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

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/second-order-differential-operators
Second-order differential operators, stochastic differential equations and Brownian motions on embedded manifolds
2406.02879
https://arxiv.org/abs/2406.02879v1
https://arxiv.org/pdf/2406.02879v1.pdf
https://github.com/dnguyend/jax-rb
true
true
true
jax
https://paperswithcode.com/paper/exploring-the-efficacy-of-a-hybrid-approach
Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
2404.17884
https://arxiv.org/abs/2404.17884v4
https://arxiv.org/pdf/2404.17884v4.pdf
https://github.com/rabadiah/generalization-capabilities-and-robustness-of-hybrid-machine-learning-models
true
true
false
none
https://paperswithcode.com/paper/translating-text-synopses-to-video
TeViS:Translating Text Synopses to Video Storyboards
2301.00135
https://arxiv.org/abs/2301.00135v4
https://arxiv.org/pdf/2301.00135v4.pdf
https://github.com/guxu313/TeViS
true
false
true
pytorch
https://paperswithcode.com/paper/sltrain-a-sparse-plus-low-rank-approach-for
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
2406.02214
https://arxiv.org/abs/2406.02214v2
https://arxiv.org/pdf/2406.02214v2.pdf
https://github.com/andyjm3/SLTrain
true
true
true
pytorch
https://paperswithcode.com/paper/gptq-accurate-post-training-quantization-for
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
2210.17323
https://arxiv.org/abs/2210.17323v2
https://arxiv.org/pdf/2210.17323v2.pdf
https://github.com/microsoft/bitblas
false
false
true
pytorch
https://paperswithcode.com/paper/learning-to-cache-accelerating-diffusion
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
2406.01733
https://arxiv.org/abs/2406.01733v2
https://arxiv.org/pdf/2406.01733v2.pdf
https://github.com/horseee/learning-to-cache
true
true
true
pytorch
https://paperswithcode.com/paper/conformal-language-modeling
Conformal Language Modeling
2306.10193
https://arxiv.org/abs/2306.10193v2
https://arxiv.org/pdf/2306.10193v2.pdf
https://github.com/varal7/conformal-language-modeling
true
true
true
pytorch
https://paperswithcode.com/paper/mimic-minimally-modified-counterfactuals-in
Representation Surgery: Theory and Practice of Affine Steering
2402.09631
https://arxiv.org/abs/2402.09631v7
https://arxiv.org/pdf/2402.09631v7.pdf
https://github.com/shauli-ravfogel/affine-steering
true
true
true
pytorch
https://paperswithcode.com/paper/kornia-an-open-source-differentiable-computer
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
1910.02190
https://arxiv.org/abs/1910.02190v2
https://arxiv.org/pdf/1910.02190v2.pdf
https://github.com/arraiyopensource/torchgeometry
false
false
true
pytorch
https://paperswithcode.com/paper/exploring-the-effectiveness-and-consistency
Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning
2407.16245
https://arxiv.org/abs/2407.16245v1
https://arxiv.org/pdf/2407.16245v1.pdf
https://github.com/uds-lsv/intermediate-task-selection
true
false
false
pytorch
https://paperswithcode.com/paper/apery-sets-and-the-ideal-class-monoid-of-a
Apéry sets and the ideal class monoid of a numerical semigroup
2302.09647
https://arxiv.org/abs/2302.09647v2
https://arxiv.org/pdf/2302.09647v2.pdf
https://github.com/numerical-semigroups/ideal-class-monoid
true
true
true
none
https://paperswithcode.com/paper/texhoi-reconstructing-textures-of-3d-unknown
TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenes
2501.03525
https://arxiv.org/abs/2501.03525v1
https://arxiv.org/pdf/2501.03525v1.pdf
https://github.com/alakhag/texhoi
true
true
false
pytorch
https://paperswithcode.com/paper/cute-measuring-llms-understanding-of-their
