Datasets:
pwc-archive
/
links-between-paper-and-code

Dataset card Data Studio Files
xet
Community
1
paper_url
stringlengths
36
81
paper_title
stringlengths
1
242
⌀
paper_arxiv_id
stringlengths
9
16
⌀
paper_url_abs
stringlengths
18
314
paper_url_pdf
stringlengths
21
935
⌀
repo_url
stringlengths
26
200
is_official
bool
2 classes
mentioned_in_paper
bool
2 classes
mentioned_in_github
bool
2 classes
framework
stringclasses
9 values
https://paperswithcode.com/paper/east-an-efficient-and-accurate-scene-text
EAST: An Efficient and Accurate Scene Text Detector
1704.03155
http://arxiv.org/abs/1704.03155v2
http://arxiv.org/pdf/1704.03155v2.pdf
https://github.com/Mind23-2/MindCode-35
false
false
true
mindspore
https://paperswithcode.com/paper/layer-ensembles
Layer Ensembles
2210.04882
https://arxiv.org/abs/2210.04882v3
https://arxiv.org/pdf/2210.04882v3.pdf
https://github.com/iliiliiliili/layer-ensembles-pytorch
true
false
true
pytorch
https://paperswithcode.com/paper/mobilenetv2-inverted-residuals-and-linear
MobileNetV2: Inverted Residuals and Linear Bottlenecks
1801.04381
http://arxiv.org/abs/1801.04381v4
http://arxiv.org/pdf/1801.04381v4.pdf
https://github.com/yangyucheng000/mobilenet_v2/blob/main/mobilenet_v2.py
false
false
false
mindspore
https://paperswithcode.com/paper/collection-and-validation-of
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
2011.00958
https://arxiv.org/abs/2011.00958v2
https://arxiv.org/pdf/2011.00958v2.pdf
https://github.com/asmerdov/DataCollectionSystem
false
false
true
pytorch
https://paperswithcode.com/paper/exploring-and-measuring-non-linear
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering
1610.09659
http://arxiv.org/abs/1610.09659v1
http://arxiv.org/pdf/1610.09659v1.pdf
https://github.com/subhobrata/Courses_ML_DL3
false
false
true
pytorch
https://paperswithcode.com/paper/attrimeter-an-attribute-guided-metric
Explainable Person Re-Identification with Attribute-guided Metric Distillation
2103.01451
https://arxiv.org/abs/2103.01451v2
https://arxiv.org/pdf/2103.01451v2.pdf
https://github.com/SheldongChen/AMD.github.io
true
false
false
pytorch
https://paperswithcode.com/paper/robust-fingerprinting-of-genomic-databases
Robust Fingerprinting of Genomic Databases
2204.01801
https://arxiv.org/abs/2204.01801v1
https://arxiv.org/pdf/2204.01801v1.pdf
https://github.com/xiutianxi/robust-genomic-fp-github
true
true
false
none
https://paperswithcode.com/paper/i-spasp-structured-neural-pruning-via-sparse
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
2112.04905
https://arxiv.org/abs/2112.04905v2
https://arxiv.org/pdf/2112.04905v2.pdf
https://github.com/wolfecameron/i-spasp
true
true
true
pytorch
https://paperswithcode.com/paper/tfrd-a-benchmark-dataset-for-research-on
A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems
2108.08298
https://arxiv.org/abs/2108.08298v5
https://arxiv.org/pdf/2108.08298v5.pdf
https://github.com/shendu-sw/tfr-hss-benchmark
true
true
true
pytorch
https://paperswithcode.com/paper/towards-positive-jacobian-learn-to
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential
2202.00749
https://arxiv.org/abs/2202.00749v1
https://arxiv.org/pdf/2202.00749v1.pdf
https://github.com/soumyadeep-pal/diffeomorphic-image-registration-postprocess
true
true
true
pytorch
https://paperswithcode.com/paper/godsac-graph-optimized-dsac-for-robot
GODSAC*: Graph Optimized DSAC* for Robot Relocalization
2105.00546
https://arxiv.org/abs/2105.00546v2
https://arxiv.org/pdf/2105.00546v2.pdf
https://github.com/alphonsusadubredu/godsacstar
true
true
true
pytorch
https://paperswithcode.com/paper/mtg-a-benchmarking-suite-for-multilingual
MTG: A Benchmark Suite for Multilingual Text Generation
2108.07140
