repo_url stringlengths 26 200 | paper_url stringlengths 36 81 | paper_title stringlengths 3 229 β | paper_arxiv_id stringlengths 9 16 | framework stringclasses 9
values | official_status stringclasses 2
values | mention_source stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/Fraunhofer-AISEC/A3 | https://paperswithcode.com/paper/texta3-activation-anomaly-analysis | $\text{A}^3$: Activation Anomaly Analysis | 2003.01801 | tf | β
Official | β No Mention |
https://github.com/hkust-knowcomp/efok-cqa | https://paperswithcode.com/paper/text-efo-k-cqa-towards-knowledge-graph | $\text{EFO}_{k}$-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation | 2307.13701 | pytorch | β
Official | π In Paper |
https://github.com/tailvyuanliang/h2tne | https://paperswithcode.com/paper/h2tne-temporal-heterogeneous-information | $\text{H}^2\text{TNE}$: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces | 2304.06970 | none | β
Official | π In Paper |
https://github.com/yryangang/rrec | https://paperswithcode.com/paper/text-r-2-text-ec-towards-large-recommender | $\text{R}^2\text{ec}$: Towards Large Recommender Models with Reasoning | 2505.16994 | pytorch | β
Official | π In Paper |
https://github.com/marcocalza89/grayhawk | https://paperswithcode.com/paper/tt-grayhawk-a-public-code-for-calculating-the | $\tt GrayHawk$: A public code for calculating the Gray Body Factors of massless fields around spherically symmetric Black Holes | 2502.04041 | none | β
Official | π In Paper |
https://github.com/olgabalsa/kobesim | https://paperswithcode.com/paper/texttt-kobesim-a-bayesian-observing-strategy | $\tt{KOBEsim}$: a Bayesian observing strategy algorithm for planet detection in radial velocity blind-search surveys | 2210.11207 | none | β
Official | π In Paper |
https://github.com/jorgeignaciogc/StableMeander.jl | https://paperswithcode.com/paper/varepsilon-strong-simulation-of-the-convex | $\varepsilon$-strong simulation of the convex minorants of stable processes and meanders | 1910.13273 | none | β
Official | π In Paper |
https://github.com/scaramouche-00/phienics | https://paperswithcode.com/paper/varphi-enics-vainshtein-screening-with-the | $\varphi$enics: Vainshtein screening with the finite element method | 2011.07037 | none | β
Official | π In Paper |
https://github.com/ergastialex/r-flav | https://paperswithcode.com/paper/r-flav-rolling-flow-matching-for-infinite | $^R$FLAV: Rolling Flow matching for infinite Audio Video generation | 2503.08307 | pytorch | β
Official | π In Paper |
https://github.com/kampersanda/integer_sketch_search | https://paperswithcode.com/paper/b-bit-sketch-trie-scalable-similarity-search | $b$-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches | 1910.08278 | none | β
Official | π In Paper |
https://github.com/ticampkietalw/dx-privacy-text | https://paperswithcode.com/paper/d-x-privacy-for-text-and-the-curse-of | $d_X$-Privacy for Text and the Curse of Dimensionality | 2411.13784 | none | β
Official | π In Paper |
https://github.com/lydiatliu/epca | https://paperswithcode.com/paper/epca-high-dimensional-exponential-family-pca | $e$PCA: High Dimensional Exponential Family PCA | 1611.05550 | none | β
Official | π In Paper |
https://github.com/tonellolab/discriminative-classification-fdiv | https://paperswithcode.com/paper/f-divergence-based-classification-beyond-the | $f$-Divergence Based Classification: Beyond the Use of Cross-Entropy | 2401.01268 | pytorch | β
Official | π In Paper |
https://github.com/fGAIL3456/fGAIL | https://paperswithcode.com/paper/f-gail-learning-f-divergence-for-generative | $f$-GAIL: Learning $f$-Divergence for Generative Adversarial Imitation Learning | 2010.01207 | pytorch | β
Official | π In Paper |
https://github.com/minkaixu/fpo | https://paperswithcode.com/paper/f-po-generalizing-preference-optimization | $f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization | 2410.21662 | pytorch | β
Official | π In Paper |
https://github.com/saikatbasu90/i-qer | https://paperswithcode.com/paper/i-qer-an-intelligent-approach-towards-quantum | $i$-QER: An Intelligent Approach towards Quantum Error Reduction | 2110.06347 | none | β
