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/x-modaler-a-versatile-and-high-performance
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
2108.08217
https://arxiv.org/abs/2108.08217v1
https://arxiv.org/pdf/2108.08217v1.pdf
https://github.com/yehli/xmodaler
true
true
true
pytorch
https://paperswithcode.com/paper/enhancing-cryptoguards-deployability-for
Enhancing CryptoGuards Deployability for Continuous Software Security Scanning
2201.07651
https://arxiv.org/abs/2201.07651v1
https://arxiv.org/pdf/2201.07651v1.pdf
https://github.com/CryptoGuardOSS/cryptoguard
true
true
false
none
https://paperswithcode.com/paper/pixelsnail-an-improved-autoregressive
PixelSNAIL: An Improved Autoregressive Generative Model
1712.09763
http://arxiv.org/abs/1712.09763v1
http://arxiv.org/pdf/1712.09763v1.pdf
https://github.com/neocxi/pixelsnail-public
true
true
false
tf
https://paperswithcode.com/paper/weakly-supervised-fingerspelling-recognition
Weakly-supervised Fingerspelling Recognition in British Sign Language Videos
2211.08954
https://arxiv.org/abs/2211.08954v1
https://arxiv.org/pdf/2211.08954v1.pdf
https://github.com/prajwalkr/transpeller
true
false
false
pytorch
https://paperswithcode.com/paper/a-neural-conversation-generation-model-via
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation
2108.09164
https://arxiv.org/abs/2108.09164v1
https://arxiv.org/pdf/2108.09164v1.pdf
https://github.com/jichangzhen/drmn
true
true
false
tf
https://paperswithcode.com/paper/machine-learning-based-multiscale
Machine learning-based multiscale constitutive modelling: Development and application to dual-porosity mass transfer
2108.08847
https://arxiv.org/abs/2108.08847v1
https://arxiv.org/pdf/2108.08847v1.pdf
https://github.com/mashworth11/ml-mm
true
true
false
none
https://paperswithcode.com/paper/rethinking-coarse-to-fine-approach-in-single
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
2108.05054
https://arxiv.org/abs/2108.05054v2
https://arxiv.org/pdf/2108.05054v2.pdf
https://github.com/chosj95/mimo-unet
true
true
true
pytorch
https://paperswithcode.com/paper/robust-scene-text-recognition-with-automatic
Robust Scene Text Recognition with Automatic Rectification
1603.03915
http://arxiv.org/abs/1603.03915v2
http://arxiv.org/pdf/1603.03915v2.pdf
https://github.com/Media-Smart/vedastr
false
false
true
pytorch
https://paperswithcode.com/paper/an-efficient-2d-method-for-training-super
An Efficient 2D Method for Training Super-Large Deep Learning Models
2104.05343
https://arxiv.org/abs/2104.05343v1
https://arxiv.org/pdf/2104.05343v1.pdf
https://github.com/xuqifan897/Optimus
true
true
true
pytorch
https://paperswithcode.com/paper/a-remote-sensing-image-dataset-for-cloud
A Remote Sensing Image Dataset for Cloud Removal
1901.00600
http://arxiv.org/abs/1901.00600v1
http://arxiv.org/pdf/1901.00600v1.pdf
https://github.com/BUPTLdy/RICE_DATASET
true
true
false
none
https://paperswithcode.com/paper/fitsmap-a-simple-lightweight-tool-for
FitsMap: A Simple, Lightweight Tool For Displaying Interactive Astronomical Image and Catalog Data
2201.12308
https://arxiv.org/abs/2201.12308v1
https://arxiv.org/pdf/2201.12308v1.pdf
https://github.com/ryanhausen/fitsmap
true
true
false
none
https://paperswithcode.com/paper/dynamic-slate-recommendation-with-gated
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
2104.15046
https://arxiv.org/abs/2104.15046v1
https://arxiv.org/pdf/2104.15046v1.pdf
https://github.com/finn-no/recsys_slates_dataset
false
false
true
pytorch
https://paperswithcode.com/paper/models-of-rotating-coronae
