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

Dataset card Data Studio Files
xet
Community
1
paper_url
stringlengths
36
81
paper_title
stringlengths
1
242
⌀
paper_arxiv_id
stringlengths
9
16
⌀
paper_url_abs
stringlengths
18
314
paper_url_pdf
stringlengths
21
935
⌀
repo_url
stringlengths
26
200
is_official
bool
2 classes
mentioned_in_paper
bool
2 classes
mentioned_in_github
bool
2 classes
framework
stringclasses
9 values
https://paperswithcode.com/paper/ifseg-image-free-semantic-segmentation-via
IFSeg: Image-free Semantic Segmentation via Vision-Language Model
2303.14396
https://arxiv.org/abs/2303.14396v1
https://arxiv.org/pdf/2303.14396v1.pdf
https://github.com/alinlab/ifseg
true
true
true
pytorch
https://paperswithcode.com/paper/comet-m-reasoning-about-multiple-events-in
COMET-M: Reasoning about Multiple Events in Complex Sentences
2305.14617
https://arxiv.org/abs/2305.14617v2
https://arxiv.org/pdf/2305.14617v2.pdf
https://github.com/sahithyaravi/comet-m
true
true
false
pytorch
https://paperswithcode.com/paper/learned-1-d-advection-solver-to-accelerate
Learned 1-D advection solver to accelerate air quality modeling
2211.03906
https://arxiv.org/abs/2211.03906v1
https://arxiv.org/pdf/2211.03906v1.pdf
https://github.com/manozzing/Learned-1-D-advection-solver-with-grid-spacing-physics
true
true
true
none
https://paperswithcode.com/paper/a-systematic-comparison-of-contextualized
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
2402.12011
https://arxiv.org/abs/2402.12011v3
https://arxiv.org/pdf/2402.12011v3.pdf
https://github.com/francescoperiti/cssdetection
true
true
true
none
https://paperswithcode.com/paper/vision-based-fall-detection-with
Vision-Based Fall Detection with Convolutional Neural Networks
null
https://www.hindawi.com/journals/wcmc/2017/9474806/
https://downloads.hindawi.com/journals/wcmc/2017/9474806.pdf
https://github.com/AdrianNunez/Fall-Detection-with-CNNs-and-Optical-Flow
false
false
false
none
https://paperswithcode.com/paper/drag-reduction-strategies-in-wall-bounded
Drag-reduction strategies in wall-bounded turbulent flows using deep reinforcement learning
2309.02943
https://arxiv.org/abs/2309.02943v1
https://arxiv.org/pdf/2309.02943v1.pdf
https://github.com/kth-flowai/marl-drag-reduction-in-wall-bounded-flows
true
true
false
none
https://paperswithcode.com/paper/generative-modeling-through-the-semi-dual-1
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
2305.14777
https://arxiv.org/abs/2305.14777v3
https://arxiv.org/pdf/2305.14777v3.pdf
https://github.com/Jae-Moo/UOTM
true
true
true
pytorch
https://paperswithcode.com/paper/prompt-based-grouping-transformer-for-nucleus
Prompt-based Grouping Transformer for Nucleus Detection and Classification
2310.14176
https://arxiv.org/abs/2310.14176v1
https://arxiv.org/pdf/2310.14176v1.pdf
https://github.com/lhaof/pgt
true
true
false
pytorch
https://paperswithcode.com/paper/federated-learning-of-large-language-models
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
2310.15080
https://arxiv.org/abs/2310.15080v3
https://arxiv.org/pdf/2310.15080v3.pdf
https://github.com/llm-eff/fedpeptao
true
true
false
pytorch
https://paperswithcode.com/paper/an-optimal-control-method-to-compute-the-most
An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps
2203.16874
https://arxiv.org/abs/2203.16874v2
https://arxiv.org/pdf/2203.16874v2.pdf
https://github.com/chenxiaolichen/most-likely-transition-path-with-levy-noise
true
true
false
none
https://paperswithcode.com/paper/a-multi-aspect-framework-for-counter
A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models
