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

Dataset card Data Studio Files
xet
Community
1
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242
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https://paperswithcode.com/paper/tracking-objects-as-points
Tracking Objects as Points
2004.01177
https://arxiv.org/abs/2004.01177v2
https://arxiv.org/pdf/2004.01177v2.pdf
https://github.com/danielzgsilva/MOT
false
false
true
pytorch
https://paperswithcode.com/paper/an-analysis-of-lime-for-text-data
An Analysis of LIME for Text Data
2010.12487
https://arxiv.org/abs/2010.12487v2
https://arxiv.org/pdf/2010.12487v2.pdf
https://github.com/dmardaoui/lime_text_theory
true
true
true
none
https://paperswithcode.com/paper/optimal-execution-strategy-with-an-uncertain
Optimal Trade Execution with Uncertain Volume Target
1810.11454
https://arxiv.org/abs/1810.11454v5
https://arxiv.org/pdf/1810.11454v5.pdf
https://github.com/julien-vaes/trading_uncertain_volume
true
false
true
none
https://paperswithcode.com/paper/adversarial-disentanglement-of-speaker
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
2012.04454
https://arxiv.org/abs/2012.04454v3
https://arxiv.org/pdf/2012.04454v3.pdf
https://github.com/LIAvignon/adversarial-disentangling-autoencoder-for-spk-representation
true
true
true
pytorch
https://paperswithcode.com/paper/eqg-race-examination-type-question-generation
EQG-RACE: Examination-Type Question Generation
2012.06106
https://arxiv.org/abs/2012.06106v1
https://arxiv.org/pdf/2012.06106v1.pdf
https://github.com/jemmryx/EQG-RACE
true
true
true
pytorch
https://paperswithcode.com/paper/spatio-temporal-wind-speed-forecasting-using
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
2208.13585
https://arxiv.org/abs/2208.13585v2
https://arxiv.org/pdf/2208.13585v2.pdf
https://github.com/larsbentsen/fftransformer
true
true
false
pytorch
https://paperswithcode.com/paper/argument-mining-driven-analysis-of-peer
Argument Mining Driven Analysis of Peer-Reviews
2012.07743
https://arxiv.org/abs/2012.07743v1
https://arxiv.org/pdf/2012.07743v1.pdf
https://github.com/fromm-m/aaai2021-am-peer-reviews
true
true
true
pytorch
https://paperswithcode.com/paper/deepseek-v2-a-strong-economical-and-efficient
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
2405.04434
https://arxiv.org/abs/2405.04434v5
https://arxiv.org/pdf/2405.04434v5.pdf
https://github.com/pwc-1/Paper-8/tree/main/deepseek_v2
false
false
false
mindspore
https://paperswithcode.com/paper/data-driven-cardiovascular-flow-modeling
Data-driven cardiovascular flow modeling: examples and opportunities
2010.00131
https://arxiv.org/abs/2010.00131v2
https://arxiv.org/pdf/2010.00131v2.pdf
https://github.com/amir-cardiolab/cardio-data-driven
false
false
true
none
https://paperswithcode.com/paper/competitive-gradient-descent
Competitive Gradient Descent
1905.12103
https://arxiv.org/abs/1905.12103v3
https://arxiv.org/pdf/1905.12103v3.pdf
https://github.com/devzhk/Implicit-Competitive-Regularization
false
false
true
pytorch
https://paperswithcode.com/paper/stay-on-topic-generating-context-specific
Stay On-Topic: Generating Context-specific Fake Restaurant Reviews
1805.02400
http://arxiv.org/abs/1805.02400v4
http://arxiv.org/pdf/1805.02400v4.pdf
https://github.com/hokkaido/fake-reviews
false
false
true
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/MalteHB/-l-ctra
false
false
true
tf
https://paperswithcode.com/paper/convolutional-neural-networks-over-tree
Convolutional Neural Networks over Tree Structures for Programming Language Processing
1409.5718
http://arxiv.org/abs/1409.5718v2
