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

Dataset card Data Studio Files
xet
Community
1
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81
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242
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https://paperswithcode.com/paper/a-multi-modal-geographic-pre-training-method
MGeo: Multi-Modal Geographic Pre-Training Method
2301.04283
https://arxiv.org/abs/2301.04283v2
https://arxiv.org/pdf/2301.04283v2.pdf
https://github.com/phantomgrapes/mgeo
true
true
true
pytorch
https://paperswithcode.com/paper/temos-generating-diverse-human-motions-from
TEMOS: Generating diverse human motions from textual descriptions
2204.14109
https://arxiv.org/abs/2204.14109v2
https://arxiv.org/pdf/2204.14109v2.pdf
https://github.com/Mathux/TEMOS
true
false
true
pytorch
https://paperswithcode.com/paper/contrastive-learning-for-improving-asr
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
2205.00693
https://arxiv.org/abs/2205.00693v2
https://arxiv.org/pdf/2205.00693v2.pdf
https://github.com/miulab/spokencse
true
true
true
pytorch
https://paperswithcode.com/paper/mnist-c-a-robustness-benchmark-for-computer
MNIST-C: A Robustness Benchmark for Computer Vision
1906.02337
https://arxiv.org/abs/1906.02337v1
https://arxiv.org/pdf/1906.02337v1.pdf
https://github.com/testingautomated-usi/fashion-mnist-c
false
false
true
none
https://paperswithcode.com/paper/prefix-tuning-optimizing-continuous-prompts
Prefix-Tuning: Optimizing Continuous Prompts for Generation
2101.00190
https://arxiv.org/abs/2101.00190v1
https://arxiv.org/pdf/2101.00190v1.pdf
https://github.com/ga642381/SpeechPrompt
false
false
true
pytorch
https://paperswithcode.com/paper/generative-spoken-language-modeling-from-raw
Generative Spoken Language Modeling from Raw Audio
2102.01192
https://arxiv.org/abs/2102.01192v2
https://arxiv.org/pdf/2102.01192v2.pdf
https://github.com/ga642381/SpeechPrompt
false
false
true
pytorch
https://paperswithcode.com/paper/towards-theoretical-analysis-of
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
2205.01940
https://arxiv.org/abs/2205.01940v2
https://arxiv.org/pdf/2205.01940v2.pdf
https://github.com/sjtu-xai-lab/transformation-complexity
true
true
true
pytorch
https://paperswithcode.com/paper/mad-self-supervised-masked-anomaly-detection
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
2205.02100
https://arxiv.org/abs/2205.02100v1
https://arxiv.org/pdf/2205.02100v1.pdf
https://github.com/icsdataset/hai
true
true
false
none
https://paperswithcode.com/paper/emospeech-guiding-fastspeech2-towards
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to Speech
2307.00024
https://arxiv.org/abs/2307.00024v1
https://arxiv.org/pdf/2307.00024v1.pdf
https://github.com/deepvk/emospeech
true
true
true
pytorch
https://paperswithcode.com/paper/learning-to-disambiguate-strongly-interacting
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
2107.00434
https://arxiv.org/abs/2107.00434v2
https://arxiv.org/pdf/2107.00434v2.pdf
https://github.com/zc-alexfan/digit-interacting
true
false
true
pytorch
https://paperswithcode.com/paper/graph-topology-invariant-gradient-and
Graph topology invariant gradient and sampling complexity for decentralized and stochastic optimization
2101.00143
https://arxiv.org/abs/2101.00143v2
https://arxiv.org/pdf/2101.00143v2.pdf
https://github.com/Libensemble/libensemble
false
false
true
none
https://paperswithcode.com/paper/gradient-sliding-for-composite-optimization
Gradient Sliding for Composite Optimization
1406.0919
http://arxiv.org/abs/1406.0919v2
http://arxiv.org/pdf/1406.0919v2.pdf
https://github.com/Libensemble/libensemble
