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/findver-explainable-claim-verification-over
FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
2411.05764
https://arxiv.org/abs/2411.05764v1
https://arxiv.org/pdf/2411.05764v1.pdf
https://github.com/yilunzhao/FinDVer
true
true
true
pytorch
https://paperswithcode.com/paper/optimal-high-frequency-trading-with-limit-and
Optimal High Frequency Trading with limit and market orders
1106.5040
https://arxiv.org/abs/1106.5040v1
https://arxiv.org/pdf/1106.5040v1.pdf
https://github.com/lcsrodriguez/optimalHFT
false
false
true
none
https://paperswithcode.com/paper/transferable-selective-virtual-sensing-active
Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning
2409.05470
https://arxiv.org/abs/2409.05470v1
https://arxiv.org/pdf/2409.05470v1.pdf
https://github.com/Wang-Boxiang/Transferable-Selective-Virtual-Sensing-Active-Noise-Control
true
false
true
pytorch
https://paperswithcode.com/paper/gx2mol-de-novo-generation-of-hit-like
De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning
2412.19422
https://arxiv.org/abs/2412.19422v2
https://arxiv.org/pdf/2412.19422v2.pdf
https://github.com/naruto7283/gx2mol
true
true
false
pytorch
https://paperswithcode.com/paper/generalized-uncertainty-based-evidential
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
2412.19418
https://arxiv.org/abs/2412.19418v1
https://arxiv.org/pdf/2412.19418v1.pdf
https://github.com/heyuanpengpku/guef
true
true
false
pytorch
https://paperswithcode.com/paper/recurrent-neural-networks-with-top-k-gains
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
1706.03847
http://arxiv.org/abs/1706.03847v3
http://arxiv.org/pdf/1706.03847v3.pdf
https://github.com/otto-de/recsys-dataset
false
false
true
none
https://paperswithcode.com/paper/an-open-dataset-for-oracle-bone-script
An open dataset for oracle bone script recognition and decipherment
2401.15365
https://arxiv.org/abs/2401.15365v4
https://arxiv.org/pdf/2401.15365v4.pdf
https://github.com/yuliang-liu/open-oracle
true
true
true
none
https://paperswithcode.com/paper/pareto-front-approximation-for-multi
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
2407.16828
https://arxiv.org/abs/2407.16828v3
https://arxiv.org/pdf/2407.16828v3.pdf
https://github.com/otto-de/recsys-dataset
true
false
true
none
https://paperswithcode.com/paper/180809781
Self-Attentive Sequential Recommendation
1808.09781
http://arxiv.org/abs/1808.09781v1
http://arxiv.org/pdf/1808.09781v1.pdf
https://github.com/otto-de/recsys-dataset
false
false
true
none
https://paperswithcode.com/paper/question-attentive-review-level-for-neural
Question-Attentive Review-Level for Neural Rating Regression
null
https://dl.acm.org/doi/10.1145/3699516
https://dl.acm.org/doi/pdf/10.1145/3699516
https://github.com/PreferredAI/QuestER
false
false
false
tf
https://paperswithcode.com/paper/floating-point-neural-networks-are-provably
Floating-Point Neural Networks Are Provably Robust Universal Approximators
2506.16065
https://arxiv.org/abs/2506.16065v1
https://arxiv.org/pdf/2506.16065v1.pdf
https://github.com/yechanp/floating-point-iua-theorem
true
true
false
none
https://paperswithcode.com/paper/imageref-vl-enabling-contextual-image
ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models
2501.12418
https://arxiv.org/abs/2501.12418v1
https://arxiv.org/pdf/2501.12418v1.pdf
https://github.com/bytedance/imageref-vl
true
true
false
pytorch
https://paperswithcode.com/paper/solving-high-dimensional-pdes-with-latent
Solving High-Dimensional PDEs with Latent Spectral Models
2301.12664
https://arxiv.org/abs/2301.12664v3
https://arxiv.org/pdf/2301.12664v3.pdf