http://arxiv.org/pdf/1409.5718v2.pdf
https://github.com/bdqnghi/tbcnn.tensorflow
false
false
true
tf
https://paperswithcode.com/paper/certified-adversarial-robustness-via
Certified Adversarial Robustness via Randomized Smoothing
1902.02918
https://arxiv.org/abs/1902.02918v2
https://arxiv.org/pdf/1902.02918v2.pdf
https://github.com/mwojnars/nifty
false
false
true
tf
https://paperswithcode.com/paper/focusing-on-possible-named-entities-in-active
Focusing on Potential Named Entities During Active Label Acquisition
2111.03837
https://arxiv.org/abs/2111.03837v3
https://arxiv.org/pdf/2111.03837v3.pdf
https://github.com/bo1929/anelfop
true
true
false
none
https://paperswithcode.com/paper/an-agent-based-modelling-approach-to-brain
An Agent-Based Modelling Approach to Brain Drain
2103.03234
https://arxiv.org/abs/2103.03234v2
https://arxiv.org/pdf/2103.03234v2.pdf
https://github.com/furkangursoy/braindrainabm
true
false
true
none
https://paperswithcode.com/paper/unifuse-unidirectional-fusion-for-360-circ
UniFuse: Unidirectional Fusion for 360$^{\circ}$ Panorama Depth Estimation
2102.03550
https://arxiv.org/abs/2102.03550v2
https://arxiv.org/pdf/2102.03550v2.pdf
https://github.com/alibaba/UniFuse-Unidirectional-Fusion
true
true
true
pytorch
https://paperswithcode.com/paper/a-unified-approach-to-interpreting-and
A Unified Approach to Interpreting and Boosting Adversarial Transferability
2010.04055
https://arxiv.org/abs/2010.04055v2
https://arxiv.org/pdf/2010.04055v2.pdf
https://github.com/xherdan76/A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
true
true
true
pytorch
https://paperswithcode.com/paper/coreference-resolution-without-span
Coreference Resolution without Span Representations
2101.00434
https://arxiv.org/abs/2101.00434v2
https://arxiv.org/pdf/2101.00434v2.pdf
https://github.com/yuvalkirstain/s2e-coref
true
true
true
pytorch
https://paperswithcode.com/paper/universal-dephasing-noise-injection-via
Universal Dephasing Noise Injection via Schrodinger Wave Autoregressive Moving Average Models
2102.03370
https://arxiv.org/abs/2102.03370v2
https://arxiv.org/pdf/2102.03370v2.pdf
https://github.com/mezze-team/mezze
false
false
true
tf
https://paperswithcode.com/paper/cross-lingual-word-embedding-refinement-by
Cross-Lingual Word Embedding Refinement by $\ell_{1}$ Norm Optimisation
2104.04916
https://arxiv.org/abs/2104.04916v1
https://arxiv.org/pdf/2104.04916v1.pdf
https://github.com/Pzoom522/L1-Refinement
true
true
true
pytorch
https://paperswithcode.com/paper/dialogue-graph-modeling-for-conversational
Dialogue Graph Modeling for Conversational Machine Reading
2012.14827
https://arxiv.org/abs/2012.14827v3
https://arxiv.org/pdf/2012.14827v3.pdf
https://github.com/ozyyshr/DGM
true
true
true
pytorch
https://paperswithcode.com/paper/scpm-net-an-anchor-free-3d-lung-nodule
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
2104.05215
https://arxiv.org/abs/2104.05215v2
https://arxiv.org/pdf/2104.05215v2.pdf
https://github.com/HiLab-git/SCPM-Net
true
true
true
pytorch
https://paperswithcode.com/paper/texrel-a-green-family-of-datasets-for
TexRel: a Green Family of Datasets for Emergent Communications on Relations
2105.12804
https://arxiv.org/abs/2105.12804v1
https://arxiv.org/pdf/2105.12804v1.pdf
https://github.com/asappresearch/texrel
true
true
true
pytorch
https://paperswithcode.com/paper/adversarial-fault-tolerant-training-for-deep
Towards Enhancing Fault Tolerance in Neural Networks
1907.03103
https://arxiv.org/abs/1907.03103v3
https://arxiv.org/pdf/1907.03103v3.pdf
https://gitlab.com/vasishtduddu/FaultTolerantNN
