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

Dataset card Data Studio Files
xet
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https://paperswithcode.com/paper/forecasting-human-trajectory-from-scene
Forecasting Human Trajectory from Scene History
2210.08732
https://arxiv.org/abs/2210.08732v1
https://arxiv.org/pdf/2210.08732v1.pdf
https://github.com/makaruinah/shenet
true
true
true
pytorch
https://paperswithcode.com/paper/streaming-sparse-gaussian-process
Streaming Sparse Gaussian Process Approximations
1705.07131
http://arxiv.org/abs/1705.07131v2
http://arxiv.org/pdf/1705.07131v2.pdf
https://github.com/tyliu22/online_pacgp
false
false
true
pytorch
https://paperswithcode.com/paper/kernel-interpolation-for-scalable-structured
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
1503.01057
http://arxiv.org/abs/1503.01057v1
http://arxiv.org/pdf/1503.01057v1.pdf
https://github.com/tyliu22/online_pacgp
false
false
true
pytorch
https://paperswithcode.com/paper/efficientdreamer-high-fidelity-and-robust-3d
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior
2308.13223
https://arxiv.org/abs/2308.13223v2
https://arxiv.org/pdf/2308.13223v2.pdf
https://github.com/EfficientDreamer/EfficientDreamer
true
false
true
none
https://paperswithcode.com/paper/factorized-contrastive-learning-going-beyond
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
2306.05268
https://arxiv.org/abs/2306.05268v2
https://arxiv.org/pdf/2306.05268v2.pdf
https://github.com/pliang279/factorcl
true
true
false
pytorch
https://paperswithcode.com/paper/distributionally-robust-neural-networks-for
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
1911.08731
https://arxiv.org/abs/1911.08731v2
https://arxiv.org/pdf/1911.08731v2.pdf
https://github.com/yangarbiter/dp-dg
false
false
true
pytorch
https://paperswithcode.com/paper/mipi-2022-challenge-on-under-display-camera
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results
2209.07052
https://arxiv.org/abs/2209.07052v2
https://arxiv.org/pdf/2209.07052v2.pdf
https://github.com/mipi-challenge/mipi2022
true
true
true
none
https://paperswithcode.com/paper/detection-recovery-in-online-multi-object
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker
2205.00968
https://arxiv.org/abs/2205.00968v3
https://arxiv.org/pdf/2205.00968v3.pdf
https://github.com/hyunjs/sgt
true
true
false
pytorch
https://paperswithcode.com/paper/surrogate-infeasible-fitness-acquirement-fi
Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation
2205.05834
https://arxiv.org/abs/2205.05834v1
https://arxiv.org/pdf/2205.05834v1.pdf
https://github.com/arayabrain/space-engineers-ai-spaceship-generator
true
false
false
pytorch
https://paperswithcode.com/paper/analytic-and-numerical-demonstration-of
Analytic and numerical demonstration of quantum self-correction in the 3D Cubic Code
1112.3252
https://arxiv.org/abs/1112.3252v1
https://arxiv.org/pdf/1112.3252v1.pdf
https://github.com/Jonsm/ClusterDecoders
false
false
true
none
https://paperswithcode.com/paper/extracting-temporal-event-relation-with
Extracting Temporal Event Relation with Syntax-guided Graph Transformer
2104.09570
https://arxiv.org/abs/2104.09570v2
https://arxiv.org/pdf/2104.09570v2.pdf
https://github.com/vt-nlp/syntax-guided-graph-transformer
true
true
false
pytorch
https://paperswithcode.com/paper/the-generalized-green-s-function-cluster
The Generalized Green's function Cluster Expansion: A Python package for simulating polarons
2210.12260
https://arxiv.org/abs/2210.12260v1
https://arxiv.org/pdf/2210.12260v1.pdf
https://github.com/x94carbone/ggce
true
true
false
none