false
false
true
none
https://paperswithcode.com/paper/inferring-density-dependent-population
Inferring Density-Dependent Population Dynamics Mechanisms through Rate Disambiguation for Logistic Birth-Death Processes
2205.05189
https://arxiv.org/abs/2205.05189v1
https://arxiv.org/pdf/2205.05189v1.pdf
https://github.com/lhuynhm/birthdeathdisambiguation
true
true
false
none
https://paperswithcode.com/paper/cic-bart-ssa-controllable-image-captioning
CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation
2407.11393
https://arxiv.org/abs/2407.11393v2
https://arxiv.org/pdf/2407.11393v2.pdf
https://github.com/SamsungLabs/CIC-BART-SSA
true
true
false
pytorch
https://paperswithcode.com/paper/jax-md-end-to-end-differentiable-hardware-1
JAX, M.D.: A Framework for Differentiable Physics
1912.04232
https://arxiv.org/abs/1912.04232v2
https://arxiv.org/pdf/1912.04232v2.pdf
https://github.com/google/jax-md
true
true
true
jax
https://paperswithcode.com/paper/deep-learning-based-channel-estimation-for-4
Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO
2205.05202
https://arxiv.org/abs/2205.05202v1
https://arxiv.org/pdf/2205.05202v1.pdf
https://github.com/ericgjb/sbl_unfolding_based_had_mimo_channel_estimation
true
true
false
tf
https://paperswithcode.com/paper/partial-class-activation-attention-for
Partial Class Activation Attention for Semantic Segmentation
null
http://openaccess.thecvf.com//content/CVPR2022/html/Liu_Partial_Class_Activation_Attention_for_Semantic_Segmentation_CVPR_2022_paper.html
http://openaccess.thecvf.com//content/CVPR2022/papers/Liu_Partial_Class_Activation_Attention_for_Semantic_Segmentation_CVPR_2022_paper.pdf
https://github.com/lsa1997/pcaa
true
true
false
pytorch
https://paperswithcode.com/paper/multi-scale-memory-based-video-deblurring
Multi-Scale Memory-Based Video Deblurring
2204.02977
https://arxiv.org/abs/2204.02977v1
https://arxiv.org/pdf/2204.02977v1.pdf
https://github.com/jibo27/memdeblur
true
true
true
pytorch
https://paperswithcode.com/paper/far-from-asymptopia
Far from Asymptopia
2205.03343
https://arxiv.org/abs/2205.03343v2
https://arxiv.org/pdf/2205.03343v2.pdf
https://github.com/mcabbott/atomicpriors.jl
true
true
true
none
https://paperswithcode.com/paper/llm-based-multi-agent-generation-of-semi
LLM Based Multi-Agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domain
2402.14871
https://arxiv.org/abs/2402.14871v1
https://arxiv.org/pdf/2402.14871v1.pdf
https://github.com/michelebri/multi_agent_document_generation
true
false
true
none
https://paperswithcode.com/paper/two-metrics-on-rooted-unordered-trees-with
Two Metrics on Rooted Unordered Trees with Labels
2103.11553
https://arxiv.org/abs/2103.11553v3
https://arxiv.org/pdf/2103.11553v3.pdf
https://github.com/yuewangmathbio/treemetric
true
true
true
none
https://paperswithcode.com/paper/pointdistiller-structured-knowledge
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
2205.11098
https://arxiv.org/abs/2205.11098v1
https://arxiv.org/pdf/2205.11098v1.pdf
https://github.com/runpeidong/pointdistiller
true
true
true
pytorch
https://paperswithcode.com/paper/pre-trained-vision-language-models-learn
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
2404.12652
https://arxiv.org/abs/2404.12652v2
https://arxiv.org/pdf/2404.12652v2.pdf
https://github.com/brown-palm/concept-discovery-and-learning
true
true
false
pytorch
https://paperswithcode.com/paper/teaching-programming-to-novices-using-the
Teaching Programming to Novices Using the codeBoot Online Environment
2207.12702
https://arxiv.org/abs/2207.12702v1
https://arxiv.org/pdf/2207.12702v1.pdf
