Datasets:
cfahlgren1
/
links-between-papers-and-code

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/robotic-pick-and-place-of-novel-objects-in
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
1710.01330
https://arxiv.org/abs/1710.01330v5
https://arxiv.org/pdf/1710.01330v5.pdf
https://github.com/andyzeng/arc-robot-vision
true
false
true
torch
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/MLH-Fellowship/Social-BERTerfly
false
false
true
tf
https://paperswithcode.com/paper/automatic-differentiation-of-sylvester
Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations
2011.11430
https://arxiv.org/abs/2011.11430v2
https://arxiv.org/pdf/2011.11430v2.pdf
https://github.com/tachukao/autodiff-inverse-lqr
true
true
true
none
https://paperswithcode.com/paper/sensing-ambiguity-in-henry-james-the-turn-of
Sensing Ambiguity in Henry James' "The Turn of the Screw"
2011.10832
https://arxiv.org/abs/2011.10832v1
https://arxiv.org/pdf/2011.10832v1.pdf
https://github.com/vicmak/TurnOfTheScrew
true
true
false
none
https://paperswithcode.com/paper/two-stage-generative-adversarial-networks-for
Two-stage generative adversarial networks for document image binarization with color noise and background removal
2010.10103
https://arxiv.org/abs/2010.10103v3
https://arxiv.org/pdf/2010.10103v3.pdf
https://github.com/opensuh/DocumentBinarization
true
true
true
pytorch
https://paperswithcode.com/paper/supervised-edge-attention-network-for
Supervised Edge Attention Network for Accurate Image Instance Segmentation
null
https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/5884_ECCV_2020_paper.php
https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720613.pdf
https://github.com/IPIU-detection/SEANet
true
false
false
pytorch
https://paperswithcode.com/paper/teacher-student-consistency-for-multi-source
Teacher-Student Consistency For Multi-Source Domain Adaptation
2010.10054
https://arxiv.org/abs/2010.10054v1
https://arxiv.org/pdf/2010.10054v1.pdf
https://github.com/amosy3/MUST
true
true
false
pytorch
https://paperswithcode.com/paper/mesh-denoising-with-facet-graph-convolutions
Mesh Denoising with Facet Graph Convolutions
null
https://github.com/Elensil/Facet_Graph_Convolution#abstract
https://hal.inria.fr/hal-03066322
https://github.com/Elensil/Facet_Graph_Convolution
false
false
false
tf
https://paperswithcode.com/paper/counterfactual-multi-agent-policy-gradients
Counterfactual Multi-Agent Policy Gradients
1705.08926
https://arxiv.org/abs/1705.08926v3
https://arxiv.org/pdf/1705.08926v3.pdf
https://github.com/opendilab/DI-engine/blob/main/ding/policy/coma.py
false
false
false
pytorch
https://paperswithcode.com/paper/confnet2seq-full-length-answer-generation
ConfNet2Seq: Full Length Answer Generation from Spoken Questions
2006.05163
https://arxiv.org/abs/2006.05163v2
https://arxiv.org/pdf/2006.05163v2.pdf
https://github.com/kolk/ConfnetPointerGenBaseline
true
true
true
pytorch
https://paperswithcode.com/paper/mmdetection-open-mmlab-detection-toolbox-and
MMDetection: Open MMLab Detection Toolbox and Benchmark
1906.07155
https://arxiv.org/abs/1906.07155v1
https://arxiv.org/pdf/1906.07155v1.pdf
https://github.com/IPIU-detection/SEANet
false
false
true
pytorch
https://paperswithcode.com/paper/joint-multi-leaf-segmentation-alignment-and
Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos
1505.00353
http://arxiv.org/abs/1505.00353v2
http://arxiv.org/pdf/1505.00353v2.pdf
https://github.com/xiyinmsu/PlantVision
true
false
false
none
https://paperswithcode.com/paper/meta-reinforcement-learning-by-tracking-task
Meta-Reinforcement Learning by Tracking Task Non-stationarity
2105.08834
https://arxiv.org/abs/2105.08834v1