Models of rotating coronae
1809.03437
http://arxiv.org/abs/1809.03437v1
http://arxiv.org/pdf/1809.03437v1.pdf
https://github.com/sormani/coropy
true
true
true
none
https://paperswithcode.com/paper/an-artificial-immune-system-for-adaptive-test
An Artificial Immune System for Adaptive Test Selection
null
https://ieeexplore.ieee.org/document/9308528
https://ieeexplore.ieee.org/document/9308528
https://github.com/LagLukas/adaptiveTestSelection
false
false
false
none
https://paperswithcode.com/paper/ensemble-of-heterogeneous-flexible-neural
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming
1705.05592
http://arxiv.org/abs/1705.05592v1
http://arxiv.org/pdf/1705.05592v1.pdf
https://github.com/vojha-code/Neural-Tree-Software
true
false
false
none
https://paperswithcode.com/paper/deep-anomaly-detection-on-attributed-networks
Deep Anomaly Detection on Attributed Networks
null
https://epubs.siam.org/doi/abs/10.1137/1.9781611975673.67
https://www.public.asu.edu/~kding9/pdf/SDM2019_Deep.pdf
https://github.com/pygod-team/pygod
false
false
false
pytorch
https://paperswithcode.com/paper/anomalydae-dual-autoencoder-for-anomaly
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks
2002.03665
https://arxiv.org/abs/2002.03665v2
https://arxiv.org/pdf/2002.03665v2.pdf
https://github.com/pygod-team/pygod
false
false
false
pytorch
https://paperswithcode.com/paper/on-modality-bias-recognition-and-reduction
On Modality Bias Recognition and Reduction
2202.12690
https://arxiv.org/abs/2202.12690v2
https://arxiv.org/pdf/2202.12690v2.pdf
https://github.com/guoyang9/AdaVQA
true
true
false
pytorch
https://paperswithcode.com/paper/comparing-classes-of-estimators-when-does
Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
2108.11872
https://arxiv.org/abs/2108.11872v2
https://arxiv.org/pdf/2108.11872v2.pdf
https://github.com/dominicrichards/comparinggradientdescentridge
true
true
false
none
https://paperswithcode.com/paper/interpretable-click-through-rate-prediction
Interpretable Click-Through Rate Prediction through Hierarchical Attention
null
https://dl.acm.org/doi/10.1145/3336191.3371785
https://dl.acm.org/doi/pdf/10.1145/3336191.3371785
https://github.com/zyli93/InterHAt
false
false
false
tf
https://paperswithcode.com/paper/photospheric-prompt-emission-from-long-gamma-1
Photospheric Prompt Emission From Long Gamma Ray Burst Simulations -- II. Spectropolarimetry
2108.11412
https://arxiv.org/abs/2108.11412v2
https://arxiv.org/pdf/2108.11412v2.pdf
https://github.com/lazzati-astro/MCRaT
true
true
false
none
https://paperswithcode.com/paper/photospheric-prompt-emission-from-long-gamma-1
Photospheric Prompt Emission From Long Gamma Ray Burst Simulations -- II. Spectropolarimetry
2108.11412
https://arxiv.org/abs/2108.11412v2
https://arxiv.org/pdf/2108.11412v2.pdf
https://github.com/parsotat/ProcessMCRaT
true
true
false
none
https://paperswithcode.com/paper/electra-pre-training-text-encoders-as-1
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
2003.10555
https://arxiv.org/abs/2003.10555v1
https://arxiv.org/pdf/2003.10555v1.pdf
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/electra
false
false
false
paddle
https://paperswithcode.com/paper/nonlinear-state-space-identification-using
Nonlinear state-space identification using deep encoder networks
2012.07697
https://arxiv.org/abs/2012.07697v2
https://arxiv.org/pdf/2012.07697v2.pdf
https://github.com/GerbenBeintema/SS-encoder-WH-Silver
true
true
true
pytorch
https://paperswithcode.com/paper/hierarchical-inference-with-bayesian-neural
Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing
2010.13787
https://arxiv.org/abs/2010.13787v3
https://arxiv.org/pdf/2010.13787v3.pdf
https://github.com/swagnercarena/ovejero
true
true
true
tf
https://paperswithcode.com/paper/180309746
Lenstronomy: multi-purpose gravitational lens modelling software package
1803.09746
http://arxiv.org/abs/1803.09746v2
http://arxiv.org/pdf/1803.09746v2.pdf
https://github.com/swagnercarena/ovejero
false
false
true
tf
https://paperswithcode.com/paper/structure-aware-hierarchical-graph-pooling
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
2104.13012
https://arxiv.org/abs/2104.13012v1
https://arxiv.org/pdf/2104.13012v1.pdf
https://github.com/forkkr/HIBPool
true
true
true
pytorch
https://paperswithcode.com/paper/a-functional-skeleton-transfer
A functional skeleton transfer
2108.12041
https://arxiv.org/abs/2108.12041v1
https://arxiv.org/pdf/2108.12041v1.pdf
https://github.com/pietromsn/functional-skeleton-transfer
true
true
false
none
https://paperswithcode.com/paper/baryon-acoustic-oscillations-in-thin-redshift
Baryon acoustic oscillations in thin redshift shells from BOSS DR12 and eBOSS DR16 galaxies
2112.10000
https://arxiv.org/abs/2112.10000v2
https://arxiv.org/pdf/2112.10000v2.pdf
https://github.com/ranier137/angularbao
true
true
false
none
https://paperswithcode.com/paper/metadata-shaping-natural-language-annotations
Metadata Shaping: Natural Language Annotations for the Tail
2110.08430
https://arxiv.org/abs/2110.08430v1
https://arxiv.org/pdf/2110.08430v1.pdf
https://github.com/simran-arora/metadatashaping
false
false
true
pytorch
https://paperswithcode.com/paper/self-distilled-self-supervised-representation
Self-Distilled Self-Supervised Representation Learning
2111.12958
https://arxiv.org/abs/2111.12958v3
https://arxiv.org/pdf/2111.12958v3.pdf
https://github.com/hagiss/sdssl
true
true
false
pytorch
https://paperswithcode.com/paper/an-unsupervised-method-for-building-sentence
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
2109.00165
https://arxiv.org/abs/2109.00165v1
https://arxiv.org/pdf/2109.00165v1.pdf
https://github.com/luxinyu1/trans-ss
true
true
false
pytorch
https://paperswithcode.com/paper/pits-variational-pitch-inference-without
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS
2302.12391
https://arxiv.org/abs/2302.12391v3
https://arxiv.org/pdf/2302.12391v3.pdf
https://github.com/anonymous-pits/pits
true
true
false
pytorch
https://paperswithcode.com/paper/modeling-state-transition-dynamics-in-brain
Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models
2001.08369
https://arxiv.org/abs/2001.08369v3
https://arxiv.org/pdf/2001.08369v3.pdf
https://github.com/tkEzaki/gmm_hmm_comparison
true
true
false
none
https://paperswithcode.com/paper/simplot-a-python-application-for-representing
SimPlot++: a Python application for representing sequence similarity and detecting recombination
2112.09755
https://arxiv.org/abs/2112.09755v2
https://arxiv.org/pdf/2112.09755v2.pdf
https://github.com/stephane-s/simplot_plusplus
true
true
true
none
https://paperswithcode.com/paper/arpist-provably-accurate-and-stable-numerical
ARPIST: Provably Accurate and Stable Numerical Integration over Spherical Triangles
2201.00261
https://arxiv.org/abs/2201.00261v2
https://arxiv.org/pdf/2201.00261v2.pdf
https://github.com/numgeom/arpist
true
true
false
none
https://paperswithcode.com/paper/modality-aware-mutual-learning-for-multi
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
2107.09842
https://arxiv.org/abs/2107.09842v1