CUTE: Measuring LLMs' Understanding of Their Tokens
2409.15452
https://arxiv.org/abs/2409.15452v2
https://arxiv.org/pdf/2409.15452v2.pdf
https://github.com/leukas/cute
true
true
true
pytorch
https://paperswithcode.com/paper/deep-learning-the-slow-modes-for-rare-events
Deep learning the slow modes for rare events sampling
2107.03943
https://arxiv.org/abs/2107.03943v2
https://arxiv.org/pdf/2107.03943v2.pdf
https://github.com/luigibonati/deep-learning-slow-modes-data
true
false
true
pytorch
https://paperswithcode.com/paper/logicol-logically-informed-contrastive
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
2505.19588
https://arxiv.org/abs/2505.19588v1
https://arxiv.org/pdf/2505.19588v1.pdf
https://github.com/yanzhen4/logicol
true
true
true
pytorch
https://paperswithcode.com/paper/palantir-towards-efficient-super-resolution
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming
2408.06152
https://arxiv.org/abs/2408.06152v2
https://arxiv.org/pdf/2408.06152v2.pdf
https://github.com/Palantir-SR/palantir
true
false
true
tf
https://paperswithcode.com/paper/distributed-quantum-logic-algorithm
Distributed quantum logic algorithm
2411.11979
https://arxiv.org/abs/2411.11979v1
https://arxiv.org/pdf/2411.11979v1.pdf
https://github.com/barseniev/dql_algorithm
true
true
false
none
https://paperswithcode.com/paper/llcaps-learning-to-illuminate-low-light
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
2307.02452
https://arxiv.org/abs/2307.02452v2
https://arxiv.org/pdf/2307.02452v2.pdf
https://github.com/longbai1006/llcaps
true
true
true
pytorch
https://paperswithcode.com/paper/a-generic-approach-to-nonparametric-function
A generic approach to nonparametric function estimation with mixed data
1704.07457
http://arxiv.org/abs/1704.07457v3
http://arxiv.org/pdf/1704.07457v3.pdf
https://github.com/cran/cctools
false
false
true
none
https://paperswithcode.com/paper/vmamba-visual-state-space-model
VMamba: Visual State Space Model
2401.10166
https://arxiv.org/abs/2401.10166v4
https://arxiv.org/pdf/2401.10166v4.pdf
https://github.com/raytrun/mamba-clip
false
false
true
pytorch
https://paperswithcode.com/paper/raq-vae-rate-adaptive-vector-quantized
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
2405.14222
https://arxiv.org/abs/2405.14222v2
https://arxiv.org/pdf/2405.14222v2.pdf
https://github.com/JiwanSeo/RAQ-VAE
true
false
true
pytorch
https://paperswithcode.com/paper/roman-open-set-object-map-alignment-for
ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization
2410.08262
https://arxiv.org/abs/2410.08262v2
https://arxiv.org/pdf/2410.08262v2.pdf
https://github.com/mit-acl/ROMAN
true
false
false
none
https://paperswithcode.com/paper/cpa-wac-constellation-partitioning-based
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding
null
https://www.ijcai.org/proceedings/2024/388
https://www.ijcai.org/proceedings/2024/0388.pdf
https://github.com/ganzagun/CPa-WAC
false
true
false
pytorch
https://paperswithcode.com/paper/minimum-weighted-feedback-arc-sets-for
Minimum Weighted Feedback Arc Sets for Ranking from Pairwise Comparisons
2412.16181
https://arxiv.org/abs/2412.16181v2
https://arxiv.org/pdf/2412.16181v2.pdf
https://github.com/soroushvahidi/ranking_with_mwfas
true
true
false
none
https://paperswithcode.com/paper/fast-generalizable-gaussian-splatting
MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
2405.12218
https://arxiv.org/abs/2405.12218v3
https://arxiv.org/pdf/2405.12218v3.pdf
https://github.com/TQTQliu/MVSGaussian
true
true
true
pytorch
https://paperswithcode.com/paper/mmworld-towards-multi-discipline-multi