Official | π In Paper |
https://bitbucket.org/huangli712/iqist | https://paperswithcode.com/paper/i-qist-an-open-source-continuous-time-quantum | $i$QIST: An open source continuous-time quantum Monte Carlo impurity solver toolkit | 1409.7573 | none | β
Official | π In Paper |
https://github.com/lpzhang/ktclair | https://paperswithcode.com/paper/k-t-clair-self-consistency-guided-multi-prior | $k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction | 2310.11050 | pytorch | β
Official | π In Paper |
https://github.com/fhstp/k-AnonML | https://paperswithcode.com/paper/k-anonymity-in-practice-how-generalisation | $k$-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers | 2102.04763 | none | β
Official | π In Paper |
https://github.com/boniolp/kGraph | https://paperswithcode.com/paper/k-graph-a-graph-embedding-for-interpretable | $k$-Graph: A Graph Embedding for Interpretable Time Series Clustering | 2502.13049 | none | β
Official | π On GitHub |
https://github.com/pruskileung/ph-kmeans | https://paperswithcode.com/paper/k-means-clustering-for-persistent-homology | $k$-Means Clustering for Persistent Homology | 2210.10003 | none | β
Official | π In Paper |
https://github.com/anourizo/k-emulator | https://paperswithcode.com/paper/k-e-m-lator-emulating-clustering-effects-of | $k$-e$ΞΌ$lator: emulating clustering effects of the $k$-essence dark energy | 2405.10424 | none | β
Official | π In Paper |
https://github.com/frycast/kmspd | https://paperswithcode.com/paper/k-means-on-a-log-cholesky-manifold-with | $k$-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences | 2008.03454 | none | β
Official | π In Paper |
https://github.com/ShannonAI/kfolden-ood-detection | https://paperswithcode.com/paper/k-folden-k-fold-ensemble-for-out-of | $k$Folden: $k$-Fold Ensemble for Out-Of-Distribution Detection | 2108.12731 | pytorch | β
Official | π In Paper |
https://github.com/sansui-123/knn_attention | https://paperswithcode.com/paper/k-nn-attention-demystified-a-theoretical | $k$NN Attention Demystified: A Theoretical Exploration for Scalable Transformers | 2411.04013 | pytorch | β
Official | π In Paper |
https://github.com/benfengxu/knnprompting | https://paperswithcode.com/paper/k-nn-prompting-beyond-context-learning-with | $k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference | 2303.13824 | pytorch | β
Official | π In Paper |
https://github.com/shannonai/knn-ner | https://paperswithcode.com/paper/k-nn-ner-named-entity-recognition-with | $k$NN-NER: Named Entity Recognition with Nearest Neighbor Search | 2203.17103 | pytorch | β
Official | π In Paper |
https://github.com/lavine-lmu/m4adapter | https://paperswithcode.com/paper/m-4adapter-multilingual-multi-domain | $m^4Adapter$: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter | 2210.11912 | pytorch | β
Official | π In Paper |
https://github.com/fermiflow/coulombgas | https://paperswithcode.com/paper/m-ast-of-two-dimensional-electron-gas-a | $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study | 2201.03156 | jax | β
Official | π In Paper |
https://github.com/cxan96/efficient-probit-regression | https://paperswithcode.com/paper/p-generalized-probit-regression-and-scalable | $p$-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets | 2203.13568 | none | β
Official | π In Paper |
https://github.com/guoji-fu/pgnns | https://paperswithcode.com/paper/p-laplacian-based-graph-neural-networks-1 | $p$-Laplacian Based Graph Neural Networks | 2111.07337 | pytorch | β
Official | π In Paper |
https://github.com/yebbi/pinc | https://paperswithcode.com/paper/p-poisson-surface-reconstruction-in-curl-free | $p$-Poisson surface reconstruction in curl-free flow from point clouds | 2310.20095 | pytorch | β
Official | π In Paper |
https://github.com/coderbak/psvm | https://paperswithcode.com/paper/p-svm-soft-margin-svms-with-p-norm-hinge-loss | $p$SVM: Soft-margin SVMs with $p$-norm Hinge Loss | 2408.09908 | none | β
Official | π In Paper |