https://arxiv.org/pdf/2107.09842v1.pdf
https://github.com/YaoZhang93/MAML
true
true
true
pytorch
https://paperswithcode.com/paper/mask-r-cnn
Mask R-CNN
1703.06870
http://arxiv.org/abs/1703.06870v3
http://arxiv.org/pdf/1703.06870v3.pdf
https://github.com/George-Ogden/Mask-RCNN
false
false
true
pytorch
https://paperswithcode.com/paper/symmetrygan-symmetry-discovery-with-deep
SymmetryGAN: Symmetry Discovery with Deep Learning
2112.05722
https://arxiv.org/abs/2112.05722v2
https://arxiv.org/pdf/2112.05722v2.pdf
https://github.com/hep-lbdl/symmetrydiscovery
true
true
false
tf
https://paperswithcode.com/paper/emerging-jets-displaced-into-the-future
Emerging Jets Displaced into the Future
2112.05690
https://arxiv.org/abs/2112.05690v1
https://arxiv.org/pdf/2112.05690v1.pdf
https://github.com/DLinthorne/LLP-Experiments
true
true
false
none
https://paperswithcode.com/paper/multi-objective-loss-balancing-for-physics
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
2110.09813
https://arxiv.org/abs/2110.09813v2
https://arxiv.org/pdf/2110.09813v2.pdf
https://github.com/rbischof/relative_balancing
true
true
false
tf
https://paperswithcode.com/paper/mask-r-cnn
Mask R-CNN
1703.06870
http://arxiv.org/abs/1703.06870v3
http://arxiv.org/pdf/1703.06870v3.pdf
https://github.com/jasjeetIM/Mask-RCNN
false
false
true
none
https://paperswithcode.com/paper/gtg-shapley-efficient-and-accurate
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
2109.02053
https://arxiv.org/abs/2109.02053v1
https://arxiv.org/pdf/2109.02053v1.pdf
https://github.com/liuzelei13/gtg-shapley
true
true
false
none
https://paperswithcode.com/paper/improving-joint-learning-of-chest-x-ray-and
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
2109.01949
https://arxiv.org/abs/2109.01949v1
https://arxiv.org/pdf/2109.01949v1.pdf
https://github.com/mshaikh2/joimter_mlmi_2021
true
true
false
pytorch
https://paperswithcode.com/paper/pu-flow-a-point-cloud-upsampling-networkwith
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
2107.05893
https://arxiv.org/abs/2107.05893v4
https://arxiv.org/pdf/2107.05893v4.pdf
https://github.com/unknownue/pu-flow
true
true
true
pytorch
https://paperswithcode.com/paper/data-augmentation-for-cross-domain-named
Data Augmentation for Cross-Domain Named Entity Recognition
2109.01758
https://arxiv.org/abs/2109.01758v1
https://arxiv.org/pdf/2109.01758v1.pdf
https://github.com/ritual-uh/style_ner
true
true
false
pytorch
https://paperswithcode.com/paper/recurrent-back-projection-network-for-video
Recurrent Back-Projection Network for Video Super-Resolution
1903.10128
http://arxiv.org/abs/1903.10128v1
http://arxiv.org/pdf/1903.10128v1.pdf
https://github.com/xiuyu0000/new_papers_codes/tree/main/rbpn
false
false
false
mindspore
https://paperswithcode.com/paper/learning-from-the-memory-of-atari-2600
Learning from the memory of Atari 2600
1605.01335
http://arxiv.org/abs/1605.01335v1
http://arxiv.org/pdf/1605.01335v1.pdf
https://github.com/ulstu/ml
false
false
true
none
https://paperswithcode.com/paper/deepdiva-a-highly-functional-python-framework
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments
1805.00329
http://arxiv.org/abs/1805.00329v1
http://arxiv.org/pdf/1805.00329v1.pdf
https://github.com/ajoino/ADL-Jacob-Pedro-Tosin
false
false
true
pytorch
https://paperswithcode.com/paper/federated-learning-with-randomized-douglas
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
2103.03452
https://arxiv.org/abs/2103.03452v3
https://arxiv.org/pdf/2103.03452v3.pdf
https://github.com/unc-optimization/FedDR