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
2406.08407
https://arxiv.org/abs/2406.08407v3
https://arxiv.org/pdf/2406.08407v3.pdf
https://github.com/eric-ai-lab/mmworld
true
true
true
none
https://paperswithcode.com/paper/understanding-visual-concepts-across-models
Understanding Visual Concepts Across Models
2406.07506
https://arxiv.org/abs/2406.07506v1
https://arxiv.org/pdf/2406.07506v1.pdf
https://github.com/visual-words/visual-words
true
true
true
none
https://paperswithcode.com/paper/calibrating-doubly-robust-estimators-with
Calibrating doubly-robust estimators with unbalanced treatment assignment
2403.01585
https://arxiv.org/abs/2403.01585v2
https://arxiv.org/pdf/2403.01585v2.pdf
https://github.com/dballinari/Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment
true
true
true
none
https://paperswithcode.com/paper/pretraining-ecg-data-with-adversarial-masking
Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks
2211.07889
https://arxiv.org/abs/2211.07889v1
https://arxiv.org/pdf/2211.07889v1.pdf
https://github.com/jessica-bo/advmask_ecg
false
false
true
pytorch
https://paperswithcode.com/paper/subject-driven-text-to-image-generation-via-1
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
2407.12164
https://arxiv.org/abs/2407.12164v3
https://arxiv.org/pdf/2407.12164v3.pdf
https://github.com/andrew-miao/RPO
true
true
true
pytorch
https://paperswithcode.com/paper/chance-constrained-energy-storage-pricing-for
Chance-Constrained Energy Storage Pricing for Social Welfare Maximization
2407.07068
https://arxiv.org/abs/2407.07068v1
https://arxiv.org/pdf/2407.07068v1.pdf
https://github.com/thuqining/Storage_Pricing_for_Social_Welfare_Maximization
true
false
false
none
https://paperswithcode.com/paper/uncovering-latent-themes-of-messaging-on
Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs
2403.10707
https://arxiv.org/abs/2403.10707v2
https://arxiv.org/pdf/2403.10707v2.pdf
https://github.com/tunazislam/latent-themes-llms
true
true
true
pytorch
https://paperswithcode.com/paper/data-efficient-molecular-generation-with
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
2405.02845
https://arxiv.org/abs/2405.02845v3
https://arxiv.org/pdf/2405.02845v3.pdf
https://github.com/seojin-kim/hi-mol
true
true
false
pytorch
https://paperswithcode.com/paper/spectral-variance-in-a-stochastic
Spectral Variance in a Stochastic Gravitational-Wave Background From a Binary Population
2407.06270
https://arxiv.org/abs/2407.06270v3
https://arxiv.org/pdf/2407.06270v3.pdf
https://github.com/astrolamb/pop_synth
true
true
true
none
https://paperswithcode.com/paper/search-based-trace-diagnostic
Search-based Trace Diagnostic
2406.17268
https://arxiv.org/abs/2406.17268v1
https://arxiv.org/pdf/2406.17268v1.pdf
https://github.com/gastd/ga-hls
true
true
false
none
https://paperswithcode.com/paper/trocr-transformer-based-optical-character
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
2109.10282
https://arxiv.org/abs/2109.10282v5
https://arxiv.org/pdf/2109.10282v5.pdf
https://github.com/prathameshza/TrOCR_FineTuning
false
false
false
none
https://paperswithcode.com/paper/dahl-domain-specific-automated-hallucination
DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine
2411.09255
https://arxiv.org/abs/2411.09255v1
https://arxiv.org/pdf/2411.09255v1.pdf
https://github.com/seemdog/DAHL
true
false
true
none
https://paperswithcode.com/paper/how-dnns-break-the-curse-of-dimensionality
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
2407.05664
https://arxiv.org/abs/2407.05664v1
https://arxiv.org/pdf/2407.05664v1.pdf
https://github.com/shc443/coveringnumber_gb