https://arxiv.org/abs/2108.07140v2
https://arxiv.org/pdf/2108.07140v2.pdf
https://github.com/zide05/mtg
true
true
false
none
https://paperswithcode.com/paper/resnet-strikes-back-an-improved-training
ResNet strikes back: An improved training procedure in timm
2110.00476
https://arxiv.org/abs/2110.00476v1
https://arxiv.org/pdf/2110.00476v1.pdf
https://github.com/shinya7y/UniverseNet
false
false
true
pytorch
https://paperswithcode.com/paper/rezone-disarming-trustzone-with-tee-privilege
ReZone: Disarming TrustZone with TEE Privilege Reduction
2203.01025
https://arxiv.org/abs/2203.01025v1
https://arxiv.org/pdf/2203.01025v1.pdf
https://gitlab.com/esrgv3/rezone
true
true
false
none
https://paperswithcode.com/paper/polarization-adjusted-convolutional-pac-codes
PAC Codes: Sequential Decoding vs List Decoding
2002.06805
https://arxiv.org/abs/2002.06805v3
https://arxiv.org/pdf/2002.06805v3.pdf
https://github.com/mohammad-rowshan/List-Decoding-for-Polar-and-PAC-Codes
true
false
false
none
https://paperswithcode.com/paper/wastewater-catchment-areas-in-great-britain
Wastewater catchment areas in Great Britain
null
https://www.essoar.org/doi/10.1002/essoar.10510612.2
https://www.essoar.org/pdfjs/10.1002/essoar.10510612.2
https://github.com/tillahoffmann/wastewater-catchment-areas
false
false
false
none
https://paperswithcode.com/paper/motion-based-post-processing-using-kalman
Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater Vehicles
2301.01482
https://arxiv.org/abs/2301.01482v5
https://arxiv.org/pdf/2301.01482v5.pdf
https://github.com/liyunfenglyf/uostrack
true
true
false
pytorch
https://paperswithcode.com/paper/partial-attribution-instance-segmentation-for
Partial-Attribution Instance Segmentation for Astronomical Source Detection and Deblending
2201.04714
https://arxiv.org/abs/2201.04714v1
https://arxiv.org/pdf/2201.04714v1.pdf
https://github.com/ryanhausen/morpheus-deblend
true
true
false
tf
https://paperswithcode.com/paper/a-penalised-piecewise-linear-model-for-non
A penalised piecewise-linear model for non-stationary extreme value analysis of peaks over threshold
2201.03915
https://arxiv.org/abs/2201.03915v1
https://arxiv.org/pdf/2201.03915v1.pdf
https://github.com/edmackay/ppl-model
true
true
false
none
https://paperswithcode.com/paper/fully-adaptive-bayesian-algorithm-for-data
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADA
2201.05145
https://arxiv.org/abs/2201.05145v2
https://arxiv.org/pdf/2201.05145v2.pdf
https://github.com/pablomsanala/fabada
true
true
true
none
https://paperswithcode.com/paper/causalimages-an-r-package-for-causal
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images
2310.00233
https://arxiv.org/abs/2310.00233v3
https://arxiv.org/pdf/2310.00233v3.pdf
https://github.com/AIandGlobalDevelopmentLab/causalimages-software
true
true
true
tf
https://paperswithcode.com/paper/computer-vision-tool-for-detection-mapping
Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos
2106.07314
https://arxiv.org/abs/2106.07314v1
https://arxiv.org/pdf/2106.07314v1.pdf
https://github.com/lukasbommes/pv-hawk
false
false
true
none
https://paperswithcode.com/paper/inducing-structure-in-reward-learning-by
Inducing Structure in Reward Learning by Learning Features
2201.07082
https://arxiv.org/abs/2201.07082v1
https://arxiv.org/pdf/2201.07082v1.pdf
https://github.com/andreea7b/FERL
true
true
false
pytorch
https://paperswithcode.com/paper/bailando-3d-dance-generation-by-actor-critic
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
2203.13055
https://arxiv.org/abs/2203.13055v2
https://arxiv.org/pdf/2203.13055v2.pdf
https://github.com/lisiyao21/bailando
true
true
true
pytorch
https://paperswithcode.com/paper/190600091