true
false
true
pytorch
https://paperswithcode.com/paper/analysis-of-language-change-in-collaborative
Analysis of Language Change in Collaborative Instruction Following
2109.04452
https://arxiv.org/abs/2109.04452v1
https://arxiv.org/pdf/2109.04452v1.pdf
https://github.com/lil-lab/cb-analysis
true
true
false
none
https://paperswithcode.com/paper/preservational-learning-improves-self
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
2109.04379
https://arxiv.org/abs/2109.04379v2
https://arxiv.org/pdf/2109.04379v2.pdf
https://github.com/luchixiang/pcrl
true
true
false
pytorch
https://paperswithcode.com/paper/translating-visual-art-into-music
Translating Visual Art into Music
1909.01218
https://arxiv.org/abs/1909.01218v1
https://arxiv.org/pdf/1909.01218v1.pdf
https://github.com/personads/synvae
true
false
false
tf
https://paperswithcode.com/paper/mine-mutual-information-neural-estimation
MINE: Mutual Information Neural Estimation
1801.04062
https://arxiv.org/abs/1801.04062v5
https://arxiv.org/pdf/1801.04062v5.pdf
https://github.com/personads/synvae
false
false
true
tf
https://paperswithcode.com/paper/distributional-reinforcement-learning-with-1
Distributional Reinforcement Learning with Quantile Regression
1710.10044
http://arxiv.org/abs/1710.10044v1
http://arxiv.org/pdf/1710.10044v1.pdf
https://github.com/DLR-RM/stable-baselines3
false
false
false
pytorch
https://paperswithcode.com/paper/how-powerful-are-graph-neural-networks
How Powerful are Graph Neural Networks?
1810.00826
http://arxiv.org/abs/1810.00826v3
http://arxiv.org/pdf/1810.00826v3.pdf
https://github.com/karolismart/dropgnn
false
false
true
pytorch
https://paperswithcode.com/paper/simple-random-search-provides-a-competitive
Simple random search provides a competitive approach to reinforcement learning
1803.07055
http://arxiv.org/abs/1803.07055v1
http://arxiv.org/pdf/1803.07055v1.pdf
https://github.com/DLR-RM/stable-baselines3
false
false
false
pytorch
https://paperswithcode.com/paper/labeling-free-comparison-testing-of-deep
LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing
2204.03994
https://arxiv.org/abs/2204.03994v2
https://arxiv.org/pdf/2204.03994v2.pdf
https://github.com/testing-cs/laf-model-selection
true
true
true
tf
https://paperswithcode.com/paper/personalisation-in-cyber-physical-social
Personalisation in Cyber-Physical-Social Systems: A Multi-stakeholder aware Recommendation and Guidance
null
https://dl.acm.org/doi/abs/10.1145/3450613.3456847
https://dl.acm.org/doi/pdf/10.1145/3450613.3456847
https://github.com/Bekyilma/Multi-Stakeholder_Recommendation
true
false
false
none
https://paperswithcode.com/paper/conditional-deformable-image-registration
Conditional Deformable Image Registration with Convolutional Neural Network
2106.12673
https://arxiv.org/abs/2106.12673v2
https://arxiv.org/pdf/2106.12673v2.pdf
https://github.com/cwmok/LapIRN
true
true
true
pytorch
https://paperswithcode.com/paper/predictable-universally-unique-identification
Predictable universally unique identification of sequential events on complex objects
2109.06028
https://arxiv.org/abs/2109.06028v1
https://arxiv.org/pdf/2109.06028v1.pdf
https://github.com/davips/garoupa
true
true
true
none
https://paperswithcode.com/paper/latent-hatred-a-benchmark-for-understanding
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
2109.05322
https://arxiv.org/abs/2109.05322v1
https://arxiv.org/pdf/2109.05322v1.pdf
https://github.com/gt-salt/implicit-hate
true
true
false
none
https://paperswithcode.com/paper/automatic-instrument-recognition-in
Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks
1511.05520
http://arxiv.org/abs/1511.05520v1
http://arxiv.org/pdf/1511.05520v1.pdf
https://github.com/glennq/instrument-recognition
true
true
false
none
https://paperswithcode.com/paper/generative-adversarial-nets-for-multiple-text
Generative Adversarial Nets for Multiple Text Corpora
1712.09127
http://arxiv.org/abs/1712.09127v1
http://arxiv.org/pdf/1712.09127v1.pdf
https://github.com/baiyangwang/emgan
true
true
false
none
https://paperswithcode.com/paper/learning-to-play-othello-with-deep-neural
Learning to Play Othello with Deep Neural Networks
1711.06583
http://arxiv.org/abs/1711.06583v1
http://arxiv.org/pdf/1711.06583v1.pdf
https://github.com/wjaskowski/dnnothello
true
false
true
none
https://paperswithcode.com/paper/deep-mimo-detection
Deep MIMO Detection
1706.01151
http://arxiv.org/abs/1706.01151v1
http://arxiv.org/pdf/1706.01151v1.pdf
https://github.com/Deeksha96/Deep-MIMO-Detection
false
false
true
tf
https://paperswithcode.com/paper/deep-learning-for-optimal-energy-efficient
A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks
1812.06920
https://arxiv.org/abs/1812.06920v2
https://arxiv.org/pdf/1812.06920v2.pdf
https://github.com/bmatthiesen/deep-EE-opt
true
true
true
tf
https://paperswithcode.com/paper/the-case-for-learned-index-structures
The Case for Learned Index Structures
1712.01208
http://arxiv.org/abs/1712.01208v3
http://arxiv.org/pdf/1712.01208v3.pdf
https://github.com/ArnabRaxit/learned_indexes
false
false
true
pytorch
https://paperswithcode.com/paper/spanning-tree-auxiliary-graphs
Spanning Tree Auxiliary Graphs
1705.00119
http://arxiv.org/abs/1705.00119v1
http://arxiv.org/pdf/1705.00119v1.pdf
https://github.com/abhishekgarg2009/Spanning-Tree-Auxiliary-Graphs
false
false
true
none
https://paperswithcode.com/paper/infinite-size-density-matrix-renormalization
Infinite size density matrix renormalization group, revisited
0804.2509
http://arxiv.org/abs/0804.2509v1
http://arxiv.org/pdf/0804.2509v1.pdf
https://github.com/empter/DMRGwithMPSandMPO
false
false
true
none
https://paperswithcode.com/paper/multi-modal-factorized-bilinear-pooling-with
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
1708.01471
http://arxiv.org/abs/1708.01471v1
http://arxiv.org/pdf/1708.01471v1.pdf
https://github.com/yuzcccc/mfb
true
true
true
caffe2
https://paperswithcode.com/paper/beyond-bilinear-generalized-multi-modal
Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question Answering
1708.03619
https://arxiv.org/abs/1708.03619v2
https://arxiv.org/pdf/1708.03619v2.pdf
https://github.com/yuzcccc/mfb
true
true
true
caffe2
https://paperswithcode.com/paper/self-diagnosing-gan-diagnosing
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
2102.12033
https://arxiv.org/abs/2102.12033v3
https://arxiv.org/pdf/2102.12033v3.pdf
https://github.com/grayhong/self-diagnosing-gan
true
true
true
pytorch
https://paperswithcode.com/paper/explaining-and-harnessing-adversarial
Explaining and Harnessing Adversarial Examples
1412.6572
http://arxiv.org/abs/1412.6572v3
http://arxiv.org/pdf/1412.6572v3.pdf
https://github.com/henry8527/GCE
false
false
true
pytorch
https://paperswithcode.com/paper/provable-defenses-against-adversarial
Provable defenses against adversarial examples via the convex outer adversarial polytope
1711.00851
http://arxiv.org/abs/1711.00851v3
http://arxiv.org/pdf/1711.00851v3.pdf
https://github.com/huanzhang12/CROWN-Robustness-Certification
false
false
true
tf
https://paperswithcode.com/paper/post-data-augmentation-to-improve-deep-pose