true
true
false
pytorch
https://paperswithcode.com/paper/hpff-hierarchical-locally-supervised-learning
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
2407.05638
https://arxiv.org/abs/2407.05638v2
https://arxiv.org/pdf/2407.05638v2.pdf
https://github.com/zeudfish/hpff
true
true
false
pytorch
https://paperswithcode.com/paper/passage-retrieval-of-polish-texts-using-okapi
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders
2410.04620
https://arxiv.org/abs/2410.04620v1
https://arxiv.org/pdf/2410.04620v1.pdf
https://github.com/kubapok/poleval22
true
true
false
pytorch
https://paperswithcode.com/paper/eagleeye-attention-to-unveil-malicious-event
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs
2408.09217
https://arxiv.org/abs/2408.09217v2
https://arxiv.org/pdf/2408.09217v2.pdf
https://github.com/gyselph/eagle-eye
true
false
true
tf
https://paperswithcode.com/paper/art-automatic-red-teaming-for-text-to-image
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
2405.19360
https://arxiv.org/abs/2405.19360v3
https://arxiv.org/pdf/2405.19360v3.pdf
https://github.com/guanlinlee/art
true
true
false
pytorch
https://paperswithcode.com/paper/position-coupling-leveraging-task-structure
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
2405.20671
https://arxiv.org/abs/2405.20671v2
https://arxiv.org/pdf/2405.20671v2.pdf
https://github.com/hanseuljo/position-coupling
true
true
true
pytorch
https://paperswithcode.com/paper/how-not-to-stitch-representations-to-measure
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching
2412.11299
https://arxiv.org/abs/2412.11299v1
https://arxiv.org/pdf/2412.11299v1.pdf
https://github.com/szegedai/stitching-ood
true
true
false
pytorch
https://paperswithcode.com/paper/towards-controllable-face-generation-with
Controllable Face Synthesis with Semantic Latent Diffusion Models
2403.12743
https://arxiv.org/abs/2403.12743v2
https://arxiv.org/pdf/2403.12743v2.pdf
https://github.com/ergastialex/sca-dm
true
true
true
pytorch
https://paperswithcode.com/paper/neural-port-hamiltonian-differential
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
2412.11215
https://arxiv.org/abs/2412.11215v2
https://arxiv.org/pdf/2412.11215v2.pdf
https://github.com/nathan-t4/nphdae
true
true
true
jax
https://paperswithcode.com/paper/listen-and-speak-fairly-a-study-on-semantic
Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models
2407.06957
https://arxiv.org/abs/2407.06957v1
https://arxiv.org/pdf/2407.06957v1.pdf
https://github.com/dlion168/Listen-and-Speak-Fairly
true
true
true
none
https://paperswithcode.com/paper/autordf2gml-facilitating-rdf-integration-in
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
2407.18735
https://arxiv.org/abs/2407.18735v1
https://arxiv.org/pdf/2407.18735v1.pdf
https://github.com/davidlamprecht/autordf2gml
true
true
true
pytorch
https://paperswithcode.com/paper/extended-agriculture-vision-an-extension-of-a
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis
2303.02460
https://arxiv.org/abs/2303.02460v1
https://arxiv.org/pdf/2303.02460v1.pdf
https://github.com/jingwu6/extended-agriculture-vision-dataset
true
true
true
pytorch
https://paperswithcode.com/paper/neural-cleanse-identifying-and-mitigating
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
null
https://ieeexplore.ieee.org/document/8835365
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8835365
https://github.com/bolunwang/backdoor
false
false
false
tf
https://paperswithcode.com/paper/scsa-exploring-the-synergistic-effects
SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention
2407.05128
https://arxiv.org/abs/2407.05128v2
