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/morphoboid/3D-SiameseNet
|
https://paperswithcode.com/paper/3dsiamesenet-to-analyze-brain-mri
|
3DSiameseNet to Analyze Brain MRI
|
1909.01098
|
tf
|
β
Official
|
π In Paper
|
https://github.com/yanghb22-fdu/3dstyle-diffusion-official
|
https://paperswithcode.com/paper/3dstyle-diffusion-pursuing-fine-grained-text
|
3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models
|
2311.05464
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/sj978/3dstyleglip
|
https://paperswithcode.com/paper/3dstyleglip-part-tailored-text-guided-3d
|
3DStyleGLIP: Part-Tailored Text-Guided 3D Neural Stylization
|
2404.02634
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/3dtopia/3dtopia-xl
|
https://paperswithcode.com/paper/3dtopia-xl-scaling-high-quality-3d-asset
|
3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
|
2409.12957
|
jax
|
β
Official
|
π In Paper
|
https://github.com/3dtopia/3dtopia
|
https://paperswithcode.com/paper/3dtopia-large-text-to-3d-generation-model
|
3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors
|
2403.02234
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/theICTlab/3DUNDERWORLD-SLS-GPU_CPU
|
https://paperswithcode.com/paper/3dunderworld-sls-an-open-source-structured
|
3DUNDERWORLD-SLS: An Open-Source Structured-Light Scanning System for Rapid Geometry Acquisition
|
1406.6595
|
none
|
β
Official
|
π On GitHub
|
https://github.com/3huo/3DV-Action
|
https://paperswithcode.com/paper/3dv-3d-dynamic-voxel-for-action-recognition
|
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
|
2005.05501
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/alexrich021/3dvnet
|
https://paperswithcode.com/paper/3dvnet-multi-view-depth-prediction-and
|
3DVNet: Multi-View Depth Prediction and Volumetric Refinement
|
2112.00202
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/trustai/3dverifier
|
https://paperswithcode.com/paper/3dverifier-efficient-robustness-verification
|
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
|
2207.07539
|
tf
|
β
Official
|
π In Paper
|
https://github.com/seonokkim/3dyoga90
|
https://paperswithcode.com/paper/3dyoga90-a-hierarchical-video-dataset-for
|
3DYoga90: A Hierarchical Video Dataset for Yoga Pose Understanding
|
2310.10131
|
none
|
β
Official
|
π In Paper
|
https://github.com/gaperezsa/3deformrs
|
https://paperswithcode.com/paper/3deformrs-certifying-spatial-deformations-on
|
3DeformRS: Certifying Spatial Deformations on Point Clouds
|
2204.05687
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/IIT-PAVIS/Flatlandia
|
https://paperswithcode.com/paper/you-are-here-finding-position-and-orientation
|
3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and Dataset
|
2304.06373
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/qinche106/cb-convlstm-eyetracking
|
https://paperswithcode.com/paper/3et-efficient-event-based-eye-tracking-using
|
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
|
2308.11771
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/minhtcai/MLMF
|
https://paperswithcode.com/paper/3fm-multi-modal-meta-learning-for-federated
|
3FM: Multi-modal Meta-learning for Federated Tasks
|
2312.10179
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/browatbn2/3FabRec
|
https://paperswithcode.com/paper/3fabrec-fast-few-shot-face-alignment-by
|
3FabRec: Fast Few-shot Face alignment by Reconstruction
|
1911.10448
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/stochastic-geometry/3GPP-Mobility-Drone
|
https://paperswithcode.com/paper/3gpp-inspired-stochastic-geometry-based
|
3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network
|
1905.00972
|
none
|
β
Official
|
π On GitHub
|
https://github.com/ni9elf/3han
|
https://paperswithcode.com/paper/3han-a-deep-neural-network-for-fake-news
|
3HAN: A Deep Neural Network for Fake News Detection
