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

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/knowledge-guided-prompt-learning-for-request
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
2410.21673
https://arxiv.org/abs/2410.21673v2
https://arxiv.org/pdf/2410.21673v2.pdf
https://github.com/wut-idea/kp-pcr
true
true
false
pytorch
https://paperswithcode.com/paper/knowledge-fusion-of-large-language-models
Knowledge Fusion of Large Language Models
2401.10491
https://arxiv.org/abs/2401.10491v2
https://arxiv.org/pdf/2401.10491v2.pdf
https://github.com/fanqiwan/fusellm
true
true
true
pytorch
https://paperswithcode.com/paper/weighted-reward-preference-optimization-for
Weighted-Reward Preference Optimization for Implicit Model Fusion
2412.03187
https://arxiv.org/abs/2412.03187v1
https://arxiv.org/pdf/2412.03187v1.pdf
https://github.com/fanqiwan/fusellm
false
false
true
pytorch
https://paperswithcode.com/paper/advancing-learnable-multi-agent-pathfinding
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
2506.23793
https://arxiv.org/abs/2506.23793v1
https://arxiv.org/pdf/2506.23793v1.pdf
https://github.com/Cognitive-AI-Systems/MAPF-GPT
false
false
true
pytorch
https://paperswithcode.com/paper/a-little-less-conversation-a-little-more
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment
2410.23242
https://arxiv.org/abs/2410.23242v2
https://arxiv.org/pdf/2410.23242v2.pdf
https://github.com/kinds-of-intelligence-cfi/llm-aai
true
true
true
none
https://paperswithcode.com/paper/v2x-assisted-distributed-computing-and
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
2410.22987
https://arxiv.org/abs/2410.22987v1
https://arxiv.org/pdf/2410.22987v1.pdf
https://github.com/qiongwu86/v2x-assisted-distributed-computing-and-control-framework-for-connected-and-automated-vehicles
true
true
false
none
https://paperswithcode.com/paper/100k-or-100-days-trade-offs-when-pre-training
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
2410.23261
https://arxiv.org/abs/2410.23261v1
https://arxiv.org/pdf/2410.23261v1.pdf
https://github.com/apoorvkh/academic-pretraining
true
true
true
pytorch
https://paperswithcode.com/paper/misspecification-uncertainties-in-near
Parameter uncertainties for imperfect surrogate models in the low-noise regime
2402.01810
https://arxiv.org/abs/2402.01810v5
https://arxiv.org/pdf/2402.01810v5.pdf
https://github.com/tomswinburne/POPS-Regression
true
true
true
none
https://paperswithcode.com/paper/latent-diffusion-implicit-amplification
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
2410.22830
https://arxiv.org/abs/2410.22830v1
https://arxiv.org/pdf/2410.22830v1.pdf
https://github.com/hanlinwu/E2DiffSR
true
false
false
none
https://paperswithcode.com/paper/exactly-minimax-optimal-locally
Exactly Minimax-Optimal Locally Differentially Private Sampling
2410.22699
https://arxiv.org/abs/2410.22699v1
https://arxiv.org/pdf/2410.22699v1.pdf
https://github.com/phy811/Optimal-LDP-Sampling
true
false
false
pytorch
https://paperswithcode.com/paper/statistical-quantification-of-confounding
Statistical quantification of confounding bias in predictive modelling
2111.00814
https://arxiv.org/abs/2111.00814v1
https://arxiv.org/pdf/2111.00814v1.pdf
https://github.com/spisakt/mlconfound_manuscript
true
true
true
none
https://paperswithcode.com/paper/general-identifiability-and-achievability-for
General Identifiability and Achievability for Causal Representation Learning
2310.15450
https://arxiv.org/abs/2310.15450v2
https://arxiv.org/pdf/2310.15450v2.pdf
https://github.com/bvarici/score-general-id-crl
true
true
true
pytorch
https://paperswithcode.com/paper/mle-dojo-interactive-environments-for
MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
2505.07782
https://arxiv.org/abs/2505.07782v1
https://arxiv.org/pdf/2505.07782v1.pdf
https://github.com/MLE-Dojo/MLE-Dojo
true
false
true
none
https://paperswithcode.com/paper/neural-brain-a-neuroscience-inspired
Neural Brain: A Neuroscience-inspired Framework for Embodied Agents
2505.07634
https://arxiv.org/abs/2505.07634v2
https://arxiv.org/pdf/2505.07634v2.pdf
https://github.com/CNJianLiu/Neural-Brain-for-Embodied-Agents
true
false
true
tf
https://paperswithcode.com/paper/refact-updating-text-to-image-models-by
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
2306.00738
https://arxiv.org/abs/2306.00738v2
https://arxiv.org/pdf/2306.00738v2.pdf
https://github.com/technion-cs-nlp/refact
true
true
true
pytorch
https://paperswithcode.com/paper/can-llms-learn-by-teaching-a-preliminary
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