Deep Learning Recommendation Model for Personalization and Recommendation Systems
1906.00091
https://arxiv.org/abs/1906.00091v1
https://arxiv.org/pdf/1906.00091v1.pdf
https://github.com/samiwilf/dlrm_from_shz0116
false
false
true
pytorch
https://paperswithcode.com/paper/compositional-embeddings-using-complementary
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems
1909.02107
https://arxiv.org/abs/1909.02107v2
https://arxiv.org/pdf/1909.02107v2.pdf
https://github.com/samiwilf/dlrm_from_shz0116
false
false
true
pytorch
https://paperswithcode.com/paper/the-architectural-implications-of-facebooks
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
1906.03109
https://arxiv.org/abs/1906.03109v4
https://arxiv.org/pdf/1906.03109v4.pdf
https://github.com/samiwilf/dlrm_from_shz0116
false
false
true
pytorch
https://paperswithcode.com/paper/generative-image-dynamics
Generative Image Dynamics
2309.07906
https://arxiv.org/abs/2309.07906v3
https://arxiv.org/pdf/2309.07906v3.pdf
https://github.com/fltwr/generative-image-dynamics
false
false
false
pytorch
https://paperswithcode.com/paper/mixed-dimension-embeddings-with-application
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems
1909.11810
https://arxiv.org/abs/1909.11810v3
https://arxiv.org/pdf/1909.11810v3.pdf
https://github.com/samiwilf/dlrm_from_shz0116
false
false
true
pytorch
https://paperswithcode.com/paper/visual-identification-of-problematic-bias-in
Visual Identification of Problematic Bias in Large Label Spaces
2201.06386
https://arxiv.org/abs/2201.06386v1
https://arxiv.org/pdf/2201.06386v1.pdf
https://github.com/tensorflow/tensorboard
true
true
false
tf
https://paperswithcode.com/paper/an-adaptive-stochastic-gradient-free-approach
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization
2006.10887
https://arxiv.org/abs/2006.10887v2
https://arxiv.org/pdf/2006.10887v2.pdf
https://github.com/joedaws/asgf
true
true
true
pytorch
https://paperswithcode.com/paper/infty-former-infinite-memory-transformer
$\infty$-former: Infinite Memory Transformer
2109.00301
https://arxiv.org/abs/2109.00301v3
https://arxiv.org/pdf/2109.00301v3.pdf
https://github.com/deep-spin/infinite-former
true
true
false
jax
https://paperswithcode.com/paper/findview-precise-target-view-localization
FindView: Precise Target View Localization Task for Look Around Agents
2303.09054
https://arxiv.org/abs/2303.09054v1
https://arxiv.org/pdf/2303.09054v1.pdf
https://github.com/haruishi43/look_around
true
true
true
none
https://paperswithcode.com/paper/safety-and-liveness-guarantees-through-reach
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
2112.12288
https://arxiv.org/abs/2112.12288v1
https://arxiv.org/pdf/2112.12288v1.pdf
https://github.com/saferoboticslab/safety_rl
true
true
true
pytorch
https://paperswithcode.com/paper/nfft-jl-generic-and-fast-julia-implementation
NFFT.jl: Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform
2208.00049
https://arxiv.org/abs/2208.00049v2
https://arxiv.org/pdf/2208.00049v2.pdf
https://github.com/tknopp/NFFT.jl
false
false
true
none
https://paperswithcode.com/paper/monte-carlo-simulation-of-sdes-using-gans
Monte Carlo Simulation of SDEs using GANs
2104.01437
https://arxiv.org/abs/2104.01437v1
https://arxiv.org/pdf/2104.01437v1.pdf
https://github.com/JorinovanRhijn/master-thesis-gans-for-sdes
false
false
true
pytorch
https://paperswithcode.com/paper/instructiongpt-4-a-200-instruction-paradigm
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4
2308.12067
https://arxiv.org/abs/2308.12067v2
https://arxiv.org/pdf/2308.12067v2.pdf
https://huggingface.co/datasets/WaltonFuture/InstructionGPT-4
false
false
false
none
https://paperswithcode.com/paper/patches-are-all-you-need-1
Patches Are All You Need?
