.py c07e3d3c16bd2618 |
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MIT (permissive) |
| Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data |
15 Jun 2024 |
vanillaer/cpl-icml2024/LaFTer/LaFTer.py 819322964b74fbe7 |
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| TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs |
14 Jun 2024 |
Zhuofeng-Li/TEG-Benchmark/GNN/GNN_Link_HitsK.py f0581e5668ba1873 |
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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 64d97bf20e2f647a |
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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 8b3cabb047d30449 |
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| IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning |
14 Jun 2024 |
RingBDStack/IGL-Bench/IGL_Bench/algorithm/DPGNN/learn.py 41233a7e838d93ea |
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MIT (permissive) |
| Enhancing Domain Adaptation through Prompt Gradient Alignment |
13 Jun 2024 |
viethoang1512/pga/LA/main_uda.py 6301fb5daaeef4c9 |
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| Building Socially-Equitable Public Models |
4 Jun 2024 |
ren-research/socially-equitable-public-models/main_dc_workload.py a8ee0ad3676880ed |
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MIT (permissive) |
| Building Socially-Equitable Public Models |
4 Jun 2024 |
ren-research/socially-equitable-public-models/main_ev_charging.py 0315b6ba6612e7d3 |
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MIT (permissive) |
| Invisible Backdoor Attacks on Diffusion Models |
2 Jun 2024 |
linweiii/backdoordm/classifier_models/train_classifiers.py 5ba3ce200e91c692 |
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MIT (permissive) |
| SLMRec: Distilling Large Language Models into Small for Sequential Recommendation |
28 May 2024 |
WujiangXu/SLMRec/train_sr_trad.py 294d1fd7209600af |
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| Compositional Few-Shot Class-Incremental Learning |
27 May 2024 |
zoilsen/comp-fscil/models/base/helper.py 7e0029dd3479294e |
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MIT (permissive) |
| DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models |
27 May 2024 |
yuanzhi-zhu/DiffPIR/utils/utils_model.py 8b2b14a90a19fbe2 |
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MIT (permissive) |
| Few-shot Tuning of Foundation Models for Class-incremental Learning |
26 May 2024 |
shuvenduroy/coact-fscil/methods/helper.py 4d2b757d67335855 |
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MIT (permissive) |
| Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level |
26 May 2024 |
Leirunlin/Text-level-Graph-Attack/gnn_misg.py 768b8716889709e2 |
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| GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning |
25 May 2024 |
glycanml/glycanml/scripts/run_single.py c14d8e800dd48191 |
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| Similarity-Navigated Conformal Prediction for Graph Neural Networks |
23 May 2024 |
janqsong/SNAPS/ogbn-arxiv.py 8e6629dff4ea0a71 |
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| IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency |
16 May 2024 |
thuyimingli/backdoorbox/core/defenses/IBD_PSC.py 4689f052cb4bdf86 |
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| Gradient-Regularized Out-of-Distribution Detection |
18 Apr 2024 |
o4lc/greg-ood/train_sea.py edd782373ad774f1 |
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| Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering |
18 Apr 2024 |
gewu-lab/music-avqa/net_grd_avst/main_avst.py 73f55fb868a26848 |
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MIT (permissive) |
| The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data |
17 Apr 2024 |
zixuan-zhu/vab/functions_ImageNet.py 60e449e5c49fc546 |
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| InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification |
17 Apr 2024 |
kunzhan/InfoMatch/infoMatch_STL.py 314a6334cf0478a8 |
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| Aligning the Objective of LLM-based Program Repair |
13 Apr 2024 |
cuhk-shenzhen-se/d4c/generator/defects4j.py 0d40e3e890f68f73 |
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| Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval |
5 Apr 2024 |
cxcscmu/longembeddinganalysis/OpenMatch/v1/inference.py aaf2a2b86f345be4 |
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| DRCT: Saving Image Super-resolution away from Information Bottleneck |
31 Mar 2024 |
ming053l/drct/inference.py 8b9d78de0f2e7f75 |
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MIT (permissive) |
| IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins (IDP) Using Large Language Models |
28 Mar 2024 |
chakradharg/idp-bert/model/utils.py 79660e497ea6a327 |
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MIT (permissive) |
| When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings |
3 Mar 2024 |
azminewasi/Drug-Classification-NLP/Model/train-ngram.py 5a0b9a4073d697c0 |
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MIT (permissive) |
| Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images |
19 Mar 2024 |
mediabrain-sjtu/mvfa-ad/train_zero.py 9e816aad57db813b |
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MIT (permissive) |
| Classes Are Not Equal: An Empirical Study on Image Recognition Fairness |
28 Feb 2024 |
dvlab-research/parametric-contrastive-learning/GPaCo/MAE-ViTs/engine_finetune_paco.py a27000d4fe943463 |
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MIT (permissive) |
| Fairness Without Harm: An Influence-Guided Active Sampling Approach |
20 Feb 2024 |
ucsc-real/fairnesswithoutharm/src/fair_train.py f66864daa20b1b6f |