https://arxiv.org/pdf/2105.08834v1.pdf
https://github.com/riccardopoiani/trio-non-stationary-meta-rl
true
true
false
pytorch
https://paperswithcode.com/paper/rotate-to-attend-convolutional-triplet
Rotate to Attend: Convolutional Triplet Attention Module
2010.03045
https://arxiv.org/abs/2010.03045v2
https://arxiv.org/pdf/2010.03045v2.pdf
https://github.com/LandskapeAI/triplet-attention
true
true
true
pytorch
https://paperswithcode.com/paper/efficient-sampling-policy-for-selecting-a
Efficient Sampling Policy for Selecting a Good Enough Subset
2111.14534
https://arxiv.org/abs/2111.14534v1
https://arxiv.org/pdf/2111.14534v1.pdf
https://github.com/gongbozhang-pku/Good-Enough-Selection
true
false
false
none
https://paperswithcode.com/paper/autofocus-layer-for-semantic-segmentation
Autofocus Layer for Semantic Segmentation
1805.08403
http://arxiv.org/abs/1805.08403v3
http://arxiv.org/pdf/1805.08403v3.pdf
https://github.com/luvgold/auotofoucus3D-Brats
false
false
true
tf
https://paperswithcode.com/paper/bengali-abstractive-news-summarization-bans-a
Bengali Abstractive News Summarization(BANS): A Neural Attention Approach
2012.01747
https://arxiv.org/abs/2012.01747v1
https://arxiv.org/pdf/2012.01747v1.pdf
https://github.com/Prithwiraj12/Bengali-Deep-News-Summarization
true
true
false
tf
https://paperswithcode.com/paper/transferable-visual-words-exploiting-the
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
2102.10680
https://arxiv.org/abs/2102.10680v1
https://arxiv.org/pdf/2102.10680v1.pdf
https://github.com/JLiangLab/TransVW
true
true
true
pytorch
https://paperswithcode.com/paper/locally-checkable-problems-in-rooted-trees
Locally Checkable Problems in Rooted Trees
2102.09277
https://arxiv.org/abs/2102.09277v5
https://arxiv.org/pdf/2102.09277v5.pdf
https://github.com/jendas1/rooted-tree-classifier
true
true
false
none
https://paperswithcode.com/paper/sprint-ultrafast-protein-protein-interaction
SPRINT: Ultrafast protein-protein interaction prediction of the entire human interactome
1705.06848
http://arxiv.org/abs/1705.06848v1
http://arxiv.org/pdf/1705.06848v1.pdf
https://github.com/lucian-ilie/SPRINT
true
true
false
none
https://paperswithcode.com/paper/profiler-a-fast-and-versatile-new-program-for
$Profiler$ - A Fast and Versatile New Program for Decomposing Galaxy Light Profiles
1607.08620
http://arxiv.org/abs/1607.08620v1
http://arxiv.org/pdf/1607.08620v1.pdf
https://github.com/BogdanCiambur/PROFILER
true
true
false
none
https://paperswithcode.com/paper/cell-veto-monte-carlo-algorithm-for-long
Cell-veto Monte Carlo algorithm for long-range systems
1606.06780
http://arxiv.org/abs/1606.06780v2
http://arxiv.org/pdf/1606.06780v2.pdf
https://github.com/Cell-veto/postlhc
true
true
false
none
https://paperswithcode.com/paper/an-accelerometer-based-calculator-for
An Accelerometer Based Calculator for Visually Impaired People Using Mobile Devices
1604.07660
http://arxiv.org/abs/1604.07660v1
http://arxiv.org/pdf/1604.07660v1.pdf
https://github.com/ereneld/accelerometerbasedcalculatorios
true
true
false
none
https://paperswithcode.com/paper/identification-of-port-hamiltonian-systems
Identification of Port-Hamiltonian Systems from Frequency Response Data
1911.00080
https://arxiv.org/abs/1911.00080v1
https://arxiv.org/pdf/1911.00080v1.pdf
https://github.com/mpimd-csc/Identify_PortHamiltonian_Realization
false
false
true
none
https://paperswithcode.com/paper/using-gaia-dr2-to-constrain-local-dark-matter
Using Gaia DR2 to Constrain Local Dark Matter Density and Thin Dark Disk
1808.05603
https://arxiv.org/abs/1808.05603v2
https://arxiv.org/pdf/1808.05603v2.pdf
https://github.com/bbsonjohn/darkdisk