2402.11676
https://arxiv.org/abs/2402.11676v2
https://arxiv.org/pdf/2402.11676v2.pdf
https://github.com/osu-nlp-group/llm-cn-eval
true
true
true
pytorch
https://paperswithcode.com/paper/inductive-relation-prediction-on-knowledge
Inductive Relation Prediction by Subgraph Reasoning
1911.06962
https://arxiv.org/abs/1911.06962v2
https://arxiv.org/pdf/1911.06962v2.pdf
https://github.com/lars-research/red-gnn
false
false
true
pytorch
https://paperswithcode.com/paper/crop-conservative-reward-for-model-based
CROP: Conservative Reward for Model-based Offline Policy Optimization
2310.17245
https://arxiv.org/abs/2310.17245v1
https://arxiv.org/pdf/2310.17245v1.pdf
https://github.com/g0k0ururi/crop
true
true
false
pytorch
https://paperswithcode.com/paper/symbolic-planning-and-code-generation-for
Symbolic Planning and Code Generation for Grounded Dialogue
2310.17140
https://arxiv.org/abs/2310.17140v1
https://arxiv.org/pdf/2310.17140v1.pdf
https://github.com/justinchiu/onecommon-gpt
true
true
false
none
https://paperswithcode.com/paper/learning-interpretable-deep-disentangled
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing
2310.02340
https://arxiv.org/abs/2310.02340v1
https://arxiv.org/pdf/2310.02340v1.pdf
https://github.com/ricardoborsoi/IDNet_release
true
true
false
pytorch
https://paperswithcode.com/paper/manipulating-large-language-models-to
Manipulating Large Language Models to Increase Product Visibility
2404.07981
https://arxiv.org/abs/2404.07981v2
https://arxiv.org/pdf/2404.07981v2.pdf
https://github.com/aounon/llm-rank-optimizer
true
true
true
pytorch
https://paperswithcode.com/paper/influence-of-the-neutron-skin-effect-on
Influence of the neutron-skin effect on nuclear isobar collisions at RHIC
1908.10231
http://arxiv.org/abs/1908.10231v2
http://arxiv.org/pdf/1908.10231v2.pdf
https://github.com/mluzum/isobar-sampler
false
false
true
none
https://paperswithcode.com/paper/3d-human-pose-estimation-with-occlusions
3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement
2404.16136
https://arxiv.org/abs/2404.16136v1
https://arxiv.org/pdf/2404.16136v1.pdf
https://github.com/filipalino/blendmimic3d
true
true
false
none
https://paperswithcode.com/paper/hybrid-quantum-neural-network-advantage-for
Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratio
2403.02080
https://arxiv.org/abs/2403.02080v1
https://arxiv.org/pdf/2403.02080v1.pdf
https://github.com/AishSweety/hybrid-quantum-classical-Neural-Network-for-radar-data
true
true
true
none
https://paperswithcode.com/paper/can-encrypted-images-still-train-neural
Can Encrypted Images Still Train Neural Networks? Investigating Image Information and Random Vortex Transformation
2411.16207
https://arxiv.org/abs/2411.16207v2
https://arxiv.org/pdf/2411.16207v2.pdf
https://github.com/caoxiaokai/random_vortex_transformation
true
true
false
none
https://paperswithcode.com/paper/principled-weight-initialisation-for-input-1
Principled Weight Initialisation for Input-Convex Neural Networks
2312.12474
https://arxiv.org/abs/2312.12474v1
https://arxiv.org/pdf/2312.12474v1.pdf
https://github.com/ml-jku/convex-init
true
true
false
pytorch
https://paperswithcode.com/paper/quantized-distillation-optimizing-driver
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments
2311.05970
https://arxiv.org/abs/2311.05970v1
https://arxiv.org/pdf/2311.05970v1.pdf
https://github.com/calvintanama/qd-driver-activity-reco
true
true
false
pytorch
https://paperswithcode.com/paper/revisiting-restarts-of-cdcl-should-the-search
Revisiting Restarts of CDCL: Should the Search Information be Preserved?