Post-Data Augmentation to Improve Deep Pose Estimation of Extreme and Wild Motions
1902.04250
http://arxiv.org/abs/1902.04250v1
http://arxiv.org/pdf/1902.04250v1.pdf
https://github.com/ktoyod/rotatedpose
false
false
true
none
https://paperswithcode.com/paper/a-survey-of-motion-planning-and-control
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles
1604.07446
http://arxiv.org/abs/1604.07446v1
http://arxiv.org/pdf/1604.07446v1.pdf
https://github.com/gtg162y/Resources
false
false
true
none
https://paperswithcode.com/paper/deepwarp-dnn-based-nonlinear-deformation
DeepWarp: DNN-based Nonlinear Deformation
1803.09109
http://arxiv.org/abs/1803.09109v1
http://arxiv.org/pdf/1803.09109v1.pdf
https://github.com/kidyan0000/cloth_simulation
false
false
true
none
https://paperswithcode.com/paper/estimating-sample-specific-regulatory
Estimating sample-specific regulatory networks
1505.06440
http://arxiv.org/abs/1505.06440v2
http://arxiv.org/pdf/1505.06440v2.pdf
https://github.com/twangxxx/netZooR
false
false
true
none
https://paperswithcode.com/paper/propagate-selector-detecting-supporting
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
1908.09137
https://arxiv.org/abs/1908.09137v2
https://arxiv.org/pdf/1908.09137v2.pdf
https://github.com/david-yoon/propagate-selector
true
true
true
tf
https://paperswithcode.com/paper/oifits-2-the-2nd-version-of-the-data-exchange
OIFITS 2: the 2nd version of the Data Exchange Standard for Optical (Visible/IR) Interferometry
1510.04556
http://arxiv.org/abs/1510.04556v4
http://arxiv.org/pdf/1510.04556v4.pdf
https://github.com/UnofficialJuliaMirrorSnapshots/OIFITS.jl-53eb397e-dec1-5dcf-8dc9-2db916067267
false
false
true
none
https://paperswithcode.com/paper/enhancing-the-lexvec-distributed-word
Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory
1606.01283
http://arxiv.org/abs/1606.01283v1
http://arxiv.org/pdf/1606.01283v1.pdf
https://github.com/alexandres/lexvec
true
false
true
none
https://paperswithcode.com/paper/cost-effective-on-device-continual-learning
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
2308.06053
https://arxiv.org/abs/2308.06053v4
https://arxiv.org/pdf/2308.06053v4.pdf
https://github.com/omnia-unist/Miro
true
true
false
pytorch
https://paperswithcode.com/paper/bert-pre-training-of-deep-bidirectional
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
1810.04805
https://arxiv.org/abs/1810.04805v2
https://arxiv.org/pdf/1810.04805v2.pdf
https://github.com/nicholasbao/nlp_job
false
false
true
tf
https://paperswithcode.com/paper/product-based-neural-networks-for-user-1
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
1807.00311
http://arxiv.org/abs/1807.00311v1
http://arxiv.org/pdf/1807.00311v1.pdf
https://github.com/Atomu2014/product-nets-distributed
true
true
true
tf
https://paperswithcode.com/paper/unpaired-image-to-image-translation-using
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
1703.10593
https://arxiv.org/abs/1703.10593v7
https://arxiv.org/pdf/1703.10593v7.pdf
https://github.com/ZC119/Handwritten-CycleGAN
false
false
true
pytorch
https://paperswithcode.com/paper/testing-the-number-of-components-in-finite
Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data
2210.02824
https://arxiv.org/abs/2210.02824v2
https://arxiv.org/pdf/2210.02824v2.pdf
https://github.com/JasmineHao/NormalRegPanelMixture
true
false
false
none
https://paperswithcode.com/paper/bottom-up-and-top-down-attention-for-image
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
1707.07998