true
true
true
pytorch
https://paperswithcode.com/paper/the-shapley-value-of-classifiers-in-ensemble
The Shapley Value of Classifiers in Ensemble Games
2101.02153
https://arxiv.org/abs/2101.02153v2
https://arxiv.org/pdf/2101.02153v2.pdf
https://github.com/benedekrozemberczki/shapley
true
true
true
none
https://paperswithcode.com/paper/structure-enhanced-meta-learning-for-few-shot
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
2103.03547
https://arxiv.org/abs/2103.03547v7
https://arxiv.org/pdf/2103.03547v7.pdf
https://github.com/jiangshunyu/SMF-GIN
false
true
true
pytorch
https://paperswithcode.com/paper/biosignal-analysis-with-matching-pursuit
Biosignal Analysis with Matching-Pursuit Based Adaptive Chirplet Transform
1709.08328
http://arxiv.org/abs/1709.08328v1
http://arxiv.org/pdf/1709.08328v1.pdf
https://github.com/jiecui/mpact
false
false
true
none
https://paperswithcode.com/paper/diffusion-posterior-sampling-for-general
Diffusion Posterior Sampling for General Noisy Inverse Problems
2209.14687
https://arxiv.org/abs/2209.14687v4
https://arxiv.org/pdf/2209.14687v4.pdf
https://github.com/dps2022/diffusion-posterior-sampling
true
true
false
pytorch
https://paperswithcode.com/paper/a-practical-quantum-instruction-set
A Practical Quantum Instruction Set Architecture
1608.03355
http://arxiv.org/abs/1608.03355v2
http://arxiv.org/pdf/1608.03355v2.pdf
https://github.com/kdalkafoukis/quantum_computing
false
false
true
none
https://paperswithcode.com/paper/symbolic-brittleness-in-sequence-models-on
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
2109.13986
https://arxiv.org/abs/2109.13986v2
https://arxiv.org/pdf/2109.13986v2.pdf
https://github.com/wellecks/symbolic_generalization
true
true
true
pytorch
https://paperswithcode.com/paper/infoxlm-an-information-theoretic-framework
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
2007.07834
https://arxiv.org/abs/2007.07834v2
https://arxiv.org/pdf/2007.07834v2.pdf
https://github.com/CZWin32768/xnlg
false
false
true
pytorch
https://paperswithcode.com/paper/principle-bit-analysis-autoencoding-with
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
2106.02796
https://arxiv.org/abs/2106.02796v2
https://arxiv.org/pdf/2106.02796v2.pdf
https://github.com/SourbhBh/PBA
true
true
true
pytorch
https://paperswithcode.com/paper/hybrid-angle-control-and-almost-global
Hybrid Angle Control and Almost Global Stability of Grid-Forming Power Converters
2008.07661
http://arxiv.org/abs/2008.07661v1
http://arxiv.org/pdf/2008.07661v1.pdf
https://github.com/ATayebi/HybridAngleControl-HAC
true
true
true
none
https://paperswithcode.com/paper/under-the-sand-navigation-and-localization-of
Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground Penetrating Synthetic Aperture Radar
2106.10108
https://arxiv.org/abs/2106.10108v2
https://arxiv.org/pdf/2106.10108v2.pdf
https://github.com/ethz-asl/mav_findmine
true
true
true
none
https://paperswithcode.com/paper/sliced-iterative-generator
Sliced Iterative Normalizing Flows
2007.00674
https://arxiv.org/abs/2007.00674v3
https://arxiv.org/pdf/2007.00674v3.pdf
https://github.com/biweidai/SINF
false
false
true
pytorch
https://paperswithcode.com/paper/self-adaptive-training-beyond-empirical-risk
Self-Adaptive Training: beyond Empirical Risk Minimization
2002.10319
https://arxiv.org/abs/2002.10319v2
https://arxiv.org/pdf/2002.10319v2.pdf
https://github.com/MarinePICOT/Adversarial-Robustness-via-Fisher-Rao-Regularization
false
false
true
pytorch
https://paperswithcode.com/paper/learning-mathbf-mathit-matching