2404.16387
https://arxiv.org/abs/2404.16387v2
https://arxiv.org/pdf/2404.16387v2.pdf
https://github.com/cdcl-cold-restart/cold-restart
true
true
false
none
https://paperswithcode.com/paper/visual-cropping-improves-zero-shot-question
Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMs
2310.16033
https://arxiv.org/abs/2310.16033v3
https://arxiv.org/pdf/2310.16033v3.pdf
https://github.com/saccharomycetes/visual_crop_zsvqa
true
true
true
none
https://paperswithcode.com/paper/sim-suction-learning-a-suction-grasp-policy
Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
2305.16378
https://arxiv.org/abs/2305.16378v2
https://arxiv.org/pdf/2305.16378v2.pdf
https://github.com/junchengli1/Sim-Suction-API
true
true
true
pytorch
https://paperswithcode.com/paper/elasticvit-conflict-aware-supernet-training
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
2303.09730
https://arxiv.org/abs/2303.09730v2
https://arxiv.org/pdf/2303.09730v2.pdf
https://github.com/microsoft/moonlit
false
false
true
pytorch
https://paperswithcode.com/paper/spaceevo-hardware-friendly-search-space
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
2303.08308
https://arxiv.org/abs/2303.08308v1
https://arxiv.org/pdf/2303.08308v1.pdf
https://github.com/microsoft/moonlit
false
false
true
pytorch
https://paperswithcode.com/paper/constraint-aware-and-ranking-distilled-token
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
2306.14393
https://arxiv.org/abs/2306.14393v1
https://arxiv.org/pdf/2306.14393v1.pdf
https://github.com/microsoft/moonlit
false
false
true
pytorch
https://paperswithcode.com/paper/local-linear-forests
Local Linear Forests
1807.11408
https://arxiv.org/abs/1807.11408v4
https://arxiv.org/pdf/1807.11408v4.pdf
https://github.com/swager/grf
true
true
true
none
https://paperswithcode.com/paper/neftune-noisy-embeddings-improve-instruction
NEFTune: Noisy Embeddings Improve Instruction Finetuning
2310.05914
https://arxiv.org/abs/2310.05914v2
https://arxiv.org/pdf/2310.05914v2.pdf
https://github.com/neelsjain/neftune
true
true
true
pytorch
https://paperswithcode.com/paper/multi-spacecraft-magnetic-field
Multi-Spacecraft Magnetic Field Reconstructions: A Cross-Scale Comparison of Methods
2310.15187
https://arxiv.org/abs/2310.15187v1
https://arxiv.org/pdf/2310.15187v1.pdf
https://github.com/ammarhakim/gkyl-paper-inp
true
true
false
none
https://paperswithcode.com/paper/ircoco-immediate-rewards-guided-deep
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion
2401.16637
https://arxiv.org/abs/2401.16637v3
https://arxiv.org/pdf/2401.16637v3.pdf
https://github.com/libolun-star/ircoco
true
true
false
jax
https://paperswithcode.com/paper/a-phase-field-discrete-element-method-to
A Phase-Field Discrete Element Method to study chemo-mechanical coupling in granular materials
2310.15718
https://arxiv.org/abs/2310.15718v1
https://arxiv.org/pdf/2310.15718v1.pdf
https://github.com/alexsacmorane/pfdem_acs_multigrains
true
true
false
none
https://paperswithcode.com/paper/lidar-level-localization-with-radar-the-cfear
Lidar-level localization with radar? The CFEAR approach to accurate, fast and robust large-scale radar odometry in diverse environments
2211.02445
https://arxiv.org/abs/2211.02445v3
https://arxiv.org/pdf/2211.02445v3.pdf
https://github.com/dan11003/CFEAR_Radarodometry_code_public
true
false
true
none
https://paperswithcode.com/paper/towards-efficient-and-scalable-sharpness
Towards Efficient and Scalable Sharpness-Aware Minimization
2203.02714
https://arxiv.org/abs/2203.02714v1
https://arxiv.org/pdf/2203.02714v1.pdf
https://github.com/Leminhbinh0209/LookSAM
false
false
true
pytorch
https://paperswithcode.com/paper/efficient-and-scalable-graph-generation