2201.09792
https://arxiv.org/abs/2201.09792v1
https://arxiv.org/pdf/2201.09792v1.pdf
https://github.com/locuslab/convmixer
true
true
false
pytorch
https://paperswithcode.com/paper/partition-based-formulations-for-mixed
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks
2102.04373
https://arxiv.org/abs/2102.04373v2
https://arxiv.org/pdf/2102.04373v2.pdf
https://github.com/cog-imperial/partitionedformulations_nn
true
true
true
none
https://paperswithcode.com/paper/image-features-of-a-splashing-drop-on-a-solid
Image features of a splashing drop on a solid surface extracted using a feedforward neural network
2201.09541
https://arxiv.org/abs/2201.09541v1
https://arxiv.org/pdf/2201.09541v1.pdf
https://github.com/yeejingzutuat/image-features-of-a-splashing-drop-on-a-solid-surface-extracted-using-a-feedforward-neural-network
true
true
false
none
https://paperswithcode.com/paper/p-generalized-probit-regression-and-scalable
$p$-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
2203.13568
https://arxiv.org/abs/2203.13568v1
https://arxiv.org/pdf/2203.13568v1.pdf
https://github.com/cxan96/efficient-probit-regression
true
true
false
none
https://paperswithcode.com/paper/generative-de-novo-protein-design-with-global
Generative De Novo Protein Design with Global Context
2204.10673
https://arxiv.org/abs/2204.10673v2
https://arxiv.org/pdf/2204.10673v2.pdf
https://github.com/chengtan9907/gca-generative-protein-design
true
true
false
pytorch
https://paperswithcode.com/paper/geom-gcn-geometric-graph-convolutional-1
Geom-GCN: Geometric Graph Convolutional Networks
2002.05287
https://arxiv.org/abs/2002.05287v2
https://arxiv.org/pdf/2002.05287v2.pdf
https://github.com/KAIDI3270/Geom_GCN_pytorch_implementation
false
false
true
pytorch
https://paperswithcode.com/paper/maml-is-a-noisy-contrastive-learner
MAML is a Noisy Contrastive Learner in Classification
2106.15367
https://arxiv.org/abs/2106.15367v4
https://arxiv.org/pdf/2106.15367v4.pdf
https://github.com/iandrover/maml_noisy_contrasive_learner
false
true
true
pytorch
https://paperswithcode.com/paper/reflexive-tactics-for-algebra-revisited
Reflexive tactics for algebra, revisited
2202.04330
https://arxiv.org/abs/2202.04330v1
https://arxiv.org/pdf/2202.04330v1.pdf
https://github.com/math-comp/algebra-tactics
true
true
true
none
https://paperswithcode.com/paper/mr-estimator-a-toolbox-to-determine-intrinsic
MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity
2007.03367
https://arxiv.org/abs/2007.03367v2
https://arxiv.org/pdf/2007.03367v2.pdf
https://github.com/Priesemann-Group/mrestimator
true
true
true
none
https://paperswithcode.com/paper/a-neural-algorithm-of-artistic-style
A Neural Algorithm of Artistic Style
1508.06576
http://arxiv.org/abs/1508.06576v2
http://arxiv.org/pdf/1508.06576v2.pdf
https://github.com/julianbel/itba-dl-neural-style-transfer
false
false
true
tf
https://paperswithcode.com/paper/real-time-unified-trajectory-planning-and
Real-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving Under Static and Dynamic Obstacle Constraints
2209.09320
https://arxiv.org/abs/2209.09320v1
https://arxiv.org/pdf/2209.09320v1.pdf
https://github.com/watonomous/control
true
true
false
none
https://paperswithcode.com/paper/txtract-taxonomy-aware-knowledge-extraction
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
2004.13852
https://arxiv.org/abs/2004.13852v2
https://arxiv.org/pdf/2004.13852v2.pdf
https://github.com/huangJC0429/TXtract
false
false
true
pytorch
https://paperswithcode.com/paper/a-general-framework-for-the-rigorous
A general framework for the rigorous computation of invariant densities and the coarse-fine strategy
2212.05017