https://github.com/thuml/Latent-Spectral-Models
true
true
true
pytorch
https://paperswithcode.com/paper/stmdnet-a-lightweight-directional-framework
STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets
2501.13054
https://arxiv.org/abs/2501.13054v1
https://arxiv.org/pdf/2501.13054v1.pdf
https://github.com/mingshuoxu/stmdnet
true
true
true
none
https://paperswithcode.com/paper/vpi-bench-visual-prompt-injection-attacks-for
VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents
2506.02456
https://arxiv.org/abs/2506.02456v1
https://arxiv.org/pdf/2506.02456v1.pdf
https://github.com/cua-framework/agents
true
true
false
none
https://paperswithcode.com/paper/learning-partonomic-3d-reconstruction-from
Learning Partonomic 3D Reconstruction from Image Collections
null
http://openaccess.thecvf.com//content/CVPR2025/html/Ruan_Learning_Partonomic_3D_Reconstruction_from_Image_Collections_CVPR_2025_paper.html
http://openaccess.thecvf.com//content/CVPR2025/papers/Ruan_Learning_Partonomic_3D_Reconstruction_from_Image_Collections_CVPR_2025_paper.pdf
https://github.com/xiaoqianruan1/partonomic_reconstruction
true
true
false
none
https://paperswithcode.com/paper/stress-testing-machine-generated-text
Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors
2505.24523
https://arxiv.org/abs/2505.24523v1
https://arxiv.org/pdf/2505.24523v1.pdf
https://github.com/gpucce/control_mgt
true
true
true
pytorch
https://paperswithcode.com/paper/videocad-a-large-scale-video-dataset-for
VideoCAD: A Large-Scale Video Dataset for Learning UI Interactions and 3D Reasoning from CAD Software
2505.24838
https://arxiv.org/abs/2505.24838v1
https://arxiv.org/pdf/2505.24838v1.pdf
https://github.com/brandonman123/videocad
true
true
false
pytorch
https://paperswithcode.com/paper/specklenn-a-unified-embedding-for-real-time
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples
2302.06895
https://arxiv.org/abs/2302.06895v1
https://arxiv.org/pdf/2302.06895v1.pdf
https://github.com/carbonscott/speckleNN
false
false
false
pytorch
https://paperswithcode.com/paper/tracing-knowledge-instead-of-paterns-stable
Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic Transformer
null
https://dl.acm.org/doi/abs/10.1145/3543507.3583255
https://dl.acm.org/doi/abs/10.1145/3543507.3583255
https://github.com/yxonic/DTransformer
false
true
false
pytorch
https://paperswithcode.com/paper/what-limits-llm-based-human-simulation-llms
What Limits LLM-based Human Simulation: LLMs or Our Design?
2501.08579
https://arxiv.org/abs/2501.08579v1
https://arxiv.org/pdf/2501.08579v1.pdf
https://github.com/persdre/llm-human-simulation
true
true
false
none
https://paperswithcode.com/paper/certified-robustness-under-bounded
Certified Robustness Under Bounded Levenshtein Distance
2501.13676
https://arxiv.org/abs/2501.13676v1
https://arxiv.org/pdf/2501.13676v1.pdf
https://github.com/lions-epfl/lipslev
true
true
false
pytorch
https://paperswithcode.com/paper/learning-to-explain-recommendations
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance
2102.00627
https://arxiv.org/abs/2102.00627v4
https://arxiv.org/pdf/2102.00627v4.pdf
https://github.com/lileipisces/bper
true
true
true
pytorch
https://paperswithcode.com/paper/attractor-based-coevolving-dot-product-random
Attractor-Based Coevolving Dot Product Random Graph Model
2505.02675
https://arxiv.org/abs/2505.02675v1
https://arxiv.org/pdf/2505.02675v1.pdf
https://github.com/Shiwen-Yang/ABCDPRGM
true
false
false
pytorch
https://paperswithcode.com/paper/onlyflow-optical-flow-based-motion
OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models
2411.10501
https://arxiv.org/abs/2411.10501v1
