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.