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

Dataset card Data Studio Files
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Community
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https://paperswithcode.com/paper/mozart-s-touch-a-lightweight-multi-modal
Mozart's Touch: A Lightweight Multi-modal Music Generation Framework Based on Pre-Trained Large Models
2405.02801
https://arxiv.org/abs/2405.02801v3
https://arxiv.org/pdf/2405.02801v3.pdf
https://github.com/tiffanyblews/mozartstouch
true
true
true
pytorch
https://paperswithcode.com/paper/matrix-free-methods-for-finite-strain
Matrix-Free Methods for Finite-Strain Elasticity: Automatic Code Generation with No Performance Overhead
2505.15535
https://arxiv.org/abs/2505.15535v1
https://arxiv.org/pdf/2505.15535v1.pdf
https://github.com/mwichro/solid-matrix-free
true
false
true
none
https://paperswithcode.com/paper/a-sequential-benders-based-mixed-integer
A Sequential Benders-based Mixed-Integer Quadratic Programming Algorithm
2404.11786
https://arxiv.org/abs/2404.11786v1
https://arxiv.org/pdf/2404.11786v1.pdf
https://github.com/minlp-toolbox/camino
false
false
true
none
https://paperswithcode.com/paper/delgrad-exact-gradients-in-spiking-networks
DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware
2404.19165
https://arxiv.org/abs/2404.19165v3
https://arxiv.org/pdf/2404.19165v3.pdf
https://github.com/JulianGoeltz/fastAndDeep
false
false
true
pytorch
https://paperswithcode.com/paper/fast-and-deep-neuromorphic-learning-with-time
Fast and energy-efficient neuromorphic deep learning with first-spike times
1912.11443
https://arxiv.org/abs/1912.11443v4
https://arxiv.org/pdf/1912.11443v4.pdf
https://github.com/JulianGoeltz/fastAndDeep
false
false
true
pytorch
https://paperswithcode.com/paper/robust-benchmarking-in-noisy-environments
Robust benchmarking in noisy environments
1608.04295
http://arxiv.org/abs/1608.04295v1
http://arxiv.org/pdf/1608.04295v1.pdf
https://github.com/stdlib-js/utils-timeit
false
false
true
none
https://paperswithcode.com/paper/using-k-medoids-for-distributed-approximate
A Parametrizable Algorithm for Distributed Approximate Similarity Search with Arbitrary Distances
2405.13795
https://arxiv.org/abs/2405.13795v3
https://arxiv.org/pdf/2405.13795v3.pdf
https://github.com/elenagarciamorato/PDASC
true
false
true
none
https://paperswithcode.com/paper/toward-memory-aided-world-models-benchmarking
Toward Memory-Aided World Models: Benchmarking via Spatial Consistency
2505.22976
https://arxiv.org/abs/2505.22976v1
https://arxiv.org/pdf/2505.22976v1.pdf
https://github.com/kevin-lkw/loopnav
true
true
false
none
https://paperswithcode.com/paper/design-of-bayesian-clinical-trials-with
Design of Bayesian Clinical Trials with Clustered Data and Multiple Endpoints
2501.13218
https://arxiv.org/abs/2501.13218v2
https://arxiv.org/pdf/2501.13218v2.pdf
https://github.com/lmhagar/clusterdocs
true
true
false
none
https://paperswithcode.com/paper/enhancing-large-language-models-through-neuro
Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
2504.07640
https://arxiv.org/abs/2504.07640v1
https://arxiv.org/pdf/2504.07640v1.pdf
https://github.com/ruslanmv/neuro-symbolic-interaction
true
true
true
none
https://paperswithcode.com/paper/inflationary-flows-calibrated-bayesian
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
2407.08843
https://arxiv.org/abs/2407.08843v3
https://arxiv.org/pdf/2407.08843v3.pdf
https://github.com/dannyfa/inflationary_flows
true
true
false
pytorch
https://paperswithcode.com/paper/tracking-changing-probabilities-via-dynamic
Tracking Changing Probabilities via Dynamic Learners
2402.10142
https://arxiv.org/abs/2402.10142v3
https://arxiv.org/pdf/2402.10142v3.pdf
https://github.com/omadanitet/sparse-moving-averages
true
