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/bilzinet/Traffic-state-reconstruction-using-Deep-CNN
|
https://paperswithcode.com/paper/traffic-data-imputation-using-deep
|
Traffic Data Imputation using Deep Convolutional Neural Networks
|
2002.04406
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/STASVLAD/Tips-and-Tricks-in-DL
|
https://paperswithcode.com/paper/traffic-light-recognition-using-deep-learning
|
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars
|
1906.11886
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/mbinjavaid/traffic-routes-qc
|
https://paperswithcode.com/paper/traffic-flow-optimization-using-a-quantum
|
Traffic flow optimization using a quantum annealer
|
1708.01625
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/metadriverse/trafficgen
|
https://paperswithcode.com/paper/trafficgen-learning-to-generate-diverse-and
|
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
|
2210.06609
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/hohonu-vicml/trailblazer
|
https://paperswithcode.com/paper/trailblazer-trajectory-control-for-diffusion
|
TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
|
2401.00896
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/adamlin120/Zero-shot_Classification_of_News_Title
|
https://paperswithcode.com/paper/train-once-test-anywhere-zero-shot-learning
|
Train Once, Test Anywhere: Zero-Shot Learning for Text Classification
|
1712.05972
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/Zasder3/Tganv2-PyTorch-Train-Sparsely--Generate-Densely
|
https://paperswithcode.com/paper/tganv2-efficient-training-of-large-models-for
|
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
|
1811.09245
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/HazyResearch/epoxy
|
https://paperswithcode.com/paper/train-and-you-ll-miss-it-interactive-model
|
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings
|
2006.15168
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/asteroid-team/asteroid-filterbanks/blob/master/asteroid_filterbanks/pcen.py
|
https://paperswithcode.com/paper/trainable-frontend-for-robust-and-far-field
|
Trainable Frontend For Robust and Far-Field Keyword Spotting
|
1607.05666
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/kyunghyuncho/rl-pong
|
https://paperswithcode.com/paper/trainable-greedy-decoding-for-neural-machine
|
Trainable Greedy Decoding for Neural Machine Translation
|
1702.02429
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/wadayama/overloaded_MIMO
|
https://paperswithcode.com/paper/trainable-projected-gradient-detector-for
|
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach
|
1812.10044
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/soheil-khorram/TTW
|
https://paperswithcode.com/paper/trainable-time-warping-aligning-time-series
|
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
|
1903.09245
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/sayakpaul/Training-BatchNorm-and-Only-BatchNorm
|
https://paperswithcode.com/paper/training-batchnorm-and-only-batchnorm-on-the
|
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
|
2003.00152
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/karpathy/llama2.c
|
https://paperswithcode.com/paper/training-compute-optimal-large-language
|
Training Compute-Optimal Large Language Models
|
2203.15556
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/Abdelpakey/SVD-solution-for-the-ill-posed
|
https://paperswithcode.com/paper/training-deep-networks-with-structured-layers
|
Training Deep Networks with Structured Layers by Matrix Backpropagation
|
1509.07838
|
torch
|
β Unofficial
|
π On GitHub
|
https://github.com/diyer22/bpycv
|
https://paperswithcode.com/paper/training-deep-networks-with-synthetic-data
|
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
|
1804.06516
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/LCWdmlearning/Improve-nsfw
|
https://paperswithcode.com/paper/training-deeper-convolutional-networks-with
|
Training Deeper Convolutional Networks with Deep Supervision
|
1505.02496
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/daje0601/Google_SCoRe
|
https://paperswithcode.com/paper/training-language-models-to-self-correct-via
|
Training Language Models to Self-Correct via Reinforcement Learning
|
2409.12917
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/TezRomacH/layer-to-layer-pytorch
|
https://paperswithcode.com/paper/training-large-neural-networks-with-constant
|
Training Large Neural Networks with Constant Memory using a New Execution Algorithm
|
2002.05645
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/microsoft/speedyrec
|
https://paperswithcode.com/paper/training-microsoft-news-recommenders-with
|