Learning Matching Representations for Individualized Organ Transplantation Allocation
2101.11769
https://arxiv.org/abs/2101.11769v2
https://arxiv.org/pdf/2101.11769v2.pdf
https://github.com/CanXu0728/MatchingRep
false
false
true
none
https://paperswithcode.com/paper/a-causal-view-on-compositional-data
Instrumental Variable Estimation for Compositional Treatments
2106.11234
https://arxiv.org/abs/2106.11234v3
https://arxiv.org/pdf/2106.11234v3.pdf
https://github.com/EAiler/comp-iv
true
true
true
jax
https://paperswithcode.com/paper/minimizing-finite-sums-with-the-stochastic
Minimizing Finite Sums with the Stochastic Average Gradient
1309.2388
http://arxiv.org/abs/1309.2388v2
http://arxiv.org/pdf/1309.2388v2.pdf
https://github.com/nathansiae/Stochastic-Average-Newton
false
false
true
none
https://paperswithcode.com/paper/lv-bert-exploiting-layer-variety-for-bert
LV-BERT: Exploiting Layer Variety for BERT
2106.11740
https://arxiv.org/abs/2106.11740v2
https://arxiv.org/pdf/2106.11740v2.pdf
https://github.com/yuweihao/LV-BERT
true
true
true
tf
https://paperswithcode.com/paper/a-generative-model-of-symmetry
A Generative Model of Symmetry Transformations
2403.01946
https://arxiv.org/abs/2403.01946v3
https://arxiv.org/pdf/2403.01946v3.pdf
https://github.com/cambridge-mlg/sgm
true
true
true
jax
https://paperswithcode.com/paper/arcface-additive-angular-margin-loss-for-deep
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
1801.07698
https://arxiv.org/abs/1801.07698v4
https://arxiv.org/pdf/1801.07698v4.pdf
https://github.com/shyhyawJou/ArcFace-Pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/pointer-value-retrieval-a-new-benchmark-for
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization
2107.12580
https://arxiv.org/abs/2107.12580v2
https://arxiv.org/pdf/2107.12580v2.pdf
https://github.com/OfirKedem/Pointer-Value-Retrieval
false
false
true
pytorch
https://paperswithcode.com/paper/heam-high-efficiency-approximate-multiplier
HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks
2201.08022
https://arxiv.org/abs/2201.08022v5
https://arxiv.org/pdf/2201.08022v5.pdf
https://github.com/fdu-me-arc/approxflow
true
true
false
tf
https://paperswithcode.com/paper/personalizing-dialogue-agents-i-have-a-dog-do
Personalizing Dialogue Agents: I have a dog, do you have pets too?
1801.07243
http://arxiv.org/abs/1801.07243v5
http://arxiv.org/pdf/1801.07243v5.pdf
https://github.com/af1tang/personaGPT
false
false
true
pytorch
https://paperswithcode.com/paper/simple-modifications-to-improve-tabular
Simple Modifications to Improve Tabular Neural Networks
2108.03214
https://arxiv.org/abs/2108.03214v2
https://arxiv.org/pdf/2108.03214v2.pdf
https://github.com/jrfiedler/xynn
true
true
true
pytorch
https://paperswithcode.com/paper/named-entity-recognition-with-small-strongly
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
2106.08977
https://arxiv.org/abs/2106.08977v2
https://arxiv.org/pdf/2106.08977v2.pdf
https://github.com/amzn/amazon-weak-ner-needle
true
true
true
pytorch
https://paperswithcode.com/paper/theory-guided-hard-constraint-projection-hcp
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
2012.06148
https://arxiv.org/abs/2012.06148v2
https://arxiv.org/pdf/2012.06148v2.pdf
https://github.com/YuntianChen/Hard_constrant_projection_HCP
true
false
true
pytorch
https://paperswithcode.com/paper/distinguishing-look-alike-innocent-and
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation
2308.11237
https://arxiv.org/abs/2308.11237v1
https://arxiv.org/pdf/2308.11237v1.pdf
https://github.com/jacknichao/svuld
true
true
false
none
