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/siriuz42/treeboostVCM
|
https://paperswithcode.com/paper/tree-boosted-varying-coefficient-models
|
Tree Boosted Varying Coefficient Models
|
1904.01058
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/kohjingyu/search-agents
|
https://paperswithcode.com/paper/tree-search-for-language-model-agents
|
Tree Search for Language Model Agents
|
2407.01476
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ulaval-damas/Tree-Bark-Re-Identification
|
https://paperswithcode.com/paper/tree-bark-re-identification-using-a-deep
|
Tree bark re-identification using a deep-learning feature descriptor
|
1912.03221
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/masoudhashemi/AWMS
|
https://paperswithcode.com/paper/tree-of-problems-improving-structured-problem
|
Tree of Problems: Improving structured problem solving with compositionality
|
2410.06634
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/deboleenaroy/TreeCNN
|
https://paperswithcode.com/paper/tree-cnn-a-hierarchical-deep-convolutional
|
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
|
1802.05800
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/caoyingkui/TreeGen
|
https://paperswithcode.com/paper/treegen-a-tree-based-transformer-architecture
|
TreeGen: A Tree-Based Transformer Architecture for Code Generation
|
1911.09983
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/YechengLyu/TreeRNN
|
https://paperswithcode.com/paper/treernn-topology-preserving-deep
|
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning
|
2006.11825
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/hedixia/kernel_treelets
|
https://paperswithcode.com/paper/treelets-an-adaptive-multi-scale-basis-for
|
Treelets--An adaptive multi-scale basis for sparse unordered data
|
0707.0481
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/cuguilke/Treelogy
|
https://paperswithcode.com/paper/treelogy-a-novel-tree-classifier-utilizing
|
Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations
|
1701.08291
|
caffe2
|
β Unofficial
|
π On GitHub
|
https://github.com/doserjef/Doser_etal_2020_MR-MS-RS
|
https://paperswithcode.com/paper/trends-in-bird-abundance-differ-among
|
Trends in bird abundance differ among protected forests but not bird guilds
|
2008.12184
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/Kroupavel/TOECalc
|
https://paperswithcode.com/paper/trends-in-the-elastic-response-of-binary
|
Trends in the elastic response of binary early transition metal nitrides
|
1111.2737
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/kv2000/DeepCharacters_Pytorch
|
https://paperswithcode.com/paper/trihuman-a-real-time-and-controllable-tri
|
TriHuman : A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesis
|
2312.05161
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/liqunchen0606/triangle-gan
|
https://paperswithcode.com/paper/triangle-generative-adversarial-networks
|
Triangle Generative Adversarial Networks
|
1709.06548
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/ArmanMaesumi/triangle-inscribed-triangle-picking
|
https://paperswithcode.com/paper/triangle-inscribed-triangle-picking
|
Triangle Inscribed-Triangle Picking
|
1804.11007
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/Zengyi-Qin/TLNet
|
https://paperswithcode.com/paper/triangulation-learning-network-from-monocular-1
|
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
|
1906.01193
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/ericCartmanie/tribracket_module
|
https://paperswithcode.com/paper/tribracket-modules
|
Tribracket Modules
|
1808.04421
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/purvaten/treat
|
https://paperswithcode.com/paper/trick-or-treat-thematic-reinforcement-for
|
Trick or TReAT: Thematic Reinforcement for Artistic Typography
|
1903.07820
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/wangzhezhe/Gorilla
|
https://paperswithcode.com/paper/trigger-detection-for-adaptive-scientific
|
Trigger detection for adaptive scientific workflows using percentile sampling
|
1506.08258
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/vast-ai-research/triplanegaussian
|
https://paperswithcode.com/paper/triplane-meets-gaussian-splatting-fast-and
|
Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
|
2312.09147
|
jax
|
β Unofficial
|
π On GitHub
|
https://github.com/i13abe/Triplet-Loss-for-Knowledge-Distillation
|
https://paperswithcode.com/paper/triplet-loss-for-knowledge-distillation
|
Triplet Loss for Knowledge Distillation
|
2004.08116
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/Ananaskelly/TPE
|
https://paperswithcode.com/paper/triplet-probabilistic-embedding-for-face
|
Triplet Probabilistic Embedding for Face Verification and Clustering