false
false
true
none
https://paperswithcode.com/paper/githru-visual-analytics-for-understanding
Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis
2009.03115
https://arxiv.org/abs/2009.03115v2
https://arxiv.org/pdf/2009.03115v2.pdf
https://github.com/githru/githru
true
true
true
none
https://paperswithcode.com/paper/a-gaia-dr2-view-of-the-open-cluster
A Gaia DR2 view of the Open Cluster population in the Milky Way
1805.08726
https://arxiv.org/abs/1805.08726v2
https://arxiv.org/pdf/1805.08726v2.pdf
https://github.com/ignotur/Random-forest-open-cluster
false
false
true
none
https://paperswithcode.com/paper/on-hypothesis-testing-trials-factor
On hypothesis testing, trials factor, hypertests and the BumpHunter
1101.0390
https://arxiv.org/abs/1101.0390v2
https://arxiv.org/pdf/1101.0390v2.pdf
https://github.com/lovaslin/pyBumpHunter
false
false
true
none
https://paperswithcode.com/paper/client-based-control-channel-analysis-for
Client-Based Control Channel Analysis for Connectivity Estimation in LTE Networks
1701.03304
https://arxiv.org/abs/1701.03304v1
https://arxiv.org/pdf/1701.03304v1.pdf
https://github.com/falkenber9/falcon
false
false
true
none
https://paperswithcode.com/paper/discover-your-competition-in-lte-client-based
Discover Your Competition in LTE: Client-Based Passive Data Rate Prediction by Machine Learning
1711.06820
https://arxiv.org/abs/1711.06820v2
https://arxiv.org/pdf/1711.06820v2.pdf
https://github.com/falkenber9/falcon
false
false
true
none
https://paperswithcode.com/paper/problem-agnostic-speech-embeddings-for-multi
Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN
1906.00733
https://arxiv.org/abs/1906.00733v3
https://arxiv.org/pdf/1906.00733v3.pdf
https://github.com/santi-pdp/pase
false
false
true
pytorch
https://paperswithcode.com/paper/mugnet-multi-resolution-graph-neural-network
MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation
null
https://arxiv.org/abs/2009.08924?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%253A+arxiv%252FQSXk+%2528ExcitingAds%2521+cs+updates+on+arXiv.org%2529
https://arxiv.org/abs/2009.08924?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%253A+arxiv%252FQSXk+%2528ExcitingAds%2521+cs+updates+on+arXiv.org%2529
https://github.com/liuyuex97/MuGNet
true
false
false
pytorch
https://paperswithcode.com/paper/implementing-perceptron-models-with-qubits
Implementing perceptron models with qubits
1905.06728
https://arxiv.org/abs/1905.06728v2
https://arxiv.org/pdf/1905.06728v2.pdf
https://github.com/therooler/pennylane-qllh
false
false
true
tf
https://paperswithcode.com/paper/faster-family-wise-error-control-for
Faster Family-wise Error Control for Neuroimaging with a Parametric Bootstrap
1708.05037
http://arxiv.org/abs/1708.05037v2
http://arxiv.org/pdf/1708.05037v2.pdf
https://bitbucket.org/simonvandekar/param-boot
true
true
false
none
https://paperswithcode.com/paper/decentralized-baseband-processing-for-massive
Decentralized Baseband Processing for Massive MU-MIMO Systems
1702.04458
http://arxiv.org/abs/1702.04458v2
http://arxiv.org/pdf/1702.04458v2.pdf
https://github.com/VIP-Group/DBP
true
true
false
none
https://paperswithcode.com/paper/aerial-imagery-pixel-level-segmentation
Aerial Imagery Pixel-level Segmentation
2012.02024
https://arxiv.org/abs/2012.02024v1
https://arxiv.org/pdf/2012.02024v1.pdf
https://github.com/mrheffels/aerial-imagery-segmentation
true
true
false
tf
https://paperswithcode.com/paper/on-the-adoption-usage-and-evolution-of-kotlin
On the adoption, usage and evolution of Kotlin Features on Android development
1907.09003
http://arxiv.org/abs/1907.09003v3
http://arxiv.org/pdf/1907.09003v3.pdf