https://paperswithcode.com/paper/communication-constrained-expansion-planning
Communication-Constrained Expansion Planning for Resilient Distribution Systems
1801.03520
http://arxiv.org/abs/1801.03520v1
http://arxiv.org/pdf/1801.03520v1.pdf
https://github.com/gbyeon/2DBP
false
false
true
none
https://paperswithcode.com/paper/convolutional-2d-knowledge-graph-embeddings
Convolutional 2D Knowledge Graph Embeddings
1707.01476
http://arxiv.org/abs/1707.01476v6
http://arxiv.org/pdf/1707.01476v6.pdf
https://github.com/oliver-lloyd/kge_param_sens
false
false
true
none
https://paperswithcode.com/paper/cfear-radarodometry-conservative-filtering-1
CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry
null
https://arxiv.org/abs/2105.01457
https://arxiv.org/pdf/2105.01457.pdf
https://github.com/dan11003/CFEAR_Radarodometry_code_public
true
false
false
none
https://paperswithcode.com/paper/protein-driven-lipid-domain-nucleation-in
Protein driven lipid domain nucleation in biological membranes
1909.08659
https://arxiv.org/abs/1909.08659v1
https://arxiv.org/pdf/1909.08659v1.pdf
https://github.com/moritzhoferer/moritzhoferer
false
false
true
none
https://paperswithcode.com/paper/dimensionality-reduction-of-longitudinal
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization
2111.14159
https://arxiv.org/abs/2111.14159v1
https://arxiv.org/pdf/2111.14159v1.pdf
https://github.com/uriamorp/mprod_package
true
true
false
none
https://paperswithcode.com/paper/misleading-authorship-attribution-of-source
Misleading Authorship Attribution of Source Code using Adversarial Learning
1905.12386
https://arxiv.org/abs/1905.12386v2
https://arxiv.org/pdf/1905.12386v2.pdf
https://github.com/equiw/code-imitator
false
false
true
none
https://paperswithcode.com/paper/cross-part-learning-for-fine-grained-image
Cross-Part Learning for Fine-Grained Image Classification
null
https://ieeexplore.ieee.org/abstract/document/9656684
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9656684
https://github.com/2023-MindSpore-1/ms-code-135
false
false
false
mindspore
https://paperswithcode.com/paper/faster-one-sample-stochastic-conditional
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
2202.13212
https://arxiv.org/abs/2202.13212v2
https://arxiv.org/pdf/2202.13212v2.pdf
https://github.com/ratschlab/faster-hcgm-composite
true
true
false
none
https://paperswithcode.com/paper/hybrid-multi-fluid-particle-simulations-of
Hybrid multi-fluid-particle simulations of the cosmic neutrino background
2210.16012
https://arxiv.org/abs/2210.16012v2
https://arxiv.org/pdf/2210.16012v2.pdf
https://github.com/joechenunsw/gadget4-hybrid_public
true
true
false
none
https://paperswithcode.com/paper/modelling-stochastic-time-delay-for
Modelling stochastic time delay for regression analysis
2111.06403
https://arxiv.org/abs/2111.06403v1
https://arxiv.org/pdf/2111.06403v1.pdf
https://github.com/aaron1rcl/tvs_regression
true
true
false
none
https://paperswithcode.com/paper/puzzle-cam-improved-localization-via-matching
Puzzle-CAM: Improved localization via matching partial and full features
2101.11253
https://arxiv.org/abs/2101.11253v4
https://arxiv.org/pdf/2101.11253v4.pdf
https://github.com/dbash/zerowaste
false
false
true
pytorch
https://paperswithcode.com/paper/bootstrapping-semantic-segmentation-with
Bootstrapping Semantic Segmentation with Regional Contrast
2104.04465
https://arxiv.org/abs/2104.04465v4
https://arxiv.org/pdf/2104.04465v4.pdf
https://github.com/dbash/zerowaste
false
false
true
pytorch
https://paperswithcode.com/paper/eadro-an-end-to-end-troubleshooting-framework
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data