https://github.com/cmdlab/pygwbse | https://paperswithcode.com/paper/py-gwbse-a-high-throughput-workflow-package | $py$GWBSE: A high throughput workflow package for GW-BSE calculations | 2210.00152 | none | β
Official | π In Paper |
https://github.com/Z798971901/q_binomial_identities_finder | https://paperswithcode.com/paper/q-binomial-identities-finder | $q$-Binomial Identities Finder | 2408.00186 | none | β
Official | π In Paper |
https://github.com/THUYimingLi/t-k-means | https://paperswithcode.com/paper/t-k-means-a-k-means-variant-with-robustness | $t$-$k$-means: A Robust and Stable $k$-means Variant | 1907.07442 | none | β
Official | π In Paper |
https://github.com/pmichaillat/feru | https://paperswithcode.com/paper/u-sqrt-uv | $u^* = \sqrt{uv}$ | 2206.13012 | none | β
Official | π On GitHub |
https://github.com/MMunibas/Asparagus | https://paperswithcode.com/paper/it-asparagus-a-toolkit-for-autonomous-user | ${\it Asparagus}$: A Toolkit for Autonomous, User-Guided Construction of Machine-Learned Potential Energy Surfaces | 2407.15175 | pytorch | β
Official | π On GitHub |
https://github.com/dchen48/e3ac | https://paperswithcode.com/paper/rm-e-3-equivariant-actor-critic-methods-for | ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning | 2308.11842 | pytorch | β
Official | π In Paper |
https://github.com/ewerton-vieira/morals | https://paperswithcode.com/paper/tt-morals-analysis-of-high-dimensional-robot | ${\tt MORALS}$: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space | 2310.03246 | pytorch | β
Official | π In Paper |
https://github.com/hpcsys-lab/simwave | https://paperswithcode.com/paper/tt-simwave-a-finite-difference-simulator-for | ${\tt simwave}$ -- A Finite Difference Simulator for Acoustic Waves Propagation | 2201.05278 | tf | β
Official | π In Paper |
https://github.com/danaugrs/deltanets | https://paperswithcode.com/paper/d-nets-interaction-based-system-for-optimal | $Ξ$-Nets: Interaction-Based System for Optimal Parallel $Ξ»$-Reduction | 2505.20314 | none | β
Official | π In Paper |
https://github.com/olivierjeunen/delta-ope-recsys-2024 | https://paperswithcode.com/paper/d-text-rm-ope-off-policy-estimation-with | $Ξ\text{-}{\rm OPE}$: Off-Policy Estimation with Pairs of Policies | 2405.10024 | none | β
Official | π In Paper |
https://github.com/dr-faustus/lambda-darts | https://paperswithcode.com/paper/l-darts-mitigating-performance-collapse-by | $Ξ$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells | 2210.07998 | pytorch | β
Official | π In Paper |
https://github.com/nishio-laboratory/lambda_split | https://paperswithcode.com/paper/l-split-a-privacy-preserving-split-computing | $Ξ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI | 2310.14651 | pytorch | β
Official | π In Paper |
https://github.com/dpiras/VAExEDE | https://paperswithcode.com/paper/l-cdm-and-early-dark-energy-in-latent-space-a | $Ξ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum | 2502.09810 | tf | β
Official | π On GitHub |
https://github.com/astro-claire/process-fof | https://paperswithcode.com/paper/l-cdm-star-clusters-at-cosmic-dawn-stellar | $Ξ$CDM star clusters at cosmic dawn: stellar densities, environment, and equilibrium | 2502.17561 | none | β
Official | π On GitHub |
https://github.com/FirstHandScientist/AlphaBP | https://paperswithcode.com/paper/a-belief-propagation-for-approximate | $Ξ±$ Belief Propagation for Approximate Inference | 2006.15363 | none | β
Official | π In Paper |
https://github.com/junkangwu/alpha-dpo | https://paperswithcode.com/paper/a-dpo-adaptive-reward-margin-is-what-direct | $Ξ±$-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs | 2410.10148 | pytorch | β
Official | π In Paper |
https://github.com/nocotan/geodesical_skew_divergence | https://paperswithcode.com/paper/a-geodesical-skew-divergence | $Ξ±$-Geodesical Skew Divergence | 2103.17060 | pytorch | β
Official | π In Paper |
https://github.com/dionman/beta-cores | https://paperswithcode.com/paper/b-cores-robust-large-scale-bayesian-data | $Ξ²$-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers | 2008.13600 | none | β