https://github.com/UPHF/kotlin_features
true
true
false
none
https://paperswithcode.com/paper/deep-learning-to-generate-in-silico-chemical
Deep learning to generate in silico chemical property libraries and candidate molecules for small molecule identification in complex samples
1905.08411
http://arxiv.org/abs/1905.08411v1
http://arxiv.org/pdf/1905.08411v1.pdf
https://github.com/pnnl/darkchem
true
true
false
tf
https://paperswithcode.com/paper/rowhammer-and-beyond
RowHammer and Beyond
1903.11056
http://arxiv.org/abs/1903.11056v1
http://arxiv.org/pdf/1903.11056v1.pdf
https://github.com/google/rowhammer-test
true
true
false
none
https://paperswithcode.com/paper/radynversion-learning-to-invert-a-solar-flare
RADYNVERSION: Learning to Invert a Solar Flare Atmosphere with Invertible Neural Networks
1901.08626
http://arxiv.org/abs/1901.08626v2
http://arxiv.org/pdf/1901.08626v2.pdf
https://github.com/Goobley/Radynversion
true
true
false
pytorch
https://paperswithcode.com/paper/arja-automated-repair-of-java-programs-via
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
1712.07804
http://arxiv.org/abs/1712.07804v1
http://arxiv.org/pdf/1712.07804v1.pdf
https://github.com/yyxhdy/SeededBugs
true
true
false
none
https://paperswithcode.com/paper/kern
KERN
1710.09145
http://arxiv.org/abs/1710.09145v1
http://arxiv.org/pdf/1710.09145v1.pdf
https://github.com/ska-sa/meqtrees-cattery
true
true
false
none
https://paperswithcode.com/paper/re-run-repeat-reproduce-reuse-replicate
Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions
1708.08205
https://arxiv.org/abs/1708.08205v2
https://arxiv.org/pdf/1708.08205v2.pdf
https://github.com/benureau/r5
true
true
false
none
https://paperswithcode.com/paper/multiscale-information-decomposition-exact
Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes
1706.07136
http://arxiv.org/abs/1706.07136v2
http://arxiv.org/pdf/1706.07136v2.pdf
https://github.com/danielemarinazzo/multiscale_PID
true
true
false
none
https://paperswithcode.com/paper/compressing-recurrent-neural-networks-with
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
1811.07503
http://arxiv.org/abs/1811.07503v1
http://arxiv.org/pdf/1811.07503v1.pdf
https://github.com/tnbar/tednet
true
false
false
pytorch
https://paperswithcode.com/paper/bayesian-adaptive-n-of-1-trials-for
Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
1911.00878
http://arxiv.org/abs/1911.00878v3
http://arxiv.org/pdf/1911.00878v3.pdf
https://github.com/SenarathneSGJ/Adaptive_N-of-1_trials_design
true
true
false
none
https://paperswithcode.com/paper/interactive-discovery-system-for-direct
Interactive Discovery System for Direct Democracy
1807.04448
http://arxiv.org/abs/1807.04448v1
http://arxiv.org/pdf/1807.04448v1.pdf
https://github.com/elaragon/decide-topics
true
true
true
none
https://paperswithcode.com/paper/encryptgan-image-steganography-with-domain
EncryptGAN: Image Steganography with Domain Transform
1905.11582
http://arxiv.org/abs/1905.11582v2
http://arxiv.org/pdf/1905.11582v2.pdf
https://github.com/zhengziqiang/EncryptGAN
true
true
true
tf
https://paperswithcode.com/paper/deep-active-inference
Deep Active Inference
1709.02341
http://arxiv.org/abs/1709.02341v5
http://arxiv.org/pdf/1709.02341v5.pdf
https://github.com/kaiu85/deepAI_paper
true
true
true
none
https://paperswithcode.com/paper/setiburst-a-robotic-commensal-realtime-multi
SETIBURST: A Robotic, Commensal, Realtime Multi-Science Backend for the Arecibo Telescope
1701.04538
http://arxiv.org/abs/1701.04538v1
http://arxiv.org/pdf/1701.04538v1.pdf
https://github.com/griffinfoster/alfaburst-survey
false
false
true
none
https://paperswithcode.com/paper/an-adaptive-partition-of-unity-method-for