2302.05092
https://arxiv.org/abs/2302.05092v1
https://arxiv.org/pdf/2302.05092v1.pdf
https://github.com/bebillionaireusd/eadro
true
true
false
pytorch
https://paperswithcode.com/paper/end-to-end-learning-for-self-driving-cars
End to End Learning for Self-Driving Cars
1604.07316
http://arxiv.org/abs/1604.07316v1
http://arxiv.org/pdf/1604.07316v1.pdf
https://github.com/jm12138/car-behavioral-cloning-paddle
false
false
true
paddle
https://paperswithcode.com/paper/strategic-latency-reduction-in-blockchain
Strategic Latency Reduction in Blockchain Peer-to-Peer Networks
2205.06837
https://arxiv.org/abs/2205.06837v4
https://arxiv.org/pdf/2205.06837v4.pdf
https://github.com/weizhaot/geth_peri
true
true
false
none
https://paperswithcode.com/paper/identifying-causal-associations-in-tweets
Identifying causal relations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021
2111.01225
https://arxiv.org/abs/2111.01225v4
https://arxiv.org/pdf/2111.01225v4.pdf
https://github.com/wdds/causal-associations-diabetes-twitter
true
true
true
pytorch
https://paperswithcode.com/paper/learning-to-generate-piano-music-with-sustain
Learning To Generate Piano Music With Sustain Pedals
2111.01216
https://arxiv.org/abs/2111.01216v1
https://arxiv.org/pdf/2111.01216v1.pdf
https://github.com/joann8512/suspedal-gen
true
true
false
pytorch
https://paperswithcode.com/paper/adapting-a-convnext-model-to-audio
Adapting a ConvNeXt model to audio classification on AudioSet
2306.00830
https://arxiv.org/abs/2306.00830v1
https://arxiv.org/pdf/2306.00830v1.pdf
https://github.com/k-h-ismail/dcls-audio
false
false
false
pytorch
https://paperswithcode.com/paper/the-entropy-production-of-stationary
The entropy production of stationary diffusions
2212.05125
https://arxiv.org/abs/2212.05125v3
https://arxiv.org/pdf/2212.05125v3.pdf
https://github.com/lancelotdacosta/entropy_production_stationary_diffusions
true
true
false
none
https://paperswithcode.com/paper/semantic-supersenses-for-english-possessives
Semantic Supersenses for English Possessives
null
https://aclanthology.org/L18-1242
https://aclanthology.org/L18-1242.pdf
https://github.com/nert-gu/streusle
true
true
false
none
https://paperswithcode.com/paper/comprehensive-supersense-disambiguation-of
Comprehensive Supersense Disambiguation of English Prepositions and Possessives
1805.04905
http://arxiv.org/abs/1805.04905v1
http://arxiv.org/pdf/1805.04905v1.pdf
https://github.com/nert-gu/streusle
true
true
false
none
https://paperswithcode.com/paper/robust-control-under-uncertainty-via-bounded
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy
2109.08262
https://arxiv.org/abs/2109.08262v1
https://arxiv.org/pdf/2109.08262v1.pdf
https://github.com/irom-lab/br-dp-robust
true
true
true
jax
https://paperswithcode.com/paper/edge-similarity-aware-graph-neural-networks
Edge-similarity-aware Graph Neural Networks
2109.09432
https://arxiv.org/abs/2109.09432v1
https://arxiv.org/pdf/2109.09432v1.pdf
https://github.com/vincentx15/rnattentional
true
true
false
pytorch
https://paperswithcode.com/paper/machine-learning-synthetic-spectra-for
Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z
2111.12118
https://arxiv.org/abs/2111.12118v1
https://arxiv.org/pdf/2111.12118v1.pdf
https://github.com/nesar/mdn_phoz
true
true
false
tf
https://paperswithcode.com/paper/hapnet-toward-superior-rgb-thermal-scene
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion
2404.03527
https://arxiv.org/abs/2404.03527v2
https://arxiv.org/pdf/2404.03527v2.pdf
https://github.com/LiJiahang617/HAPNet
true
false
false
pytorch