|
2306.12014
|
tf
|
β
Official
|
π In Paper
|
https://github.com/huaishengzhu/3mdiffusion
|
https://paperswithcode.com/paper/3m-diffusion-latent-multi-modal-diffusion-for
|
3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation
|
2403.07179
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/univanxx/3mdbench
|
https://paperswithcode.com/paper/3mdbench-medical-multimodal-multi-agent
|
3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark
|
2504.13861
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/adlnlp/3mvrd
|
https://paperswithcode.com/paper/m3-vrd-multimodal-multi-task-multi-teacher
|
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding
|
2402.17983
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ljjtyjr/3qfp
|
https://paperswithcode.com/paper/3qfp-efficient-neural-implicit-surface
|
3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding
|
2401.07164
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/hmxiong/3ur-llm
|
https://paperswithcode.com/paper/3ur-llm-an-end-to-end-multimodal-large
|
3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding
|
2501.07819
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/DeShuo-Liu/Higgs-Decomposition-for-Abelian-Theories
|
https://paperswithcode.com/paper/3d-mirrors-and-phase-diagrams-of-abelian
|
3d Mirrors and Phase Diagrams of Abelian Gauge Theories
|
2503.08791
|
none
|
β
Official
|
π On GitHub
|
https://github.com/Ivo-B/3dSMRnet
|
https://paperswithcode.com/paper/3d-smrnet-achieving-a-new-quality-of-mpi
|
3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning
|
1905.03026
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/TangZJ/3iGS
|
https://paperswithcode.com/paper/3igs-factorised-tensorial-illumination-for-3d
|
3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting
|
2408.03753
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/molinerislab/3plex
|
https://paperswithcode.com/paper/3plex-web-an-interactive-platform-for-rna-dna
|
3plex Web: An Interactive Platform for RNA:DNA Triplex Prediction and Analysis
|
2504.18076
|
none
|
β
Official
|
π In Paper
|
https://github.com/continualai/clvision-challenge-2022
|
https://paperswithcode.com/paper/3rd-continual-learning-workshop-challenge-on
|
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
|
2212.06833
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/dut-csj/pvuw2023-vss-3rd
|
https://paperswithcode.com/paper/3rd-place-solution-for-pvuw2023-vss-track-a
|
3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW
|
2306.02291
|
none
|
β
Official
|
π In Paper
|
https://github.com/line/meta-ai-video-similarity-challenge-3rd-place-solution
|
https://paperswithcode.com/paper/3rd-place-solution-to-meta-ai-video
|
3rd Place Solution to Meta AI Video Similarity Challenge
|
2304.11964
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/sun-xl/ISC2021
|
https://paperswithcode.com/paper/3rd-place-a-global-and-local-dual-retrieval
|
3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge
|
2112.02373
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/andrewgrahambrown/4CShiftResNet
|
https://paperswithcode.com/paper/4-connected-shift-residual-networks
|
4-Connected Shift Residual Networks
|
1910.09931
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/gwastro/4-ogc
|
https://paperswithcode.com/paper/4-ogc-catalog-of-gravitational-waves-from
|
4-OGC: Catalog of gravitational waves from compact-binary mergers
|
2112.06878
|
none
|
β
Official
|
π In Paper
|
https://github.com/geordw/braids-project
|
https://paperswithcode.com/paper/4-strand-burau-is-unfaithful-modulo-5
|
4-Strand Burau is Unfaithful Modulo 5
|
2310.02403
|
none
|
β
Official
|
π In Paper
|
https://github.com/sike-wang/low-bit-shampoo
|
https://paperswithcode.com/paper/4-bit-shampoo-for-memory-efficient-network
|
4-bit Shampoo for Memory-Efficient Network Training