https://arxiv.org/pdf/2407.05128v2.pdf
https://github.com/HZAI-ZJNU/SCSA
true
true
true
pytorch
https://paperswithcode.com/paper/efficient-and-long-tailed-generalization-for
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
2406.12638
https://arxiv.org/abs/2406.12638v1
https://arxiv.org/pdf/2406.12638v1.pdf
https://github.com/shijxcs/candle
true
true
true
pytorch
https://paperswithcode.com/paper/real-time-3d-object-detection-using
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI Accelerator
2412.05594
https://arxiv.org/abs/2412.05594v1
https://arxiv.org/pdf/2412.05594v1.pdf
https://github.com/airotau/pointpillarshailoinnoviz
true
true
false
pytorch
https://paperswithcode.com/paper/data-driven-prediction-of-colonization
Data-driven prediction of colonization outcomes for complex microbial communities
null
https://doi.org/10.1038/s41467-024-46766-y
https://doi.org/10.1038/s41467-024-46766-y
https://github.com/spxuw/COP
true
false
false
pytorch
https://paperswithcode.com/paper/a-variational-bayes-approach-to-debiased
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
2406.12659
https://arxiv.org/abs/2406.12659v1
https://arxiv.org/pdf/2406.12659v1.pdf
https://github.com/lukemmtravis/Debiased-SVB
true
true
false
none
https://paperswithcode.com/paper/adaptive-habitability-of-exoplanets-thriving
Adaptive Habitability of Exoplanets: Thriving Under Extreme Environmental Change
2407.02571
https://arxiv.org/abs/2407.02571v1
https://arxiv.org/pdf/2407.02571v1.pdf
https://github.com/itaywe1998/Astro-Ecology-Paper
true
false
false
none
https://paperswithcode.com/paper/longformer-the-long-document-transformer
Longformer: The Long-Document Transformer
2004.05150
https://arxiv.org/abs/2004.05150v2
https://arxiv.org/pdf/2004.05150v2.pdf
https://github.com/mim-solutions/roberta_for_longer_texts
false
false
true
pytorch
https://paperswithcode.com/paper/enhancing-fake-news-detection-in-social-media
Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph
2406.09884
https://arxiv.org/abs/2406.09884v1
https://arxiv.org/pdf/2406.09884v1.pdf
https://github.com/zhaowanqing/FCN-LP
true
true
true
pytorch
https://paperswithcode.com/paper/vector-valued-variation-spaces-and-width
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
2305.16534
https://arxiv.org/abs/2305.16534v3
https://arxiv.org/pdf/2305.16534v3.pdf
https://github.com/joeshenouda/vv-spaces-nn-width
true
true
false
pytorch
https://paperswithcode.com/paper/dinov2-learning-robust-visual-features
DINOv2: Learning Robust Visual Features without Supervision
2304.07193
https://arxiv.org/abs/2304.07193v2
https://arxiv.org/pdf/2304.07193v2.pdf
https://github.com/facebookresearch/highrescanopyheight
false
false
true
pytorch
https://paperswithcode.com/paper/grathena-puncture-evolutions-on-vertex
GRAthena++: puncture evolutions on vertex-centered oct-tree AMR
2101.08289
https://arxiv.org/abs/2101.08289v1
https://arxiv.org/pdf/2101.08289v1.pdf
https://bitbucket.org/bernuzzi/twopuncturesc
false
false
true
none
https://paperswithcode.com/paper/a-single-domain-spectral-method-for-black
A single-domain spectral method for black hole puncture data
gr-qc/0404056
https://arxiv.org/abs/gr-qc/0404056v2
https://arxiv.org/pdf/gr-qc/0404056v2.pdf
https://bitbucket.org/bernuzzi/twopuncturesc
false
false
true
none
https://paperswithcode.com/paper/continual-learning-via-sequential-function
Continual Learning via Sequential Function-Space Variational Inference
2312.17210
https://arxiv.org/abs/2312.17210v1
https://arxiv.org/pdf/2312.17210v1.pdf
https://github.com/timrudner/S-FSVI
true
false
false
jax