https://arxiv.org/pdf/2411.10501v1.pdf
https://github.com/obvious-research/OnlyFlow
false
false
true
pytorch
https://paperswithcode.com/paper/token-weighting-for-long-range-language
Token Weighting for Long-Range Language Modeling
2503.09202
https://arxiv.org/abs/2503.09202v1
https://arxiv.org/pdf/2503.09202v1.pdf
https://github.com/ukplab/naacl2025-token-weighting
true
true
true
pytorch
https://paperswithcode.com/paper/interpretable-rna-foundation-model-from
Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
2204.00300
https://arxiv.org/abs/2204.00300v5
https://arxiv.org/pdf/2204.00300v5.pdf
https://github.com/lulab/OligoFormer
false
false
true
none
https://paperswithcode.com/paper/chatbot-arena-an-open-platform-for-evaluating
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
2403.04132
https://arxiv.org/abs/2403.04132v1
https://arxiv.org/pdf/2403.04132v1.pdf
https://github.com/aken12/LLM-based-QE-fails
false
false
true
none
https://paperswithcode.com/paper/towards-effective-and-efficient-context-aware
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images
2503.05678
https://arxiv.org/abs/2503.05678v1
https://arxiv.org/pdf/2503.05678v1.pdf
https://github.com/windygoo/pathcontext
true
true
false
none
https://paperswithcode.com/paper/misspelling-oblivious-word-embeddings
Misspelling Oblivious Word Embeddings
1905.09755
https://arxiv.org/abs/1905.09755v1
https://arxiv.org/pdf/1905.09755v1.pdf
https://github.com/dleemiller/string-noise
false
false
true
none
https://paperswithcode.com/paper/sparsity-promoting-reachability-analysis-and
Sparsity-Promoting Reachability Analysis and Optimization of Constrained Zonotopes
2504.03885
https://arxiv.org/abs/2504.03885v1
https://arxiv.org/pdf/2504.03885v1.pdf
https://github.com/psu-PAC-Lab/ZonoOpt
true
false
true
none
https://paperswithcode.com/paper/rejshand-efficient-real-time-hand-pose
ReJSHand: Efficient Real-Time Hand Pose Estimation and Mesh Reconstruction Using Refined Joint and Skeleton Features
2503.05995
https://arxiv.org/abs/2503.05995v1
https://arxiv.org/pdf/2503.05995v1.pdf
https://github.com/daishipeng/rejshand
true
true
false
pytorch
https://paperswithcode.com/paper/hierdamap-towards-universal-domain-adaptive
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective Priors
2503.06821
https://arxiv.org/abs/2503.06821v1
https://arxiv.org/pdf/2503.06821v1.pdf
https://github.com/lynn-yu/hierdamap
true
true
true
pytorch
https://paperswithcode.com/paper/bi-level-optimization-for-parameter
Bi-Level optimization for parameter estimation of differential equations using interpolation
2506.00720
https://arxiv.org/abs/2506.00720v1
https://arxiv.org/pdf/2506.00720v1.pdf
https://github.com/siddharth-prabhu/bilevelparameterestimation
true
true
true
jax
https://paperswithcode.com/paper/learning-to-localize-leakage-of-cryptographic
Learning to Localize Leakage of Cryptographic Sensitive Variables
2503.07464
https://arxiv.org/abs/2503.07464v1
https://arxiv.org/pdf/2503.07464v1.pdf
https://github.com/jimgammell/learning_to_localize_leakage
true
true
true
pytorch
https://paperswithcode.com/paper/drawing-a-map-of-elections
Drawing a Map of Elections
2504.03809
https://arxiv.org/abs/2504.03809v2
https://arxiv.org/pdf/2504.03809v2.pdf
https://github.com/Project-PRAGMA/Journal---Drawing-a-Map-of-Elections
true
false
false
none
https://paperswithcode.com/paper/an-adaptively-inexact-method-for-bilevel
An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation
2412.06436
https://arxiv.org/abs/2412.06436v3
https://arxiv.org/pdf/2412.06436v3.pdf
https://github.com/MohammadSadeghSalehi/Analytical-Deep-Priors
false
false
true