true
true
none
https://paperswithcode.com/paper/kblam-knowledge-base-augmented-language-model
KBLaM: Knowledge Base augmented Language Model
2410.10450
https://arxiv.org/abs/2410.10450v1
https://arxiv.org/pdf/2410.10450v1.pdf
https://github.com/microsoft/KBLaM
true
false
true
pytorch
https://paperswithcode.com/paper/natural-language-processing-in-ethiopian
Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities
2303.14406
https://arxiv.org/abs/2303.14406v1
https://arxiv.org/pdf/2303.14406v1.pdf
https://github.com/EthioNLP/Ethiopian-Language-Survey
true
false
true
none
https://paperswithcode.com/paper/adapt-an-interactive-procedure-for-multiple
AdaPT: An interactive procedure for multiple testing with side information
1609.06035
http://arxiv.org/abs/1609.06035v4
http://arxiv.org/pdf/1609.06035v4.pdf
https://github.com/patrickrchao/adaptmt
false
false
true
none
https://paperswithcode.com/paper/efficient-spatial-dataset-search-over
Joinable Search over Multi-source Spatial Datasets: Overlap, Coverage, and Efficiency
2311.13383
https://arxiv.org/abs/2311.13383v4
https://arxiv.org/pdf/2311.13383v4.pdf
https://github.com/yangwenzhe/msds_code
true
true
true
none
https://paperswithcode.com/paper/taming-knowledge-conflicts-in-language-models
Taming Knowledge Conflicts in Language Models
2503.10996
https://arxiv.org/abs/2503.10996v1
https://arxiv.org/pdf/2503.10996v1.pdf
https://github.com/GaotangLi/JUICE
true
false
true
pytorch
https://paperswithcode.com/paper/depgraph-towards-any-structural-pruning
DepGraph: Towards Any Structural Pruning
2301.12900
https://arxiv.org/abs/2301.12900v2
https://arxiv.org/pdf/2301.12900v2.pdf
https://github.com/VainF/Torch-Pruning
true
true
true
pytorch
https://paperswithcode.com/paper/learning-efficient-convolutional-networks
Learning Efficient Convolutional Networks through Network Slimming
1708.06519
http://arxiv.org/abs/1708.06519v1
http://arxiv.org/pdf/1708.06519v1.pdf
https://github.com/VainF/Torch-Pruning
false
false
true
pytorch
https://paperswithcode.com/paper/language-guided-concept-bottleneck-models-for
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
2503.23283
https://arxiv.org/abs/2503.23283v1
https://arxiv.org/pdf/2503.23283v1.pdf
https://github.com/fishercats/clg-cbm
true
true
true
pytorch
https://paperswithcode.com/paper/ct-mamba-a-hybrid-convolutional-state-space
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
2411.07930
https://arxiv.org/abs/2411.07930v4
https://arxiv.org/pdf/2411.07930v4.pdf
https://github.com/zy2219105/ct-mamba
true
true
true
pytorch
https://paperswithcode.com/paper/high-throughput-precision-phenotyping-of-left
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning
2106.12511
https://arxiv.org/abs/2106.12511v1
https://arxiv.org/pdf/2106.12511v1.pdf
https://github.com/echonet/lvh
true
true
false
pytorch
https://paperswithcode.com/paper/open-eyes-then-reason-fine-grained-visual
Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs
2501.06430
https://arxiv.org/abs/2501.06430v1
https://arxiv.org/pdf/2501.06430v1.pdf
https://github.com/ai4math-shanzhang/sve-math
true
true
true
pytorch
https://paperswithcode.com/paper/fast-video-generation-with-sliding-tile
Fast Video Generation with Sliding Tile Attention
2502.04507
https://arxiv.org/abs/2502.04507v1
https://arxiv.org/pdf/2502.04507v1.pdf
https://github.com/hao-ai-lab/fastvideo
false
false
true
pytorch
https://paperswithcode.com/paper/data-pruning-in-generative-diffusion-models
Data Pruning in Generative Diffusion Models
2411.12523
https://arxiv.org/abs/2411.12523v2
https://arxiv.org/pdf/2411.12523v2.pdf
https://github.com/briqr/diffusion_data_pruning
true
false
true
pytorch
https://paperswithcode.com/paper/compass-enhancing-spatial-understanding-in
CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
