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/seomoz/word2gauss
|
https://paperswithcode.com/paper/word-representations-via-gaussian-embedding
|
Word Representations via Gaussian Embedding
|
1412.6623
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/agnusmaximus/Word2Bits
|
https://paperswithcode.com/paper/word2bits-quantized-word-vectors
|
Word2Bits - Quantized Word Vectors
|
1803.05651
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/azmiozgen/text2painting
|
https://paperswithcode.com/paper/words-as-art-materials-generating-paintings
|
Words as Art Materials: Generating Paintings with Sequential GANs
|
2007.04383
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/benedictwilkins/world-of-bugs
|
https://paperswithcode.com/paper/world-of-bugs-a-platform-for-automated-bug
|
World of Bugs: A Platform for Automated Bug Detection in 3D Video Games
|
2206.11037
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/AdrienTaylor/Performance-Estimation-Problems-For-Newton
|
https://paperswithcode.com/paper/worst-case-convergence-analysis-of-inexact
|
Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation
|
1709.05191
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/himanshuladia/signature-recognizer
|
https://paperswithcode.com/paper/writer-independent-offline-signature
|
Writer Independent Offline Signature Recognition Using Ensemble Learning
|
1901.06494
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/dbdahl/cargo-framework
|
https://paperswithcode.com/paper/writing-r-extensions-in-rust
|
Writing R Extensions in Rust
|
2108.07179
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/MS-P3/code4/tree/main/wukong
|
https://paperswithcode.com/paper/wukong-reader-multi-modal-pre-training-for
|
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding
|
2212.09621
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/0jason000/wukong
|
https://paperswithcode.com/paper/wukong-100-million-large-scale-chinese-cross
|
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
|
2202.06767
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/ducha-aiki/wxbs-descriptors-benchmark
|
https://paperswithcode.com/paper/wxbs-wide-baseline-stereo-generalizations
|
WxBS: Wide Baseline Stereo Generalizations
|
1504.06603
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/utahnlp/x-fact
|
https://paperswithcode.com/paper/x-fact-a-new-benchmark-dataset-for
|
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking
|
2106.09248
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jzbjyb/x-factr
|
https://paperswithcode.com/paper/multilingual-factual-knowledge-retrieval-from
|
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
|
2010.06189
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/phellonchen/x-llm
|
https://paperswithcode.com/paper/x-llm-bootstrapping-advanced-large-language
|
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
|
2305.04160
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/fraunhoferhhi/X-maps
|
https://paperswithcode.com/paper/x-maps-direct-depth-lookup-for-event-based-1
|
X-maps: Direct Depth Lookup for Event-based Structured Light Systems
|
2402.10061
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/anshuman1998/csresid
|
https://paperswithcode.com/paper/x-ray-activity-on-the-star-planet-interaction
|
X-ray Activity Variations and Coronal Abundances of the Star-Planet Interaction candidate HD 179949
|
2211.01011
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/mstockmann/Composite_MQG
|
https://paperswithcode.com/paper/x-shooter-spectroscopy-and-hst-imaging-of-15
|
X-shooter Spectroscopy and HST Imaging of 15 Ultra Massive Quiescent Galaxies at $z\gtrsim2$
|
1912.01619
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/tusharsarkar3/XBNet
|
https://paperswithcode.com/paper/xbnet-an-extremely-boosted-neural-network
|
XBNet : An Extremely Boosted Neural Network
|
2106.05239
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/awietek/hydra
|
https://paperswithcode.com/paper/xdiag-exact-diagonalization-for-quantum-many
|
XDiag: Exact Diagonalization for Quantum Many-Body Systems
|
2505.02901
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/XENON1T/s2only_data_release
|
https://paperswithcode.com/paper/xenon1t-dark-matter-data-analysis-signal
|
XENON1T Dark Matter Data Analysis: Signal & Background Models, and Statistical Inference
|
1902.11297
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/lmu-plai/xfl
|
https://paperswithcode.com/paper/xfl-extreme-function-labeling
|
XFL: Naming Functions in Binaries with Extreme Multi-label Learning
|
2107.13404
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/verlab/accelerated_features
|