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
|
2102.09268
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/ydc123/Meta_Surrogate_Model
|
https://paperswithcode.com/paper/training-meta-surrogate-model-for
|
Training Meta-Surrogate Model for Transferable Adversarial Attack
|
2109.01983
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/Exe-dev/PersonaGeneration
|
https://paperswithcode.com/paper/training-millions-of-personalized-dialogue
|
Training Millions of Personalized Dialogue Agents
|
1809.01984
|
none
|
β Unofficial
|
π On GitHub
|
https://gitlab.umiacs.umd.edu/tomg/admm_nets
|
https://paperswithcode.com/paper/training-neural-networks-without-gradients-a
|
Training Neural Networks Without Gradients: A Scalable ADMM Approach
|
1605.02026
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/avidale/arxivarius
|
https://paperswithcode.com/paper/training-neural-response-selection-for-task
|
Training Neural Response Selection for Task-Oriented Dialogue Systems
|
1906.01543
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/VLL-HD/IB-INN
|
https://paperswithcode.com/paper/exact-information-bottleneck-with-invertible
|
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
|
2001.06448
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/LucaMozzo/SpikingNeuralNetwork
|
https://paperswithcode.com/paper/training-probabilistic-spiking-neural
|
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding
|
1710.10704
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/abhi2610/ohem
|
https://paperswithcode.com/paper/training-region-based-object-detectors-with
|
Training Region-based Object Detectors with Online Hard Example Mining
|
1604.03540
|
caffe2
|
β Unofficial
|
π On GitHub
|
https://github.com/snntorch/Spiking-Neural-Networks-Tutorials
|
https://paperswithcode.com/paper/training-spiking-neural-networks-using-1
|
Training Spiking Neural Networks Using Lessons From Deep Learning
|
2109.12894
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/awsm-research/autotransform-replication
|
https://paperswithcode.com/paper/training-tips-for-the-transformer-model
|
Training Tips for the Transformer Model
|
1804.00247
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/jhgan00/image-retrieval-transformers
|
https://paperswithcode.com/paper/training-vision-transformers-for-image
|
Training Vision Transformers for Image Retrieval
|
2102.05644
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/uds-lsv/Training-a-Neural-Network-in-a-Low-Resource-Setting-on-Automatically-Annotated-Noisy-Data
|
https://paperswithcode.com/paper/training-a-neural-network-in-a-low-resource
|
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data
|
1807.00745
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/stevenygd/WAGE.pytorch
|
https://paperswithcode.com/paper/training-and-inference-with-integers-in-deep
|
Training and Inference with Integers in Deep Neural Networks
|
1802.04680
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/pmeletis/IV2018-hierarchical-semantic-segmentation-for-heterogeneous-datasets
|
https://paperswithcode.com/paper/training-of-convolutional-networks-on
|
Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation
|
1803.05675
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/mahima672000/Brain-MRI-Segmentation
|
https://paperswithcode.com/paper/training-of-a-skull-stripping-neural-network
|
Training of a Skull-Stripping Neural Network with efficient data augmentation
|
1810.10853
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/anshul-garg2299/SLAMPaperImplementation
|
https://paperswithcode.com/paper/training-recurrent-networks-to-generate-1
|
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
|
1609.09059
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/kousw/experimental-consistory
|
https://paperswithcode.com/paper/training-free-consistent-text-to-image
|
Training-Free Consistent Text-to-Image Generation
|
2402.03286
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/decemberzhou/TF_TAS
|
https://paperswithcode.com/paper/training-free-transformer-architecture-search
|
Training-free Transformer Architecture Search
|
2203.12217
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/bbartoldson/TBA
|
https://paperswithcode.com/paper/trajectory-balance-with-asynchrony-decoupling
|
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
|
2503.18929
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/YiZhou-H/Trajectory-Mamba-CVPR
|
https://paperswithcode.com/paper/trajectory-mamba-efficient-attention-mamba
|
Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM
|
2503.10898
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/kalebbennaveed/Trajectory-Planning-for-Autonomous-Vehicles-Using-HRL
|
https://paperswithcode.com/paper/trajectory-planning-for-autonomous-vehicles