Efficient and Scalable Graph Generation through Iterative Local Expansion
2312.11529
https://arxiv.org/abs/2312.11529v4
https://arxiv.org/pdf/2312.11529v4.pdf
https://github.com/andreasbergmeister/graph-generation
true
true
false
pytorch
https://paperswithcode.com/paper/earl-an-elliptical-distribution-aided
EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images
2301.05856
https://arxiv.org/abs/2301.05856v2
https://arxiv.org/pdf/2301.05856v2.pdf
https://github.com/justlovesmile/earl
true
true
true
pytorch
https://paperswithcode.com/paper/automatic-error-type-annotation-for-arabic
Automatic Error Type Annotation for Arabic
2109.08068
https://arxiv.org/abs/2109.08068v1
https://arxiv.org/pdf/2109.08068v1.pdf
https://github.com/camel-lab/arabic-gec
false
false
true
jax
https://paperswithcode.com/paper/hifi-codec-group-residual-vector-quantization
HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec
2305.02765
https://arxiv.org/abs/2305.02765v2
https://arxiv.org/pdf/2305.02765v2.pdf
https://github.com/lucidrains/vector-quantize-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/graph-partitioning-based-diffusion
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting
1909.11197
https://arxiv.org/abs/1909.11197v4
https://arxiv.org/pdf/1909.11197v4.pdf
https://github.com/2023-MindSpore-4/Code2/tree/main/dcrnn
false
false
false
mindspore
https://paperswithcode.com/paper/model-selection-for-bayesian-autoencoders
Model Selection for Bayesian Autoencoders
2106.06245
https://arxiv.org/abs/2106.06245v1
https://arxiv.org/pdf/2106.06245v1.pdf
https://github.com/tranbahien/bae-prior
true
false
false
pytorch
https://paperswithcode.com/paper/mixnet-towards-effective-and-efficient-uhd
MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
2401.10666
https://arxiv.org/abs/2401.10666v2
https://arxiv.org/pdf/2401.10666v2.pdf
https://github.com/zzr-idam/mixnet
true
true
false
pytorch
https://paperswithcode.com/paper/radarays-real-time-simulation-of-rotating
RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing
2310.03505
https://arxiv.org/abs/2310.03505v2
https://arxiv.org/pdf/2310.03505v2.pdf
https://github.com/dan11003/CFEAR_Radarodometry_code_public
false
false
true
none
https://paperswithcode.com/paper/compresso-structured-pruning-with
Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models
2310.05015
https://arxiv.org/abs/2310.05015v2
https://arxiv.org/pdf/2310.05015v2.pdf
https://github.com/microsoft/moonlit
true
true
false
pytorch
https://paperswithcode.com/paper/qasina-religious-domain-question-answering
QASiNa: Religious Domain Question Answering using Sirah Nabawiyah
2310.08102
https://arxiv.org/abs/2310.08102v1
https://arxiv.org/pdf/2310.08102v1.pdf
https://github.com/rizquuula/QASiNa
true
true
false
none
https://paperswithcode.com/paper/unipad-a-universal-pre-training-paradigm-for
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
2310.08370
https://arxiv.org/abs/2310.08370v2
https://arxiv.org/pdf/2310.08370v2.pdf
https://github.com/Nightmare-n/UniPAD
true
true
true
pytorch
https://paperswithcode.com/paper/crashtranslator-automatically-reproducing
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace
2310.07128
https://arxiv.org/abs/2310.07128v1
https://arxiv.org/pdf/2310.07128v1.pdf
https://github.com/wuchiuwong/crashtranslator
true
true
false
none
https://paperswithcode.com/paper/unipose-detecting-any-keypoints
X-Pose: Detecting Any Keypoints
2310.08530
https://arxiv.org/abs/2310.08530v2
https://arxiv.org/pdf/2310.08530v2.pdf
https://github.com/IDEA-Research/UniPose
true
true
true
pytorch
https://paperswithcode.com/paper/glancevad-exploring-glance-supervision-for
GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection
2403.06154
https://arxiv.org/abs/2403.06154v2