Official | π In Paper |
https://github.com/junkangwu/beta-dpo | https://paperswithcode.com/paper/b-dpo-direct-preference-optimization-with | $Ξ²$-DPO: Direct Preference Optimization with Dynamic $Ξ²$ | 2407.08639 | pytorch | β
Official | π In Paper |
https://github.com/shiva-darshan/beta-fput-under-periodic-forcing | https://paperswithcode.com/paper/b-fput-chains-under-time-periodic-forcing | $Ξ²$-FPUT chains under time-periodic forcing | 2507.11319 | none | β
Official | π In Paper |
https://github.com/AslantheAslan/beta-GNN | https://paperswithcode.com/paper/b-gnn-a-robust-ensemble-approach-against | $Ξ²$-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation | 2503.20630 | pytorch | β
Official | β No Mention |
https://github.com/fatemehN/entangled_representation | https://paperswithcode.com/paper/b-multivariational-autoencoder-for-entangled | $Ξ²$-Multivariational Autoencoder for Entangled Representation Learning in Video Frames | 2211.12627 | pytorch | β
Official | π On GitHub |
https://github.com/nahumsa/Entanglement-VAE | https://paperswithcode.com/paper/b-variational-autoencoder-as-an-entanglement | $Ξ²$-Variational Autoencoder as an Entanglement Classifier | 2004.14420 | tf | β
Official | π In Paper |
https://github.com/yc14600/beta3_IRT | https://paperswithcode.com/paper/3-irt-a-new-item-response-model-and-its | $Ξ²^3$-IRT: A New Item Response Model and its Applications | 1903.04016 | tf | β
Official | π In Paper |
https://github.com/GammaCascade/GCascade | https://paperswithcode.com/paper/g-cascade-v4-a-semi-analytical-code-for | $Ξ³$-Cascade V4: A Semi-Analytical Code for Modeling Cosmological Gamma-Ray Propagation | 2408.03995 | none | β
Official | π In Paper |
https://github.com/weihuayi/fealpy | https://paperswithcode.com/paper/g-deepdsm-for-interface-reconstruction | $Ξ³$-deepDSM for interface reconstruction: operator learning and a Learning-Automated FEM package | 2411.05341 | pytorch | β
Official | π In Paper |
https://github.com/georgedeath/eshotgun | https://paperswithcode.com/paper/-shotgun-greedy-batch-bayesian-optimisation | $Ξ΅$-shotgun: $Ξ΅$-greedy Batch Bayesian Optimisation | 2002.01873 | none | β
Official | π In Paper |
https://github.com/psg-mit/smooth | https://paperswithcode.com/paper/l-s-computable-semantics-for-differentiable | $Ξ»_S$: Computable Semantics for Differentiable Programming with Higher-Order Functions and Datatypes | 2007.08017 | none | β
Official | π In Paper |
https://github.com/mcusec/microafl | https://paperswithcode.com/paper/m-afl-non-intrusive-feedback-driven-fuzzing | $ΞΌ$AFL: Non-intrusive Feedback-driven Fuzzing for Microcontroller Firmware | 2202.03013 | none | β
Official | π In Paper |
https://github.com/rdegiovanni/mbert | https://paperswithcode.com/paper/m-bert-mutation-testing-using-pre-trained | $ΞΌ$BERT: Mutation Testing using Pre-Trained Language Models | 2203.03289 | pytorch | β
Official | π In Paper |
https://github.com/suncongxd/mudep | https://paperswithcode.com/paper/m-dep-mutation-based-dependency-generation | $ΞΌ$Dep: Mutation-based Dependency Generation for Precise Taint Analysis on Android Native Code | 2112.06702 | none | β
Official | π In Paper |
https://github.com/njapke/uoptime-replication-package | https://paperswithcode.com/paper/m-optime-statically-reducing-the-execution | $ΞΌ$OpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics | 2501.12878 | none | β
Official | π In Paper |
https://github.com/nju-websoft/mukg | https://paperswithcode.com/paper/m-text-kg-a-library-for-multi-source | $ΞΌ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications | 2207.11442 | pytorch | β
Official | π In Paper |
https://github.com/oscholer/nudobe | https://paperswithcode.com/paper/n-dobe-a-python-tool-for-neutrinoless-double | $Ξ½$DoBe -- A Python Tool for Neutrinoless Double Beta Decay | 2304.05415 | none | β
Official | π In Paper |
https://github.com/xitorch/xitorch | https://paperswithcode.com/paper/x-torch-differentiable-scientific-computing | $ΞΎ$-torch: differentiable scientific computing library | 2010.01921 | pytorch | β