https://github.com/udem-dlteam/codeboot
true
true
false
none
https://paperswithcode.com/paper/what-causes-optical-flow-networks-to-be
Towards Understanding Adversarial Robustness of Optical Flow Networks
2103.16255
https://arxiv.org/abs/2103.16255v3
https://arxiv.org/pdf/2103.16255v3.pdf
https://github.com/lmb-freiburg/understanding_flow_robustness
true
true
true
pytorch
https://paperswithcode.com/paper/hierarchical-consistency-regularized-mean
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
2105.10369
https://arxiv.org/abs/2105.10369v2
https://arxiv.org/pdf/2105.10369v2.pdf
https://github.com/jacobzhaoziyuan/HCR-MT
true
false
true
pytorch
https://paperswithcode.com/paper/fully-steerable-3d-spherical-neurons
Steerable 3D Spherical Neurons
2106.13863
https://arxiv.org/abs/2106.13863v7
https://arxiv.org/pdf/2106.13863v7.pdf
https://github.com/pavlo-melnyk/steerable-3d-neurons
true
true
true
pytorch
https://paperswithcode.com/paper/boxdiff-text-to-image-synthesis-with-training
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
2307.10816
https://arxiv.org/abs/2307.10816v4
https://arxiv.org/pdf/2307.10816v4.pdf
https://github.com/showlab/boxdiff
true
true
true
pytorch
https://paperswithcode.com/paper/supracentrality-analysis-of-temporal-networks
Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling
1906.06366
http://arxiv.org/abs/1906.06366v2
http://arxiv.org/pdf/1906.06366v2.pdf
https://github.com/taylordr/supracentrality
false
false
true
none
https://paperswithcode.com/paper/190402059
Tunable Eigenvector-Based Centralities for Multiplex and Temporal Networks
1904.02059
http://arxiv.org/abs/1904.02059v1
http://arxiv.org/pdf/1904.02059v1.pdf
https://github.com/taylordr/supracentrality
true
true
true
none
https://paperswithcode.com/paper/mascara-systematically-generating-memorable
MASCARA: Systematically Generating Memorable And Secure Passphrases
2303.09150
https://arxiv.org/abs/2303.09150v1
https://arxiv.org/pdf/2303.09150v1.pdf
https://github.com/mainack/mascara-passphrase-code-data
true
true
false
none
https://paperswithcode.com/paper/representation-learning-with-contrastive
Representation Learning with Contrastive Predictive Coding
1807.03748
http://arxiv.org/abs/1807.03748v2
http://arxiv.org/pdf/1807.03748v2.pdf
https://github.com/chorowski-lab/hcpc
false
false
true
pytorch
https://paperswithcode.com/paper/effective-explanations-for-entity-resolution
Effective Explanations for Entity Resolution Models
2203.12978
https://arxiv.org/abs/2203.12978v2
https://arxiv.org/pdf/2203.12978v2.pdf
https://github.com/tteofili/certa
true
true
true
pytorch
https://paperswithcode.com/paper/voxel-field-fusion-for-3d-object-detection
Voxel Field Fusion for 3D Object Detection
2205.15938
https://arxiv.org/abs/2205.15938v1
https://arxiv.org/pdf/2205.15938v1.pdf
https://github.com/dvlab-research/vff
true
true
true
pytorch
https://paperswithcode.com/paper/libensemble-a-library-to-coordinate-the
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations
2104.08322
https://arxiv.org/abs/2104.08322v1
https://arxiv.org/pdf/2104.08322v1.pdf
https://github.com/Libensemble/libensemble
false
false
true
none
https://paperswithcode.com/paper/toward-large-kernel-models
Toward Large Kernel Models
2302.02605
https://arxiv.org/abs/2302.02605v3
https://arxiv.org/pdf/2302.02605v3.pdf
https://github.com/eigenpro/eigenpro3
true
true
true
pytorch
https://paperswithcode.com/paper/u-net-convolutional-networks-for-biomedical
U-Net: Convolutional Networks for Biomedical Image Segmentation
1505.04597
http://arxiv.org/abs/1505.04597v1
http://arxiv.org/pdf/1505.04597v1.pdf
https://github.com/VedantDere0104/Pix2Pix_GAN