https://arxiv.org/abs/2212.05017v2
https://arxiv.org/pdf/2212.05017v2.pdf
https://github.com/juliadynamics/rigorousinvariantmeasures.jl
true
true
false
none
https://paperswithcode.com/paper/improving-factuality-and-reasoning-in
Improving Factuality and Reasoning in Language Models through Multiagent Debate
2305.14325
https://arxiv.org/abs/2305.14325v1
https://arxiv.org/pdf/2305.14325v1.pdf
https://github.com/composable-models/llm_multiagent_debate
true
false
true
none
https://paperswithcode.com/paper/egcn-an-ensemble-based-learning-framework-for
EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
null
https://www.ijcai.org/proceedings/2022/511
https://www.ijcai.org/proceedings/2022/0511.pdf
https://github.com/bruceyo/EGCN
false
true
false
pytorch
https://paperswithcode.com/paper/simple-pose-rethinking-and-improving-a-bottom
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
1911.10529
https://arxiv.org/abs/1911.10529v1
https://arxiv.org/pdf/1911.10529v1.pdf
https://github.com/hellojialee/Multi-Person-Pose-using-Body-Parts
false
false
false
tf
https://paperswithcode.com/paper/measuring-the-contribution-of-multiple-model
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
2111.07035
https://arxiv.org/abs/2111.07035v2
https://arxiv.org/pdf/2111.07035v2.pdf
https://github.com/dstein64/multi-adv-detect
true
true
true
pytorch
https://paperswithcode.com/paper/delaunay-component-analysis-for-evaluation-of-1
Delaunay Component Analysis for Evaluation of Data Representations
2202.06866
https://arxiv.org/abs/2202.06866v1
https://arxiv.org/pdf/2202.06866v1.pdf
https://github.com/petrapoklukar/dca
true
true
false
none
https://paperswithcode.com/paper/motion-planning-for-triple-axis-spectrometers
Motion Planning for Triple-Axis Spectrometers
2303.14041
https://arxiv.org/abs/2303.14041v1
https://arxiv.org/pdf/2303.14041v1.pdf
https://github.com/ILLGrenoble/taspaths
true
true
false
none
https://paperswithcode.com/paper/a-computationally-efficient-approach-to-fully
A Computationally Efficient Approach to Fully Bayesian Benchmarking
2203.12195
https://arxiv.org/abs/2203.12195v2
https://arxiv.org/pdf/2203.12195v2.pdf
https://github.com/taylorokonek/benchmarking-paper-sim
true
true
false
none
https://paperswithcode.com/paper/mobilenetv2-inverted-residuals-and-linear
MobileNetV2: Inverted Residuals and Linear Bottlenecks
1801.04381
http://arxiv.org/abs/1801.04381v4
http://arxiv.org/pdf/1801.04381v4.pdf
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/mobilenetv2
false
false
false
mindspore
https://paperswithcode.com/paper/bed-a-real-time-object-detection-system-for
BED: A Real-Time Object Detection System for Edge Devices
2202.07503
https://arxiv.org/abs/2202.07503v4
https://arxiv.org/pdf/2202.07503v4.pdf
https://github.com/datamllab/bed_camera
true
true
false
none
https://paperswithcode.com/paper/the-touche23-valueeval-dataset-for
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments
2301.13771
https://arxiv.org/abs/2301.13771v1
https://arxiv.org/pdf/2301.13771v1.pdf
https://zenodo.org/record/7550385
true
false
false
none
https://paperswithcode.com/paper/a-comparison-of-modern-general-purpose-visual
A Comparison of Modern General-Purpose Visual SLAM Approaches
2107.07589
https://arxiv.org/abs/2107.07589v2
https://arxiv.org/pdf/2107.07589v2.pdf
https://github.com/ryzhikovas/navigation2
false
false
true
none
https://paperswithcode.com/paper/the-marathon-2-a-navigation-system
The Marathon 2: A Navigation System
2003.00368
https://arxiv.org/abs/2003.00368v2
https://arxiv.org/pdf/2003.00368v2.pdf
https://github.com/ryzhikovas/navigation2
false
false
true
none
https://paperswithcode.com/paper/are-graph-embeddings-the-panacea-an-empirical