Official | π In Paper |
https://github.com/tencentarc/pi-tuning | https://paperswithcode.com/paper/p-tuning-transferring-multimodal-foundation | $Ο$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation | 2304.14381 | pytorch | β
Official | π In Paper |
https://github.com/apatra6/rhocp | https://paperswithcode.com/paper/r-cp-open-source-dislocation-density-based | $Ο$-CP: Open Source Dislocation Density Based Crystal Plasticity Framework for Simulating Temperature- and Strain Rate-Dependent Deformation | 2303.02441 | none | β
Official | π In Paper |
https://github.com/intel/rho-diffusion | https://paperswithcode.com/paper/r-diffusion-a-diffusion-based-density | $Ο$-Diffusion: A diffusion-based density estimation framework for computational physics | 2312.08153 | pytorch | β
Official | π In Paper |
https://github.com/sssohrab/rho_VAE | https://paperswithcode.com/paper/-vae-autoregressive-parametrization-of-the | $Ο$-VAE: Autoregressive parametrization of the VAE encoder | 1909.06236 | pytorch | β
Official | π In Paper |
https://github.com/Tju-AI/two-stage-labeling-for-the-sentiment-orientations | https://paperswithcode.com/paper/-hot-lexicon-embedding-based-two-level-lstm | $Ο$-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis | 1803.07771 | none | β
Official | π In Paper |
https://github.com/Invertible-AI/sigma-pca | https://paperswithcode.com/paper/s-pca-a-unified-neural-model-for-linear-and | $Ο$-PCA: a building block for neural learning of identifiable linear transformations | 2311.13580 | none | β
Official | β No Mention |
https://github.com/nignatiadis/SigmaRidgeRegression.jl | https://paperswithcode.com/paper/group-regularized-ridge-regression-via | $Ο$-Ridge: group regularized ridge regression via empirical Bayes noise level cross-validation | 2010.15817 | none | β
Official | π In Paper |
https://gitlab.com/artelabsuper/s2r | https://paperswithcode.com/paper/s-2-r-loss-a-weighted-loss-by-multiplicative | $Ο^2$R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions | 2009.08796 | pytorch | β
Official | π In Paper |
https://github.com/sierra-research/tau2-bench | https://paperswithcode.com/paper/t-2-bench-evaluating-conversational-agents-in | $Ο^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment | 2506.07982 | none | β
Official | π In Paper |
https://github.com/harpoonix/chi-spn | https://paperswithcode.com/paper/kh-spn-characteristic-interventional-sum | $Ο$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains | 2408.07545 | pytorch | β
Official | π In Paper |
https://github.com/edahelsinki/xiplot | https://paperswithcode.com/paper/kh-iplot-web-first-visualisation-platform-for | $Ο$iplot: web-first visualisation platform for multidimensional data | 2306.12110 | none | β
Official | π In Paper |
https://github.com/kz29/-psiDAG | https://paperswithcode.com/paper/ps-dag-projected-stochastic-approximation | $Ο$DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning | 2410.23862 | pytorch | β
Official | π On GitHub |
https://github.com/philippschlehubercaissier/wspot | https://paperswithcode.com/paper/energy-buchi-problems | $Ο$-Regular Energy Problems | 2205.04392 | none | β
Official | π In Paper |
https://github.com/manwaarkhd/aariz-cephalometric-dataset | https://paperswithcode.com/paper/aariz-a-benchmark-dataset-for-automatic | 'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification | 2302.07797 | none | β
Official | π In Paper |
https://github.com/bharadwaj-manda/CADSketchNet | https://paperswithcode.com/paper/cadsketchnet-an-annotated-sketch-dataset-for | 'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks | 2107.06212 | none | β
Official | π On GitHub |
https://github.com/FlavorIITG/MLResourcesForSemileptonic-b2c | https://paperswithcode.com/paper/deep-dive-into-b-to-c-anomalies-standardized | 'Deep' Dive into $b \to c$ Anomalies: Standardized and Future-proof Model Selection Using Self-normalizing Neural Networks | 2008.04316 | none | β