An adaptive partition of unity method for multivariate Chebyshev polynomial approximations
1805.00423
http://arxiv.org/abs/1805.00423v3
http://arxiv.org/pdf/1805.00423v3.pdf
https://github.com/kevinwaiton/PUchebfun
true
true
true
none
https://paperswithcode.com/paper/hazelnut-a-bidirectionally-typed-structure
Hazelnut: A Bidirectionally Typed Structure Editor Calculus
1607.04180
https://arxiv.org/abs/1607.04180v5
https://arxiv.org/pdf/1607.04180v5.pdf
https://github.com/hazelgrove/hazelnut-dynamics-agda
false
false
true
none
https://paperswithcode.com/paper/live-functional-programming-with-typed-holes
Live Functional Programming with Typed Holes
1805.00155
http://arxiv.org/abs/1805.00155v4
http://arxiv.org/pdf/1805.00155v4.pdf
https://github.com/hazelgrove/hazelnut-dynamics-agda
true
true
true
none
https://paperswithcode.com/paper/on-location-relevance-and-diversity-in-human
On Location Relevance and Diversity in Human Mobility Data
2010.10198
http://arxiv.org/abs/2010.10198v1
http://arxiv.org/pdf/2010.10198v1.pdf
https://github.com/SeqScan/SeqScan-D
true
true
false
none
https://paperswithcode.com/paper/automatic-analysis-and-influence-of
Automatic Analysis and Influence of Hierarchical Structure on Melody, Rhythm and Harmony in Popular Music
2010.07518
http://arxiv.org/abs/2010.07518v1
http://arxiv.org/pdf/2010.07518v1.pdf
https://github.com/Dsqvival/hierarchical-structure-analysis
true
true
false
none
https://paperswithcode.com/paper/centering-noisy-images-with-application-to
Centering noisy images with application to cryo-EM
2009.04810
http://arxiv.org/abs/2009.04810v1
http://arxiv.org/pdf/2009.04810v1.pdf
https://github.com/nirsharon/RACER
true
true
false
none
https://paperswithcode.com/paper/model-selection-for-estimation-of-causal
Model selection for estimation of causal parameters
2008.12892
https://arxiv.org/abs/2008.12892v2
https://arxiv.org/pdf/2008.12892v2.pdf
https://github.com/rothenhaeusler/tms
true
true
false
none
https://paperswithcode.com/paper/macsen-a-voice-assistant-for-speakers-of-a
Macsen: A Voice Assistant for Speakers of a Lesser Resourced Language
null
https://aclanthology.org/2020.sltu-1.27
https://aclanthology.org/2020.sltu-1.27.pdf
https://github.com/techiaith/macsen-sgwrsfot
true
false
false
none
https://paperswithcode.com/paper/fault-slip-in-hydraulic-stimulation-of
Fault slip in hydraulic stimulation of geothermal reservoirs: governing mechanisms and process-structure interaction
2008.11190
https://arxiv.org/abs/2008.11190v2
https://arxiv.org/pdf/2008.11190v2.pdf
https://github.com/IvarStefansson/Fault-Slip-in-Hydraulic-Stimulation-of-Geothermal-Reservoirs
true
true
false
none
https://paperswithcode.com/paper/a-group-theoretic-perspective-on
A group theoretic perspective on entanglements of division fields
2008.09886
https://arxiv.org/abs/2008.09886v3
https://arxiv.org/pdf/2008.09886v3.pdf
https://github.com/jmorrow4692/Entanglements
true
true
false
none
https://paperswithcode.com/paper/on-bayesian-inference-for-the-extended
On Bayesian inference for the Extended Plackett-Luce model
2002.05953
http://arxiv.org/abs/2002.05953v1
http://arxiv.org/pdf/2002.05953v1.pdf
https://github.com/srjresearch/ExtendedPL
true
true
false
none
https://paperswithcode.com/paper/boundary-solution-based-on-rescaling-method
Boundary solution based on rescaling method: recoup the first and second-order statistics of neuron network dynamics
2002.02381
http://arxiv.org/abs/2002.02381v1
http://arxiv.org/pdf/2002.02381v1.pdf
https://github.com/ceciliaromaro/recoup-the-first-and-second-order-statistics-of-neuron-network-dynamics
true
true
false
none