https://paperswithcode.com/paper/optimal-energy-system-scheduling-using-a
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm
2305.05484
https://arxiv.org/abs/2305.05484v1
https://arxiv.org/pdf/2305.05484v1.pdf
https://github.com/ShengrenHou/Energy-management-MIP-Deep-Reinforcement-Learning
true
true
true
none
https://paperswithcode.com/paper/towards-online-domain-adaptive-object
Towards Online Domain Adaptive Object Detection
2204.05289
https://arxiv.org/abs/2204.05289v2
https://arxiv.org/pdf/2204.05289v2.pdf
https://github.com/vibashan/memxformer-online-da
true
true
true
pytorch
https://paperswithcode.com/paper/numerical-rank-of-singular-kernel-functions
HODLR$d$D: A new Black-box fast algorithm for $N$-body problems in $d$-dimensions with guaranteed error bounds
2209.05819
https://arxiv.org/abs/2209.05819v4
https://arxiv.org/pdf/2209.05819v4.pdf
https://github.com/safran-lab/hodlrdd
true
true
true
none
https://paperswithcode.com/paper/meim-multi-partition-embedding-interaction
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction
2209.15597
https://arxiv.org/abs/2209.15597v2
https://arxiv.org/pdf/2209.15597v2.pdf
https://github.com/tranhungnghiep/AnalyzeKGE
false
false
true
tf
https://paperswithcode.com/paper/the-training-process-of-many-deep-networks
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold
2305.01604
https://arxiv.org/abs/2305.01604v3
https://arxiv.org/pdf/2305.01604v3.pdf
https://github.com/grasp-lyrl/low-dimensional-deepnets
true
true
false
pytorch
https://paperswithcode.com/paper/laplacian-convolutional-representation-for
Laplacian Convolutional Representation for Traffic Time Series Imputation
2212.01529
https://arxiv.org/abs/2212.01529v3
https://arxiv.org/pdf/2212.01529v3.pdf
https://github.com/xinychen/transdim
true
true
true
tf
https://paperswithcode.com/paper/neural-directional-distance-field-object
Neural directional distance field object representation for uni-directional path-traced rendering
2306.16142
https://arxiv.org/abs/2306.16142v1
https://arxiv.org/pdf/2306.16142v1.pdf
https://github.com/smlab-niser/23ddf
true
true
false
none
https://paperswithcode.com/paper/graph-convolutional-neural-networks-with
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
2212.02055
https://arxiv.org/abs/2212.02055v3
https://arxiv.org/pdf/2212.02055v3.pdf
https://github.com/Wei9711/NegGCNs
true
true
false
none
https://paperswithcode.com/paper/tracking-anything-in-high-quality
Tracking Anything in High Quality
2307.13974
https://arxiv.org/abs/2307.13974v1
https://arxiv.org/pdf/2307.13974v1.pdf
https://github.com/jiawen-zhu/hqtrack
true
true
true
pytorch
https://paperswithcode.com/paper/almost-optimal-variance-constrained-best-arm
Almost Optimal Variance-Constrained Best Arm Identification
2201.10142
https://arxiv.org/abs/2201.10142v2
https://arxiv.org/pdf/2201.10142v2.pdf
https://github.com/y-hou/va-bai
true
true
false
none
https://paperswithcode.com/paper/the-interactive-modeling-of-a-binary-star
The Interactive Modeling of a Binary Star System
2210.14227
https://arxiv.org/abs/2210.14227v1
https://arxiv.org/pdf/2210.14227v1.pdf
https://github.com/kamesankaro/the-interactive-modeling-of-a-binary-star-system---supplementary-code
true
true
false
none
https://paperswithcode.com/paper/vitpose-simple-vision-transformer-baselines
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
2204.12484
https://arxiv.org/abs/2204.12484v3
https://arxiv.org/pdf/2204.12484v3.pdf
https://github.com/jaehyunnn/ViTPose_pytorch
false
false
false
pytorch
https://paperswithcode.com/paper/ttrisk-tensor-train-decomposition-algorithm
TTRISK: Tensor Train Decomposition Algorithm for Risk Averse Optimization