|
1604.05417
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/popcornell/keras-triplet-center-loss
|
https://paperswithcode.com/paper/triplet-center-loss-for-multi-view-3d-object
|
Triplet-Center Loss for Multi-View 3D Object Retrieval
|
1803.06189
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/ssahn3087/pedestrian_detection
|
https://paperswithcode.com/paper/triplet-based-deep-similarity-learning-for
|
Triplet-based Deep Similarity Learning for Person Re-Identification
|
1802.03254
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/mandarjoshi90/triviaqa
|
https://paperswithcode.com/paper/triviaqa-a-large-scale-distantly-supervised
|
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
|
1705.03551
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/automl/trivialaugment
|
https://paperswithcode.com/paper/trivialaugment-tuning-free-yet-state-of-the
|
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
|
2103.10158
|
pytorch
|
β Unofficial
|
π In Paper
|
https://github.com/toshas/torch-householder
|
https://paperswithcode.com/paper/trivializations-for-gradient-based
|
Trivializations for Gradient-Based Optimization on Manifolds
|
1909.09501
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/nwpuhkp/DRL-Backdoor-Pong
|
https://paperswithcode.com/paper/trojdrl-trojan-attacks-on-deep-reinforcement
|
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents
|
1903.06638
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/sophiegif/FusionCNN_hurricanes
|
https://paperswithcode.com/paper/tropical-cyclone-track-forecasting-using
|
Tropical Cyclone Track Forecasting using Fused Deep Learning from Aligned Reanalysis Data
|
1910.10566
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/necoleman/relu_tropical_polynomial
|
https://paperswithcode.com/paper/tropical-geometry-of-deep-neural-networks
|
Tropical Geometry of Deep Neural Networks
|
1805.07091
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/QiwenKang/tropPCA
|
https://paperswithcode.com/paper/tropical-principal-component-analysis-and-its
|
Tropical Principal Component Analysis and its Application to Phylogenetics
|
1710.02682
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/bradenhurl/TruPercept
|
https://paperswithcode.com/paper/trupercept-trust-modelling-for-autonomous
|
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data
|
1909.07867
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/tvlearn/tvo
|
https://paperswithcode.com/paper/truncated-variational-expectation
|
Truncated Variational Expectation Maximization
|
1610.03113
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/huanfez/Multi-Robot-Symbolic-Motion-Planning-with-Trust-associated-HRI
|
https://paperswithcode.com/paper/trust-based-multi-robot-symbolic-motion
|
Trust-based Multi-Robot Symbolic Motion Planning with a Human-in-the-Loop
|
1808.05120
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/adobe/trustmark
|
https://paperswithcode.com/paper/trustmark-universal-watermarking-for
|
TrustMark: Universal Watermarking for Arbitrary Resolution Images
|
2311.18297
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/AdiDumi/TrustZero
|
https://paperswithcode.com/paper/trustzero-open-verifiable-and-scalable-zero
|
TrustZero - open, verifiable and scalable zero-trust
|
2502.10281
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/2023-MindSpore-4/Code13/tree/main/zhangchangqing/MpTMC-main
|
https://paperswithcode.com/paper/trusted-multi-view-classification-with
|
Trusted Multi-View Classification with Dynamic Evidential Fusion
|
2204.11423
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/microsoft/LoNLI
|
https://paperswithcode.com/paper/trusting-roberta-over-bert-insights-from
|
Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task
|
2107.07229
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/harp-project/erlang-semantics
|
https://paperswithcode.com/paper/trustworthy-refactoring-via-decomposition-and
|
Trustworthy Refactoring via Decomposition and Schemes: A Complex Case Study
|
1708.07225
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/cyberpunk317/Action_detection
|
https://paperswithcode.com/paper/tube-convolutional-neural-network-t-cnn-for
|
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
|
1703.10664
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/amazon-science/tubelet-transformer
|
https://paperswithcode.com/paper/tuber-tube-transformer-for-action-detection
|
TubeR: Tubelet Transformer for Video Action Detection
|
2104.00969
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/tubu-io/service
|
https://paperswithcode.com/paper/tubu-io-decentralized-application-development
|
Tubu-io Decentralized Application Development & Test Workbench