false
false
true
none
https://paperswithcode.com/paper/boosting-out-of-distribution-detection-with-1
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
2212.12720
https://arxiv.org/abs/2212.12720v2
https://arxiv.org/pdf/2212.12720v2.pdf
https://github.com/mapleleaf6/zode
true
false
false
pytorch
https://paperswithcode.com/paper/electrical-impedance-tomography-with-deep
Electrical Impedance Tomography with Deep Calderón Method
2304.09074
https://arxiv.org/abs/2304.09074v2
https://arxiv.org/pdf/2304.09074v2.pdf
https://github.com/kwancheolshin/deep-calderon-method
true
true
false
tf
https://paperswithcode.com/paper/supmae-supervised-masked-autoencoders-are
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
2205.14540
https://arxiv.org/abs/2205.14540v3
https://arxiv.org/pdf/2205.14540v3.pdf
https://github.com/cmu-enyac/supmae
true
true
true
pytorch
https://paperswithcode.com/paper/the-curious-layperson-fine-grained-image
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
2111.03651
https://arxiv.org/abs/2111.03651v1
https://arxiv.org/pdf/2111.03651v1.pdf
https://github.com/subhc/clever
true
true
true
pytorch
https://paperswithcode.com/paper/sharp-shielding-aware-robust-planning-for
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
2110.00843
https://arxiv.org/abs/2110.00843v3
https://arxiv.org/pdf/2110.00843v3.pdf
https://github.com/saferoboticslab/sharp
true
true
true
none
https://paperswithcode.com/paper/unsupervised-cross-lingual-representation-1
Unsupervised Cross-lingual Representation Learning at Scale
1911.02116
https://arxiv.org/abs/1911.02116v2
https://arxiv.org/pdf/1911.02116v2.pdf
https://github.com/deepset-ai/FARM
false
false
true
pytorch
https://paperswithcode.com/paper/semantic-conditional-diffusion-networks-for
Semantic-Conditional Diffusion Networks for Image Captioning
2212.03099
https://arxiv.org/abs/2212.03099v1
https://arxiv.org/pdf/2212.03099v1.pdf
https://github.com/yehli/xmodaler
true
true
false
pytorch
https://paperswithcode.com/paper/active-uncertainty-learning-for-human-robot
Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach
2202.07720
https://arxiv.org/abs/2202.07720v2
https://arxiv.org/pdf/2202.07720v2.pdf
https://github.com/saferoboticslab/sharp
false
false
true
none
https://paperswithcode.com/paper/tpc-transformation-specific-smoothing-for
TPC: Transformation-Specific Smoothing for Point Cloud Models
2201.12733
https://arxiv.org/abs/2201.12733v5
https://arxiv.org/pdf/2201.12733v5.pdf
https://github.com/qianhewu/point-cloud-smoothing
true
true
true
pytorch
https://paperswithcode.com/paper/activeaed-a-human-in-the-loop-improves
ActiveAED: A Human in the Loop Improves Annotation Error Detection
2305.20045
https://arxiv.org/abs/2305.20045v1
https://arxiv.org/pdf/2305.20045v1.pdf
https://github.com/mainlp/activeaed
true
true
false
pytorch
https://paperswithcode.com/paper/one-step-detection-paradigm-for-hyperspectral
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
2303.12342
https://arxiv.org/abs/2303.12342v1
https://arxiv.org/pdf/2303.12342v1.pdf
https://github.com/Jingtao-Li-CVer/TDD
true
false
true
pytorch
https://paperswithcode.com/paper/linearity-grafting-relaxed-neuron-pruning
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
2206.07839
https://arxiv.org/abs/2206.07839v1
https://arxiv.org/pdf/2206.07839v1.pdf
https://github.com/vita-group/linearity-grafting
true
true
false
pytorch
https://paperswithcode.com/paper/lightseq-accelerated-training-for-transformer
LightSeq2: Accelerated Training for Transformer-based Models on GPUs
2110.05722
https://arxiv.org/abs/2110.05722v3
https://arxiv.org/pdf/2110.05722v3.pdf