https://paperswithcode.com/paper/cold-start-aware-user-and-product-attention
Cold-Start Aware User and Product Attention for Sentiment Classification
1806.05507
http://arxiv.org/abs/1806.05507v1
http://arxiv.org/pdf/1806.05507v1.pdf
https://github.com/rktamplayo/HCSC
true
true
false
tf
https://paperswithcode.com/paper/a-data-set-of-piercing-needle-through
A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations
2012.02458
https://arxiv.org/abs/2012.02458v1
https://arxiv.org/pdf/2012.02458v1.pdf
https://github.com/imanlab/d-lfd
true
true
true
tf
https://paperswithcode.com/paper/flexwatts-a-power-and-workload-aware-hybrid
FlexWatts: A Power- and Workload-Aware Hybrid Power Delivery Network for Energy-Efficient Microprocessors
2009.09094
http://arxiv.org/abs/2009.09094v1
http://arxiv.org/pdf/2009.09094v1.pdf
https://github.com/CMU-SAFARI/PDNspot
true
true
false
none
https://paperswithcode.com/paper/local-variables-and-quantum-relational-hoare
Local Variables and Quantum Relational Hoare Logic
2007.14155
http://arxiv.org/abs/2007.14155v1
http://arxiv.org/pdf/2007.14155v1.pdf
https://github.com/dominique-unruh/qrhl-local-variables-isabelle
true
true
false
none
https://paperswithcode.com/paper/rethinking-fun-frequency-domain-utilization
Rethinking FUN: Frequency-Domain Utilization Networks
2012.03357
https://arxiv.org/abs/2012.03357v1
https://arxiv.org/pdf/2012.03357v1.pdf
https://github.com/kfir99/FUN
true
true
true
pytorch
https://paperswithcode.com/paper/selfpose-3d-egocentric-pose-estimation-from-a
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
2011.01519
https://arxiv.org/abs/2011.01519v1
https://arxiv.org/pdf/2011.01519v1.pdf
https://github.com/facebookresearch/xR-EgoPose
false
false
false
pytorch
https://paperswithcode.com/paper/balancing-rational-and-other-regarding
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
2102.12307
https://arxiv.org/abs/2102.12307v1
https://arxiv.org/pdf/2102.12307v1.pdf
https://github.com/jbr-ai-labs/BAROCCO
false
true
false
pytorch
https://paperswithcode.com/paper/one-shot-video-object-segmentation
One-Shot Video Object Segmentation
1611.05198
http://arxiv.org/abs/1611.05198v4
http://arxiv.org/pdf/1611.05198v4.pdf
https://github.com/Mind23-2/MindCode-5/tree/main/OSVOS
false
false
false
mindspore
https://paperswithcode.com/paper/reducing-network-agnostophobia
Reducing Network Agnostophobia
1811.04110
http://arxiv.org/abs/1811.04110v2
http://arxiv.org/pdf/1811.04110v2.pdf
https://github.com/ROBOTICSENGINEER/Reducing-Network-Agnostophobia-Center-Loss
false
false
false
tf
https://paperswithcode.com/paper/boundary-topological-entanglement-entropy-in
Boundary topological entanglement entropy in two and three dimensions
2012.05244
https://arxiv.org/abs/2012.05244v2
https://arxiv.org/pdf/2012.05244v2.pdf
https://github.com/JCBridgeman/UnitaryPremodularCategoryData
true
true
false
none
https://paperswithcode.com/paper/securing-deep-spiking-neural-networks-against
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
2012.05321
https://arxiv.org/abs/2012.05321v1
https://arxiv.org/pdf/2012.05321v1.pdf
https://github.com/rda-ela/SNN-Adversarial-Attacks
true
true
true
pytorch
https://paperswithcode.com/paper/learning-from-an-exploring-demonstrator
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
2106.14866
https://arxiv.org/abs/2106.14866v2
https://arxiv.org/pdf/2106.14866v2.pdf
https://github.com/wenshuoguo/inverse-bandit-code-release
true
true
true
none
https://paperswithcode.com/paper/mali-a-memory-efficient-and-reverse-accurate-1
MALI: A memory efficient and reverse accurate integrator for Neural ODEs
2102.04668
https://arxiv.org/abs/2102.04668v2
https://arxiv.org/pdf/2102.04668v2.pdf