https://paperswithcode.com/paper/learning-a-more-continuous-zero-level-set-in
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
2308.11441
https://arxiv.org/abs/2308.11441v1
https://arxiv.org/pdf/2308.11441v1.pdf
https://github.com/junshengzhou/levelsetudf
true
true
true
pytorch
https://paperswithcode.com/paper/proofnet-autoformalizing-and-formally-proving
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
2302.12433
https://arxiv.org/abs/2302.12433v1
https://arxiv.org/pdf/2302.12433v1.pdf
https://github.com/zhangir-azerbayev/proofnet
true
true
true
pytorch
https://paperswithcode.com/paper/ultra-efficient-transfer-learning-with-meta
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
2003.06113
https://arxiv.org/abs/2003.06113v3
https://arxiv.org/pdf/2003.06113v3.pdf
https://github.com/tiehangd/MUPS
true
true
true
pytorch
https://paperswithcode.com/paper/soft-actor-critic-for-discrete-action
Soft Actor-Critic for Discrete Action Settings
1910.07207
https://arxiv.org/abs/1910.07207v2
https://arxiv.org/pdf/1910.07207v2.pdf
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
true
true
true
pytorch
https://paperswithcode.com/paper/a-tutorial-on-learning-disentangled
Learning Disentangled Representations in the Imaging Domain
2108.12043
https://arxiv.org/abs/2108.12043v6
https://arxiv.org/pdf/2108.12043v6.pdf
https://github.com/vios-s/disentanglement_tutorial
true
true
true
pytorch
https://paperswithcode.com/paper/from-discrete-to-continuous-convolution
From Discrete to Continuous Convolution Layers
2006.11120
https://arxiv.org/abs/2006.11120v1
https://arxiv.org/pdf/2006.11120v1.pdf
https://github.com/assafshocher/ResizeRight
false
false
true
pytorch
https://paperswithcode.com/paper/integration-of-genetic-algorithms-and-deep
Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors
2408.07155
https://arxiv.org/abs/2408.07155v1
https://arxiv.org/pdf/2408.07155v1.pdf
https://github.com/ricardo-romero-ochoa/bio-deep-learning
true
true
false
tf
https://paperswithcode.com/paper/hardware-security-evaluation-of-max-10-fpga
Hardware Security Evaluation of MAX 10 FPGA
1910.05086
http://arxiv.org/abs/1910.05086v1
http://arxiv.org/pdf/1910.05086v1.pdf
https://github.com/ArcadeHustle/WatermelonPapriumDump
false
false
true
none
https://paperswithcode.com/paper/classifying-dyads-for-militarized-conflict
Classifying Dyads for Militarized Conflict Analysis
2109.12860
https://arxiv.org/abs/2109.12860v1
https://arxiv.org/pdf/2109.12860v1.pdf
https://github.com/conflict-ai/conflictwiki
true
true
false
pytorch
https://paperswithcode.com/paper/irt2-inductive-linking-and-ranking-in
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale
2301.00716
https://arxiv.org/abs/2301.00716v1
https://arxiv.org/pdf/2301.00716v1.pdf
https://github.com/lavis-nlp/irt2
true
true
false
none
https://paperswithcode.com/paper/stylebank-an-explicit-representation-for
StyleBank: An Explicit Representation for Neural Image Style Transfer
1703.09210
http://arxiv.org/abs/1703.09210v2
http://arxiv.org/pdf/1703.09210v2.pdf
https://github.com/jxcodetw/stylebank
false
false
true
pytorch
https://paperswithcode.com/paper/deep-plastic-surgery-robust-and-controllable
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
2001.02890
https://arxiv.org/abs/2001.02890v1
https://arxiv.org/pdf/2001.02890v1.pdf
https://github.com/vita-group/deepps
false
false
true
pytorch
https://paperswithcode.com/paper/neuface-realistic-3d-neural-face-rendering
NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images
2303.14092
https://arxiv.org/abs/2303.14092v2
https://arxiv.org/pdf/2303.14092v2.pdf