|
2103.11187
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/MaxenceGiraud/TensorTemporalKG
|
https://paperswithcode.com/paper/tucker-decomposition-based-temporal-knowledge
|
Tucker decomposition-based Temporal Knowledge Graph Completion
|
2011.07751
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/hri-eu/tulip_agent
|
https://paperswithcode.com/paper/tulip-agent-enabling-llm-based-agents-to
|
Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries
|
2407.21778
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/shariq-mohammed/marbles
|
https://paperswithcode.com/paper/tumor-radiogenomics-with-bayesian-layered
|
Tumor Radiogenomics with Bayesian Layered Variable Selection
|
2106.10941
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/KevinMTO/MyGeoDock
|
https://paperswithcode.com/paper/tunable-approximations-to-control-time-to
|
Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App
|
1901.06363
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/vietphamngoc/exact
|
https://paperswithcode.com/paper/tunable-quantum-neural-networks-for-boolean
|
Tunable Quantum Neural Networks for Boolean Functions
|
2003.14122
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ray-project/ray/tree/master/python/ray/tune
|
https://paperswithcode.com/paper/tune-a-research-platform-for-distributed
|
Tune: A Research Platform for Distributed Model Selection and Training
|
1807.05118
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/Kukanani/tune-net-release
|
https://paperswithcode.com/paper/tunenet-one-shot-residual-tuning-for-system
|
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
|
1907.11200
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/LedererLab/tridge
|
https://paperswithcode.com/paper/tuning-free-ridge-estimators-for-high
|
Tuning-free ridge estimators for high-dimensional generalized linear models
|
2002.11916
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/widdiot/Tuplemax-Loss
|
https://paperswithcode.com/paper/tuplemax-loss-for-language-identification
|
Tuplemax Loss for Language Identification
|
1811.12290
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/GiilDe/turbo-edit
|
https://paperswithcode.com/paper/turboedit-text-based-image-editing-using-few
|
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models
|
2408.00735
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/seongjinpark-88/RumorEval2019
|
https://paperswithcode.com/paper/turing-at-semeval-2017-task-8-sequential
|
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
|
1704.07221
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/rowanz/turingadvice
|
https://paperswithcode.com/paper/evaluating-machines-by-their-real-world
|
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
|
2004.03607
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/togayyazar/Lingan
|
https://paperswithcode.com/paper/turkronicles-diachronic-resources-for-the
|
Turkronicles: Diachronic Resources for the Fast Evolving Turkish Language
|
2405.10133
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/fangl94/SS21-IOT-Security
|
https://paperswithcode.com/paper/turning-internet-of-things-iot-into-internet
|
Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT Botnets
|
1702.03681
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/antoinelanco/OnlinePartialEvaluation
|
https://paperswithcode.com/paper/tutorial-on-online-partial-evaluation
|
Tutorial on Online Partial Evaluation
|
1109.0781
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/migariane/TutorialCausalInferenceEstimators
|
https://paperswithcode.com/paper/tutorial-introduction-to-computational-causal
|
Tutorial: Introduction to computational causal inference using reproducible Stata, R and Python code
|
2012.09920
|
none
|
β Unofficial
|
π In Paper
|
https://github.com/twitter/the-algorithm-ml
|
https://paperswithcode.com/paper/twhin-embedding-the-twitter-heterogeneous
|
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation
|
2202.05387
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/so-okada/twXiv
|
https://paperswithcode.com/paper/tweets-as-impact-indicators-examining-the
|
Tweets as impact indicators: Examining the implications of automated bot accounts on Twitter
|
1410.4139
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/rajtyagi2718/fibonacci-benchmarks
|
https://paperswithcode.com/paper/twelve-simple-algorithms-to-compute-fibonacci
|
Twelve Simple Algorithms to Compute Fibonacci Numbers
|
1803.07199
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/shyam671/Twin_Auxiliary_Classifier_GAN
|
https://paperswithcode.com/paper/twin-auxiliary-classifiers-gan
|
Twin Auxiliary Classifiers GAN
|
1907.02690