https://github.com/juntang-zhuang/TorchDiffEqPack
true
true
false
pytorch
https://paperswithcode.com/paper/direct-design-of-biquad-filter-cascades-with
Direct design of biquad filter cascades with deep learning by sampling random polynomials
2110.03691
https://arxiv.org/abs/2110.03691v2
https://arxiv.org/pdf/2110.03691v2.pdf
https://github.com/csteinmetz1/iirnet
true
true
true
pytorch
https://paperswithcode.com/paper/woodbury-transformations-for-deep-generative
Woodbury Transformations for Deep Generative Flows
2002.12229
https://arxiv.org/abs/2002.12229v3
https://arxiv.org/pdf/2002.12229v3.pdf
https://github.com/yolu1055/WoodburyTransformations
true
false
true
pytorch
https://paperswithcode.com/paper/using-inverse-optimization-to-learn-cost
Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games
2102.12415
https://arxiv.org/abs/2102.12415v1
https://arxiv.org/pdf/2102.12415v1.pdf
https://github.com/sallen7/IO_GNEP
true
true
false
none
https://paperswithcode.com/paper/causal-discovery-with-unobserved-confounding
Causal Discovery with Unobserved Confounding and non-Gaussian Data
2007.11131
https://arxiv.org/abs/2007.11131v2
https://arxiv.org/pdf/2007.11131v2.pdf
https://github.com/ysamwang/ngBap
true
true
false
none
https://paperswithcode.com/paper/swagan-a-style-based-wavelet-driven
SWAGAN: A Style-based Wavelet-driven Generative Model
2102.06108
https://arxiv.org/abs/2102.06108v1
https://arxiv.org/pdf/2102.06108v1.pdf
https://github.com/dkn16/stylegan2-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/rounding-error-using-low-precision
Rounding error using low precision approximate random variables
2012.09739
https://arxiv.org/abs/2012.09739v1
https://arxiv.org/pdf/2012.09739v1.pdf
https://github.com/oliversheridanmethven/low_precision_approximate_random_variables
true
true
false
none
https://paperswithcode.com/paper/draw-your-neural-networks
Draw your Neural Networks
2012.09609
https://arxiv.org/abs/2012.09609v1
https://arxiv.org/pdf/2012.09609v1.pdf
https://github.com/jatinsha/sketch
true
true
false
pytorch
https://paperswithcode.com/paper/impact-of-non-normal-error-distributions-on
Impact of non-normal error distributions on the benchmarking and ranking of Quantum Machine Learning models
2004.02524
https://arxiv.org/abs/2004.02524v1
https://arxiv.org/pdf/2004.02524v1.pdf
https://github.com/ppernot/ML2020
true
false
true
none
https://paperswithcode.com/paper/analyzing-and-improving-the-image-quality-of
Analyzing and Improving the Image Quality of StyleGAN
1912.04958
https://arxiv.org/abs/1912.04958v2
https://arxiv.org/pdf/1912.04958v2.pdf
https://github.com/dkn16/stylegan2-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/training-effective-ensemble-on-imbalanced
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
1909.03500
https://arxiv.org/abs/1909.03500v3
https://arxiv.org/pdf/1909.03500v3.pdf
https://github.com/ZhiningLiu1998/self-paced-ensemble
true
true
true
none
https://paperswithcode.com/paper/node-feature-extraction-by-self-supervised-1
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
2111.00064
https://arxiv.org/abs/2111.00064v3
https://arxiv.org/pdf/2111.00064v3.pdf
https://github.com/elichienxD/SAGN_with_SLE
false
false
true
pytorch
https://paperswithcode.com/paper/the-weighted-kendall-and-high-order-kernels
The Weighted Kendall and High-order Kernels for Permutations
1802.08526
http://arxiv.org/abs/1802.08526v2
http://arxiv.org/pdf/1802.08526v2.pdf
https://github.com/YunlongJiao/weightedkendall
true
true
true
none
https://paperswithcode.com/paper/collision-free-trajectory-optimization-in
Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming
2404.05242
https://arxiv.org/abs/2404.05242v2
https://arxiv.org/pdf/2404.05242v2.pdf
https://github.com/lyl00/minimum_scaling_free_region
true
true
true
none
https://paperswithcode.com/paper/you-only-look-twice-rapid-multi-scale-object
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
1805.09512
http://arxiv.org/abs/1805.09512v1
http://arxiv.org/pdf/1805.09512v1.pdf
https://github.com/zk2ly/Glass_insulator_defect_detection
false
false
true
pytorch
https://paperswithcode.com/paper/chatgpt-for-digital-forensic-investigation
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown
2307.10195
https://arxiv.org/abs/2307.10195v1
https://arxiv.org/pdf/2307.10195v1.pdf
https://github.com/markscanlonucd/chatgpt-for-digital-forensics
true
true
false
none
https://paperswithcode.com/paper/bilinear-representation-for-language-based
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks
1903.07499
http://arxiv.org/abs/1903.07499v1
http://arxiv.org/pdf/1903.07499v1.pdf
https://github.com/vtddggg/BilinearGAN_for_LBIE
true
true
true
pytorch
https://paperswithcode.com/paper/non-commutative-blahut-arimoto-algorithms
Computing Quantum Channel Capacities
1905.01286
https://arxiv.org/abs/1905.01286v4
https://arxiv.org/pdf/1905.01286v4.pdf
https://github.com/sagnikb/quantum-blahut-arimoto
false
false
true
none
https://paperswithcode.com/paper/beyond-part-models-person-retrieval-with
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
1711.09349
http://arxiv.org/abs/1711.09349v3
http://arxiv.org/pdf/1711.09349v3.pdf
https://github.com/Mind23-2/MindCode-5/tree/main/pcb_rpp
false
false
false
mindspore
https://paperswithcode.com/paper/convtransformer-a-convolutional-transformer
ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis
2011.10185
https://arxiv.org/abs/2011.10185v2
https://arxiv.org/pdf/2011.10185v2.pdf
https://github.com/harryzhu123/ConvTransformer
false
false
true
pytorch
https://paperswithcode.com/paper/decoupling-semantic-context-and-color
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
1810.07901
http://arxiv.org/abs/1810.07901v2
http://arxiv.org/pdf/1810.07901v2.pdf
https://github.com/tejgvsl/Color-constancy
true
false
false
tf
https://paperswithcode.com/paper/visual-transformers-token-based-image
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
2006.03677
https://arxiv.org/abs/2006.03677v4
https://arxiv.org/pdf/2006.03677v4.pdf
https://github.com/aws-samples/amazon-sagemaker-visual-transformer
false
false
true
pytorch
https://paperswithcode.com/paper/learning-by-fixing-solving-math-word-problems
Learning by Fixing: Solving Math Word Problems with Weak Supervision
2012.10582
https://arxiv.org/abs/2012.10582v2
https://arxiv.org/pdf/2012.10582v2.pdf
https://github.com/evelinehong/LBF
true
false
true
pytorch
https://paperswithcode.com/paper/deep-co-attention-network-for-multi-view
Deep Co-Attention Network for Multi-View Subspace Learning
2102.07751
https://arxiv.org/abs/2102.07751v1
https://arxiv.org/pdf/2102.07751v1.pdf
https://github.com/Leo02016/ANTS
true
true
false
pytorch
https://paperswithcode.com/paper/bridging-textual-and-tabular-data-for-cross
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing
2012.12627
https://arxiv.org/abs/2012.12627v2
https://arxiv.org/pdf/2012.12627v2.pdf
https://github.com/salesforce/TabularSemanticParsing
true
true
true
pytorch
https://paperswithcode.com/paper/autoprof-i-an-automated-non-parametric-light
AutoProf -- I. An automated non-parametric light profile pipeline for modern galaxy surveys
2106.13809
https://arxiv.org/abs/2106.13809v2
https://arxiv.org/pdf/2106.13809v2.pdf
https://github.com/ConnorStoneAstro/AutoProf
true
true
false
pytorch