pytorch
https://paperswithcode.com/paper/a-simulation-study-to-compare-210pb-dating
A simulation study to compare 210Pb dating data analyses
2012.06819
https://arxiv.org/abs/2012.06819v1
https://arxiv.org/pdf/2012.06819v1.pdf
https://github.com/maquinolopez/Paper_Simulations
true
true
true
none
https://paperswithcode.com/paper/good-colour-maps-how-to-design-them
Good Colour Maps: How to Design Them
1509.03700
http://arxiv.org/abs/1509.03700v1
http://arxiv.org/pdf/1509.03700v1.pdf
https://github.com/holoviz/colorcet
false
false
true
none
https://paperswithcode.com/paper/clustering-the-nearest-neighbor-gaussian
Clustering the Nearest Neighbor Gaussian Process
2501.10656
https://arxiv.org/abs/2501.10656v1
https://arxiv.org/pdf/2501.10656v1.pdf
https://github.com/ashlynn-c/cnngp
true
true
false
none
https://paperswithcode.com/paper/ceresa-cycles-of-x-0-n
Ceresa Cycles of $X_{0}(N)$
2501.14060
https://arxiv.org/abs/2501.14060v2
https://arxiv.org/pdf/2501.14060v2.pdf
https://github.com/jameswrawson/modularceresa
true
true
false
none
https://paperswithcode.com/paper/event-based-motion-segmentation-by-cascaded
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting
2111.03483
https://arxiv.org/abs/2111.03483v1
https://arxiv.org/pdf/2111.03483v1.pdf
https://github.com/hkust-aerial-robotics/emsgc
false
false
true
none
https://paperswithcode.com/paper/certified-knowledge-compilation-with
Certified Knowledge Compilation with Application to Formally Verified Model Counting
2501.12906
https://arxiv.org/abs/2501.12906v1
https://arxiv.org/pdf/2501.12906v1.pdf
https://github.com/rebryant/cpog
true
true
false
none
https://paperswithcode.com/paper/safe-interval-randomized-path-planing-for
Safe Interval Randomized Path Planning For Manipulators
2412.19567
https://arxiv.org/abs/2412.19567v2
https://arxiv.org/pdf/2412.19567v2.pdf
https://github.com/pathplanning/manipulationplanning-si-rrt
true
true
true
none
https://paperswithcode.com/paper/langevin-soft-actor-critic-efficient
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
2501.17827
https://arxiv.org/abs/2501.17827v1
https://arxiv.org/pdf/2501.17827v1.pdf
https://github.com/hmishfaq/lsac
true
true
false
pytorch
https://paperswithcode.com/paper/2ssp-a-two-stage-framework-for-structured
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
2501.17771
https://arxiv.org/abs/2501.17771v1
https://arxiv.org/pdf/2501.17771v1.pdf
https://github.com/fabriziosandri/2ssp
true
true
true
none
https://paperswithcode.com/paper/recovery-policies-for-safe-exploration-of
Recovery Policies for Safe Exploration of Lunar Permanently Shadowed Regions by a Solar-Powered Rover
2307.16786
https://arxiv.org/abs/2307.16786v2
https://arxiv.org/pdf/2307.16786v2.pdf
https://github.com/utiasSTARS/gplanetary-nav
true
false
true
none
https://paperswithcode.com/paper/estimating-adult-death-rates-from-sibling
Estimating adult death rates from sibling histories: A network approach
1906.12000
http://arxiv.org/abs/1906.12000v1
http://arxiv.org/pdf/1906.12000v1.pdf
https://github.com/dfeehan/siblingsurvival
true
true
true
none
https://paperswithcode.com/paper/u-net-convolutional-networks-for-biomedical
U-Net: Convolutional Networks for Biomedical Image Segmentation
1505.04597
http://arxiv.org/abs/1505.04597v1
http://arxiv.org/pdf/1505.04597v1.pdf
https://github.com/sk1123344/U-2-NET-and-U-NET
false
false
true
pytorch
https://paperswithcode.com/paper/u-2-net-going-deeper-with-nested-u-structure
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
2005.09007
https://arxiv.org/abs/2005.09007v3
https://arxiv.org/pdf/2005.09007v3.pdf
https://github.com/sk1123344/U-2-NET-and-U-NET