|
2405.18144
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/tjeremie/Cops-and-robbers
|
https://paperswithcode.com/paper/4-cop-win-graphs-have-at-least-19-vertices
|
4-cop-win graphs have at least 19 vertices
|
2006.02998
|
none
|
β
Official
|
β No Mention
|
https://github.com/hehao98/starscout
|
https://paperswithcode.com/paper/4-5-million-suspected-fake-stars-in-github-a
|
4.5 Million (Suspected) Fake Stars in GitHub: A Growing Spiral of Popularity Contests, Scams, and Malware
|
2412.13459
|
none
|
β
Official
|
π In Paper
|
https://github.com/zhangyux15/4d_association
|
https://paperswithcode.com/paper/4d-association-graph-for-realtime-multi
|
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
|
2002.12625
|
none
|
β
Official
|
β No Mention
|
https://github.com/tommheik/dualtree4
|
https://paperswithcode.com/paper/4d-dual-tree-complex-wavelets-for-time
|
4D Dual-Tree Complex Wavelets for Time-Dependent Data
|
2103.15674
|
none
|
β
Official
|
π In Paper
|
https://github.com/zoukaifeng/4dfm
|
https://paperswithcode.com/paper/4d-facial-expression-diffusion-model
|
4D Facial Expression Diffusion Model
|
2303.16611
|
none
|
β
Official
|
π In Paper
|
https://github.com/aljosaosep/4DGVT
|
https://paperswithcode.com/paper/4d-generic-video-object-proposals
|
4D Generic Video Object Proposals
|
1901.09260
|
none
|
β
Official
|
π In Paper
|
https://github.com/zrporz/4DLangSplat
|
https://paperswithcode.com/paper/4d-langsplat-4d-language-gaussian-splatting
|
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
|
2503.10437
|
jax
|
β
Official
|
π On GitHub
|
https://github.com/yuan-xiaohan/4d-myocardium-reconstruction-with-decoupled-motion-and-shape-model
|
https://paperswithcode.com/paper/4d-myocardium-reconstruction-with-decoupled
|
4D Myocardium Reconstruction with Decoupled Motion and Shape Model
|
2308.14083
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/mehmetaygun/4d-pls
|
https://paperswithcode.com/paper/4d-panoptic-lidar-segmentation
|
4D Panoptic LiDAR Segmentation
|
2102.12472
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/jingkang50/psg4d
|
https://paperswithcode.com/paper/4d-panoptic-scene-graph-generation-1
|
4D Panoptic Scene Graph Generation
|
2405.10305
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/robotics-upo/gaussian-rio-cpp
|
https://paperswithcode.com/paper/4d-radar-inertial-odometry-based-on-gaussian
|
4D Radar-Inertial Odometry based on Gaussian Modeling and Multi-Hypothesis Scan Matching
|
2412.13639
|
none
|
β
Official
|
π In Paper
|
https://github.com/jaegercq/4d-slingbag
|
https://paperswithcode.com/paper/4d-slingbag-spatial-temporal-coupled-gaussian
|
4D SlingBAG: spatial-temporal coupled Gaussian ball for large-scale dynamic 3D photoacoustic iterative reconstruction
|
2412.03898
|
none
|
β
Official
|
π In Paper
|
https://github.com/robertwyq/lsmol
|
https://paperswithcode.com/paper/4d-unsupervised-object-discovery
|
4D Unsupervised Object Discovery
|
2210.04801
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/HEPTHools/Data/tree/master/20x20
|
https://paperswithcode.com/paper/4d-mathcaln1-matter-gravitino-genomics
|
4D, $\mathcal{N}=1$ Matter Gravitino Genomics
|
1812.07680
|
none
|
β
Official
|
β No Mention
|
https://github.com/WenxuanZhu1103/4D-Bench
|
https://paperswithcode.com/paper/4d-bench-benchmarking-multi-modal-large
|
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding
|
2503.17827
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/eth-ait/4d-dress
|
https://paperswithcode.com/paper/4d-dress-a-4d-dataset-of-real-world-human
|
4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations
|
2404.18630
|
none
|
β
Official
|
π On GitHub
|
https://github.com/manifoldshu/fourdexplorer
|
https://paperswithcode.com/paper/4d-explorer-a-visual-software-for-4d-stem
|