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/MindSpore-paper-code-2/code3/tree/main/Twins
|
https://paperswithcode.com/paper/twin-regularization-for-online-speech
|
Twin Regularization for online speech recognition
|
1804.05374
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/valentermz/Twin-vector-fields
|
https://paperswithcode.com/paper/twin-vector-fields-and-independence-of
|
Twin vector fields and independence of spectra for quadratic vector fields
|
1508.02413
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/deepampatel/TwinBert
|
https://paperswithcode.com/paper/twinbert-distilling-knowledge-to-twin
|
TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval
|
2002.06275
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/idia-astro/gridflag
|
https://paperswithcode.com/paper/two-procedures-to-flag-radio-frequency
|
Two procedures to flag radio frequency interference in the UV plane
|
1711.00128
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/kevinlacaille/HS1549-HS1700-S2-protoclusters
|
https://paperswithcode.com/paper/two-sub-millimetre-bright-protoclusters
|
Two sub-millimetre bright protoclusters bounding the epoch of peak star formation activity
|
1809.06882
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ms32g13/3HDM-charged-Higgs
|
https://paperswithcode.com/paper/two-and-three-body-decay-modes-of-susy-higgs
|
Two- and Three-Body Decay Modes of SUSY Higgs Particles
|
hep-ph/9511342
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/yuj120254/BHHeGraphene
|
https://paperswithcode.com/paper/two-dimensional-bose-hubbard-model-for-helium
|
Two-Dimensional Bose-Hubbard Model for Helium on Graphene
|
2102.11288
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/pyxem/pyxem
|
https://paperswithcode.com/paper/two-dimensional-strain-mapping-with-scanning
|
Two-Dimensional Strain Mapping with Scanning Precession Electron Diffraction: An Investigation into Data Analysis Routines
|
2307.01071
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/CoqHott/coq-2ltt
|
https://paperswithcode.com/paper/two-level-type-theory-and-applications
|
Two-Level Type Theory and Applications
|
1705.03307
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/nnaisense/conditional-style-transfer
|
https://paperswithcode.com/paper/conditional-neural-style-transfer-with-peer
|
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer
|
1906.02913
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/lucasgnz/question_answering
|
https://paperswithcode.com/paper/two-stage-synthesis-networks-for-transfer
|
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
|
1706.09789
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/ELKYang/2s-AGCN-paddle
|
https://paperswithcode.com/paper/non-local-graph-convolutional-networks-for
|
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
|
1805.07694
|
paddle
|
β Unofficial
|
β No Mention
|
https://github.com/fengpings/Two-branch-Document-Recapture
|
https://paperswithcode.com/paper/two-branch-multi-scale-deep-neural-network
|
Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack Detection
|
2211.16786
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/corcoted/quasicrystaloptics
|
https://paperswithcode.com/paper/190306610
|
Two-dimensional optical quasicrystal potentials for ultracold atom experiments
|
1903.06610
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/maausdemore/TwoStageApproach_BayesianPValue
|
https://paperswithcode.com/paper/two-stage-approach-for-the-inference-of-the
|
Two-stage approach for the inference of the source of high-dimension and complex chemical data in forensic science
|
1804.01049
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/joe-warrington/twostage_drrp
|
https://paperswithcode.com/paper/two-stage-stochastic-approximation-for
|
Two-stage stochastic approximation for dynamic rebalancing of shared mobility systems
|
1810.01804
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/aniruddha343/Two-stream-Encoder-Decoder-Network-for-Image-Forensics
|
https://paperswithcode.com/paper/two-stream-encoder-decoder-network-for
|
Two-stream Encoder-Decoder Network for Localizing Image Forgeries
|
2009.12881
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/chappertron/TSEOS
|
https://paperswithcode.com/paper/two-structure-thermodynamics-for-the-tip4p
|
Two-structure thermodynamics for the TIP4P/2005 model of water covering supercooled and deeply stretched regions
|
1611.00443
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/tombartlett/SBDN
|
https://paperswithcode.com/paper/two-way-sparsity-for-time-varying-networks
|
Two-way sparsity for time-varying networks, with applications in genomics
|
1802.08114
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/Ravoxsg/Word-level-language-modeling