https://github.com/bytedance/lightseq
true
true
false
tf
https://paperswithcode.com/paper/variational-counterdiabatic-driving-of-the
Variational counterdiabatic driving of the Hubbard model for ground-state preparation
2206.07597
https://arxiv.org/abs/2206.07597v2
https://arxiv.org/pdf/2206.07597v2.pdf
https://github.com/qx20211202/hubbardcd
true
true
true
none
https://paperswithcode.com/paper/self-supervised-learning-for-contextualized
Self-Supervised Learning for Contextualized Extractive Summarization
1906.04466
https://arxiv.org/abs/1906.04466v1
https://arxiv.org/pdf/1906.04466v1.pdf
https://github.com/minsoo9506/NLP-study
false
false
true
pytorch
https://paperswithcode.com/paper/sequence-to-sequence-learning-with-neural
Sequence to Sequence Learning with Neural Networks
1409.3215
http://arxiv.org/abs/1409.3215v3
http://arxiv.org/pdf/1409.3215v3.pdf
https://github.com/minsoo9506/NLP-study
false
false
true
pytorch
https://paperswithcode.com/paper/efficient-estimation-of-word-representations
Efficient Estimation of Word Representations in Vector Space
1301.3781
http://arxiv.org/abs/1301.3781v3
http://arxiv.org/pdf/1301.3781v3.pdf
https://github.com/minsoo9506/NLP-study
false
false
true
pytorch
https://paperswithcode.com/paper/quantum-circuit-autoencoder
Quantum Circuit AutoEncoder
2307.08446
https://arxiv.org/abs/2307.08446v2
https://arxiv.org/pdf/2307.08446v2.pdf
https://github.com/linke-quantum/qcae-master
true
true
false
mindspore
https://paperswithcode.com/paper/soft-actor-critic-off-policy-maximum-entropy
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
1801.01290
http://arxiv.org/abs/1801.01290v2
http://arxiv.org/pdf/1801.01290v2.pdf
https://github.com/facebookresearch/rl/blob/main/examples/sac/sac.py
false
false
false
jax
https://paperswithcode.com/paper/label-and-distribution-discriminative-dual
Dual Representation Learning for Out-of-Distribution Detection
2206.09387
https://arxiv.org/abs/2206.09387v2
https://arxiv.org/pdf/2206.09387v2.pdf
https://github.com/lawliet-zzl/drl
true
true
false
pytorch
https://paperswithcode.com/paper/efficient-and-robust-approximate-nearest
Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
1603.09320
http://arxiv.org/abs/1603.09320v4
http://arxiv.org/pdf/1603.09320v4.pdf
https://github.com/evan176/hnswgo
false
false
true
none
https://paperswithcode.com/paper/agent-based-graph-neural-networks
Agent-based Graph Neural Networks
2206.11010
https://arxiv.org/abs/2206.11010v2
https://arxiv.org/pdf/2206.11010v2.pdf
https://github.com/karolismart/agentnet
true
true
true
pytorch
https://paperswithcode.com/paper/parametrization-of-gamma-ray-production-cross
Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies
1406.7369
https://arxiv.org/abs/1406.7369v2
https://arxiv.org/pdf/1406.7369v2.pdf
https://github.com/ervinkafex/LibppGam
false
false
true
none
https://paperswithcode.com/paper/application-of-a-hybrid-bi-lstm-crf-model-to
Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition
1709.09686
http://arxiv.org/abs/1709.09686v2
http://arxiv.org/pdf/1709.09686v2.pdf
https://github.com/deepmipt/ner
false
false
true
tf
https://paperswithcode.com/paper/a-context-integrated-transformer-based-neural
A Context-Integrated Transformer-Based Neural Network for Auction Design
2201.12489
https://arxiv.org/abs/2201.12489v3
https://arxiv.org/pdf/2201.12489v3.pdf
https://github.com/zjduan/CITransNet
true
true
true
pytorch
https://paperswithcode.com/paper/dataperf-benchmarks-for-data-centric-ai-1
DataPerf: Benchmarks for Data-Centric AI Development
2207.10062
https://arxiv.org/abs/2207.10062v4
https://arxiv.org/pdf/2207.10062v4.pdf