2412.13195
https://arxiv.org/abs/2412.13195v1
https://arxiv.org/pdf/2412.13195v1.pdf
https://github.com/blurgyy/compass
true
true
true
none
https://paperswithcode.com/paper/demystify-transformers-convolutions-in-modern
Demystify Transformers & Convolutions in Modern Image Deep Networks
2211.05781
https://arxiv.org/abs/2211.05781v3
https://arxiv.org/pdf/2211.05781v3.pdf
https://github.com/opengvlab/stm-evaluation
true
true
true
pytorch
https://paperswithcode.com/paper/lcpy-an-open-source-python-package-for
lcpy: an open-source python package for parametric and dynamic Life Cycle Assessment and Life Cycle Costing
2506.13744
https://arxiv.org/abs/2506.13744v1
https://arxiv.org/pdf/2506.13744v1.pdf
https://github.com/spirdgk/lcpy
true
true
false
none
https://paperswithcode.com/paper/long-tailed-out-of-distribution-detection
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
2408.06742
https://arxiv.org/abs/2408.06742v3
https://arxiv.org/pdf/2408.06742v3.pdf
https://github.com/inar-design/patt
true
true
true
pytorch
https://paperswithcode.com/paper/beyond-data-quantity-key-factors-driving
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models
2412.12500
https://arxiv.org/abs/2412.12500v1
https://arxiv.org/pdf/2412.12500v1.pdf
https://github.com/PortNLP/SHAP-MLLM-Analysis
true
false
true
none
https://paperswithcode.com/paper/preference-oriented-supervised-fine-tuning
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model Over Aligned Large Language Models
2412.12865
https://arxiv.org/abs/2412.12865v1
https://arxiv.org/pdf/2412.12865v1.pdf
https://github.com/Savannah120/alignment-handbook-PoFT
true
false
true
pytorch
https://paperswithcode.com/paper/a-real-time-system-for-scheduling-and
A Real-Time System for Scheduling and Managing UAV Delivery in Urban
2412.11590
https://arxiv.org/abs/2412.11590v1
https://arxiv.org/pdf/2412.11590v1.pdf
https://github.com/chengji253/uavdeliverysystem
true
true
true
none
https://paperswithcode.com/paper/3d-interaction-geometric-pre-training-for
3D Interaction Geometric Pre-training for Molecular Relational Learning
2412.02957
https://arxiv.org/abs/2412.02957v1
https://arxiv.org/pdf/2412.02957v1.pdf
https://github.com/Namkyeong/3DMRL
true
false
true
pytorch
https://paperswithcode.com/paper/sfm-free-3d-gaussian-splatting-via
SfM-Free 3D Gaussian Splatting via Hierarchical Training
2412.01553
https://arxiv.org/abs/2412.01553v1
https://arxiv.org/pdf/2412.01553v1.pdf
https://github.com/jibo27/3dgs_hierarchical_training
true
true
true
pytorch
https://paperswithcode.com/paper/the-densest-swamp-problem-subhypergraphs-with
The Densest SWAMP problem: subhypergraphs with arbitrary monotonic partial edge rewards
2506.12998
https://arxiv.org/abs/2506.12998v1
https://arxiv.org/pdf/2506.12998v1.pdf
https://github.com/vedangi/densest-swamp
true
true
false
none
https://paperswithcode.com/paper/cweval-outcome-driven-evaluation-on
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
2501.08200
https://arxiv.org/abs/2501.08200v1
https://arxiv.org/pdf/2501.08200v1.pdf
https://github.com/co1lin/cweval
true
true
true
none
https://paperswithcode.com/paper/the-kfiou-loss-for-rotated-object-detection-1
The KFIoU Loss for Rotated Object Detection
2201.12558
https://arxiv.org/abs/2201.12558v6
https://arxiv.org/pdf/2201.12558v6.pdf
https://github.com/Jittor/JDet
true
true
true
none
https://paperswithcode.com/paper/h-vmunet-high-order-vision-mamba-unet-for
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation
2403.13642
https://arxiv.org/abs/2403.13642v1
https://arxiv.org/pdf/2403.13642v1.pdf
https://github.com/wurenkai/h-vmunet
true
true
true
pytorch
https://paperswithcode.com/paper/leveraging-out-of-domain-data-for-domain
Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?