2111.05180
https://arxiv.org/abs/2111.05180v2
https://arxiv.org/pdf/2111.05180v2.pdf
https://github.com/dolgov/ttrisk
true
true
true
none
https://paperswithcode.com/paper/sparse-autoencoders-find-highly-interpretable
Sparse Autoencoders Find Highly Interpretable Features in Language Models
2309.08600
https://arxiv.org/abs/2309.08600v3
https://arxiv.org/pdf/2309.08600v3.pdf
https://github.com/hoagyc/sparse_coding
true
true
true
pytorch
https://paperswithcode.com/paper/revisiting-pseudo-dirac-neutrino-scenario
Revisiting pseudo-Dirac neutrino scenario after recent solar neutrino data
2211.09105
https://arxiv.org/abs/2211.09105v2
https://arxiv.org/pdf/2211.09105v2.pdf
https://github.com/saeedansarifard/solarneutrinos-pseudodirac
true
true
true
none
https://paperswithcode.com/paper/medtsllm-leveraging-llms-for-multimodal
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis
2408.07773
https://arxiv.org/abs/2408.07773v1
https://arxiv.org/pdf/2408.07773v1.pdf
https://github.com/flixpar/med-ts-llm
true
false
true
pytorch
https://paperswithcode.com/paper/asap-reconciling-asynchronous-real-time
ASAP: Reconciling Asynchronous Real-Time Operations and Proofs of Execution in Simple Embedded Systems
2206.02894
https://arxiv.org/abs/2206.02894v1
https://arxiv.org/pdf/2206.02894v1.pdf
https://github.com/rit-chaos-sec/asap
true
true
true
none
https://paperswithcode.com/paper/s-2-flow-joint-semantic-and-style-editing-of
$S^2$-Flow: Joint Semantic and Style Editing of Facial Images
2211.12209
https://arxiv.org/abs/2211.12209v1
https://arxiv.org/pdf/2211.12209v1.pdf
https://github.com/visinf/s2-flow
true
true
true
pytorch
https://paperswithcode.com/paper/supporting-dnn-safety-analysis-and-retraining
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning
2002.00863
https://arxiv.org/abs/2002.00863v4
https://arxiv.org/pdf/2002.00863v4.pdf
https://github.com/SNTSVV/HUDD-Toolset
true
false
true
pytorch
https://paperswithcode.com/paper/model-agnostic-and-scalable-counterfactual
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
2106.02597
https://arxiv.org/abs/2106.02597v1
https://arxiv.org/pdf/2106.02597v1.pdf
https://github.com/SeldonIO/alibi
true
true
true
tf
https://paperswithcode.com/paper/hudd-a-tool-to-debug-dnns-for-safety-analysis
HUDD: A tool to debug DNNs for safety analysis
2210.08356
https://arxiv.org/abs/2210.08356v1
https://arxiv.org/pdf/2210.08356v1.pdf
https://github.com/SNTSVV/HUDD-Toolset
true
false
true
pytorch
https://paperswithcode.com/paper/self-improving-slam-in-dynamic-environments
Self-Improving SLAM in Dynamic Environments: Learning When to Mask
2210.08350
https://arxiv.org/abs/2210.08350v3
https://arxiv.org/pdf/2210.08350v3.pdf
https://github.com/adrianbojko/consinv-dataset
true
true
false
none
https://paperswithcode.com/paper/accelerated-motion-correction-for-mri-using
Accelerated Motion Correction with Deep Generative Diffusion Models
2211.00199
https://arxiv.org/abs/2211.00199v2
https://arxiv.org/pdf/2211.00199v2.pdf
https://github.com/utcsilab/motion_score_mri
true
true
false
pytorch
https://paperswithcode.com/paper/tbdm-net-bidirectional-dense-networks-with
TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition
2409.10056
https://arxiv.org/abs/2409.10056v1
https://arxiv.org/pdf/2409.10056v1.pdf
https://github.com/adrianastan/tbdm-net
true
true
false
pytorch
https://paperswithcode.com/paper/pangu-a-large-scale-autoregressive-pretrained
PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation
2104.12369
https://arxiv.org/abs/2104.12369v1
https://arxiv.org/pdf/2104.12369v1.pdf
https://github.com/2023-MindSpore-1/ms-code-162
false
false