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness Perspective
null
https://link.springer.com/chapter/10.1007/978-981-97-2253-2_32
https://link.springer.com/content/pdf/10.1007/978-981-97-2253-2.pdf
https://github.com/PascalSun/PAKDD-2024
false
false
false
pytorch
https://paperswithcode.com/paper/quantifying-the-impact-of-data
Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models
2304.06033
https://arxiv.org/abs/2304.06033v1
https://arxiv.org/pdf/2304.06033v1.pdf
https://github.com/akaraspt/transferability_sleep
true
false
true
none
https://paperswithcode.com/paper/atomec-an-open-source-average-atom-python
atoMEC: An open-source average-atom Python code
2206.01074
https://arxiv.org/abs/2206.01074v2
https://arxiv.org/pdf/2206.01074v2.pdf
https://github.com/atomec-project/atoMEC
true
true
false
none
https://paperswithcode.com/paper/pi-is-back-switching-acquisition-functions-in
PI is back! Switching Acquisition Functions in Bayesian Optimization
2211.01455
https://arxiv.org/abs/2211.01455v1
https://arxiv.org/pdf/2211.01455v1.pdf
https://github.com/automl/pi_is_back
true
true
true
none
https://paperswithcode.com/paper/diffgan-tts-high-fidelity-and-efficient-text
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
2201.11972
https://arxiv.org/abs/2201.11972v1
https://arxiv.org/pdf/2201.11972v1.pdf
https://github.com/keonlee9420/DiffGAN-TTS
false
false
true
pytorch
https://paperswithcode.com/paper/zhichunroad-at-amazon-kdd-cup-2022-multitask
ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search
2301.13455
https://arxiv.org/abs/2301.13455v1
https://arxiv.org/pdf/2301.13455v1.pdf
https://github.com/cuixuage/KDDCup2022-ESCI
true
true
false
pytorch
https://paperswithcode.com/paper/usb-universal-scale-object-detection
USB: Universal-Scale Object Detection Benchmark
2103.14027
https://arxiv.org/abs/2103.14027v3
https://arxiv.org/pdf/2103.14027v3.pdf
https://github.com/shinya7y/UniverseNet
true
true
true
pytorch
https://paperswithcode.com/paper/cooperation-and-the-social-brain-hypothesis
Cooperation and the social brain hypothesis in primate social networks
2302.00075
https://arxiv.org/abs/2302.00075v2
https://arxiv.org/pdf/2302.00075v2.pdf
https://github.com/ngmaclaren/cooperation-threshold
true
true
false
none
https://paperswithcode.com/paper/comparing-the-latent-space-of-generative
Comparing the latent space of generative models
2207.06812
https://arxiv.org/abs/2207.06812v1
https://arxiv.org/pdf/2207.06812v1.pdf
https://github.com/asperti/We_love_latent_space
true
false
true
tf
https://paperswithcode.com/paper/pylot-a-modular-platform-for-exploring-1
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles
null
https://www.ionelgog.org/data/papers/2021-icra-pylot.pdf
https://www.ionelgog.org/data/papers/2021-icra-pylot.pdf
https://github.com/erdos-project/pylot
false
true
false
none
https://paperswithcode.com/paper/llt-an-r-package-for-linear-law-based-feature
LLT: An R package for Linear Law-based Feature Space Transformation
2304.14211
https://arxiv.org/abs/2304.14211v2
https://arxiv.org/pdf/2304.14211v2.pdf
https://github.com/mtkurbucz/llt
true
true
false
none
https://paperswithcode.com/paper/layer-grafted-pre-training-bridging
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
2302.14138
https://arxiv.org/abs/2302.14138v1
https://arxiv.org/pdf/2302.14138v1.pdf
https://github.com/vita-group/layergraftedpretraining_iclr23
true
true
false
pytorch
https://paperswithcode.com/paper/testing-platform-independent-quantum-error
Testing platform-independent quantum error mitigation on noisy quantum computers
2210.07194
https://arxiv.org/abs/2210.07194v2