https://github.com/aejion/neuface
true
true
true
pytorch
https://paperswithcode.com/paper/privacy-preserving-traffic-flow-prediction-a
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
2003.08725
https://arxiv.org/abs/2003.08725v1
https://arxiv.org/pdf/2003.08725v1.pdf
https://github.com/Practicing-Federated-Learning-for-IoT/FedGRU
true
false
false
pytorch
https://paperswithcode.com/paper/shotluck-holmes-a-family-of-efficient-small
Shotluck Holmes: A Family of Efficient Small-Scale Large Language Vision Models For Video Captioning and Summarization
2405.20648
https://arxiv.org/abs/2405.20648v2
https://arxiv.org/pdf/2405.20648v2.pdf
https://github.com/Skyline-9/Shotluck-Holmes
true
false
true
pytorch
https://paperswithcode.com/paper/goes-class-estimation-for-behind-the-limb
GOES class estimation for behind-the-limb solar flares using MESSENGER SAX
2012.10221
https://arxiv.org/abs/2012.10221v1
https://arxiv.org/pdf/2012.10221v1.pdf
https://github.com/elastufka/SAX-XRS_figures
false
false
true
none
https://paperswithcode.com/paper/cautious-bayesian-optimization-for-efficient
Cautious Bayesian Optimization for Efficient and Scalable Policy Search
2011.09445
http://arxiv.org/abs/2011.09445v1
http://arxiv.org/pdf/2011.09445v1.pdf
https://github.com/boschresearch/ConfidenceRegionBO
true
false
true
none
https://paperswithcode.com/paper/anomaly-detection-in-multivariate-non
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis
1708.02635
http://arxiv.org/abs/1708.02635v2
http://arxiv.org/pdf/1708.02635v2.pdf
https://github.com/leedoyup/anogan-tf
false
false
true
tf
https://paperswithcode.com/paper/hurricane-forecasting-a-novel-multimodal
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
2011.06125
https://arxiv.org/abs/2011.06125v4
https://arxiv.org/pdf/2011.06125v4.pdf
https://github.com/stormalytics/hurricane-frocasting
false
false
true
pytorch
https://paperswithcode.com/paper/a-strong-baseline-for-image-and-video-quality
A strong baseline for image and video quality assessment
2111.07104
https://arxiv.org/abs/2111.07104v1
https://arxiv.org/pdf/2111.07104v1.pdf
https://github.com/tencent/censeoqoe
true
true
false
pytorch
https://paperswithcode.com/paper/deep-facial-synthesis-a-new-challenge
Facial-Sketch Synthesis: A New Challenge
2112.15439
https://arxiv.org/abs/2112.15439v6
https://arxiv.org/pdf/2112.15439v6.pdf
https://github.com/DengPingFan/FS2K
true
true
false
none
https://paperswithcode.com/paper/unsupervised-anomaly-detection-with
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
1703.05921
http://arxiv.org/abs/1703.05921v1
http://arxiv.org/pdf/1703.05921v1.pdf
https://github.com/leedoyup/anogan-tf
false
false
true
tf
https://paperswithcode.com/paper/fourier-series-weight-in-quantum-machine
Fourier series weight in quantum machine learning
2302.00105
https://arxiv.org/abs/2302.00105v2
https://arxiv.org/pdf/2302.00105v2.pdf
https://github.com/pifparfait/fourier_based_qml
true
true
false
none
https://paperswithcode.com/paper/probabilistic-circuits-for-variational
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
2010.11446
https://arxiv.org/abs/2010.11446v1
https://arxiv.org/pdf/2010.11446v1.pdf
https://github.com/AndyShih12/SPN_Variational_Inference
true
true
true
pytorch
https://paperswithcode.com/paper/optimality-of-finite-parameter-shift-rules
Optimality of Finite-Support Parameter Shift Rules for Derivatives of Variational Quantum Circuits
2112.14669
https://arxiv.org/abs/2112.14669v2
https://arxiv.org/pdf/2112.14669v2.pdf
https://github.com/dojt/shiftrulespluto
true
true
true
none