https://paperswithcode.com/paper/2408-02205
Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents
2408.02205
https://arxiv.org/abs/2408.02205v4
https://arxiv.org/pdf/2408.02205v4.pdf
https://github.com/dishacse/Publication-Resources/tree/main/2025%20ICSA
true
false
false
none
https://paperswithcode.com/paper/structure-your-data-towards-semantic-graph
Structure Your Data: Towards Semantic Graph Counterfactuals
2403.06514
https://arxiv.org/abs/2403.06514v2
https://arxiv.org/pdf/2403.06514v2.pdf
https://github.com/aggeliki-dimitriou/sgce
true
true
true
pytorch
https://paperswithcode.com/paper/smart-scene-motion-aware-human-action
SMART: Scene-motion-aware human action recognition framework for mental disorder group
2406.04649
https://arxiv.org/abs/2406.04649v1
https://arxiv.org/pdf/2406.04649v1.pdf
https://github.com/inowlzy/smart
true
true
true
pytorch
https://paperswithcode.com/paper/mambamos-lidar-based-3d-moving-object
MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model
2404.12794
https://arxiv.org/abs/2404.12794v2
https://arxiv.org/pdf/2404.12794v2.pdf
https://github.com/terminal-k/mambamos
true
true
true
pytorch
https://paperswithcode.com/paper/learning-interpretable-collective-variables
Learning Interpretable Collective Variables for Spreading Processes on Networks
2307.03491
https://arxiv.org/abs/2307.03491v3
https://arxiv.org/pdf/2307.03491v3.pdf
https://github.com/lueckem/spreading-processes-cvs
true
true
true
none
https://paperswithcode.com/paper/a-conic-transformation-approach-for-solving
A Conic Transformation Approach for Solving the Perspective-Three-Point Problem
2504.01620
https://arxiv.org/abs/2504.01620v1
https://arxiv.org/pdf/2504.01620v1.pdf
https://github.com/hayden-86/p3p-solver
true
false
false
none
https://paperswithcode.com/paper/fastclip-a-suite-of-optimization-techniques
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources
2407.01445
https://arxiv.org/abs/2407.01445v3
https://arxiv.org/pdf/2407.01445v3.pdf
https://github.com/optimization-ai/fast_clip
true
true
true
pytorch
https://paperswithcode.com/paper/reverse-map-projections-as-equivariant
Reverse Map Projections as Equivariant Quantum Embeddings
2407.19906
https://arxiv.org/abs/2407.19906v2
https://arxiv.org/pdf/2407.19906v2.pdf
https://github.com/kezmcd1903/equivariant_qnns
true
true
false
none
https://paperswithcode.com/paper/autostory-generating-diverse-storytelling
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
2311.11243
https://arxiv.org/abs/2311.11243v1
https://arxiv.org/pdf/2311.11243v1.pdf
https://github.com/aim-uofa/AutoStory
true
false
true
none
https://paperswithcode.com/paper/hierarchical-temporal-convolution-network
Hierarchical Temporal Convolution Network:Towards Privacy-Centric Activity Recognition
null
https://www.researchgate.net/publication/387230107_Hierarchical_Temporal_Convolution_Network_Towards_Privacy-Centric_Activity_Recognition
https://www.researchgate.net/publication/387230107_Hierarchical_Temporal_Convolution_Network_Towards_Privacy-Centric_Activity_Recognition
https://github.com/Gbouna/HT-ConvNet
false
true
false
pytorch
https://paperswithcode.com/paper/weakest-precondition-reasoning-for-expected
Weakest Precondition Reasoning for Expected Run-Times of Probabilistic Programs
1601.01001
http://arxiv.org/abs/1601.01001v2
http://arxiv.org/pdf/1601.01001v2.pdf
https://github.com/maxhaslbeck/verERT
false
false
true
none
https://paperswithcode.com/paper/generating-geographically-and-economically
Generating geographically and economically realistic large-scale synthetic contact networks: A general method using publicly available data