|
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
|
2011.04752
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/stephen2526/structure-informed_plm
|
https://paperswithcode.com/paper/tranception-protein-fitness-prediction-with
|
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
|
2205.13760
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/yingernnn/transclawunet
|
https://paperswithcode.com/paper/transclaw-u-net-claw-u-net-with-transformers
|
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation
|
2107.05188
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/ZLHe0/TransFusion
|
https://paperswithcode.com/paper/transfusion-covariate-shift-robust-transfer
|
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
|
2404.01153
|
none
|
β Unofficial
|
β No Mention
|
https://github.com/romankoshkin/transllama
|
https://paperswithcode.com/paper/transllama-llm-based-simultaneous-translation
|
TransLLaMa: LLM-based Simultaneous Translation System
|
2402.04636
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/yawen-d/transnasbench
|
https://paperswithcode.com/paper/transnas-bench-101-improving-transferability
|
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
|
2105.11871
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/soCzech/MasterThesis
|
https://paperswithcode.com/paper/transnet-v2-an-effective-deep-network
|
TransNet V2: An effective deep network architecture for fast shot transition detection
|
2008.04838
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/debeshjha/transnetr
|
https://paperswithcode.com/paper/transnetr-transformer-based-residual-network
|
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
|
2303.07428
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/rosecatherinek/TransNets
|
https://paperswithcode.com/paper/transnets-learning-to-transform-for
|
TransNets: Learning to Transform for Recommendation
|
1704.02298
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/nku-shengzheliu/Pytorch-TransVG
|
https://paperswithcode.com/paper/transvg-end-to-end-visual-grounding-with
|
TransVG: End-to-End Visual Grounding with Transformers
|
2104.08541
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/s2labres/transcendent-release
|
https://paperswithcode.com/paper/transcending-transcend-revisiting-malware
|
Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift
|
2010.03856
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/WojciechMula/pictures
|
https://paperswithcode.com/paper/transcoding-billions-of-unicode-characters
|
Transcoding Billions of Unicode Characters per Second with SIMD Instructions
|
2109.10433
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/cai-jianfeng/glossification_editing_programs
|
https://paperswithcode.com/paper/transcribing-natural-languages-for-the-deaf
|
Transcribing Natural Languages for The Deaf via Neural Editing Programs
|
2112.09600
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/maxschaefer-fau/tfm-laminarflow
|
https://paperswithcode.com/paper/transfer-function-models-for-cylindrical-mc
|
Transfer Function Models for Cylindrical MC Channels with Diffusion and Laminar Flow
|
2007.01799
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/nu-cucis/sinet
|
https://paperswithcode.com/paper/transfer-learning-using-ensemble-neural-nets
|
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening
|
1903.03178
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/ShubhayanS/Multiclass-Diabetic-Retinopathy-Detection
|
https://paperswithcode.com/paper/transfer-learning-based-detection-of-diabetic
|
Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset
|
1905.07203
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/saili0103/TransLasso
|
https://paperswithcode.com/paper/transfer-learning-for-high-dimensional-linear
|
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
|
2006.10593
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/MathiasStensrud/capstone-2
|
https://paperswithcode.com/paper/transfer-learning-for-illustration
|
Transfer Learning for Illustration Classification
|
1806.02682
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/drwuHUST/TLBCI
|
https://paperswithcode.com/paper/transfer-learning-for-brain-computer-1
|
Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline
|
2007.03746
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/kushthedude/Poverty-Predictor
|
https://paperswithcode.com/paper/transfer-learning-from-deep-features-for
|
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
|
1510.00098
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/mmwebster/variable-transfer-genre
|
https://paperswithcode.com/paper/transfer-learning-of-artist-group-factors-to
|