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| CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding |
14 Feb 2024 |
clip-mused/clip-mused/decoding_HCP_MS.py e6eeb5d19c00fdef |
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MIT (permissive) |
| Homomorphism Counts for Graph Neural Networks: All About That Basis |
13 Feb 2024 |
ejin700/hombasis-gnn/hombasis-bench/run-collab.py a6e419d6bf287a8f |
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MIT (permissive) |
| Homomorphism Counts for Graph Neural Networks: All About That Basis |
13 Feb 2024 |
ejin700/hombasis-gnn/qm9/src/experiments/run_gc.py 5bfd4028374d07c7 |
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MIT (permissive) |
| Towards Neural Scaling Laws on Graphs |
3 Feb 2024 |
liu-jingzhe/graph-scaling-laws/main_node.py 8e6629dff4ea0a71 |
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MIT (permissive) |
| PF-GNN: Differentiable particle filtering based approximation of universal graph representations |
31 Jan 2024 |
pfgnn/pf-gnn/worker.py c03102a09fc8c0fb |
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| Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability |
29 Jan 2024 |
haowang-cqu/transtroj/ft_downstream_task.py c18174c0bde081ba |
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MIT (permissive) |
| Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks |
27 Jan 2024 |
bboylyg/multi-trigger-backdoor-attacks/backdoor_mtba.py 80cee634119c27b2 |
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MIT (permissive) |
| Memorization in Self-Supervised Learning Improves Downstream Generalization |
19 Jan 2024 |
sprintml/memorizationssl/SimClr_train.py e12dc0e9953ba2ea |
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MIT (permissive) |
| Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing |
5 Jan 2024 |
Levishery/Flywire-Neuron-Tracing/Pointnet/train_classification.py cce988c817575a1a |
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| Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing |
5 Jan 2024 |
Levishery/Flywire-Neuron-Tracing/Pointnet/train_classification_wImage.py b80be2cab7df1bf8 |
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| Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing |
5 Jan 2024 |
Levishery/Flywire-Neuron-Tracing/Pointnet/train_connection.py 6050663bd99ec753 |
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| Subject-Based Domain Adaptation for Facial Expression Recognition |
9 Dec 2023 |
osamazeeshan/subject-based-domain-adaptation-for-fer/methods/msbda.py 140731018bf27e5f |
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| BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting |
8 Dec 2023 |
jsun20220909/belt/BELT/BadNet_BELT.py 384ecb1106945765 |
ran · fixture could not drive it
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GPL-2.0 (copyleft) · pointer only |
| Understanding Unimodal Bias in Multimodal Deep Linear Networks |
1 Dec 2023 |
yedizhang/unimodal-bias/MNIST/mnist.py 7ccb0fa52a55533f |
unverified |
no licence file found · pointer only |
| Class Gradient Projection For Continual Learning |
25 Nov 2023 |
zackschen/CGP/main_cifar100.py 384f37e826d07a56 |
ran
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no licence file found · pointer only |
| A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems |
19 Nov 2023 |
XieResearchGroup/Physics-aware-Multiplex-GNN/main_qm9.py 04633d807687d750 |
ran · honoured contract
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no licence file found · pointer only |
| A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems |
19 Nov 2023 |
XieResearchGroup/Physics-aware-Multiplex-GNN/main_rna_puzzles.py 650d0035c3186327 |
ran · our draft was wrong
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no licence file found · pointer only |
| SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning |
17 Nov 2023 |
YUE-FAN/SSB/trainer_sim_ssb.py 15f0b85cedae6b3a |
unverified |
no licence file found · pointer only |
| Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search |
15 Nov 2023 |
hcplab-sysu/personsearch-ctlg/cross_visualize.py 93d720e560c7f46e |
ran
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no licence file found · pointer only |
| Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks |
15 Nov 2023 |
terarachang/memdata/downstream.py 3768a7b1e8d9fea1 |
unverified |
Apache-2.0 (permissive) |
| Language Semantic Graph Guided Data-Efficient Learning |
15 Nov 2023 |
bit-da/lsg/lsg_training/src/main_lsg.py bfec6788f6e7fe62 |
unverified |
MIT (permissive) |
| Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach |
8 Nov 2023 |
wujiangxu/macd/train_our.py cb272ef7e8a6e789 |
unverified |
no licence file found · pointer only |
| Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions |
8 Nov 2023 |
wujiangxu/amid/train_sr.py 6bd502155a74c2ab |
unverified |
no licence file found · pointer only |
| Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions |
8 Nov 2023 |
wujiangxu/amid/train_sr_dr.py df84355cce57c9ab |
unverified |
no licence file found · pointer only |
| Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy |
2 Nov 2023 |
kaist-dmlab/Prune4Rel/utils.py fa5017994bfee770 |
ran
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MIT (permissive) |
| PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining |
19 Oct 2023 |
sunnierlee/dp-imagen/src/SemanticQuery/train_imagenet_classifier.py 9c75ad90782415bc |
ran · honoured contract
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MIT (permissive) |
| Large-Scale Gaussian Processes via Alternating Projection |
26 Oct 2023 |
kayween/alternating-projection-for-gp/train_svgp.py 6527788b76cf43d0 |
unverified |
no licence file found · pointer only |