2311.16496
https://arxiv.org/abs/2311.16496v4
https://arxiv.org/pdf/2311.16496v4.pdf
https://github.com/scviab/dpod
true
true
true
pytorch
https://paperswithcode.com/paper/towards-more-trustworthy-deep-code-models-by
Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection
2502.18883
https://arxiv.org/abs/2502.18883v1
https://arxiv.org/pdf/2502.18883v1.pdf
https://github.com/yanyanfu/cood
true
true
false
pytorch
https://paperswithcode.com/paper/wakemint-detecting-sleepminting
WakeMint: Detecting Sleepminting Vulnerabilities in NFT Smart Contracts
2502.19032
https://arxiv.org/abs/2502.19032v1
https://arxiv.org/pdf/2502.19032v1.pdf
https://github.com/lei-xiao2/wakemint2
true
true
false
none
https://paperswithcode.com/paper/icm-assistant-instruction-tuning-multimodal
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
2412.18216
https://arxiv.org/abs/2412.18216v2
https://arxiv.org/pdf/2412.18216v2.pdf
https://github.com/zhaoyuzhi/icm-assistant
true
true
true
pytorch
https://paperswithcode.com/paper/structvizor-interactive-profiling-of-semi
StructVizor: Interactive Profiling of Semi-Structured Textual Data
2503.06500
https://arxiv.org/abs/2503.06500v1
https://arxiv.org/pdf/2503.06500v1.pdf
https://github.com/Amur-N/Semi-structured-Dataset-Collection
true
false
false
none
https://paperswithcode.com/paper/upc-sentinel-an-accurate-approach-for
UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum
2501.00674
https://arxiv.org/abs/2501.00674v1
https://arxiv.org/pdf/2501.00674v1.pdf
https://github.com/SAILResearch/replication-24-amir-upc_sentinel
true
false
true
none
https://paperswithcode.com/paper/mcbench-a-benchmark-suite-for-monte-carlo
MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms
2501.03138
https://arxiv.org/abs/2501.03138v1
https://arxiv.org/pdf/2501.03138v1.pdf
https://github.com/tudo-physik-e4/mcbench
true
true
true
none
https://paperswithcode.com/paper/stability-of-data-dependent-ridge
Stability of Data-Dependent Ridge-Regularization for Inverse Problems
2406.12289
https://arxiv.org/abs/2406.12289v2
https://arxiv.org/pdf/2406.12289v2.pdf
https://github.com/fabianaltekrueger/dataadaptiverr
true
true
true
pytorch
https://paperswithcode.com/paper/2408-00109
Back to the Continuous Attractor
2408.00109
https://arxiv.org/abs/2408.00109v3
https://arxiv.org/pdf/2408.00109v3.pdf
https://github.com/catniplab/back_to_the_continuous_attractor
true
true
false
pytorch
https://paperswithcode.com/paper/normalizing-batch-normalization-for-long
Normalizing Batch Normalization for Long-Tailed Recognition
2501.03122
https://arxiv.org/abs/2501.03122v1
https://arxiv.org/pdf/2501.03122v1.pdf
https://github.com/yuxiangbao/nbn
true
true
true
pytorch
https://paperswithcode.com/paper/generalizable-lightweight-proxy-for-robust-1
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
2306.05031
https://arxiv.org/abs/2306.05031v2
https://arxiv.org/pdf/2306.05031v2.pdf
https://github.com/hyeonjeongha/mm-poisonrag
false
false
true
pytorch
https://paperswithcode.com/paper/urinary-tract-infection-detection-in-digital
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity
2502.17484
https://arxiv.org/abs/2502.17484v1
https://arxiv.org/pdf/2502.17484v1.pdf
https://github.com/Kexin-Fan/Multi-Source-Analysing
true
false
false
none
https://paperswithcode.com/paper/seconnds-secure-outsourced-neural-network
SecONNds: Secure Outsourced Neural Network Inference on ImageNet
2506.11586
https://arxiv.org/abs/2506.11586v1
https://arxiv.org/pdf/2506.11586v1.pdf
https://github.com/seconnds/seconnds_1_25
true
true
false
none
https://paperswithcode.com/paper/slowcal-sgd-slow-query-points-improve-local