Transfer Learning of Artist Group Factors to Musical Genre Classification
|
1805.02043
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jugaloza/Road_Damage_Detection_Using_YOLOV3
|
https://paperswithcode.com/paper/transfer-learning-based-road-damage-detection
|
Transfer Learning-based Road Damage Detection for Multiple Countries
|
2008.13101
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/LiangSiyuan21/Adversarial-Attacks-for-Image-and-Video-Object-Detection/tree/master/img_attack_with_attention
|
https://paperswithcode.com/paper/transferable-adversarial-attacks-for-image
|
Transferable Adversarial Attacks for Image and Video Object Detection
|
1811.12641
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/renjie3/TUE
|
https://paperswithcode.com/paper/transferable-unlearnable-examples
|
Transferable Unlearnable Examples
|
2210.10114
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/amzn/metalearn-leap
|
https://paperswithcode.com/paper/transferring-knowledge-across-learning
|
Transferring Knowledge across Learning Processes
|
1812.01054
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/silverbottlep/tvsn
|
https://paperswithcode.com/paper/transformation-grounded-image-generation
|
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
|
1703.02921
|
torch
|
β Unofficial
|
β No Mention
|
https://github.com/poloclub/transformer-explainer
|
https://paperswithcode.com/paper/transformer-explainer-interactive-learning-of
|
Transformer Explainer: Interactive Learning of Text-Generative Models
|
2408.04619
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/ArvinZhuang/DSI-transformers
|
https://paperswithcode.com/paper/transformer-memory-as-a-differentiable-search
|
Transformer Memory as a Differentiable Search Index
|
2202.06991
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/zhuiyitechnology/gau-alpha
|
https://paperswithcode.com/paper/transformer-quality-in-linear-time
|
Transformer Quality in Linear Time
|
2202.10447
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/as-ideas/deepphonemizer
|
https://paperswithcode.com/paper/transformer-based-grapheme-to-phoneme-1
|
Transformer based Grapheme-to-Phoneme Conversion
|
2004.06338
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/cgraywang/transformer-on-diet
|
https://paperswithcode.com/paper/transformer-on-a-diet
|
Transformer on a Diet
|
2002.06170
|
mxnet
|
β Unofficial
|
π On GitHub
|
https://github.com/EriCongMa/awesome-transformer-ocr
|
https://paperswithcode.com/paper/transformer-based-htr-for-historical
|
Transformer-based HTR for Historical Documents
|
2203.11008
|
paddle
|
β Unofficial
|
π On GitHub
|
https://github.com/yudhik11/MER-lyrics-Transformer
|
https://paperswithcode.com/paper/transformer-based-approach-towards-music
|
Transformer-based approach towards music emotion recognition from lyrics
|
2101.02051
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/aljazbozic/transformerfusion
|
https://paperswithcode.com/paper/transformerfusion-monocular-rgb-scene
|
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
|
2107.02191
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/LeonardoBerti07/TransLOB---Transformers-for-limit-order-books-
|
https://paperswithcode.com/paper/transformers-for-limit-order-books
|
Transformers for Limit Order Books
|
2003.00130
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/LUOyk1999/DAGformer
|
https://paperswithcode.com/paper/transformers-over-directed-acyclic-graphs-1
|
Transformers over Directed Acyclic Graphs
|
2210.13148
|
pytorch
|
β Unofficial
|
β No Mention
|
https://github.com/emorynlp/friendsqa
|
https://paperswithcode.com/paper/transformers-to-learn-hierarchical-contexts
|
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
|
2004.03561
|
pytorch
|
β Unofficial
|
π In Paper
|
https://github.com/yynil/rwkvinllama
|
https://paperswithcode.com/paper/transformers-to-ssms-distilling-quadratic
|
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
|
2408.10189
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/insop/pytorch-hackathon
|
https://paperswithcode.com/paper/transformers-with-convolutional-context-for
|
Transformers with convolutional context for ASR
|
1904.11660
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jiachenzhu/DyT
|
https://paperswithcode.com/paper/transformers-without-normalization
|
Transformers without Normalization
|
2503.10622
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jmaronas/TGP.pytorch
|
https://paperswithcode.com/paper/transforming-gaussian-processes-with
|
Transforming Gaussian Processes With Normalizing Flows
|
2011.01596
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/kelvinguu/qanli
|
https://paperswithcode.com/paper/transforming-question-answering-datasets-into
|