false
false
true
pytorch
https://paperswithcode.com/paper/large-scale-cross-modality-pretrained-model
Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study AI for ECG to CMR Translation Study
2411.13602
https://arxiv.org/abs/2411.13602v2
https://arxiv.org/pdf/2411.13602v2.pdf
https://github.com/yukui-1999/ecg-cmr
true
true
true
pytorch
https://paperswithcode.com/paper/motion-x-a-large-scale-multimodal-3d-whole
Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset
2501.05098
https://arxiv.org/abs/2501.05098v1
https://arxiv.org/pdf/2501.05098v1.pdf
https://github.com/idea-research/motion-x
false
false
true
pytorch
https://paperswithcode.com/paper/sample-based-krylov-quantum-diagonalization
Quantum-Centric Algorithm for Sample-Based Krylov Diagonalization
2501.09702
https://arxiv.org/abs/2501.09702v2
https://arxiv.org/pdf/2501.09702v2.pdf
https://github.com/qiskit/qiskit-addon-sqd
true
true
true
jax
https://paperswithcode.com/paper/uniocc-a-unified-benchmark-for-occupancy
UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving
2503.24381
https://arxiv.org/abs/2503.24381v1
https://arxiv.org/pdf/2503.24381v1.pdf
https://github.com/tasl-lab/uniocc
true
true
true
pytorch
https://paperswithcode.com/paper/schemaagent-a-multi-agents-framework-for
SchemaAgent: A Multi-Agents Framework for Generating Relational Database Schema
2503.23886
https://arxiv.org/abs/2503.23886v1
https://arxiv.org/pdf/2503.23886v1.pdf
https://github.com/hnugraph/llm4dbdesign
true
true
false
none
https://paperswithcode.com/paper/quantum-computing-of-reacting-flows-via
Quantum computing of reacting flows via Hamiltonian simulation
2312.07893
https://arxiv.org/abs/2312.07893v3
https://arxiv.org/pdf/2312.07893v3.pdf
https://github.com/YYgroup/qcReactingFlows
true
false
true
none
https://paperswithcode.com/paper/focusedad-character-centric-movie-audio
FocusedAD: Character-centric Movie Audio Description
2504.12157
https://arxiv.org/abs/2504.12157v3
https://arxiv.org/pdf/2504.12157v3.pdf
https://github.com/thorin215/focusedad
true
true
false
pytorch
https://paperswithcode.com/paper/mass-moerging-through-adaptive-subspace
MASS: MoErging through Adaptive Subspace Selection
2504.05342
https://arxiv.org/abs/2504.05342v1
https://arxiv.org/pdf/2504.05342v1.pdf
https://github.com/crisostomi/mass
false
true
false
pytorch
https://paperswithcode.com/paper/exponential-quantum-speedup-for-simulating
Exponential Quantum Speedup for Simulating Classical Lattice Dynamics
2504.05453
https://arxiv.org/abs/2504.05453v1
https://arxiv.org/pdf/2504.05453v1.pdf
https://github.com/xxl12/quantum-algorithms-lattice-dynamics
true
true
false
none
https://paperswithcode.com/paper/predicting-cascade-failures-in-interdependent
Predicting Cascade Failures in Interdependent Urban Infrastructure Networks
2503.02890
https://arxiv.org/abs/2503.02890v1
https://arxiv.org/pdf/2503.02890v1.pdf
https://github.com/tsinghua-fib-lab/icube
true
true
false
pytorch
https://paperswithcode.com/paper/synthesizing-permissive-winning-strategy
Synthesizing Permissive Winning Strategy Templates for Parity Games
2305.14026
https://arxiv.org/abs/2305.14026v2
https://arxiv.org/pdf/2305.14026v2.pdf
https://github.com/satya2009rta/pestel
true
true
true
none
https://paperswithcode.com/paper/seaformer-squeeze-enhanced-axial-transformer
SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition
2301.13156
https://arxiv.org/abs/2301.13156v5
https://arxiv.org/pdf/2301.13156v5.pdf
https://github.com/fudan-zvg/seaformer
true
true
true
pytorch
https://paperswithcode.com/paper/curvature-tuning-provable-training-free-model
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