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
2304.04169
https://arxiv.org/abs/2304.04169v2
https://arxiv.org/pdf/2304.04169v2.pdf
https://github.com/dahan198/slowcal-sgd
true
true
true
pytorch
https://paperswithcode.com/paper/figstep-jailbreaking-large-vision-language
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
2311.05608
https://arxiv.org/abs/2311.05608v3
https://arxiv.org/pdf/2311.05608v3.pdf
https://github.com/thuccslab/figstep
true
true
true
none
https://paperswithcode.com/paper/generating-structured-outputs-from-language
Generating Structured Outputs from Language Models: Benchmark and Studies
2501.10868
https://arxiv.org/abs/2501.10868v1
https://arxiv.org/pdf/2501.10868v1.pdf
https://github.com/guidance-ai/llguidance
true
true
true
none
https://paperswithcode.com/paper/synthetic-data-augmentation-for-enhancing
Synthetic Data Augmentation for Enhancing Harmful Algal Bloom Detection with Machine Learning
2503.03794
https://arxiv.org/abs/2503.03794v1
https://arxiv.org/pdf/2503.03794v1.pdf
https://github.com/Tonyhrule/Synthetic-HAB-ML-Augmentation
true
false
false
none
https://paperswithcode.com/paper/evaluating-knowledge-generation-and-self
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type Annotation
2503.02718
https://arxiv.org/abs/2503.02718v1
https://arxiv.org/pdf/2503.02718v1.pdf
https://github.com/wbsg-uni-mannheim/tabanngpt
true
true
true
pytorch
https://paperswithcode.com/paper/muble-mujoco-and-blender-simulation
MuBlE: MuJoCo and Blender simulation Environment and Benchmark for Task Planning in Robot Manipulation
2503.02834
https://arxiv.org/abs/2503.02834v1
https://arxiv.org/pdf/2503.02834v1.pdf
https://github.com/michaal94/muble
true
true
false
none
https://paperswithcode.com/paper/r2-t2-re-routing-in-test-time-for-multimodal
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts
2502.20395
https://arxiv.org/abs/2502.20395v1
https://arxiv.org/pdf/2502.20395v1.pdf
https://github.com/tianyi-lab/R2-T2
true
false
true
pytorch
https://paperswithcode.com/paper/reasoning-language-models-a-blueprint
Reasoning Language Models: A Blueprint
2501.11223
https://arxiv.org/abs/2501.11223v3
https://arxiv.org/pdf/2501.11223v3.pdf
https://github.com/spcl/x1
true
true
true
pytorch
https://paperswithcode.com/paper/efficient-training-of-large-vision-models-via
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning
2410.00350
https://arxiv.org/abs/2410.00350v1
https://arxiv.org/pdf/2410.00350v1.pdf
https://github.com/changlin31/autoprog-zero
true
true
true
pytorch
https://paperswithcode.com/paper/hdee-heterogeneous-domain-expert-ensemble
HDEE: Heterogeneous Domain Expert Ensemble
2502.19385
https://arxiv.org/abs/2502.19385v1
https://arxiv.org/pdf/2502.19385v1.pdf
https://github.com/gensyn-ai/hdee
true
true
true
pytorch
https://paperswithcode.com/paper/fintsb-a-comprehensive-and-practical
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
2502.18834
https://arxiv.org/abs/2502.18834v1
https://arxiv.org/pdf/2502.18834v1.pdf
https://github.com/tongjifinlab/fintsbenchmark
true
true
true
pytorch
https://paperswithcode.com/paper/sharingan-a-transformer-architecture-for
Sharingan: A Transformer Architecture for Multi-Person Gaze Following
null
http://openaccess.thecvf.com//content/CVPR2024/html/Tafasca_Sharingan_A_Transformer_Architecture_for_Multi-Person_Gaze_Following_CVPR_2024_paper.html
http://openaccess.thecvf.com//content/CVPR2024/papers/Tafasca_Sharingan_A_Transformer_Architecture_for_Multi-Person_Gaze_Following_CVPR_2024_paper.pdf
https://github.com/idiap/sharingan
false
false
false
pytorch