Transforming Question Answering Datasets Into Natural Language Inference Datasets
|
1809.02922
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/PasqualeZingo/TransfusionReproducibilityChallenge
|
https://paperswithcode.com/paper/transfusion-understanding-transfer-learning
|
Transfusion: Understanding Transfer Learning for Medical Imaging
|
1902.07208
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/jbesty/PINNs_transient_stability_analysis
|
https://paperswithcode.com/paper/transient-stability-analysis-with-physics
|
Transient Stability Analysis with Physics-Informed Neural Networks
|
2106.13638
|
tf
|
β Unofficial
|
π On GitHub
|
https://github.com/alexteachey/MoonPy
|
https://paperswithcode.com/paper/160601744
|
Transit Timing Observations from Kepler. IX. Catalog of the Full Long-Cadence Data Set
|
1606.01744
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ryuikaneko/lindblad_gutzwiller
|
https://paperswithcode.com/paper/transition-between-vacuum-and-finite-density
|
Transition between vacuum and finite-density states in the infinite-dimensional Bose-Hubbard model with spatially inhomogeneous dissipation
|
2111.13388
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/elikip/htparser
|
https://paperswithcode.com/paper/transition-based-dependency-parsing-with-2
|
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
|
1505.08075
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/MindSpore-scientific-2/code-3/tree/main/translating-math-formula-images
|
https://paperswithcode.com/paper/translating-images-to-road-network-a-non-1
|
Translating Images to Road Network: A Sequence-to-Sequence Perspective
|
2402.08207
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/SumbeeLei/Math_EN
|
https://paperswithcode.com/paper/translating-a-math-word-problem-to-an
|
Translating a Math Word Problem to an Expression Tree
|
1811.05632
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/JanakiSheth/Translating-neural-signals-to-speech-using-a-BMI
|
https://paperswithcode.com/paper/translating-neural-signals-to-text-using-a
|
Translating neural signals to text using a Brain-Machine Interface
|
1907.04265
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/MindSpore-scientific/code-13/tree/main/Translation-Invariant/model
|
https://paperswithcode.com/paper/translation-consistent-semi-supervised
|
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
|
2203.14523
|
mindspore
|
β Unofficial
|
β No Mention
|
https://github.com/YifanZhou95/Translation-based-Recommendation
|
https://paperswithcode.com/paper/translation-based-recommendation
|
Translation-based Recommendation
|
1707.02410
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/enweg/tca-replication-material
|
https://paperswithcode.com/paper/transmission-channel-analysis-in-dynamic
|
Transmission Channel Analysis in Dynamic Models
|
2405.18987
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/guyzis/QuantumChaos
|
https://paperswithcode.com/paper/transport-in-stark-many-body-localized
|
Transport in Stark Many Body Localized Systems
|
2109.06196
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ansell/utm2wgs
|
https://paperswithcode.com/paper/transverse-mercator-with-an-accuracy-of-a-few
|
Transverse Mercator with an accuracy of a few nanometers
|
1002.1417
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/rafael-a-monteiro-math/Transverse-bifurcation-of-viscous-slow-MHD-shocks
|
https://paperswithcode.com/paper/transverse-bifurcation-of-viscous-slow-mhd
|
Transverse bifurcation of viscous slow MHD shocks
|
1901.09153
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/Rudertier/RootCanvasCreator
|
https://paperswithcode.com/paper/transverse-momentum-spectra-and-nuclear
|
Transverse momentum spectra and nuclear modification factors of charged particles in Xe-Xe collisions at $\sqrt{s_{\rm NN}}$ = 5.44 TeV
|
1805.04399
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/eugeniaft/embeddia-hackathon
|
https://paperswithcode.com/paper/trawling-for-trolling-a-dataset
|
Trawling for Trolling: A Dataset
|
2008.00525
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/gtolomei/treant
|
https://paperswithcode.com/paper/treant-training-evasion-aware-decision-trees
|
Treant: Training Evasion-Aware Decision Trees
|
1907.01197
|
none
|
β Unofficial
|
π On GitHub
|
https://github.com/ahasan-haque/TMO-RAFT
|
https://paperswithcode.com/paper/treating-motion-as-option-to-reduce-motion
|
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
|
2209.03138
|
pytorch
|
β Unofficial
|
π On GitHub
|
https://github.com/lakerwsl/WUNT
|
https://paperswithcode.com/paper/covariate-balancing-by-uniform-transformer
|
Treatment Effects Estimation by Uniform Transformer
|
2008.03738
|
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.