Official | π In Paper |
https://github.com/ronaldahmed/scitechnews | https://paperswithcode.com/paper/don-t-get-too-technical-with-me-a-discourse | 'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism | 2310.15077 | pytorch | β
Official | π In Paper |
https://github.com/ads-ai/paraqd | https://paperswithcode.com/paper/john-ate-5-apples-john-ate-some-apples-self | 'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems | 2206.08263 | none | β
Official | π In Paper |
https://github.com/i-am-shreya/labelling-the-gaps | https://paperswithcode.com/paper/labelling-the-gaps-a-weakly-supervised | 'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation | 2208.01840 | tf | β
Official | π In Paper |
https://github.com/avof/mic-drop | https://paperswithcode.com/paper/mic-drop-on-estimating-the-size-of-sub-mm | 'Mic drop': on estimating the size of sub-mm droplets using a simple condenser microphone | 2506.19782 | pytorch | β
Official | π In Paper |
https://github.com/matthnig/ntec | https://paperswithcode.com/paper/moving-on-investigating-inventors-ethnic | 'Moving On' -- Investigating Inventors' Ethnic Origins Using Supervised Learning | 2201.00578 | tf | β
Official | π On GitHub |
https://github.com/sandeep82945/ai-review-detection | https://paperswithcode.com/paper/quis-custodiet-ipsos-custodes-who-will-watch | 'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews | 2410.09770 | pytorch | β
Official | π In Paper |
https://github.com/iiau-tracker/SPLT | https://paperswithcode.com/paper/skimming-perusal-tracking-a-framework-for | 'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking | 1909.01840 | tf | β
Official | π In Paper |
https://github.com/abhi4ssj/few-shot-segmentation | https://paperswithcode.com/paper/squeeze-excite-guided-few-shot-segmentation | 'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images | 1902.01314 | pytorch | β
Official | π In Paper |
https://github.com/jchiyah/what-are-you-referring-to | https://paperswithcode.com/paper/what-are-you-referring-to-evaluating-the | 'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges | 2307.15554 | none | β
Official | π In Paper |
https://github.com/geemjy/geem_etal_mnras_2022 | https://paperswithcode.com/paper/3200-phaethon-polarimetry-in-the-negative | (3200) Phaethon Polarimetry in the Negative Branch: New Evidence for the Anhydrous Nature of the DESTINY+ Target Asteroid | 2208.11912 | none | β
Official | π In Paper |
https://github.com/anh-dang/accelerated_noise_adaptive_shb | https://paperswithcode.com/paper/noise-adaptive-accelerated-stochastic-heavy | (Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum | 2401.06738 | none | β
Official | π In Paper |
https://github.com/shengroup/observe_then_incentivize | https://paperswithcode.com/paper/almost-free-incentivized-exploration-from | (Almost) Free Incentivized Exploration from Decentralized Learning Agents | 2110.14628 | none | β
Official | π In Paper |
https://github.com/danedane-haider/Almost-Smooth-Sailing | https://paperswithcode.com/paper/almost-smooth-sailing-towards-numerical | (Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number | 2410.00169 | pytorch | β
Official | β No Mention |
https://github.com/hudsonchen/drmmd | https://paperswithcode.com/paper/de-regularized-maximum-mean-discrepancy | (De)-regularized Maximum Mean Discrepancy Gradient Flow | 2409.14980 | jax | β
Official | π In Paper |
https://github.com/alceubissoto/deconstructing-bias-skin-lesion | https://paperswithcode.com/paper/deconstructing-bias-on-skin-lesion-datasets | (De)Constructing Bias on Skin Lesion Datasets | 1904.08818 | pytorch | β
Official | π In Paper |
https://github.com/alevine0/patchSmoothing | https://paperswithcode.com/paper/derandomized-smoothing-for-certifiable | (De)Randomized Smoothing for Certifiable Defense against Patch Attacks | 2002.10733 | pytorch | β
Official | π In Paper |
Subsets and Splits
Unique ArXiv IDs in Train Data
Identifies and retrieves records of papers that appear only once in the dataset, helping to understand unique entries.