2502.07783
https://arxiv.org/abs/2502.07783v1
https://arxiv.org/pdf/2502.07783v1.pdf
https://github.com/leon-leyang/curvature-tuning
true
true
true
pytorch
https://paperswithcode.com/paper/on-the-randomized-horn-problem-and-the
On the randomized Horn problem and the surface tension of hives
2410.12619
https://arxiv.org/abs/2410.12619v3
https://arxiv.org/pdf/2410.12619v3.pdf
https://github.com/aalok1993/combinatorial-hives
true
true
true
none
https://paperswithcode.com/paper/less-is-more-one-shot-subgraph-reasoning-on
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
2403.10231
https://arxiv.org/abs/2403.10231v2
https://arxiv.org/pdf/2403.10231v2.pdf
https://github.com/tmlr-group/one-shot-subgraph
true
true
true
pytorch
https://paperswithcode.com/paper/template-based-financial-report-generation-in
Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval
2504.14233
https://arxiv.org/abs/2504.14233v1
https://arxiv.org/pdf/2504.14233v1.pdf
https://github.com/bryant-nn/template-based-financial-report-generation
true
true
true
none
https://paperswithcode.com/paper/teach-me-how-to-denoise-a-universal-framework
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
2504.14214
https://arxiv.org/abs/2504.14214v1
https://arxiv.org/pdf/2504.14214v1.pdf
https://github.com/neon-jing/guider
true
true
false
pytorch
https://paperswithcode.com/paper/deepretrieval-powerful-query-generation-for
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
2503.00223
https://arxiv.org/abs/2503.00223v3
https://arxiv.org/pdf/2503.00223v3.pdf
https://github.com/pat-jj/deepretrieval
true
true
true
pytorch
https://paperswithcode.com/paper/zooming-in-on-fakes-a-novel-dataset-for
Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach
2504.11922
https://arxiv.org/abs/2504.11922v2
https://arxiv.org/pdf/2504.11922v2.pdf
https://github.com/clpbc/br-gen
true
true
true
pytorch
https://paperswithcode.com/paper/distilling-heterogeneous-treatment-effects
Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
2502.07275
https://arxiv.org/abs/2502.07275v2
https://arxiv.org/pdf/2502.07275v2.pdf
https://github.com/tiffanymtang/causalDT
true
false
true
none
https://paperswithcode.com/paper/window-token-concatenation-for-efficient
Window Token Concatenation for Efficient Visual Large Language Models
2504.04024
https://arxiv.org/abs/2504.04024v1
https://arxiv.org/pdf/2504.04024v1.pdf
https://github.com/jackyfl/wico
true
true
true
pytorch
https://paperswithcode.com/paper/instability-analysis-of-massive-static
Instability Analysis of Massive Static Phantom Wormholes via the Spectral Method
2502.05486
https://arxiv.org/abs/2502.05486v1
https://arxiv.org/pdf/2502.05486v1.pdf
https://github.com/dutykh/EllisBronnikov
true
false
false
none
https://paperswithcode.com/paper/leveraging-allophony-in-self-supervised
Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment
2502.07029
https://arxiv.org/abs/2502.07029v2
https://arxiv.org/pdf/2502.07029v2.pdf
https://github.com/juice500ml/acoustic-units-for-ood
true
true
true
pytorch
https://paperswithcode.com/paper/progressive-confident-masking-attention
Progressive Confident Masking Attention Network for Audio-Visual Segmentation
2406.02345
https://arxiv.org/abs/2406.02345v2
https://arxiv.org/pdf/2406.02345v2.pdf
https://github.com/prettyplate/pcmanet
true
true
true
pytorch
https://paperswithcode.com/paper/fluorescence-detected-two-dimensional
Fluorescence-detected two-dimensional electronic spectroscopy of a single molecule
2407.09200
https://arxiv.org/abs/2407.09200v1
https://arxiv.org/pdf/2407.09200v1.pdf
https://github.com/Lippitz-Lab/PLL-on-FPGA
false