2406.14698
https://arxiv.org/abs/2406.14698v1
https://arxiv.org/pdf/2406.14698v1.pdf
https://github.com/cddep-dc/greasypop-co
true
true
true
none
https://paperswithcode.com/paper/chat-ai-a-seamless-slurm-native-solution-for
Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services
2407.00110
https://arxiv.org/abs/2407.00110v2
https://arxiv.org/pdf/2407.00110v2.pdf
https://github.com/gwdg/chat-ai
true
true
true
none
https://paperswithcode.com/paper/dense-neural-network-based-arrhythmia
Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller
2504.03531
https://arxiv.org/abs/2504.03531v1
https://arxiv.org/pdf/2504.03531v1.pdf
https://github.com/mohammedz666/denseecgmicro
true
true
false
none
https://paperswithcode.com/paper/batchtopk-sparse-autoencoders
BatchTopK Sparse Autoencoders
2412.06410
https://arxiv.org/abs/2412.06410v1
https://arxiv.org/pdf/2412.06410v1.pdf
https://github.com/bartbussmann/batchtopk
true
true
false
pytorch
https://paperswithcode.com/paper/dual-stream-feature-augmentation-for-domain
Dual-stream Feature Augmentation for Domain Generalization
2409.04699
https://arxiv.org/abs/2409.04699v1
https://arxiv.org/pdf/2409.04699v1.pdf
https://github.com/alusi123/dfa
true
true
false
pytorch
https://paperswithcode.com/paper/spinhex-a-low-crosstalk-spin-qubit
SpinHex: A low-crosstalk, spin-qubit architecture based on multi-electron couplers
2504.03149
https://arxiv.org/abs/2504.03149v1
https://arxiv.org/pdf/2504.03149v1.pdf
https://github.com/pschnabl/spin-qubit-mec-surface-code
true
true
true
none
https://paperswithcode.com/paper/fast-gradient-free-optimization-of
Fast gradient-free optimization of excitations in variational quantum eigensolvers
2409.05939
https://arxiv.org/abs/2409.05939v2
https://arxiv.org/pdf/2409.05939v2.pdf
https://github.com/dlr-wf/ExcitationSolve
true
false
true
none
https://paperswithcode.com/paper/federated-transformer-multi-party-vertical
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
2410.17986
https://arxiv.org/abs/2410.17986v1
https://arxiv.org/pdf/2410.17986v1.pdf
https://github.com/xtra-computing/fet
true
true
true
pytorch
https://paperswithcode.com/paper/genudc-high-quality-3d-mesh-generation-with
GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation
2410.17802
https://arxiv.org/abs/2410.17802v1
https://arxiv.org/pdf/2410.17802v1.pdf
https://github.com/trepangcat/genudc
true
true
false
none
https://paperswithcode.com/paper/cascrnet-an-atrous-spatial-pyramid-pooling
CASCRNet: An Atrous Spatial Pyramid Pooling and Shared Channel Residual based Network for Capsule Endoscopy
2410.17863
https://arxiv.org/abs/2410.17863v2
https://arxiv.org/pdf/2410.17863v2.pdf
https://github.com/Manvith-Prabhu/Capsule-Vision-2024
true
false
true
tf
https://paperswithcode.com/paper/off-policy-maximum-entropy-rl-with-future
Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures
2412.06655
https://arxiv.org/abs/2412.06655v1
https://arxiv.org/pdf/2412.06655v1.pdf
https://github.com/adrienBolland/future-visitation-exploration
true
false
true
pytorch
https://paperswithcode.com/paper/lamda-a-longitudinal-android-malware
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
2505.18551
https://arxiv.org/abs/2505.18551v1
https://arxiv.org/pdf/2505.18551v1.pdf
https://github.com/iqsec-lab/lamda
true
true
true
pytorch
https://paperswithcode.com/paper/allenoise-large-scale-text-classification
AlleNoise: large-scale text classification benchmark dataset with real-world label noise
2407.10992
https://arxiv.org/abs/2407.10992v2
https://arxiv.org/pdf/2407.10992v2.pdf
https://github.com/allegro/allenoise
true
true
false
pytorch