https://arxiv.org/pdf/2403.06154v2.pdf
https://github.com/pipixin321/glancevad
true
true
false
pytorch
https://paperswithcode.com/paper/projective-transformation-rectification-for
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification
2210.05954
https://arxiv.org/abs/2210.05954v2
https://arxiv.org/pdf/2210.05954v2.pdf
https://github.com/maxium0526/ptrn
true
false
true
tf
https://paperswithcode.com/paper/extreme-coverage-in-5g-narrowband-iot-a-lut
Extreme coverage in 5G Narrowband IoT: a LUT-based strategy to optimize shared channels
1908.02798
http://arxiv.org/abs/1908.02798v2
http://arxiv.org/pdf/1908.02798v2.pdf
https://gitlab.com/csc-smart-grid/nbiot-uplink-sched
true
true
false
none
https://paperswithcode.com/paper/data-to-text-bilingual-generation
Data-to-Text Bilingual Generation
2311.14808
https://arxiv.org/abs/2311.14808v1
https://arxiv.org/pdf/2311.14808v1.pdf
https://github.com/rali-udem/JSrealB
true
true
true
none
https://paperswithcode.com/paper/collaborative-target-search-with-a-visual
Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach
2204.12181
https://arxiv.org/abs/2204.12181v3
https://arxiv.org/pdf/2204.12181v3.pdf
https://github.com/ntu-uavg/cts-visual-drone-swarm
true
true
false
pytorch
https://paperswithcode.com/paper/autoeval-video-an-automatic-benchmark-for
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering
2311.14906
https://arxiv.org/abs/2311.14906v2
https://arxiv.org/pdf/2311.14906v2.pdf
https://github.com/xiuyuan-chen/autoeval-video
true
true
true
none
https://paperswithcode.com/paper/convergence-of-edge-computing-and-deep
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
1907.08349
https://arxiv.org/abs/1907.08349v3
https://arxiv.org/pdf/1907.08349v3.pdf
https://github.com/umitkacar/ai-edge-computing
false
false
true
tf
https://paperswithcode.com/paper/machine-learning-at-the-network-edge-a-survey
Machine Learning at the Network Edge: A Survey
1908.00080
https://arxiv.org/abs/1908.00080v4
https://arxiv.org/pdf/1908.00080v4.pdf
https://github.com/umitkacar/ai-edge-computing
false
false
true
tf
https://paperswithcode.com/paper/an-ultra-low-power-tinyml-system-for-real
An Ultra-low Power TinyML System for Real-time Visual Processing at Edge
2207.04663
https://arxiv.org/abs/2207.04663v2
https://arxiv.org/pdf/2207.04663v2.pdf
https://github.com/umitkacar/ai-edge-computing
false
false
true
tf
https://paperswithcode.com/paper/pp-picodet-a-better-real-time-object-detector
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
2111.00902
https://arxiv.org/abs/2111.00902v1
https://arxiv.org/pdf/2111.00902v1.pdf
https://github.com/umitkacar/ai-edge-computing
false
false
true
tf
https://paperswithcode.com/paper/uni-mis-united-multiple-intent-spoken
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
null
https://ojs.aaai.org/index.php/AAAI/article/view/29910
https://ojs.aaai.org/index.php/AAAI/article/view/29910/31590
https://github.com/SJY8460/Uni-MIS
false
false
false
pytorch
https://paperswithcode.com/paper/a-central-limit-theorem-for-intransitive-dice
A Central Limit Theorem for intransitive dice
2310.17083
https://arxiv.org/abs/2310.17083v2
https://arxiv.org/pdf/2310.17083v2.pdf
https://github.com/nontransitivedices/nontransitivedices
true
true
false
none
https://paperswithcode.com/paper/optimization-of-image-processing-algorithms
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents
2311.15740
https://arxiv.org/abs/2311.15740v1
https://arxiv.org/pdf/2311.15740v1.pdf
https://github.com/feup-infolab/archmine
true
true
false
none
https://paperswithcode.com/paper/a-practical-guide-to-implementing-off-axis
A Practical Guide to Implementing Off-Axis Stereo Projection Using Existing Ray Tracing Libraries
2311.05887