false
true
none
https://paperswithcode.com/paper/detection-friendly-nonuniformity-correction-a
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection
2504.04012
https://arxiv.org/abs/2504.04012v1
https://arxiv.org/pdf/2504.04012v1.pdf
https://github.com/IVPLaboratory/UniCD
true
true
true
none
https://paperswithcode.com/paper/cross-modal-and-uncertainty-aware
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
2503.16707
https://arxiv.org/abs/2503.16707v2
https://arxiv.org/pdf/2503.16707v2.pdf
https://github.com/tyroneli/cua_o3d
true
true
true
pytorch
https://paperswithcode.com/paper/litecua-computer-as-mcp-server-for-computer
LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS
2505.18829
https://arxiv.org/abs/2505.18829v1
https://arxiv.org/pdf/2505.18829v1.pdf
https://github.com/agiresearch/cerebrum
false
false
true
none
https://paperswithcode.com/paper/zero-execution-retrieval-augmented
Zero-Execution Retrieval-Augmented Configuration Tuning of Spark Applications
2503.03826
https://arxiv.org/abs/2503.03826v1
https://arxiv.org/pdf/2503.03826v1.pdf
https://github.com/layer6ai-labs/spark-retrieval-tuning
true
true
true
none
https://paperswithcode.com/paper/lightweight-and-direct-document-relevance
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
2504.05181
https://arxiv.org/abs/2504.05181v2
https://arxiv.org/pdf/2504.05181v2.pdf
https://github.com/kidist-amde/ddro
true
true
true
pytorch
https://paperswithcode.com/paper/direct-preference-optimization-your-language
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
2305.18290
https://arxiv.org/abs/2305.18290v3
https://arxiv.org/pdf/2305.18290v3.pdf
https://github.com/kidist-amde/ddro
false
false
true
pytorch
https://paperswithcode.com/paper/190600121
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
1906.00121
https://arxiv.org/abs/1906.00121v1
https://arxiv.org/pdf/1906.00121v1.pdf
https://github.com/razvanc92/enhancenet
false
false
true
pytorch
https://paperswithcode.com/paper/diffusion-convolutional-recurrent-neural
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
1707.01926
http://arxiv.org/abs/1707.01926v3
http://arxiv.org/pdf/1707.01926v3.pdf
https://github.com/razvanc92/enhancenet
false
false
true
pytorch
https://paperswithcode.com/paper/fecfusion-infrared-and-visible-image-fusion
FECFusion: Infrared and visible image fusion network based on fast edge convolution
null
https://www.aimspress.com/article/doi/10.3934/mbe.2023717
https://www.aimspress.com/article/doi/10.3934/mbe.2023717
https://github.com/qingchen2333/FECFusion
false
false
false
pytorch
https://paperswithcode.com/paper/rs-del-edit-distance-robustness-certificates-1
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
2302.01757
https://arxiv.org/abs/2302.01757v3
https://arxiv.org/pdf/2302.01757v3.pdf
https://github.com/lions-epfl/lipslev
false
false
true
pytorch
https://paperswithcode.com/paper/unveiling-implicit-table-knowledge-with
Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
2406.12269
https://arxiv.org/abs/2406.12269v2
https://arxiv.org/pdf/2406.12269v2.pdf
https://github.com/tommyezreal/qtp
true
true
true
pytorch
https://paperswithcode.com/paper/jvmc-versatile-and-performant-variational
jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration
2108.03409
https://arxiv.org/abs/2108.03409v2
https://arxiv.org/pdf/2108.03409v2.pdf
https://github.com/markusschmitt/vmc_jax
true
true
true
jax
https://paperswithcode.com/paper/event-based-star-tracking-via-multiresolution
Event-based Star Tracking via Multiresolution Progressive Hough Transforms
1906.07866
https://arxiv.org/abs/1906.07866v2
https://arxiv.org/pdf/1906.07866v2.pdf