|
https://paperswithcode.com/paper/tying-word-vectors-and-word-classifiers-a
|
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
|
1611.01462
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/MickaelRigault/pysnid
|
https://paperswithcode.com/paper/type-ii-supernova-spectral-diversity-i
|
Type II supernova spectral diversity I: Observations, sample characterization and spectral line evolution
|
1709.02487
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/misho104/leptogenesis_option
|
https://paperswithcode.com/paper/type-i-seesaw-as-the-common-origin-of
|
Type-I Seesaw as the Common Origin of Neutrino Mass, Baryon Asymmetry, and the Electroweak Scale
|
1905.12634
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/typefly/TypeFly
|
https://paperswithcode.com/paper/typefly-flying-drones-with-large-language
|
TypeFly: Flying Drones with Large Language Model
|
2312.14950
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/NikV-JS/U-Det
|
https://paperswithcode.com/paper/u-det-a-modified-u-net-architecture-with
|
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation
|
2003.09293
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/XiangMa-Shaun/U-Mixer
|
https://paperswithcode.com/paper/u-mixer-an-unet-mixer-architecture-with
|
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
|
2401.02236
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/HXLH50K/U-Net-Transformer
|
https://paperswithcode.com/paper/u-net-transformer-self-and-cross-attention
|
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
|
2103.06104
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/bionicvisionlab/2021-HBA-U-Net
|
https://paperswithcode.com/paper/u-net-with-hierarchical-bottleneck-attention
|
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina
|
2107.04721
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/FudanNLP/UNet
|
https://paperswithcode.com/paper/u-net-machine-reading-comprehension-with
|
U-Net: Machine Reading Comprehension with Unanswerable Questions
|
1810.06638
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jviquerat/U-net_laminar_flow
|
https://paperswithcode.com/paper/u-net-architectures-for-fast-prediction-of
|
U-net architectures for fast prediction of incompressible laminar flows
|
1910.13532
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/abecker93/UAFS
|
https://paperswithcode.com/paper/uafs-uncertainty-aware-feature-selection-for
|
UAFS: Uncertainty-Aware Feature Selection for Problems with Missing Data
|
1904.01385
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/BelotserkovskiyVA/AE_for_UAV_localization
|
https://paperswithcode.com/paper/uav-localization-using-autoencoded-satellite
|
UAV Localization Using Autoencoded Satellite Images
|
2102.05692
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/dingdingtom/ubarv2
|
https://paperswithcode.com/paper/ubarv2-towards-mitigating-exposure-bias-in
|
UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs
|
2209.07239
|
pytorch
|
β Unofficial
|
π In Paper
|
https://github.com/UniversalConceptualCognitiveAnnotation/docs
|
https://paperswithcode.com/paper/ucca-s-foundational-layer-annotation
|
UCCA's Foundational Layer: Annotation Guidelines v2.1
|
2012.15810
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/MindSpore-scientific/code-8/tree/main/UE-Unified-Embedding-Battle-Tested-Feature
|
https://paperswithcode.com/paper/uer-an-open-source-toolkit-for-pre-training
|
UER: An Open-Source Toolkit for Pre-training Models
|
1909.05658
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/UFOAttention.py
|
https://paperswithcode.com/paper/ufo-vit-high-performance-linear-vision
|
UFO-ViT: High Performance Linear Vision Transformer without Softmax
|
2109.14382
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/TheLaoLab/UIBDiffusion
|
https://paperswithcode.com/paper/uibdiffusion-universal-imperceptible-backdoor
|
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
|
2412.11441
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/hieunghia-pat/OpenViIC
|
https://paperswithcode.com/paper/uit-viic-a-dataset-for-the-first-evaluation
|
UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning
|
2002.00175
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/ispc-lab/umc
|
https://paperswithcode.com/paper/umc-a-unified-bandwidth-efficient-and-multi
|
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
|
2303.12400
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/rubind/UNITY_v1
|
https://paperswithcode.com/paper/unity-confronting-supernova-cosmology-s
|
UNITY: Confronting Supernova Cosmology's Statistical and Systematic Uncertainties in a Unified Bayesian Framework
|
1507.01602
|
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.