https://paperswithcode.com/paper/xfeat-accelerated-features-for-lightweight
|
XFeat: Accelerated Features for Lightweight Image Matching
|
2404.19174
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/catalina17/XFlow
|
https://paperswithcode.com/paper/xflow-1d-2d-cross-modal-deep-neural-networks
|
XFlow: Cross-modal Deep Neural Networks for Audiovisual Classification
|
1709.00572
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/microsoft/XGLUE
|
https://paperswithcode.com/paper/xglue-a-new-benchmark-dataset-for-cross
|
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
|
2004.01401
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/for-just-we/xgnn-impl
|
https://paperswithcode.com/paper/xgnn-towards-model-level-explanations-of
|
XGNN: Towards Model-Level Explanations of Graph Neural Networks
|
2006.02587
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/mlc-ai/xgrammar
|
https://paperswithcode.com/paper/xgrammar-flexible-and-efficient-structured
|
XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models
|
2411.15100
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/pasinit/xlwic-runs
|
https://paperswithcode.com/paper/xl-wic-a-multilingual-benchmark-for
|
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
|
2010.06478
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/Mind23-2/MindCode-151
|
https://paperswithcode.com/paper/xlm-e-cross-lingual-language-model-pre
|
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
|
2106.16138
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/MindCode-4/code-5/tree/main/xlm
|
https://paperswithcode.com/paper/xlm-k-improving-cross-lingual-language-model
|
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge
|
2109.12573
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/facebookresearch/XNLI
|
https://paperswithcode.com/paper/xnli-evaluating-cross-lingual-sentence
|
XNLI: Evaluating Cross-lingual Sentence Representations
|
1809.05053
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/mehtadushy/SelecSLS-Pytorch
|
https://paperswithcode.com/paper/xnect-real-time-multi-person-3d-human-pose
|
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
|
1907.00837
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/mmfrxx/X-net
|
https://paperswithcode.com/paper/xnet-a-convolutional-neural-network-cnn
|
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets
|
1812.00548
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jungokasai/XOR_QA_MTPipeline
|
https://paperswithcode.com/paper/xor-qa-cross-lingual-open-retrieval-question
|
XOR QA: Cross-lingual Open-Retrieval Question Answering
|
2010.11856
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/f78bono/deep-cine-cardiac-mri
|
https://paperswithcode.com/paper/xpdnet-for-mri-reconstruction-an-application
|
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge
|
2010.07290
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/abhmodels/f-code
|
https://paperswithcode.com/paper/xspec-model-for-testing-the-kerr-black-hole
|
XSPEC model for testing the Kerr black hole hypothesis using the continuum-fitting method
|
1903.09782
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/pquochuy/xsleepnet
|
https://paperswithcode.com/paper/xsleepnet-multi-view-sequential-model-for
|
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
|
2007.05492
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/ieee8023/XTreePath
|
https://paperswithcode.com/paper/150501303
|
XTreePath: A generalization of XPath to handle real world structural variation
|
1505.01303
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/littletomatodonkey/Augment-XY-CUT
|
https://paperswithcode.com/paper/xylayoutlm-towards-layout-aware-multimodal
|
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding
|
2203.06947
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/timeseriesAI/tsai/blob/main/tsai/models/XceptionTime.py
|
https://paperswithcode.com/paper/xceptiontime-a-novel-deep-architecture-based
|
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification
|
1911.03803
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/FOSSEE/xcos-on-web
|
https://paperswithcode.com/paper/xcos-on-web-as-a-promising-learning-tool-for
|
Xcos on Web as a promising learning tool for Bachelor's of Electromechanics modeling of technical objects
|
1808.04203
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ocean-intelligent-forecasting/xihe-globaloceanforecasting
|
https://paperswithcode.com/paper/xihe-a-data-driven-model-for-global-ocean
|
XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting
|
2402.02995
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/MS-P3/code7/tree/main/xmod
|
https://paperswithcode.com/paper/xmodel-lm-technical-report