4D-Explorer: A visual software for 4D-STEM data processing and image reconstruction
|
2306.08365
|
none
|
β
Official
|
π In Paper
|
https://github.com/yuhez/onix_xmpi_recon
|
https://paperswithcode.com/paper/4d-onix-a-deep-learning-approach-for
|
4D-ONIX: A deep learning approach for reconstructing 3D movies from sparse X-ray projections
|
2401.09508
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/egeozsoy/4D-OR
|
https://paperswithcode.com/paper/4d-or-semantic-scene-graphs-for-or-domain
|
4D-OR: Semantic Scene Graphs for OR Domain Modeling
|
2203.11937
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/weify627/4D-Rotor-Gaussians
|
https://paperswithcode.com/paper/4d-gaussian-splatting-towards-efficient-novel
|
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
|
2402.03307
|
jax
|
β
Official
|
π On GitHub
|
https://github.com/larskreuzberg/4d-stop
|
https://paperswithcode.com/paper/4d-stop-panoptic-segmentation-of-4d-lidar
|
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
|
2209.14858
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/sherwinbahmani/4dfy
|
https://paperswithcode.com/paper/4d-fy-text-to-4d-generation-using-hybrid
|
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
|
2311.17984
|
jax
|
β
Official
|
π In Paper
|
https://github.com/awslabs/multi-table-benchmark
|
https://paperswithcode.com/paper/4dbinfer-a-4d-benchmarking-toolbox-for-graph
|
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
|
2404.18209
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/EdwardFerdian/4DFlowNet
|
https://paperswithcode.com/paper/4dflownet-super-resolution-4d-flow-mri-using
|
4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid Dynamics
|
2004.07035
|
tf
|
β
Official
|
β No Mention
|
https://github.com/smontode24/4dpv
|
https://paperswithcode.com/paper/4dpv-4d-pet-from-videos-by-coarse-to-fine-non
|
4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields
|
2411.10275
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/alvariseppanen/4denoisenet
|
https://paperswithcode.com/paper/4denoisenet-adverse-weather-denoising-from
|
4DenoiseNet: Adverse Weather Denoising from Adjacent Point Clouds
|
2209.07121
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/chleelab/4dia
|
https://paperswithcode.com/paper/4dia-a-tool-for-automated-4d-microscope-image
|
4Dia: A tool for automated 4D microscope image alignment
|
2111.03988
|
none
|
β
Official
|
π In Paper
|
https://github.com/rl-language/4hammer
|
https://paperswithcode.com/paper/4hammer-a-board-game-reinforcement-learning
|
4Hammer: a board-game reinforcement learning environment for the hour long time frame
|
2505.13638
|
none
|
β
Official
|
π In Paper
|
https://github.com/frozoul/4k-nerf
|
https://paperswithcode.com/paper/4k-nerf-high-fidelity-neural-radiance-fields
|
4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions
|
2212.04701
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/zhou-yijie/msltnet
|
https://paperswithcode.com/paper/4k-resolution-photo-exposure-correction-at
|
4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters
|
2311.08759
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/jhculb/4tct
|
https://paperswithcode.com/paper/4tct-a-4chan-text-collection-tool
|
4TCT, A 4chan Text Collection Tool
|
2307.03556
|
none
|
β
Official
|
π In Paper
|
https://github.com/boctrl-c/forward
|
https://paperswithcode.com/paper/4ward-a-relayering-strategy-for-efficient
|
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs
|
2209.02037
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/taeheej/4bit-quantization-in-vector-embedding-for-rag
|
https://paperswithcode.com/paper/4bit-quantization-in-vector-embedding-for-rag
|
4bit-Quantization in Vector-Embedding for RAG
|
2501.10534
|
none
|
β
Official
|
π In Paper
|
https://github.com/anton-petrunin/toyoda
|