https://github.com/mlcommons/dataperf
true
true
false
tf
https://paperswithcode.com/paper/a-permutation-equivariant-neural-network
A Permutation-Equivariant Neural Network Architecture For Auction Design
2003.01497
https://arxiv.org/abs/2003.01497v4
https://arxiv.org/pdf/2003.01497v4.pdf
https://github.com/zjduan/CITransNet
false
false
true
pytorch
https://paperswithcode.com/paper/plingo-a-system-for-probabilistic-reasoning
plingo: A system for probabilistic reasoning in clingo based on lpmln
2206.11515
https://arxiv.org/abs/2206.11515v4
https://arxiv.org/pdf/2206.11515v4.pdf
https://github.com/potassco/plingo
true
true
false
none
https://paperswithcode.com/paper/objective-robustness-in-deep-reinforcement
Goal Misgeneralization in Deep Reinforcement Learning
2105.14111
https://arxiv.org/abs/2105.14111v7
https://arxiv.org/pdf/2105.14111v7.pdf
https://github.com/JacobPfau/procgenAISC
true
true
true
pytorch
https://paperswithcode.com/paper/keras-gpt-copilot-integrating-the-power-of
Keras GPT Copilot: Integrating the Power of Large Language Models in Deep Learning Model Development
null
https://doi.org/10.5281/zenodo.7935183
https://doi.org/10.5281/zenodo.7935183
https://github.com/fabprezja/keras-gpt-copilot
true
false
false
tf
https://paperswithcode.com/paper/diffusion-deformable-model-for-4d-temporal
Diffusion Deformable Model for 4D Temporal Medical Image Generation
2206.13295
https://arxiv.org/abs/2206.13295v1
https://arxiv.org/pdf/2206.13295v1.pdf
https://github.com/torchddm/ddm
true
true
false
pytorch
https://paperswithcode.com/paper/tracer-extreme-attention-guided-salient
TRACER: Extreme Attention Guided Salient Object Tracing Network
2112.07380
https://arxiv.org/abs/2112.07380v2
https://arxiv.org/pdf/2112.07380v2.pdf
https://github.com/Karel911/TRACER
true
true
true
pytorch
https://paperswithcode.com/paper/optimizing-task-waiting-times-in-dynamic
Optimizing Task Waiting Times in Dynamic Vehicle Routing
2307.03984
https://arxiv.org/abs/2307.03984v1
https://arxiv.org/pdf/2307.03984v1.pdf
https://github.com/arminsadeghi/mdvrp-optimal-policy
true
true
false
none
https://paperswithcode.com/paper/tico-transformation-invariance-and-covariance
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
2206.10698
https://arxiv.org/abs/2206.10698v2
https://arxiv.org/pdf/2206.10698v2.pdf
https://github.com/sayannag/TiCo-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/refined-semantic-enhancement-towards
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning
2211.15076
https://arxiv.org/abs/2211.15076v2
https://arxiv.org/pdf/2211.15076v2.pdf
https://github.com/lzp870/rsfd
true
true
true
pytorch
https://paperswithcode.com/paper/self-supervised-semantic-segmentation-1
Self-supervised Semantic Segmentation: Consistency over Transformation
2309.00143
https://arxiv.org/abs/2309.00143v1
https://arxiv.org/pdf/2309.00143v1.pdf
https://github.com/mindflow-institue/ssct
true
true
true
pytorch
https://paperswithcode.com/paper/machine-learning-the-trilinear-and-light
Machine learning the trilinear and light-quark Yukawa couplings from Higgs pair kinematic shapes
2207.04157
https://arxiv.org/abs/2207.04157v2
https://arxiv.org/pdf/2207.04157v2.pdf
https://github.com/talismanbrandi/IML-diHiggs
true
true
true
none
https://paperswithcode.com/paper/normalizing-flows-on-tori-and-spheres
Normalizing Flows on Tori and Spheres
2002.02428
https://arxiv.org/abs/2002.02428v2
https://arxiv.org/pdf/2002.02428v2.pdf
https://github.com/ryushinn/flows-on-sphere
false
false
true
pytorch
https://paperswithcode.com/paper/adapterhub-a-framework-for-adapting
AdapterHub: A Framework for Adapting Transformers