|
Xmodel-LM Technical Report
|
2406.02856
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/kagnlp/Xolver
|
https://paperswithcode.com/paper/xolver-multi-agent-reasoning-with-holistic
|
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
|
2506.14234
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ahme0307/Ynet
|
https://paperswithcode.com/paper/y-net-a-deep-convolutional-neural-network-for
|
Y-Net: A deep Convolutional Neural Network for Polyp Detection
|
1806.01907
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/StevenBanama/Yolo-lite-Gesture
|
https://paperswithcode.com/paper/yolo-lite-a-real-time-object-detection
|
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers
|
1811.05588
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/notmariekondo/notmariekondo
|
https://paperswithcode.com/paper/yolop-you-only-look-once-for-panoptic-driving
|
YOLOP: You Only Look Once for Panoptic Driving Perception
|
2108.11250
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/MindCode-4/code-5/tree/main/yolos
|
https://paperswithcode.com/paper/yolostereo3d-a-step-back-to-2d-for-efficient
|
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
|
2103.09422
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection
|
https://paperswithcode.com/paper/yolov10-real-time-end-to-end-object-detection
|
YOLOv10: Real-Time End-to-End Object Detection
|
2405.14458
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv3
|
https://paperswithcode.com/paper/yolov3-with-spatial-pyramid-pooling-for
|
YOLOv3 with Spatial Pyramid Pooling for Object Detection with Unmanned Aerial Vehicles
|
2305.12344
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/kadirnar/yolov6-pip
|
https://paperswithcode.com/paper/yolov6-a-single-stage-object-detection
|
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
|
2209.02976
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection
|
https://paperswithcode.com/paper/yolov9-learning-what-you-want-to-learn-using
|
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
|
2402.13616
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/yuncheng97/yona
|
https://paperswithcode.com/paper/yona-you-only-need-one-adjacent-reference
|
YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
|
2306.03686
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/qwenlm/qwq
|
https://paperswithcode.com/paper/yarn-efficient-context-window-extension-of
|
YaRN: Efficient Context Window Extension of Large Language Models
|
2309.00071
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/yadage/yadage
|
https://paperswithcode.com/paper/yadage-and-packtivity-analysis-preservation
|
Yadage and Packtivity - analysis preservation using parametrized workflows
|
1706.01878
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/JamesJang26/YALENLP-PerAnsSumm-2025
|
https://paperswithcode.com/paper/yalenlp-peranssumm-2025-multi-perspective-1
|
YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization
|
2504.03932
|
none
|
β Unofficial
|
π In Paper
|
https://github.com/yedmed/steganalysis_with_CNN_Yedroudj-Net
|
https://paperswithcode.com/paper/yedrouj-net-an-efficient-cnn-for-spatial
|
Yedrouj-Net: An efficient CNN for spatial steganalysis
|
1803.00407
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/JianGoForIt/YellowFin
|
https://paperswithcode.com/paper/yellowfin-and-the-art-of-momentum-tuning
|
YellowFin and the Art of Momentum Tuning
|
1706.03471
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/kuba--/ut
|
https://paperswithcode.com/paper/yet-another-efficient-unification-algorithm
|
Yet Another Efficient Unification Algorithm
|
cs/0603080
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/NikhilBadami/YogiAI
|
https://paperswithcode.com/paper/yoga-82-a-new-dataset-for-fine-grained
|
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
|
2004.10362
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/zk2ly/Glass_insulator_defect_detection
|
https://paperswithcode.com/paper/you-only-look-twice-rapid-multi-scale-object
|
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
|
1805.09512
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/findoctor/YOPO_reproduce
|
https://paperswithcode.com/paper/you-only-propagate-once-painless-adversarial
|
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
|
1905.00877
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/XinbangZhang/DSO-NAS
|
https://paperswithcode.com/paper/you-only-search-once-single-shot-neural
|
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
|
1811.01567
|
mxnet
|
β Unofficial
|
π On GitHub
|
https://github.com/joonson/yousaidthat
|
https://paperswithcode.com/paper/you-said-that
|
You said that?