false
mindspore
https://paperswithcode.com/paper/instance-relation-graph-guided-source-free
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
2203.15793
https://arxiv.org/abs/2203.15793v4
https://arxiv.org/pdf/2203.15793v4.pdf
https://github.com/vibashan/irg-sfda
true
true
true
pytorch
https://paperswithcode.com/paper/multilingual-machine-translation-with-hyper
Multilingual Machine Translation with Hyper-Adapters
2205.10835
https://arxiv.org/abs/2205.10835v2
https://arxiv.org/pdf/2205.10835v2.pdf
https://github.com/cbaziotis/fairseq
true
true
false
pytorch
https://paperswithcode.com/paper/named-entity-and-relation-extraction-with
Named Entity and Relation Extraction with Multi-Modal Retrieval
2212.01612
https://arxiv.org/abs/2212.01612v1
https://arxiv.org/pdf/2212.01612v1.pdf
https://github.com/modelscope/adaseq
true
true
false
pytorch
https://paperswithcode.com/paper/modeling-label-correlations-for-ultra-fine
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
2212.01581
https://arxiv.org/abs/2212.01581v1
https://arxiv.org/pdf/2212.01581v1.pdf
https://github.com/modelscope/adaseq
true
true
false
pytorch
https://paperswithcode.com/paper/a-transient-thermal-model-for-power
A Transient Thermal Model for Power Electronics Systems
2403.03268
https://arxiv.org/abs/2403.03268v2
https://arxiv.org/pdf/2403.03268v2.pdf
https://github.com/neelp-87/rom-transient-thermal-model-for-power-electronics-
true
true
false
none
https://paperswithcode.com/paper/a-unified-survey-on-anomaly-novelty-open-set
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
2110.14051
https://arxiv.org/abs/2110.14051v5
https://arxiv.org/pdf/2110.14051v5.pdf
https://github.com/taslimisina/osr-ood-ad-methods
true
true
true
pytorch
https://paperswithcode.com/paper/representation-power-of-graph-convolutions
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel
2210.09809
https://arxiv.org/abs/2210.09809v4
https://arxiv.org/pdf/2210.09809v4.pdf
https://github.com/mahalakshmi-sabanayagam/NTK_GCN
true
true
true
pytorch
https://paperswithcode.com/paper/the-operational-meaning-of-min-and-max
The operational meaning of min- and max-entropy
0807.1338
http://arxiv.org/abs/0807.1338v2
http://arxiv.org/pdf/0807.1338v2.pdf
https://github.com/isaacdsmith/min-entropy_and_mbqc
false
false
true
none
https://paperswithcode.com/paper/comparison-of-home-detection-algorithms-using
Comparison of home detection algorithms using smartphone GPS data
2401.06154
https://arxiv.org/abs/2401.06154v1
https://arxiv.org/pdf/2401.06154v1.pdf
https://github.com/rvanxer/home_detection
true
true
false
none
https://paperswithcode.com/paper/predicting-long-timescale-kinetics-under
Predicting long timescale kinetics under variable experimental conditions with Kinetica.jl
2403.08657
https://arxiv.org/abs/2403.08657v1
https://arxiv.org/pdf/2403.08657v1.pdf
https://github.com/Kinetica-jl/Kinetica.jl
true
true
true
none
https://paperswithcode.com/paper/towards-pac-multi-object-detection-and
Towards PAC Multi-Object Detection and Tracking
2204.07482
https://arxiv.org/abs/2204.07482v1
https://arxiv.org/pdf/2204.07482v1.pdf
https://github.com/leoandeol/cods
false
false
true
pytorch
https://paperswithcode.com/paper/lefl-low-entropy-client-sampling-in-federated
LEFL: Low Entropy Client Sampling in Federated Learning
2312.17430
https://arxiv.org/abs/2312.17430v2
https://arxiv.org/pdf/2312.17430v2.pdf
https://github.com/wmabebe/lefl
true
true
false
pytorch
https://paperswithcode.com/paper/semantic-flow-learning-semantic-field-of
Semantic Flow: Learning Semantic Field of Dynamic Scenes from Monocular Videos
2404.05163
https://arxiv.org/abs/2404.05163v1