https://github.com/uzh-rpg/event-based_vision_resources
true
true
true
pytorch
https://paperswithcode.com/paper/once-bitten-twice-shy-a-modeling-framework
Once bitten, twice shy: A modeling framework for incorporating heterogeneous mosquito biting into transmission models
2503.10585
https://arxiv.org/abs/2503.10585v1
https://arxiv.org/pdf/2503.10585v1.pdf
https://github.com/kydahl/mosquito-bite-process-modeling
true
true
false
none
https://paperswithcode.com/paper/featsharp-your-vision-model-features-sharper
FeatSharp: Your Vision Model Features, Sharper
2502.16025
https://arxiv.org/abs/2502.16025v1
https://arxiv.org/pdf/2502.16025v1.pdf
https://github.com/nvlabs/radio
false
false
true
pytorch
https://paperswithcode.com/paper/refactorbench-evaluating-stateful-reasoning
RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
2503.07832
https://arxiv.org/abs/2503.07832v1
https://arxiv.org/pdf/2503.07832v1.pdf
https://github.com/microsoft/RefactorBench
true
false
false
none
https://paperswithcode.com/paper/detecting-hallucinations-in-large-language-1
Detecting hallucinations in large language models using semantic entropy
null
https://www.nature.com/articles/s41586-024-07421-0
https://www.nature.com/articles/s41586-024-07421-0.pdf
https://github.com/jlko/semantic_uncertainty
false
false
false
pytorch
https://paperswithcode.com/paper/movable-antenna-enabled-ris-aided-integrated
Movable Antenna-enabled RIS-aided Integrated Sensing and Communication
2407.03228
https://arxiv.org/abs/2407.03228v2
https://arxiv.org/pdf/2407.03228v2.pdf
https://github.com/OnePieceofCakeforYou/Movable-antenna-enabled-RIS-aided-integrated-sensing-and-communication
false
false
false
none
https://paperswithcode.com/paper/efficient-alignment-of-unconditioned-action
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
2503.09423
https://arxiv.org/abs/2503.09423v2
https://arxiv.org/pdf/2503.09423v2.pdf
https://github.com/H-Freax/ThinkGrasp
false
false
true
pytorch
https://paperswithcode.com/paper/free-form-language-based-robotic-reasoning
Free-form language-based robotic reasoning and grasping
2503.13082
https://arxiv.org/abs/2503.13082v1
https://arxiv.org/pdf/2503.13082v1.pdf
https://github.com/H-Freax/ThinkGrasp
false
false
true
pytorch
https://paperswithcode.com/paper/affordgrasp-in-context-affordance-reasoning
AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter
2503.00778
https://arxiv.org/abs/2503.00778v1
https://arxiv.org/pdf/2503.00778v1.pdf
https://github.com/H-Freax/ThinkGrasp
false
false
true
pytorch
https://paperswithcode.com/paper/tinyvla-towards-fast-data-efficient-vision
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
2409.12514
https://arxiv.org/abs/2409.12514v5
https://arxiv.org/pdf/2409.12514v5.pdf
https://github.com/liyaxuanliyaxuan/TinyVLA
false
false
true
pytorch
https://paperswithcode.com/paper/neuqi-near-optimal-uniform-quantization
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization
2505.17595
https://arxiv.org/abs/2505.17595v2
https://arxiv.org/pdf/2505.17595v2.pdf
https://github.com/efsotr/NeUQI
true
false
true
pytorch
https://paperswithcode.com/paper/rwkv-x-a-linear-complexity-hybrid-language
RWKV-X: A Linear Complexity Hybrid Language Model
2504.21463
https://arxiv.org/abs/2504.21463v2
https://arxiv.org/pdf/2504.21463v2.pdf
https://github.com/howard-hou/rwkv-x
true
true
false
none
https://paperswithcode.com/paper/mmhcl-multi-modal-hypergraph-contrastive
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
2504.16576
https://arxiv.org/abs/2504.16576v1
https://arxiv.org/pdf/2504.16576v1.pdf
https://github.com/xu107/mmhcl
true
true
true
pytorch