|
1705.02966
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/epfl-dlab/YouNiverse
|
https://paperswithcode.com/paper/youniverse-large-scale-channel-and-video
|
YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube
|
2012.10378
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/srkds/Query-Focused-Long-Video-Summarization
|
https://paperswithcode.com/paper/your-interest-your-summaries-query-focused
|
Your Interest, Your Summaries: Query-Focused Long Video Summarization
|
2410.14087
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/MindCode-4/code-5/tree/main/vit_hybrid
|
https://paperswithcode.com/paper/your-vit-is-secretly-a-hybrid-discriminative
|
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
|
2208.07791
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/gbatzolis/id-diff
|
https://paperswithcode.com/paper/your-diffusion-model-secretly-knows-the
|
Your diffusion model secretly knows the dimension of the data manifold
|
2212.12611
|
jax
|
β Unofficial
|
π On GitHub
|
https://github.com/edresson/yourtts
|
https://paperswithcode.com/paper/yourtts-towards-zero-shot-multi-speaker-tts
|
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
|
2112.02418
|
none
|
β Unofficial
|
π In Paper
|
https://github.com/Shawn-Inspur/Yuan-1.0
|
https://paperswithcode.com/paper/yuan-1-0-large-scale-pre-trained-language
|
Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning
|
2110.04725
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/ZJUNlict/mAn
|
https://paperswithcode.com/paper/zjunlict-extended-team-description-paper-for
|
ZJUNlict Extended Team Description Paper for RoboCup 2019
|
1905.09157
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/dalefrakes/netlogo-tutorial
|
https://paperswithcode.com/paper/zaller-deffuant-model-of-mass-opinion
|
Zaller-Deffuant model of mass opinion
|
0908.2519
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/r-pad/zephyr
|
https://paperswithcode.com/paper/zephyr-zero-shot-pose-hypothesis-rating
|
ZePHyR: Zero-shot Pose Hypothesis Rating
|
2104.13526
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/PaddlePaddle/FleetX/blob/develop/examples/resnet/train_fleet_sharding.py
|
https://paperswithcode.com/paper/zero-memory-optimization-towards-training-a
|
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
|
1910.02054
|
paddle
|
β Unofficial
|
β No Mention
|
https://github.com/ttchengab/zest_code
|
https://paperswithcode.com/paper/zest-zero-shot-material-transfer-from-a
|
ZeST: Zero-Shot Material Transfer from a Single Image
|
2404.06425
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/huggingface/alignment-handbook
|
https://paperswithcode.com/paper/zephyr-direct-distillation-of-lm-alignment
|
Zephyr: Direct Distillation of LM Alignment
|
2310.16944
|
pytorch
|
β Unofficial
|
π In Paper
|
https://github.com/pcwhy/AdaBelief-Matlab
|
https://paperswithcode.com/paper/zero-bias-deep-learning-for-accurate
|
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices
|
2009.02267
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/Siddharthss500/zero-resource
|
https://paperswithcode.com/paper/zero-resource-cross-domain-named-entity
|
Zero-Resource Cross-Domain Named Entity Recognition
|
2002.05923
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/datamanagementlab/zero-shot-cost-estimation
|
https://paperswithcode.com/paper/zero-shot-cost-models-for-out-of-the-box
|
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction
|
2201.00561
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/howBiGaStorm/ZeroShot-YOLO
|
https://paperswithcode.com/paper/zero-shot-detection
|
Zero-Shot Detection
|
1803.07113
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/liernisestorain/zero-shot-dual-MT
|
https://paperswithcode.com/paper/zero-shot-dual-machine-translation
|
Zero-Shot Dual Machine Translation
|
1805.10338
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/andreamazzitelli/ProjectNN
|
https://paperswithcode.com/paper/zero-shot-image-restoration-using-denoising
|
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
|
2212.00490
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/jefflai108/pytorch-kaldi-neural-speaker-embeddings
|
https://paperswithcode.com/paper/zero-shot-multi-speaker-text-to-speech-with
|
Zero-Shot Multi-Speaker Text-To-Speech with State-of-the-art Neural Speaker Embeddings