https://paperswithcode.com/paper/jess-designing-embodied-ai-for-interactive
Jess+: designing embodied AI for interactive music-making
2412.06469
https://arxiv.org/abs/2412.06469v1
https://arxiv.org/pdf/2412.06469v1.pdf
https://github.com/DigiScore/jess_plus
true
true
false
none
https://paperswithcode.com/paper/d2styler-advancing-arbitrary-style-transfer
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods
2408.03558
https://arxiv.org/abs/2408.03558v1
https://arxiv.org/pdf/2408.03558v1.pdf
https://github.com/onkarsus13/d2styler
true
true
true
jax
https://paperswithcode.com/paper/lauragpt-listen-attend-understand-and
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
2310.04673
https://arxiv.org/abs/2310.04673v4
https://arxiv.org/pdf/2310.04673v4.pdf
https://github.com/modelscope/FunCodec
false
false
true
pytorch
https://paperswithcode.com/paper/improving-intervention-efficacy-via-concept
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
2405.01531
https://arxiv.org/abs/2405.01531v2
https://arxiv.org/pdf/2405.01531v2.pdf
https://github.com/explainableml/concept_realignment
true
true
true
pytorch
https://paperswithcode.com/paper/wm-net-robust-deep-3d-watermarking-with
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
2307.11628
https://arxiv.org/abs/2307.11628v2
https://arxiv.org/pdf/2307.11628v2.pdf
https://github.com/Xyronix99/Deep3DMark
true
false
true
pytorch
https://paperswithcode.com/paper/efficacy-of-modern-neuro-evolutionary
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization
1912.05239
https://arxiv.org/abs/1912.05239v2
https://arxiv.org/pdf/1912.05239v2.pdf
https://github.com/PaoloP84/EfficacyModernES
true
true
false
none
https://paperswithcode.com/paper/fine-tuning-large-language-models-for-entity
Fine-tuning Large Language Models for Entity Matching
2409.08185
https://arxiv.org/abs/2409.08185v2
https://arxiv.org/pdf/2409.08185v2.pdf
https://github.com/wbsg-uni-mannheim/tailormatch
true
true
true
pytorch
https://paperswithcode.com/paper/grid-a-next-generation-data-parallel-c-qcd
Grid: A next generation data parallel C++ QCD library
1512.03487
http://arxiv.org/abs/1512.03487v1
http://arxiv.org/pdf/1512.03487v1.pdf
https://github.com/edbennett/grid_epcc
false
false
true
none
https://paperswithcode.com/paper/demonstration-of-an-ai-driven-workflow-for
Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy
2301.05286
https://arxiv.org/abs/2301.05286v1
https://arxiv.org/pdf/2301.05286v1.pdf
https://github.com/yatagarasu50469/slads
false
false
true
tf
https://paperswithcode.com/paper/empirical-evaluation-of-normalizing-flows-in
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
2412.17136
https://arxiv.org/abs/2412.17136v1
https://arxiv.org/pdf/2412.17136v1.pdf
https://github.com/davidnabergoj/nfmc
true
true
true
pytorch
https://paperswithcode.com/paper/multi-agent-motion-planning-from-signal
Multi-agent Motion Planning from Signal Temporal Logic Specifications
2201.05247
https://arxiv.org/abs/2201.05247v1
https://arxiv.org/pdf/2201.05247v1.pdf
https://github.com/Tass0sm/stl_planner
false
false
true
pytorch
https://paperswithcode.com/paper/a-novel-metric-for-assessing-climatological
A novel metric for assessing climatological surface habitability
2407.05838
https://arxiv.org/abs/2407.05838v2
https://arxiv.org/pdf/2407.05838v2.pdf
https://github.com/hannahwoodward/2024-hab-metrics
true
true
true
none
https://paperswithcode.com/paper/global-benchmark-database
Global Benchmark Database
2405.10045
https://arxiv.org/abs/2405.10045v2
https://arxiv.org/pdf/2405.10045v2.pdf
https://github.com/Udopia/gbdc
true
false
false
none