http://arxiv.org/abs/1707.07998v3
http://arxiv.org/pdf/1707.07998v3.pdf
https://github.com/Wentong-DST/up-down-captioner
false
false
true
caffe2
https://paperswithcode.com/paper/actor-critic-versus-direct-policy-search-a
Actor-critic versus direct policy search: a comparison based on sample complexity
1606.09152
http://arxiv.org/abs/1606.09152v2
http://arxiv.org/pdf/1606.09152v2.pdf
https://github.com/MOCR/DDPG
true
true
true
tf
https://paperswithcode.com/paper/generating-focussed-molecule-libraries-for
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
1701.01329
http://arxiv.org/abs/1701.01329v1
http://arxiv.org/pdf/1701.01329v1.pdf
https://github.com/jaechanglim/molecule-generator
false
false
true
tf
https://paperswithcode.com/paper/deterministic-memory-abstraction-and
Deterministic Memory Abstraction and Supporting Multicore System Architecture
1707.05260
https://arxiv.org/abs/1707.05260v4
https://arxiv.org/pdf/1707.05260v4.pdf
https://github.com/farzadfch/gem5-cache-partitioning
true
true
true
none
https://paperswithcode.com/paper/dynamic-coattention-networks-for-question
Dynamic Coattention Networks For Question Answering
1611.01604
http://arxiv.org/abs/1611.01604v4
http://arxiv.org/pdf/1611.01604v4.pdf
https://github.com/Lou1sM/AML-Project
false
false
true
tf
https://paperswithcode.com/paper/mask-r-cnn
Mask R-CNN
1703.06870
http://arxiv.org/abs/1703.06870v3
http://arxiv.org/pdf/1703.06870v3.pdf
https://github.com/sbetageri/MaskRCNN
false
false
true
pytorch
https://paperswithcode.com/paper/introducing-astrocytes-on-a-neuromorphic
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos
1907.01620
https://arxiv.org/abs/1907.01620v2
https://arxiv.org/pdf/1907.01620v2.pdf
https://github.com/combra-lab/combra_loihi
true
true
true
none
https://paperswithcode.com/paper/unsupervised-representation-learning-with-1
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
1511.06434
http://arxiv.org/abs/1511.06434v2
http://arxiv.org/pdf/1511.06434v2.pdf
https://github.com/Ksuryateja/DCGAN-CIFAR10-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/towards-sparse-hierarchical-graph-classifiers
Towards Sparse Hierarchical Graph Classifiers
1811.01287
http://arxiv.org/abs/1811.01287v1
http://arxiv.org/pdf/1811.01287v1.pdf
https://github.com/HeapHop30/hierarchical-pooling
false
false
true
tf
https://paperswithcode.com/paper/a-quantum-approximate-optimization-algorithm-1
A Quantum Approximate Optimization Algorithm
1411.4028
http://arxiv.org/abs/1411.4028v1
http://arxiv.org/pdf/1411.4028v1.pdf
https://github.com/kdalkafoukis/quantum_computing
false
false
true
none
https://paperswithcode.com/paper/swin-transformer-hierarchical-vision
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2103.14030
https://arxiv.org/abs/2103.14030v2
https://arxiv.org/pdf/2103.14030v2.pdf
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/swin_transformer.py
false
false
false
mindspore
https://paperswithcode.com/paper/scalable-string-reconciliation-by-recursive
Scalable String Reconciliation by Recursive Content-Dependent Shingling
1910.00536
https://arxiv.org/abs/1910.00536v1
https://arxiv.org/pdf/1910.00536v1.pdf
https://github.com/String-Reconciliation-Ditributed-System/RCDS_GO
false
false
true
none
https://paperswithcode.com/paper/forward-modeling-of-large-scale-structure-an
Forward Modeling of Large-Scale Structure: An open-source approach with Halotools
1606.04106
http://arxiv.org/abs/1606.04106v2
http://arxiv.org/pdf/1606.04106v2.pdf
https://github.com/mclaughlin6464/halotools_old
false
false
true
none