https://arxiv.org/pdf/2404.05163v1.pdf
https://github.com/tianfr/semantic-flow
true
true
false
pytorch
https://paperswithcode.com/paper/a-survey-of-learning-causality-with-data
A Survey of Learning Causality with Data: Problems and Methods
1809.09337
https://arxiv.org/abs/1809.09337v4
https://arxiv.org/pdf/1809.09337v4.pdf
https://github.com/rguo12/awesome-causality-algorithms
true
true
true
pytorch
https://paperswithcode.com/paper/which-quantum-circuit-mutants-shall-be-used
Quantum Circuit Mutants: Empirical Analysis and Recommendations
2311.16913
https://arxiv.org/abs/2311.16913v5
https://arxiv.org/pdf/2311.16913v5.pdf
https://github.com/enautmendi/which-quantum-circuit-mutants-shall-be-used
true
true
false
none
https://paperswithcode.com/paper/recall-expand-and-multi-candidate-cross
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
2212.09125
https://arxiv.org/abs/2212.09125v1
https://arxiv.org/pdf/2212.09125v1.pdf
https://github.com/modelscope/adaseq
true
true
false
pytorch
https://paperswithcode.com/paper/inferring-stellar-parameters-from-iodine
Inferring Stellar Parameters from Iodine-Imprinted Keck/HIRES Spectra with Machine Learning
2401.06839
https://arxiv.org/abs/2401.06839v1
https://arxiv.org/pdf/2401.06839v1.pdf
https://github.com/jgussman/chip
true
true
false
none
https://paperswithcode.com/paper/clustering-by-mining-density-distributions
Clustering by Mining Density Distributions and Splitting Manifold Structure
2408.10493
https://arxiv.org/abs/2408.10493v2
https://arxiv.org/pdf/2408.10493v2.pdf
https://github.com/SWJTU-ML/MDMSC
true
false
false
none
https://paperswithcode.com/paper/a-3d-molecule-generative-model-for-structure
A 3D Generative Model for Structure-Based Drug Design
2203.10446
https://arxiv.org/abs/2203.10446v2
https://arxiv.org/pdf/2203.10446v2.pdf
https://github.com/yanliang3612/nucleusdiff
false
false
true
pytorch
https://paperswithcode.com/paper/exploring-the-potential-of-machine
Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English
2302.09611
https://arxiv.org/abs/2302.09611v1
https://arxiv.org/pdf/2302.09611v1.pdf
https://github.com/amirsartipi13/translated-english-benchmarks-to-persian
true
true
true
none
https://paperswithcode.com/paper/redmule-a-mixed-precision-matrix-matrix
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration
2301.03904
https://arxiv.org/abs/2301.03904v2
https://arxiv.org/pdf/2301.03904v2.pdf
https://github.com/pulp-platform/redmule
true
false
false
pytorch
https://paperswithcode.com/paper/ethp2psim-evaluating-and-deploying-privacy
ethp2psim: Evaluating and deploying privacy-enhanced peer-to-peer routing protocols for the Ethereum network
2306.15024
https://arxiv.org/abs/2306.15024v1
https://arxiv.org/pdf/2306.15024v1.pdf
https://github.com/ferencberes/ethp2psim
true
true
true
none
https://paperswithcode.com/paper/explainable-multimodal-emotion-reasoning
Explainable Multimodal Emotion Recognition
2306.15401
https://arxiv.org/abs/2306.15401v6
https://arxiv.org/pdf/2306.15401v6.pdf
https://github.com/zeroqiaoba/explainable-multimodal-emotion-reasoning
true
true
true
pytorch
https://paperswithcode.com/paper/exploring-model-misspecification-in
Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations
2307.05334
https://arxiv.org/abs/2307.05334v1
https://arxiv.org/pdf/2307.05334v1.pdf
https://github.com/connor-duffin/sswfe
true
true
false
none
https://paperswithcode.com/paper/colosseum-as-a-digital-twin-bridging-real
Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation
2303.17063
https://arxiv.org/abs/2303.17063v6
https://arxiv.org/pdf/2303.17063v6.pdf
https://github.com/wineslab/cast