|
1910.10838
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/agi-edgerunners/llm-next-item-rec
|
https://paperswithcode.com/paper/zero-shot-next-item-recommendation-using
|
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
|
2304.03153
|
none
|
β Unofficial
|
π In Paper
|
https://github.com/berkandemirel/zero-shot-detection
|
https://paperswithcode.com/paper/zero-shot-object-detection-by-hybrid-region
|
Zero-Shot Object Detection by Hybrid Region Embedding
|
1805.06157
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ymcidence/Zero-Shot-Sketch-Image-Hashing
|
https://paperswithcode.com/paper/zero-shot-sketch-image-hashing
|
Zero-Shot Sketch-Image Hashing
|
1803.02284
|
tf
|
β Unofficial
|
β No Mention
|
https://github.com/seriousssam/zero-shot-task-generalization-implementation
|
https://paperswithcode.com/paper/zero-shot-task-generalization-with-multi-task
|
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
|
1706.05064
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/rishikksh20/Zero-Shot-TTS
|
https://paperswithcode.com/paper/zero-shot-text-to-speech-for-text-based
|
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
|
2109.05426
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jinhualiang/tage
|
https://paperswithcode.com/paper/zero-shot-unsupervised-and-text-based-audio
|
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
|
2402.10009
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/3Dimaging-ucl/Building_Age_Classifier_with_FI-London
|
https://paperswithcode.com/paper/zero-shot-building-age-classification-from
|
Zero-shot Building Age Classification from Facade Image Using GPT-4
|
2404.09921
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ali-vilab/MimicBrush
|
https://paperswithcode.com/paper/zero-shot-image-editing-with-reference
|
Zero-shot Image Editing with Reference Imitation
|
2406.07547
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/ali-chr/ZSL_3D_point_cloud
|
https://paperswithcode.com/paper/zero-shot-learning-of-3d-point-cloud-objects
|
Zero-shot Learning of 3D Point Cloud Objects
|
1902.10272
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/neulab/pivot-based-entity-linking
|
https://paperswithcode.com/paper/zero-shot-neural-transfer-for-cross-lingual
|
Zero-shot Neural Transfer for Cross-lingual Entity Linking
|
1811.04154
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/buoyancy99/sap
|
https://paperswithcode.com/paper/scoring-aggregating-planning-learning-task
|
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation
|
1910.08143
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/jiashunwang/ZPT
|
https://paperswithcode.com/paper/zero-shot-pose-transfer-for-unrigged-stylized-1
|
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters
|
2306.00200
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/gyhandy/Fonts_dataset
|
https://paperswithcode.com/paper/zero-shot-synthesis-with-group-supervised
|
Zero-shot Synthesis with Group-Supervised Learning
|
2009.06586
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/JD-AI-Research-Silicon-Valley/auxiliary-task-for-text-to-sql
|
https://paperswithcode.com/paper/zero-shot-text-to-sql-learning-with-auxiliary
|
Zero-shot Text-to-SQL Learning with Auxiliary Task
|
1908.11052
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/Fangyin1994/KCL
|
https://paperswithcode.com/paper/zero-shot-visual-question-answering-using
|
Zero-shot Visual Question Answering using Knowledge Graph
|
2107.05348
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/lampinen/homm_grids
|
https://paperswithcode.com/paper/embedded-meta-learning-toward-more-flexible
|
Zero-shot task adaptation by homoiconic meta-mapping
|
1905.09950
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/zerodb/zerodb
|
https://paperswithcode.com/paper/zerodb-white-paper
|
ZeroDB white paper
|
1602.07168
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/IBM/ZOSVRG-BlackBox-Adv
|
https://paperswithcode.com/paper/zeroth-order-stochastic-variance-reduction
|
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
|
1805.10367
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/haietza/zip-trees
|
https://paperswithcode.com/paper/zip-trees
|
Zip Trees
|
1806.06726
|
none
|
β Unofficial
|
π On GitHub
|
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.