https://paperswithcode.com/paper/5-point-cat-0-spaces-after-tetsu-toyoda
|
5-point CAT(0) spaces after Tetsu Toyoda
|
2009.09522
|
none
|
β
Official
|
β No Mention
|
https://github.com/galaxyhbxy/dpguard
|
https://paperswithcode.com/paper/50-shades-of-deceptive-patterns-a-unified
|
50 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications
|
2501.13351
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ZongqianLi/500xCompressor
|
https://paperswithcode.com/paper/2408-03094
|
500xCompressor: Generalized Prompt Compression for Large Language Models
|
2408.03094
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/matteonerini/5g-network-slicing-for-wifi-networks
|
https://paperswithcode.com/paper/5g-network-slicing-for-wi-fi-networks
|
5G Network Slicing for Wi-Fi Networks
|
2101.12644
|
none
|
β
Official
|
π In Paper
|
https://github.com/HyowonKim-P1/5GmmWavePHDFilterMapFusion
|
https://paperswithcode.com/paper/5g-mmwave-cooperative-positioning-and-mapping
|
5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion
|
1908.09806
|
none
|
β
Official
|
π In Paper
|
https://github.com/pragyasharmaa/5G-WAVE-Infocom2024
|
https://paperswithcode.com/paper/5g-wave-a-core-network-framework-with
|
5G-WAVE: A Core Network Framework with Decentralized Authorization for Network Slices
|
2404.13242
|
none
|
β
Official
|
π In Paper
|
https://github.com/riron1206/kaggle-google-universal-image-embedding-competition-5th-place-solution
|
https://paperswithcode.com/paper/5th-place-solution-to-kaggle-google-universal
|
5th Place Solution to Kaggle Google Universal Image Embedding Competition
|
2210.09495
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/j96w/6-PACK
|
https://paperswithcode.com/paper/6-pack-category-level-6d-pose-tracker-with
|
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
|
1910.10750
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/kulunuos/6dapose
|
https://paperswithcode.com/paper/6d-assembly-pose-estimation-by-point-cloud
|
6D Assembly Pose Estimation by Point Cloud Registration for Robot Manipulation
|
2312.02593
|
none
|
β
Official
|
π In Paper
|
https://github.com/GeeeG/CloudPose
|
https://paperswithcode.com/paper/6d-object-pose-regression-via-supervised
|
6D Object Pose Regression via Supervised Learning on Point Clouds
|
2001.08942
|
tf
|
β
Official
|
π In Paper
|
https://github.com/thohemp/6drepnet
|
https://paperswithcode.com/paper/6d-rotation-representation-for-unconstrained
|
6D Rotation Representation For Unconstrained Head Pose Estimation
|
2202.12555
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/asw91666/trg-release
|
https://paperswithcode.com/paper/6dof-head-pose-estimation-through-explicit
|
6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry
|
2407.14136
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/cuitianyu961030/6gan
|
https://paperswithcode.com/paper/6gan-ipv6-multi-pattern-target-generation-via
|
6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning
|
2204.09839
|
tf
|
β
Official
|
π In Paper
|
https://github.com/hp-cao/6impose
|
https://paperswithcode.com/paper/learning-6d-pose-estimation-from-synthetic
|
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
|
2208.14288
|
tf
|
β
Official
|
π In Paper
|
https://github.com/continental/6img-to-3d
|
https://paperswithcode.com/paper/6img-to-3d-few-image-large-scale-outdoor
|
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
|
2404.12378
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/nellyngz95/6ksfx
|
https://paperswithcode.com/paper/6ksfx-synth-dataset
|
6KSFx Synth Dataset
|
2501.17198
|
none
|
β
Official
|
π In Paper
|
https://github.com/zwjsndy/6vision
|
https://paperswithcode.com/paper/6vision-image-encoding-based-ipv6-target
|
6Vision: Image-encoding-based IPv6 Target Generation in Few-seed Scenarios
|
2501.01683