true
true
false
none
https://paperswithcode.com/paper/focus-your-attention-when-few-shot
Focus Your Attention when Few-Shot Classification
null
https://openreview.net/forum?id=uFlE0qgtRO
https://openreview.net/pdf?id=uFlE0qgtRO
https://github.com/haoqing-wang/fort
true
true
false
pytorch
https://paperswithcode.com/paper/generation-of-artificial-ct-images-using
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial Networks
2205.09842
https://arxiv.org/abs/2205.09842v1
https://arxiv.org/pdf/2205.09842v1.pdf
https://github.com/mhabijan/medical_images_generation
true
true
true
tf
https://paperswithcode.com/paper/representation-deficiency-in-masked-language
Representation Deficiency in Masked Language Modeling
2302.02060
https://arxiv.org/abs/2302.02060v2
https://arxiv.org/pdf/2302.02060v2.pdf
https://github.com/yumeng5/mae-lm
true
true
true
pytorch
https://paperswithcode.com/paper/equalised-odds-is-not-equal-individual-odds
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness
2304.09779
https://arxiv.org/abs/2304.09779v3
https://arxiv.org/pdf/2304.09779v3.pdf
https://github.com/teddyzander/mcgif
true
true
false
none
https://paperswithcode.com/paper/masked-autoencoders-as-image-processors
Masked Autoencoders as Image Processors
2303.17316
https://arxiv.org/abs/2303.17316v1
https://arxiv.org/pdf/2303.17316v1.pdf
https://github.com/duanhuiyu/maeip_csformer
true
true
true
none
https://paperswithcode.com/paper/transformers-for-limit-order-books
Transformers for Limit Order Books
2003.00130
https://arxiv.org/abs/2003.00130v1
https://arxiv.org/pdf/2003.00130v1.pdf
https://github.com/LeonardoBerti07/TransLOB---Transformers-for-limit-order-books-
false
false
true
pytorch
https://paperswithcode.com/paper/the-super-weight-in-large-language-models
The Super Weight in Large Language Models
2411.07191
https://arxiv.org/abs/2411.07191v1
https://arxiv.org/pdf/2411.07191v1.pdf
https://github.com/mengxiayu/llmsuperweight
true
true
false
pytorch
https://paperswithcode.com/paper/pv-rcnn-point-voxel-feature-set-abstraction
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
1912.13192
https://arxiv.org/abs/1912.13192v2
https://arxiv.org/pdf/1912.13192v2.pdf
https://github.com/open-mmlab/OpenPCDet
true
true
true
pytorch
https://paperswithcode.com/paper/cross-lingual-visual-pre-training-for
Cross-lingual Visual Pre-training for Multimodal Machine Translation
2101.10044
https://arxiv.org/abs/2101.10044v2
https://arxiv.org/pdf/2101.10044v2.pdf
https://github.com/imperialnlp/vtlm
false
false
true
pytorch
https://paperswithcode.com/paper/2407-21024
An Autonomous GIS Agent Framework for Geospatial Data Retrieval
2407.21024
https://arxiv.org/abs/2407.21024v2
https://arxiv.org/pdf/2407.21024v2.pdf
https://github.com/gladcolor/llm-find
true
true
false
none
https://paperswithcode.com/paper/duat-dual-aggregation-transformer-network-for
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
2212.11677
https://arxiv.org/abs/2212.11677v1
https://arxiv.org/pdf/2212.11677v1.pdf
https://github.com/Barrett-python/DuAT
true
false
true
pytorch
https://paperswithcode.com/paper/transforming-sentiment-analysis-in-the
Transforming Sentiment Analysis in the Financial Domain with ChatGPT
2308.07935
https://arxiv.org/abs/2308.07935v1
https://arxiv.org/pdf/2308.07935v1.pdf
https://github.com/giorgosfatouros/Financial-Sentiment-Analysis-with-ChatGPT
true
false
false
none
https://paperswithcode.com/paper/proximal-policy-optimization-algorithms
Proximal Policy Optimization Algorithms
1707.06347
http://arxiv.org/abs/1707.06347v2
http://arxiv.org/pdf/1707.06347v2.pdf
https://github.com/bay3s/ppo-rl
false
false
true