https://arxiv.org/pdf/2210.07194v2.pdf
https://github.com/unitaryfund/research
true
true
false
none
https://paperswithcode.com/paper/adaptive-observation-cost-control-for
Adaptive Observation Cost Control for Variational Quantum Eigensolvers
2502.01704
https://arxiv.org/abs/2502.01704v1
https://arxiv.org/pdf/2502.01704v1.pdf
https://github.com/angler-vqe/subscore
true
true
false
pytorch
https://paperswithcode.com/paper/how-to-compose-shortest-paths
How to Compose Shortest Paths
2205.15306
https://arxiv.org/abs/2205.15306v2
https://arxiv.org/pdf/2205.15306v2.pdf
https://github.com/jademaster/pathcomposer
true
true
true
none
https://paperswithcode.com/paper/deep-learning-for-symbolic-mathematics-1
Deep Learning for Symbolic Mathematics
1912.01412
https://arxiv.org/abs/1912.01412v1
https://arxiv.org/pdf/1912.01412v1.pdf
https://github.com/wellecks/symbolic_generalization
false
false
true
pytorch
https://paperswithcode.com/paper/a-visual-analytics-approach-for-hardware
A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis
2011.13079
https://arxiv.org/abs/2011.13079v3
https://arxiv.org/pdf/2011.13079v3.pdf
https://github.com/sshilpika/streaming-ms-plot
true
true
false
none
https://paperswithcode.com/paper/argo-scholar-interactive-visual-exploration
Argo Scholar: Interactive Visual Exploration of Literature in Browsers
2110.14060
https://arxiv.org/abs/2110.14060v1
https://arxiv.org/pdf/2110.14060v1.pdf
https://github.com/poloclub/argo-scholar
true
true
true
none
https://paperswithcode.com/paper/any-variational-autoencoder-can-do-arbitrary
Posterior Matching for Arbitrary Conditioning
2201.12414
https://arxiv.org/abs/2201.12414v4
https://arxiv.org/pdf/2201.12414v4.pdf
https://github.com/lupalab/posterior-matching
true
true
true
jax
https://paperswithcode.com/paper/end-to-end-security-for-distributed-event
End-to-End Security for Distributed Event-Driven Enclave Applications on Heterogeneous TEEs
2206.01041
https://arxiv.org/abs/2206.01041v6
https://arxiv.org/pdf/2206.01041v6.pdf
https://github.com/authenticexecution/main
true
true
false
none
https://paperswithcode.com/paper/how-much-does-it-cost-to-train-a-machine
The Cost of Training Machine Learning Models over Distributed Data Sources
2209.07124
https://arxiv.org/abs/2209.07124v2
https://arxiv.org/pdf/2209.07124v2.pdf
https://github.com/eliaguerra/federated_comparison_cttc
true
true
false
tf
https://paperswithcode.com/paper/carnet-a-lightweight-and-efficient-encoder
Rethinking Lightweight Convolutional Neural Networks for Efficient and High-quality Pavement Crack Detection
2109.05707
https://arxiv.org/abs/2109.05707v2
https://arxiv.org/pdf/2109.05707v2.pdf
https://github.com/shiyanrubing/carnet-v1.0
true
true
true
pytorch
https://paperswithcode.com/paper/barlow-twins-self-supervised-learning-via
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
2103.03230
https://arxiv.org/abs/2103.03230v3
https://arxiv.org/pdf/2103.03230v3.pdf
https://github.com/jeffwiroj/robust_tutorial
false
false
true
pytorch
https://paperswithcode.com/paper/context-de-confounded-emotion-recognition
Context De-confounded Emotion Recognition
2303.11921
https://arxiv.org/abs/2303.11921v2
https://arxiv.org/pdf/2303.11921v2.pdf
https://github.com/ydk122024/ccim
true
true
true
pytorch
https://paperswithcode.com/paper/learning-fair-node-representations-with-graph
Learning Fair Node Representations with Graph Counterfactual Fairness
2201.03662
https://arxiv.org/abs/2201.03662v1
https://arxiv.org/pdf/2201.03662v1.pdf
https://github.com/jma712/gear
false
false
true
pytorch
https://paperswithcode.com/paper/inspired2-an-improved-dataset-for-sociable
INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation
2208.04104
https://arxiv.org/abs/2208.04104v2
https://arxiv.org/pdf/2208.04104v2.pdf
https://github.com/ahtsham58/inspired2
true
true
false
none
https://paperswithcode.com/paper/quench-dynamics-in-holographic-first-order
Quench Dynamics in Holographic First-Order Phase Transition
2211.11291
https://arxiv.org/abs/2211.11291v3
https://arxiv.org/pdf/2211.11291v3.pdf
https://github.com/qianchen2022/hfopt
true
true
false
none
https://paperswithcode.com/paper/quantum-agents-in-the-gym-a-variational
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
2103.15084
https://arxiv.org/abs/2103.15084v3
https://arxiv.org/pdf/2103.15084v3.pdf
https://github.com/askolik/quantum_agents
true
true
true
none
https://paperswithcode.com/paper/yolox-exceeding-yolo-series-in-2021
YOLOX: Exceeding YOLO Series in 2021
2107.08430
https://arxiv.org/abs/2107.08430v2
https://arxiv.org/pdf/2107.08430v2.pdf
https://github.com/2023-MindSpore-1/ms-code-31
false
false
true
mindspore
https://paperswithcode.com/paper/c-mixup-improving-generalization-in
C-Mixup: Improving Generalization in Regression
2210.05775
https://arxiv.org/abs/2210.05775v1
https://arxiv.org/pdf/2210.05775v1.pdf
https://github.com/huaxiuyao/c-mixup
true
true
true
pytorch
https://paperswithcode.com/paper/technical-debts-and-faults-in-open-source
Technical Debts and Faults in Open-source Quantum Software Systems: An Empirical Study
2206.00666
https://arxiv.org/abs/2206.00666v1
https://arxiv.org/pdf/2206.00666v1.pdf
https://github.com/openjamoses/jss-replication
true
true
false
tf
https://paperswithcode.com/paper/large-language-models-are-state-of-the-art
Large Language Models Are State-of-the-Art Evaluators of Translation Quality
2302.14520
https://arxiv.org/abs/2302.14520v2
https://arxiv.org/pdf/2302.14520v2.pdf
https://github.com/coldmist-lu/erroranalysis_prompt
false
false
true
none
https://paperswithcode.com/paper/chain-of-thought-prompting-elicits-reasoning
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
2201.11903
https://arxiv.org/abs/2201.11903v6
https://arxiv.org/pdf/2201.11903v6.pdf
https://github.com/coldmist-lu/erroranalysis_prompt
false
false
true
none
https://paperswithcode.com/paper/deep-contextual-clinical-prediction-with
Deep Contextual Clinical Prediction with Reverse Distillation
2007.05611
https://arxiv.org/abs/2007.05611v2
https://arxiv.org/pdf/2007.05611v2.pdf
https://github.com/clinicalml/omop-learn
true
true
true
pytorch
https://paperswithcode.com/paper/toward-human-like-evaluation-for-natural
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
2212.10179
https://arxiv.org/abs/2212.10179v1
https://arxiv.org/pdf/2212.10179v1.pdf
https://github.com/coldmist-lu/erroranalysis_prompt
false
false
true
none
https://paperswithcode.com/paper/communication-aware-drone-delivery-problem
Communication-aware Drone Delivery Problem
2203.05906
https://arxiv.org/abs/2203.05906v1
https://arxiv.org/pdf/2203.05906v1.pdf
https://github.com/cihantugrulcicek/cddp
true
true
false
none
https://paperswithcode.com/paper/contrastive-learning-for-image-registration
Contrastive Learning for Image Registration in Visual Teach and Repeat Navigation
null
https://www.mdpi.com/1424-8220/22/8/2975
https://mdpi-res.com/d_attachment/sensors/sensors-22-02975/article_deploy/sensors-22-02975.pdf?version=1649843771
https://github.com/Zdeeno/Siamese-network-image-alignment
false
true
false
pytorch
https://paperswithcode.com/paper/noppa-non-parametric-pairwise-attention
NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation
2302.12903
https://arxiv.org/abs/2302.12903v1
https://arxiv.org/pdf/2302.12903v1.pdf
https://github.com/jacksonwuxs/noppa
true
true
false
pytorch