2007.07779
https://arxiv.org/abs/2007.07779v3
https://arxiv.org/pdf/2007.07779v3.pdf
https://github.com/parovicm/badx
false
false
true
jax
https://paperswithcode.com/paper/automatic-pull-request-title-generation
Automatic Pull Request Title Generation
2206.10430
https://arxiv.org/abs/2206.10430v2
https://arxiv.org/pdf/2206.10430v2.pdf
https://github.com/soarsmu/prtiger
true
true
false
pytorch
https://paperswithcode.com/paper/trajectron-multi-agent-generative-trajectory
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
2001.03093
https://arxiv.org/abs/2001.03093v5
https://arxiv.org/pdf/2001.03093v5.pdf
https://github.com/nvr-avg/adaptive-prediction
false
false
true
pytorch
https://paperswithcode.com/paper/neural-networks-on-random-graphs
Analyzing Neural Networks Based on Random Graphs
2002.08104
https://arxiv.org/abs/2002.08104v3
https://arxiv.org/pdf/2002.08104v3.pdf
https://github.com/rmldj/random-graph-nn-paper
true
true
true
pytorch
https://paperswithcode.com/paper/the-problem-of-human-label-variation-on
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
2211.02570
https://arxiv.org/abs/2211.02570v1
https://arxiv.org/pdf/2211.02570v1.pdf
https://github.com/mainlp/awesome-human-label-variation
true
true
true
none
https://paperswithcode.com/paper/masked-autoencoders-that-listen
Masked Autoencoders that Listen
2207.06405
https://arxiv.org/abs/2207.06405v3
https://arxiv.org/pdf/2207.06405v3.pdf
https://github.com/facebookresearch/audiomae
true
true
true
pytorch
https://paperswithcode.com/paper/a-tutorial-on-time-dependent-cohort-state
A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example
2108.13552
https://arxiv.org/abs/2108.13552v2
https://arxiv.org/pdf/2108.13552v2.pdf
https://github.com/DARTH-git/cohort-modeling-tutorial-timedep
true
true
true
none
https://paperswithcode.com/paper/pidloc-cross-view-pose-optimization-network
PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
null
http://openaccess.thecvf.com//content/CVPR2025/html/Lee_PIDLoc_Cross-View_Pose_Optimization_Network_Inspired_by_PID_Controllers_CVPR_2025_paper.html
http://openaccess.thecvf.com//content/CVPR2025/papers/Lee_PIDLoc_Cross-View_Pose_Optimization_Network_Inspired_by_PID_Controllers_CVPR_2025_paper.pdf
https://github.com/url-kaist/pidloc
true
true
false
none
https://paperswithcode.com/paper/real-world-image-dehazing-with-improved-joint
Real-world image dehazing with improved joint enhancement and exposure fusion
null
https://www.sciencedirect.com/science/article/pii/S1047320322002401
https://www.sciencedirect.com/science/article/pii/S1047320322002401
https://github.com/nhk21/Real-world-image-dehazing-with-improved-joint-enhancement-and-exposure-fusion
true
false
false
none
https://paperswithcode.com/paper/a-k-cdot-p-effective-hamiltonian-generator
A $k\cdot p$ effective Hamiltonian generator
2104.08493
https://arxiv.org/abs/2104.08493v1
https://arxiv.org/pdf/2104.08493v1.pdf
https://github.com/yjiang-iop/kdotp-generator
true
true
true
none
https://paperswithcode.com/paper/custom-pretrainings-and-adapted-3d-convnext
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings
2206.15073
https://arxiv.org/abs/2206.15073v2
https://arxiv.org/pdf/2206.15073v2.pdf
https://github.com/kiedani/submission_2nd_covid19_competition
true
true
false
pytorch
https://paperswithcode.com/paper/motion-style-transfer-modular-low-rank
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
2211.03165
https://arxiv.org/abs/2211.03165v1
https://arxiv.org/pdf/2211.03165v1.pdf
https://github.com/vita-epfl/motion-style-transfer
true
true
false
pytorch
https://paperswithcode.com/paper/skeleton-based-action-recognition-via