pytorch
https://paperswithcode.com/paper/deep-metric-learning-for-open-world-semantic
Deep Metric Learning for Open World Semantic Segmentation
2108.04562
https://arxiv.org/abs/2108.04562v1
https://arxiv.org/pdf/2108.04562v1.pdf
https://github.com/Jun-CEN/Open-World-Semantic-Segmentation
false
false
false
pytorch
https://paperswithcode.com/paper/improved-algorithms-for-neural-active
Improved Algorithms for Neural Active Learning
2210.00423
https://arxiv.org/abs/2210.00423v3
https://arxiv.org/pdf/2210.00423v3.pdf
https://github.com/matouk98/i-neural
true
true
false
pytorch
https://paperswithcode.com/paper/providers-clients-robots-framework-for
Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction
2206.10767
https://arxiv.org/abs/2206.10767v1
https://arxiv.org/pdf/2206.10767v1.pdf
https://github.com/umich-curly/spatial_interaction
true
true
true
none
https://paperswithcode.com/paper/a-just-in-time-networking-framework-for
A Just-In-Time Networking Framework for Minimizing Request-Response Latency of Wireless Time-Sensitive Applications
2109.03032
https://arxiv.org/abs/2109.03032v2
https://arxiv.org/pdf/2109.03032v2.pdf
https://github.com/leo-cheung-cuhk/openwifi-jit
true
true
true
none
https://paperswithcode.com/paper/faster-r-cnn-towards-real-time-object
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
1506.01497
http://arxiv.org/abs/1506.01497v3
http://arxiv.org/pdf/1506.01497v3.pdf
https://github.com/lyqcom/fasterrcnn-fpn-dcn
false
false
true
mindspore
https://paperswithcode.com/paper/fast-full-resolution-target-adaptive-cnn
Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework
null
https://www.mdpi.com/2072-4292/15/2/319
https://www.mdpi.com/2072-4292/15/2/319/pdf?version=1673404470
https://github.com/matciotola/fast-z-pnn
false
false
false
pytorch
https://paperswithcode.com/paper/deformable-convnets-v2-more-deformable-better
Deformable ConvNets v2: More Deformable, Better Results
1811.11168
http://arxiv.org/abs/1811.11168v2
http://arxiv.org/pdf/1811.11168v2.pdf
https://github.com/lyqcom/fasterrcnn-fpn-dcn
false
false
true
mindspore
https://paperswithcode.com/paper/riemannian-geometry-and-molecular-similarity
Riemannian Geometry and Molecular Similarity II: Kähler Quantization
2301.04424
https://arxiv.org/abs/2301.04424v1
https://arxiv.org/pdf/2301.04424v1.pdf
https://github.com/rpirie96/kqmolsa
true
true
true
none
https://paperswithcode.com/paper/typical-correlation-length-of-sequentially
Typical Correlation Length of Sequentially Generated Tensor Network States
2301.04624
https://arxiv.org/abs/2301.04624v2
https://arxiv.org/pdf/2301.04624v2.pdf
https://github.com/denialhaag/weingarten
true
true
true
none
https://paperswithcode.com/paper/what-s-hard-in-english-rst-parsing-predictive
What's Hard in English RST Parsing? Predictive Models for Error Analysis
2309.04940
https://arxiv.org/abs/2309.04940v1
https://arxiv.org/pdf/2309.04940v1.pdf
https://github.com/janetlauyeung/nlperrors4rst
true
true
false
none
https://paperswithcode.com/paper/nm-flowgan-modeling-srgb-noise-with-a-hybrid
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GAN
2312.10112
https://arxiv.org/abs/2312.10112v3
https://arxiv.org/pdf/2312.10112v3.pdf
https://github.com/YoungJooHan/NM-FlowGAN
true
true
true
pytorch
https://paperswithcode.com/paper/cross-domain-weakly-supervised-object
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
1803.11365
http://arxiv.org/abs/1803.11365v1
http://arxiv.org/pdf/1803.11365v1.pdf
https://github.com/naoto0804/cross-domain-detection
true
false
false
none
https://paperswithcode.com/paper/crazychoir-flying-swarms-of-crazyflie