https://arxiv.org/abs/2311.05887v2
https://arxiv.org/pdf/2311.05887v2.pdf
https://github.com/szellmann/anari-offaxis-sample-code
true
true
false
none
https://paperswithcode.com/paper/testa-temporal-spatial-token-aggregation-for
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding
2310.19060
https://arxiv.org/abs/2310.19060v1
https://arxiv.org/pdf/2310.19060v1.pdf
https://github.com/renshuhuai-andy/testa
true
true
true
pytorch
https://paperswithcode.com/paper/hessian-aware-low-rank-weight-perturbation
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
2311.15161
https://arxiv.org/abs/2311.15161v5
https://arxiv.org/pdf/2311.15161v5.pdf
https://github.com/lijiaqi/halrp
true
true
true
pytorch
https://paperswithcode.com/paper/learning-motion-refinement-for-unsupervised
Learning Motion Refinement for Unsupervised Face Animation
null
https://openreview.net/forum?id=m9uHv1Pxq7
https://openreview.net/pdf?id=m9uHv1Pxq7
https://github.com/jialetao/mrfa
true
true
false
pytorch
https://paperswithcode.com/paper/tlm-token-level-masking-for-transformers
TLM: Token-Level Masking for Transformers
2310.18738
https://arxiv.org/abs/2310.18738v1
https://arxiv.org/pdf/2310.18738v1.pdf
https://github.com/young1993/tlm
true
true
false
jax
https://paperswithcode.com/paper/champ-efficient-annotation-and-consolidation
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies
2311.11301
https://arxiv.org/abs/2311.11301v1
https://arxiv.org/pdf/2311.11301v1.pdf
https://github.com/ariecattan/champ
true
true
true
none
https://paperswithcode.com/paper/distance-weighted-supervised-learning-for
Distance Weighted Supervised Learning for Offline Interaction Data
2304.13774
https://arxiv.org/abs/2304.13774v1
https://arxiv.org/pdf/2304.13774v1.pdf
https://github.com/jhejna/dwsl
false
false
true
pytorch
https://paperswithcode.com/paper/simulation-based-frequentist-inference-with
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable Likelihoods
2306.07769
https://arxiv.org/abs/2306.07769v2
https://arxiv.org/pdf/2306.07769v2.pdf
https://github.com/AliAlkadhim/ALFFI
true
true
true
pytorch
https://paperswithcode.com/paper/yolov4-optimal-speed-and-accuracy-of-object
YOLOv4: Optimal Speed and Accuracy of Object Detection
2004.10934
https://arxiv.org/abs/2004.10934v1
https://arxiv.org/pdf/2004.10934v1.pdf
https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53
false
false
false
mindspore
https://paperswithcode.com/paper/towards-trustworthy-reranking-a-simple-yet
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
2402.12997
https://arxiv.org/abs/2402.12997v5
https://arxiv.org/pdf/2402.12997v5.pdf
https://github.com/hgissbkh/abstention-reranker
true
true
true
pytorch
https://paperswithcode.com/paper/detection-fusion-for-knowledge-graph
Detection-Fusion for Knowledge Graph Extraction from Videos
2501.00136
https://arxiv.org/abs/2501.00136v1
https://arxiv.org/pdf/2501.00136v1.pdf
https://github.com/Taniya-Das/video_annotation
true
false
false
pytorch
https://paperswithcode.com/paper/computational-smocking-through-fabric-thread
Computational Smocking through Fabric-Thread Interaction
2401.05533
https://arxiv.org/abs/2401.05533v2
https://arxiv.org/pdf/2401.05533v2.pdf
https://github.com/nifzhou/italiansmocking
true
true
false
none
https://paperswithcode.com/paper/homotopy-io-a-proof-assistant-for-finitely
homotopy.io: a proof assistant for finitely-presented globular $n$-categories
2402.13179
https://arxiv.org/abs/2402.13179v1
https://arxiv.org/pdf/2402.13179v1.pdf
https://github.com/homotopy-io/homotopy-rs
true
true
true
none
https://paperswithcode.com/paper/zero-noise-extrapolation-on-logical-qubits-by
Zero noise extrapolation on logical qubits by scaling the error correction code distance
2304.14985