https://paperswithcode.com/paper/realtabformer-generating-realistic-relational
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers
2302.02041
https://arxiv.org/abs/2302.02041v1
https://arxiv.org/pdf/2302.02041v1.pdf
https://github.com/worldbank/realtabformer
false
false
true
pytorch
https://paperswithcode.com/paper/deep-common-feature-mining-for-efficient
Deep Common Feature Mining for Efficient Video Semantic Segmentation
2403.02689
https://arxiv.org/abs/2403.02689v2
https://arxiv.org/pdf/2403.02689v2.pdf
https://github.com/buaahugegun/dcfm
true
true
false
pytorch
https://paperswithcode.com/paper/tpch-tensor-interacted-projection-and
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
2412.18847
https://arxiv.org/abs/2412.18847v1
https://arxiv.org/pdf/2412.18847v1.pdf
https://github.com/jankin-wang/tpch
true
true
false
none
https://paperswithcode.com/paper/semi-truths-a-large-scale-dataset-of-ai
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
2411.07472
https://arxiv.org/abs/2411.07472v1
https://arxiv.org/pdf/2411.07472v1.pdf
https://github.com/j-kruk/semitruths
true
true
true
pytorch
https://paperswithcode.com/paper/invariant-derivations-and-trace-bounds
Invariant derivations and trace bounds
2312.03101
https://arxiv.org/abs/2312.03101v4
https://arxiv.org/pdf/2312.03101v4.pdf
https://github.com/skipgaribaldi/invariant-derivations
true
true
true
none
https://paperswithcode.com/paper/sampling-is-all-you-need-on-modeling-long
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
2205.10249
https://arxiv.org/abs/2205.10249v2
https://arxiv.org/pdf/2205.10249v2.pdf
https://github.com/reczoo/FuxiCTR
false
false
true
pytorch
https://paperswithcode.com/paper/edicho-consistent-image-editing-in-the-wild
Edicho: Consistent Image Editing in the Wild
2412.21079
https://arxiv.org/abs/2412.21079v3
https://arxiv.org/pdf/2412.21079v3.pdf
https://github.com/ezioby/edicho
true
true
true
none
https://paperswithcode.com/paper/exploiting-music-source-separation-for
Exploiting Music Source Separation for Automatic Lyrics Transcription with Whisper
2506.15514
https://arxiv.org/abs/2506.15514v1
https://arxiv.org/pdf/2506.15514v1.pdf
https://github.com/jaza-syed/mss-alt
true
true
true
pytorch
https://paperswithcode.com/paper/adversarial-attacks-on-robotic-vision
Adversarial Attacks on Robotic Vision Language Action Models
2506.03350
https://arxiv.org/abs/2506.03350v1
https://arxiv.org/pdf/2506.03350v1.pdf
https://github.com/eliotjones1/robogcg
true
true
false
pytorch
https://paperswithcode.com/paper/navigating-image-restoration-with-var-s
Navigating Image Restoration with VAR's Distribution Alignment Prior
null
http://openaccess.thecvf.com//content/CVPR2025/html/Wang_Navigating_Image_Restoration_with_VARs_Distribution_Alignment_Prior_CVPR_2025_paper.html
http://openaccess.thecvf.com//content/CVPR2025/papers/Wang_Navigating_Image_Restoration_with_VARs_Distribution_Alignment_Prior_CVPR_2025_paper.pdf
https://github.com/siywang541/Varformer
true
true
false
pytorch
https://paperswithcode.com/paper/causal-aware-large-language-models-enhancing
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
2505.24710
https://arxiv.org/abs/2505.24710v1
https://arxiv.org/pdf/2505.24710v1.pdf
https://github.com/dmirlab-group/causal-aware_llms
true
true
false
pytorch
https://paperswithcode.com/paper/nfisis-new-perspectives-on-fuzzy-inference
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting
2506.06285
https://arxiv.org/abs/2506.06285v1
https://arxiv.org/pdf/2506.06285v1.pdf
https://github.com/kaikerochaalves/NFISiS_PyPi
true
false
false
none
https://paperswithcode.com/paper/identifying-spurious-correlations-using