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2
2302.00716
https://arxiv.org/abs/2302.00716v2
https://arxiv.org/pdf/2302.00716v2.pdf
https://github.com/opt4smart/crazychoir
true
true
false
none
https://paperswithcode.com/paper/is-chatgpt-a-good-translator-a-preliminary
Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
2301.08745
https://arxiv.org/abs/2301.08745v4
https://arxiv.org/pdf/2301.08745v4.pdf
https://github.com/wxjiao/is-chatgpt-a-good-translator
true
true
true
none
https://paperswithcode.com/paper/multi-grained-attention-network-for-aspect
Multi-grained Attention Network for Aspect-Level Sentiment Classification
null
https://aclanthology.org/D18-1380
https://aclanthology.org/D18-1380.pdf
https://github.com/mindspore-courses/ABSA-MindSpore
false
false
false
mindspore
https://paperswithcode.com/paper/pointnet-deep-hierarchical-feature-learning
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
1706.02413
http://arxiv.org/abs/1706.02413v1
http://arxiv.org/pdf/1706.02413v1.pdf
https://gitee.com/gai-shaoyan/mind3d
false
false
false
none
https://paperswithcode.com/paper/point-transformer-1
Point Transformer
2012.09164
https://arxiv.org/abs/2012.09164v2
https://arxiv.org/pdf/2012.09164v2.pdf
https://gitee.com/gai-shaoyan/mind3d
false
false
false
none
https://paperswithcode.com/paper/multi-granularity-detector-for-vulnerability
Multi-Granularity Detector for Vulnerability Fixes
2305.13884
https://arxiv.org/abs/2305.13884v1
https://arxiv.org/pdf/2305.13884v1.pdf
https://github.com/soarsmu/midas
true
true
true
pytorch
https://paperswithcode.com/paper/contrastive-collaborative-filtering-for-cold
Contrastive Collaborative Filtering for Cold-Start Item Recommendation
2302.02151
https://arxiv.org/abs/2302.02151v2
https://arxiv.org/pdf/2302.02151v2.pdf
https://github.com/zzhin/ccfcrec
true
true
false
pytorch
https://paperswithcode.com/paper/slot-order-matters-for-compositional-scene
Towards Improving the Generation Quality of Autoregressive Slot VAEs
2206.01370
https://arxiv.org/abs/2206.01370v3
https://arxiv.org/pdf/2206.01370v3.pdf
https://github.com/pemami4911/segregate-relate-imagine
true
true
false
pytorch
https://paperswithcode.com/paper/digress-discrete-denoising-diffusion-for
DiGress: Discrete Denoising diffusion for graph generation
2209.14734
https://arxiv.org/abs/2209.14734v4
https://arxiv.org/pdf/2209.14734v4.pdf
https://github.com/cvignac/digress
true
true
false
pytorch
https://paperswithcode.com/paper/batch-normalization-accelerating-deep-network
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
1502.03167
http://arxiv.org/abs/1502.03167v3
http://arxiv.org/pdf/1502.03167v3.pdf
https://github.com/tanjeffreyz/deep-residual-learning
false
false
true
pytorch
https://paperswithcode.com/paper/semantic-space-grounded-weighted-decoding-for
Semantic Space Grounded Weighted Decoding for Multi-Attribute Controllable Dialogue Generation
2305.02820
https://arxiv.org/abs/2305.02820v2
https://arxiv.org/pdf/2305.02820v2.pdf
https://github.com/blmoistawinde/dasc
true
true
false
pytorch
https://paperswithcode.com/paper/disentangling-morphology-and-conductance-in
Disentangling morphology and conductance in amorphous graphene
2411.18041
https://arxiv.org/abs/2411.18041v2
https://arxiv.org/pdf/2411.18041v2.pdf
https://github.com/ngastellu/disorder_analysis_mac
true
true
true
none
https://paperswithcode.com/paper/measure-construction-by-extension-in
Measure Construction by Extension in Dependent Type Theory with Application to Integration
2209.02345
https://arxiv.org/abs/2209.02345v3
https://arxiv.org/pdf/2209.02345v3.pdf
https://github.com/math-comp/analysis
true
true
true
none