https://arxiv.org/abs/2304.14985v2
https://arxiv.org/pdf/2304.14985v2.pdf
https://github.com/unitaryfund/research
true
true
false
none
https://paperswithcode.com/paper/lumen-shape-reconstruction-using-a-soft
Lumen Shape Reconstruction using a Soft Robotic Balloon Catheter and Electrical Impedance Tomography
2207.12536
https://arxiv.org/abs/2207.12536v2
https://arxiv.org/pdf/2207.12536v2.pdf
https://github.com/eit-team/balloon_catheter_sizing
true
true
true
none
https://paperswithcode.com/paper/momentum-sam-sharpness-aware-minimization
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
2401.12033
https://arxiv.org/abs/2401.12033v2
https://arxiv.org/pdf/2401.12033v2.pdf
https://github.com/marlonbecker/msam
true
true
true
pytorch
https://paperswithcode.com/paper/towards-reliable-ai-model-deployments
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection
2312.15514
https://arxiv.org/abs/2312.15514v1
https://arxiv.org/pdf/2312.15514v1.pdf
https://github.com/ndb796/multipleinputmixup
true
true
true
pytorch
https://paperswithcode.com/paper/diet-odin-a-novel-framework-for-opioid-misuse
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
2403.08820
https://arxiv.org/abs/2403.08820v1
https://arxiv.org/pdf/2403.08820v1.pdf
https://github.com/jasonzhangzy1757/diet-odin
true
true
true
pytorch
https://paperswithcode.com/paper/directpose-direct-end-to-end-multi-person
DirectPose: Direct End-to-End Multi-Person Pose Estimation
1911.07451
https://arxiv.org/abs/1911.07451v2
https://arxiv.org/pdf/1911.07451v2.pdf
https://github.com/IDEA-Research/UniPose
false
false
true
pytorch
https://paperswithcode.com/paper/asynchronous-parallel-reinforcement-learning
Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control
2401.11349
https://arxiv.org/abs/2401.11349v1
https://arxiv.org/pdf/2401.11349v1.pdf
https://github.com/jx-wang-s-group/apt-rl
true
true
false
pytorch
https://paperswithcode.com/paper/single-seed-generation-of-brownian-paths-and
Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers
2405.06464
https://arxiv.org/abs/2405.06464v3
https://arxiv.org/pdf/2405.06464v3.pdf
https://github.com/andyelking/diffrax_stla
true
true
false
jax
https://paperswithcode.com/paper/handling-data-heterogeneity-via-architectural
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
null
https://openreview.net/forum?id=LGKxz9clGG
https://openreview.net/pdf?id=LGKxz9clGG
https://github.com/sarapieri/fed_het
true
true
false
pytorch
https://paperswithcode.com/paper/m5hisdoc-a-large-scale-multi-style-chinese
M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
null
https://openreview.net/forum?id=uJT68uPtC0
https://openreview.net/pdf?id=uJT68uPtC0
https://github.com/hciilab/m5hisdoc
true
true
false
none
https://paperswithcode.com/paper/similarity-of-neural-network-representations
Similarity of Neural Network Representations Revisited
1905.00414
https://arxiv.org/abs/1905.00414v4
https://arxiv.org/pdf/1905.00414v4.pdf
https://github.com/nanzhaogang/contrib/tree/master/application/similarity-of-neural-network-representations-revisited
false
false
false
mindspore
https://paperswithcode.com/paper/lmdrive-closed-loop-end-to-end-driving-with
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
2312.07488
https://arxiv.org/abs/2312.07488v2
https://arxiv.org/pdf/2312.07488v2.pdf
https://github.com/opendilab/lmdrive
true
true
true
pytorch
https://paperswithcode.com/paper/finding-order-in-chaos-a-novel-data-1
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
2309.13439
https://arxiv.org/abs/2309.13439v2
https://arxiv.org/pdf/2309.13439v2.pdf
https://github.com/eth-siplab/Finding_Order_in_Chaos
true
true
false
pytorch
https://paperswithcode.com/paper/robustft-robust-supervised-fine-tuning-for