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/JesperDramsch/70-Years-of-Machine-Learning-in-Geoscience-in-Review
|
https://paperswithcode.com/paper/70-years-of-machine-learning-in-geoscience-in
|
70 years of machine learning in geoscience in review
|
2006.13311
|
none
|
β
Official
|
π On GitHub
|
https://github.com/leanmodels/dfloat11
|
https://paperswithcode.com/paper/70-size-100-accuracy-lossless-llm-compression
|
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float
|
2504.11651
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/abbasilab/synthetic_7t_mri
|
https://paperswithcode.com/paper/7t-mri-synthesization-from-3t-acquisitions
|
7T MRI Synthesization from 3T Acquisitions
|
2403.08979
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/tonyfang04/8-calves
|
https://paperswithcode.com/paper/8-calves-image-dataset
|
8-Calves Image dataset
|
2503.13777
|
none
|
β
Official
|
π In Paper
|
https://github.com/facebookresearch/bitsandbytes
|
https://paperswithcode.com/paper/8-bit-optimizers-via-block-wise-quantization
|
8-bit Optimizers via Block-wise Quantization
|
2110.02861
|
none
|
β
Official
|
π In Paper
|
https://github.com/NAIST-SE/9.6MillionLinks
|
https://paperswithcode.com/paper/9-6-million-links-in-source-code-comments
|
9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay
|
1901.07440
|
none
|
β
Official
|
π In Paper
|
https://github.com/kellerjordan/cifar10-airbench
|
https://paperswithcode.com/paper/94-on-cifar-10-in-3-29-seconds-on-a-single
|
94% on CIFAR-10 in 3.29 Seconds on a Single GPU
|
2404.00498
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/chungsangng/gd
|
https://paperswithcode.com/paper/a-galactic-disk-model-for-three-dimensional
|
A "Galactic Disk"-Model for Three-Dimensional Bernstein-Greene-Kruskal Modes in a Finite Magnetic Field
|
2207.11632
|
none
|
β
Official
|
π In Paper
|
https://github.com/sabrinastronomy/rosetta-stone
|
https://paperswithcode.com/paper/a-rosetta-stone-for-studies-of-spatial
|
A "Rosetta Stone" for Studies of Spatial Variation in Astrophysical Data: Power Spectra, Semivariograms, Structure Functions, and More
|
2407.14068
|
none
|
β
Official
|
β No Mention
|
https://github.com/azamasl/jsymm
|
https://paperswithcode.com/paper/a-j-symmetric-quasi-newton-method-for-minimax
|
A $J$-Symmetric Quasi-Newton Method for Minimax Problems
|
2202.02279
|
none
|
β
Official
|
π In Paper
|
https://github.com/Vital-Fernandez/lime
|
https://paperswithcode.com/paper/a-li-ne-me-asuring-library-for-large-and
|
A $Li$ne $Me$asuring library for large and complex spectroscopic data sets: Implementation of a virtual observatory for JWST spectra
|
2405.15072
|
none
|
β
Official
|
π In Paper
|
https://github.com/guilhermepelegrina/k_addshap
|
https://paperswithcode.com/paper/a-k-additive-choquet-integral-based-approach
|
A $k$-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
|
2211.02166
|
none
|
β
Official
|
π In Paper
|
https://github.com/yjiang-iop/kdotp-generator
|
https://paperswithcode.com/paper/a-k-cdot-p-effective-hamiltonian-generator
|
A $k\cdot p$ effective Hamiltonian generator
|
2104.08493
|
none
|
β
Official
|
π In Paper
|
https://github.com/marcocarvalhoufop/mospdeltaevaluation
|
https://paperswithcode.com/paper/a-d-evaluation-function-for-column
|
A $Ξ$-evaluation function for column permutation problems
|
2409.04926
|
none
|
β
Official
|
π In Paper
|
https://github.com/mushunrek/gammapimodel.jl
|
https://paperswithcode.com/paper/a-l-fleming-viot-type-model-with
|
A $Ξ$-Fleming-Viot type model with intrinsically varying population size
|
2311.06100
|
none
|
β
Official
|
π In Paper
|
https://github.com/caliarim/kronpack
|
https://paperswithcode.com/paper/a-m-mode-blas-approach-for-multidimensional
|
A $ΞΌ$-mode BLAS approach for multidimensional tensor-structured problems
|
2112.11238
|
none
|
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.