Identifying Spurious Correlations using Counterfactual Alignment
2312.02186
https://arxiv.org/abs/2312.02186v3
https://arxiv.org/pdf/2312.02186v3.pdf
https://github.com/ieee8023/latentshift
true
true
true
pytorch
https://paperswithcode.com/paper/cooperative-open-ended-learning-framework-for
Cooperative Open-ended Learning Framework for Zero-shot Coordination
2302.04831
https://arxiv.org/abs/2302.04831v4
https://arxiv.org/pdf/2302.04831v4.pdf
https://github.com/PKU-Alignment/ProAgent
false
false
true
pytorch
https://paperswithcode.com/paper/optimal-group-fair-classifiers-from-linear
A Unified Post-Processing Framework for Group Fairness in Classification
2405.04025
https://arxiv.org/abs/2405.04025v2
https://arxiv.org/pdf/2405.04025v2.pdf
https://github.com/rxian/fair-classification
true
true
true
none
https://paperswithcode.com/paper/teaching-lmms-for-image-quality-scoring-and
Teaching LMMs for Image Quality Scoring and Interpreting
2503.09197
https://arxiv.org/abs/2503.09197v1
https://arxiv.org/pdf/2503.09197v1.pdf
https://github.com/q-future/q-sit
true
true
true
pytorch
https://paperswithcode.com/paper/pretraining-language-models-to-ponder-in
Pretraining Language Models to Ponder in Continuous Space
2505.20674
https://arxiv.org/abs/2505.20674v1
https://arxiv.org/pdf/2505.20674v1.pdf
https://github.com/lumia-group/ponderinglm
true
true
true
pytorch
https://paperswithcode.com/paper/fading-in-the-flow-suppression-of-cold-gas
Fading in the Flow: Suppression of cold gas growth in expanding galactic outflows
2506.08545
https://arxiv.org/abs/2506.08545v2
https://arxiv.org/pdf/2506.08545v2.pdf
https://github.com/dutta-alankar/cloud-crushing_PLUTO
true
true
false
none
https://paperswithcode.com/paper/group-robust-sample-reweighting-for
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
2503.07315
https://arxiv.org/abs/2503.07315v1
https://arxiv.org/pdf/2503.07315v1.pdf
https://github.com/qiaoruiyt/gsr
true
true
false
pytorch
https://paperswithcode.com/paper/planetesimal-impact-vapor-plumes-and-nebular
Planetesimal Impact Vapor Plumes and Nebular Shocks form Chondritic Mixtures
2503.05636
https://arxiv.org/abs/2503.05636v1
https://arxiv.org/pdf/2503.05636v1.pdf
https://github.com/ststewart/ivans
true
true
false
none
https://paperswithcode.com/paper/chatbench-from-static-benchmarks-to-human-ai
ChatBench: From Static Benchmarks to Human-AI Evaluation
2504.07114
https://arxiv.org/abs/2504.07114v1
https://arxiv.org/pdf/2504.07114v1.pdf
https://github.com/serinachang5/interactive-eval
true
true
true
none
https://paperswithcode.com/paper/infofusion-controller-informed-trrt-star-with
InfoFusion Controller: Informed TRRT Star with Mutual Information based on Fusion of Pure Pursuit and MPC for Enhanced Path Planning
2503.06010
https://arxiv.org/abs/2503.06010v1
https://arxiv.org/pdf/2503.06010v1.pdf
https://github.com/drawingprocess/infofusioncontroller
true
true
false
none
https://paperswithcode.com/paper/generator-a-long-context-generative-genomic
GENERator: A Long-Context Generative Genomic Foundation Model
2502.07272
https://arxiv.org/abs/2502.07272v3
https://arxiv.org/pdf/2502.07272v3.pdf
https://github.com/generteam/generator
true
true
true
pytorch
https://paperswithcode.com/paper/controller-distillation-reduces-fragile-brain
Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites
2504.06523
https://arxiv.org/abs/2504.06523v1
https://arxiv.org/pdf/2504.06523v1.pdf
https://github.com/mertan-a/pollination
true
false
false
pytorch
https://paperswithcode.com/paper/holistic-fusion-task-and-setup-agnostic-robot
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs
2504.06479