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
2412.14922
https://arxiv.org/abs/2412.14922v1
https://arxiv.org/pdf/2412.14922v1.pdf
https://github.com/luo-junyu/robustft
true
true
true
none
https://paperswithcode.com/paper/a-python-library-for-efficient-computation-of
A Python library for efficient computation of molecular fingerprints
2403.19718
https://arxiv.org/abs/2403.19718v1
https://arxiv.org/pdf/2403.19718v1.pdf
https://github.com/arch4ngel21/scikit-fingerprints
true
true
false
none
https://paperswithcode.com/paper/mixehr-surg-a-joint-proportional-hazard-and
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records
2312.13454
https://arxiv.org/abs/2312.13454v3
https://arxiv.org/pdf/2312.13454v3.pdf
https://github.com/li-lab-mcgill/mixehr-surg
true
true
false
pytorch
https://paperswithcode.com/paper/distributed-quantum-neural-networks-via
Distributed Quantum Neural Networks via Partitioned Features Encoding
2312.13650
https://arxiv.org/abs/2312.13650v2
https://arxiv.org/pdf/2312.13650v2.pdf
https://github.com/puyokw/distributedqnns
true
true
false
none
https://paperswithcode.com/paper/shallow-cross-encoders-for-low-latency
Shallow Cross-Encoders for Low-Latency Retrieval
2403.20222
https://arxiv.org/abs/2403.20222v1
https://arxiv.org/pdf/2403.20222v1.pdf
https://github.com/asash/shallow-cross-encoders
true
true
false
pytorch
https://paperswithcode.com/paper/ct-xcov-a-ct-scan-based-explainable-framework
CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis
2311.14462
https://arxiv.org/abs/2311.14462v1
https://arxiv.org/pdf/2311.14462v1.pdf
https://github.com/ismailelbouknify/ct-xcov
true
true
false
tf
https://paperswithcode.com/paper/invariant-learning-via-probability-of-1
Invariant Learning via Probability of Sufficient and Necessary Causes
2309.12559
https://arxiv.org/abs/2309.12559v5
https://arxiv.org/pdf/2309.12559v5.pdf
https://github.com/ymy4323460/casn
true
true
false
pytorch
https://paperswithcode.com/paper/wasserstein-adversarially-regularized-graph
Wasserstein Adversarially Regularized Graph Autoencoder
2111.04981
https://arxiv.org/abs/2111.04981v1
https://arxiv.org/pdf/2111.04981v1.pdf
https://github.com/LeonResearch/WARGA
true
false
false
pytorch
https://paperswithcode.com/paper/safe-offline-reinforcement-learning-with
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
2401.10700
https://arxiv.org/abs/2401.10700v1
https://arxiv.org/pdf/2401.10700v1.pdf
https://github.com/zhengyinan-air/fisor
true
true
true
jax
https://paperswithcode.com/paper/a-simple-and-effective-pruning-approach-for
A Simple and Effective Pruning Approach for Large Language Models
2306.11695
https://arxiv.org/abs/2306.11695v3
https://arxiv.org/pdf/2306.11695v3.pdf
https://github.com/crystaleye42/eval-safety
false
false
true
pytorch
https://paperswithcode.com/paper/towards-the-generation-of-synchronized-and
Towards the generation of synchronized and believable non-verbal facial behaviors of a talking virtual agent
2311.12804
https://arxiv.org/abs/2311.12804v1
https://arxiv.org/pdf/2311.12804v1.pdf
https://github.com/aldelb/non_verbal_facial_animation
true
true
false
pytorch
https://paperswithcode.com/paper/aspects-of-human-memory-and-large-language
Aspects of human memory and Large Language Models
2311.03839
https://arxiv.org/abs/2311.03839v3
https://arxiv.org/pdf/2311.03839v3.pdf
https://github.com/rmldj/memory-llm-paper
true
true
false
none
https://paperswithcode.com/paper/exploring-jiu-jitsu-argumentation-for-writing
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals
2311.03998
https://arxiv.org/abs/2311.03998v1
https://arxiv.org/pdf/2311.03998v1.pdf
https://github.com/ukplab/emnlp2023_jiu_jitsu_argumentation_for_rebuttals
true
true
false
none