Skeleton-based Action Recognition via Temporal-Channel Aggregation
2205.15936
https://arxiv.org/abs/2205.15936v2
https://arxiv.org/pdf/2205.15936v2.pdf
https://github.com/OrdinaryQin/TCA-GCN
true
false
true
pytorch
https://paperswithcode.com/paper/building-a-relation-extraction-baseline-for
Building a Relation Extraction Baseline for Gene-Disease Associations: A Reproducibility Study
2207.06226
https://arxiv.org/abs/2207.06226v1
https://arxiv.org/pdf/2207.06226v1.pdf
https://github.com/mntlra/dexter
true
true
false
none
https://paperswithcode.com/paper/voxel-r-cnn-towards-high-performance-voxel
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
2012.15712
https://arxiv.org/abs/2012.15712v2
https://arxiv.org/pdf/2012.15712v2.pdf
https://github.com/open-mmlab/OpenPCDet
true
true
true
pytorch
https://paperswithcode.com/paper/mppnet-multi-frame-feature-intertwining-with
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection
2205.05979
https://arxiv.org/abs/2205.05979v2
https://arxiv.org/pdf/2205.05979v2.pdf
https://github.com/open-mmlab/OpenPCDet
true
true
true
pytorch
https://paperswithcode.com/paper/spatial-aggregation-with-respect-to-a
Spatial Aggregation with Respect to a Population Distribution
2207.06700
https://arxiv.org/abs/2207.06700v1
https://arxiv.org/pdf/2207.06700v1.pdf
https://github.com/paigejo/summer
true
true
false
none
https://paperswithcode.com/paper/a-little-fog-for-a-large-turn
A Little Fog for a Large Turn
2001.05873
https://arxiv.org/abs/2001.05873v1
https://arxiv.org/pdf/2001.05873v1.pdf
https://github.com/SullyChen/Autopilot-TensorFlow
false
false
true
tf
https://paperswithcode.com/paper/tt-ggxy-a-flexible-library-to-compute-gluon
{\tt ggxy}: a flexible library to compute gluon-induced cross sections
2506.04323
https://arxiv.org/abs/2506.04323v1
https://arxiv.org/pdf/2506.04323v1.pdf
https://gitlab.com/ggxy/ggxy-release
true
true
true
none
https://paperswithcode.com/paper/evaluating-coreference-resolvers-on-community
Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the Art
null
https://aclanthology.org/2022.crac-1.7
https://aclanthology.org/2022.crac-1.7.pdf
https://github.com/haixiachai/coref_cqa
true
true
false
tf
https://paperswithcode.com/paper/improving-bridging-reference-resolution-using
Improving Bridging Reference Resolution using Continuous Essentiality from Crowdsourcing
null
https://aclanthology.org/2022.crac-1.8
https://aclanthology.org/2022.crac-1.8.pdf
https://github.com/nobu-g/bridging-resolution
true
true
false
pytorch
https://paperswithcode.com/paper/watermark-vaccine-adversarial-attacks-to
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
2207.08178
https://arxiv.org/abs/2207.08178v1
https://arxiv.org/pdf/2207.08178v1.pdf
https://github.com/thinwayliu/watermark-vaccine
true
true
true
pytorch
https://paperswithcode.com/paper/learning-to-infer-from-unlabeled-data-a-semi
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
2211.02971
https://arxiv.org/abs/2211.02971v1
https://arxiv.org/pdf/2211.02971v1.pdf
https://github.com/msadat3/ssl_for_nli
true
true
false
pytorch
https://paperswithcode.com/paper/semi-supervised-vision-transformers
Semi-Supervised Vision Transformers
2111.11067
https://arxiv.org/abs/2111.11067v2
https://arxiv.org/pdf/2111.11067v2.pdf
https://github.com/wengzejia1/semiformer
true
true
true
pytorch
https://paperswithcode.com/paper/does-thermal-data-make-the-detection-systems
Does Thermal data make the detection systems more reliable?
2111.05191
https://arxiv.org/abs/2111.05191v1
https://arxiv.org/pdf/2111.05191v1.pdf
https://github.com/neurai-lab/mmc
true
true
true
pytorch