https://arxiv.org/abs/2504.06479v1
https://arxiv.org/pdf/2504.06479v1.pdf
https://github.com/leggedrobotics/holistic_fusion
true
false
true
none
https://paperswithcode.com/paper/enforcement-agents-enhancing-accountability
Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks
2504.04070
https://arxiv.org/abs/2504.04070v1
https://arxiv.org/pdf/2504.04070v1.pdf
https://github.com/SAGAR-TAMANG/Enforcement-Agents
true
false
true
none
https://paperswithcode.com/paper/frnet-frustum-range-networks-for-scalable
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
2312.04484
https://arxiv.org/abs/2312.04484v3
https://arxiv.org/pdf/2312.04484v3.pdf
https://github.com/Xiangxu-0103/FRNet
true
true
true
pytorch
https://paperswithcode.com/paper/boosting-relational-deep-learning-with
Boosting Relational Deep Learning with Pretrained Tabular Models
2504.04934
https://arxiv.org/abs/2504.04934v1
https://arxiv.org/pdf/2504.04934v1.pdf
https://github.com/AntonioLonga/LightRDL
true
true
false
pytorch
https://paperswithcode.com/paper/continual-deep-reinforcement-learning-with
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation
2411.16532
https://arxiv.org/abs/2411.16532v1
https://arxiv.org/pdf/2411.16532v1.pdf
https://github.com/wabbajack1/tapd
true
true
true
pytorch
https://paperswithcode.com/paper/darkelf-a-python-package-for-dark-matter
DarkELF: A python package for dark matter scattering in dielectric targets
2104.12786
https://arxiv.org/abs/2104.12786v1
https://arxiv.org/pdf/2104.12786v1.pdf
https://github.com/tongylin/DarkELF
true
true
true
none
https://paperswithcode.com/paper/dark-matter-direct-detection-from-the-single
Dark matter direct detection from the single phonon to the nuclear recoil regime
2205.02250
https://arxiv.org/abs/2205.02250v2
https://arxiv.org/pdf/2205.02250v2.pdf
https://github.com/tongylin/DarkELF
true
true
true
none
https://paperswithcode.com/paper/segagent-exploring-pixel-understanding-1
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
2503.08625
https://arxiv.org/abs/2503.08625v1
https://arxiv.org/pdf/2503.08625v1.pdf
https://github.com/aim-uofa/SegAgent
true
true
true
none
https://paperswithcode.com/paper/rsar-restricted-state-angle-resolver-and
RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark
2501.04440
https://arxiv.org/abs/2501.04440v1
https://arxiv.org/pdf/2501.04440v1.pdf
https://github.com/visionxlab/earth-adapter
false
false
true
pytorch
https://paperswithcode.com/paper/earth-adapter-bridge-the-geospatial-domain
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency Adaptation
2504.06220
https://arxiv.org/abs/2504.06220v3
https://arxiv.org/pdf/2504.06220v3.pdf
https://github.com/visionxlab/earth-adapter
true
true
true
pytorch
https://paperswithcode.com/paper/cyberllminstruct-a-new-dataset-for-analysing
CyberLLMInstruct: A New Dataset for Analysing Safety of Fine-Tuned LLMs Using Cyber Security Data
2503.09334
https://arxiv.org/abs/2503.09334v2
https://arxiv.org/pdf/2503.09334v2.pdf
https://github.com/adelsamir01/cyberllminstruct
true
true
true
pytorch
https://paperswithcode.com/paper/growing-black-hole-hair-in-nonminimally
Growing black-hole hair in nonminimally coupled biscalar gravity
2501.14034
https://arxiv.org/abs/2501.14034v1
https://arxiv.org/pdf/2501.14034v1.pdf
https://bitbucket.org/canuda/canuda_axidilaton
true
true
false
none
https://paperswithcode.com/paper/the-kodaira-dimension-of-hilbert-modular
The Kodaira dimension of Hilbert modular threefolds
2501.15719
https://arxiv.org/abs/2501.15719v1
https://arxiv.org/pdf/2501.15719v1.pdf
https://github.com/adammlogan/hilbert-modular-threefolds
true
true
false
none