2406.14629
https://arxiv.org/abs/2406.14629v3
https://arxiv.org/pdf/2406.14629v3.pdf
https://github.com/imagination-research/lbt
true
true
true
none
https://paperswithcode.com/paper/reflexion-language-agents-with-verbal
Reflexion: Language Agents with Verbal Reinforcement Learning
2303.11366
https://arxiv.org/abs/2303.11366v4
https://arxiv.org/pdf/2303.11366v4.pdf
https://github.com/imagination-research/lbt
false
false
true
none
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/imagination-research/lbt
false
false
true
none
https://paperswithcode.com/paper/cv-cities-advancing-cross-view-geo
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
2411.12431
https://arxiv.org/abs/2411.12431v1
https://arxiv.org/pdf/2411.12431v1.pdf
https://github.com/gaoshuang98/cvcities
true
true
true
pytorch
https://paperswithcode.com/paper/the-isomorphism-problem-for-ideal-class
The isomorphism problem for ideal class monoids of numerical semigroups
2311.15265
https://arxiv.org/abs/2311.15265v2
https://arxiv.org/pdf/2311.15265v2.pdf
https://github.com/numerical-semigroups/ideal-class-monoid
true
true
true
none
https://paperswithcode.com/paper/tensor-based-synchronization-and-the-low
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor
2409.09313
https://arxiv.org/abs/2409.09313v2
https://arxiv.org/pdf/2409.09313v2.pdf
https://github.com/dmiao153/trifocalsync
true
true
false
none
https://paperswithcode.com/paper/sugarcrepe-fixing-hackable-benchmarks-for-1
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
2306.14610
https://arxiv.org/abs/2306.14610v1
https://arxiv.org/pdf/2306.14610v1.pdf
https://github.com/borisdayma/clip-jax
false
false
true
jax
https://paperswithcode.com/paper/learning-to-edit-visual-programs-with-self
Learning to Edit Visual Programs with Self-Supervision
2406.02383
https://arxiv.org/abs/2406.02383v2
https://arxiv.org/pdf/2406.02383v2.pdf
https://github.com/rkjones4/vpi-edit
true
true
false
pytorch
https://paperswithcode.com/paper/adaptive-length-image-tokenization-via
Adaptive Length Image Tokenization via Recurrent Allocation
2411.02393
https://arxiv.org/abs/2411.02393v1
https://arxiv.org/pdf/2411.02393v1.pdf
https://github.com/shivamduggal4/adaptive-length-tokenizer
true
true
true
pytorch
https://paperswithcode.com/paper/mamt-4-multi-view-attention-networks-for
MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification
2411.01669
https://arxiv.org/abs/2411.01669v1
https://arxiv.org/pdf/2411.01669v1.pdf
https://github.com/ispras/mammo_crop
true
true
false
none
https://paperswithcode.com/paper/unified-speech-recognition-a-single-model-for
Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs
2411.02256
https://arxiv.org/abs/2411.02256v1
https://arxiv.org/pdf/2411.02256v1.pdf
https://github.com/ahaliassos/usr
true
true
false
pytorch
https://paperswithcode.com/paper/finding-influential-cores-via-normalized
Finding Influential Cores via Normalized Ricci Flows in Directed and Undirected Hypergraphs with Applications
2502.16382
https://arxiv.org/abs/2502.16382v1
https://arxiv.org/pdf/2502.16382v1.pdf
https://github.com/iamprith/Ricci-Flow-on-Hypergraphs
true
false
false
none
https://paperswithcode.com/paper/hamiltonian-simulation-based-quantum-selected
Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer
2412.07218
https://arxiv.org/abs/2412.07218v2
https://arxiv.org/pdf/2412.07218v2.pdf
https://github.com/qiskit/qiskit-addon-sqd
true
true
true
jax
https://paperswithcode.com/paper/crepe-open-domain-question-answering-with
CREPE: Open-Domain Question Answering with False Presuppositions
2211.17257
https://arxiv.org/abs/2211.17257v1
https://arxiv.org/pdf/2211.17257v1.pdf
https://github.com/velocitycavalry/crepe
true
true
true
none
https://paperswithcode.com/paper/ev-3dod-pushing-the-temporal-boundaries-of-3d
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras
2502.19630
https://arxiv.org/abs/2502.19630v1
https://arxiv.org/pdf/2502.19630v1.pdf
https://github.com/mickeykang16/ev3dod
true
true
false
jax
https://paperswithcode.com/paper/critic-guided-decision-transformer-for
Critic-Guided Decision Transformer for Offline Reinforcement Learning
2312.13716
https://arxiv.org/abs/2312.13716v1
https://arxiv.org/pdf/2312.13716v1.pdf
https://github.com/sharkwyf/cgdt
true
false
true
pytorch
https://paperswithcode.com/paper/newton-puiseux-analysis-for-interpretability
Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural Networks
2504.19176
https://arxiv.org/abs/2504.19176v1
https://arxiv.org/pdf/2504.19176v1.pdf
https://github.com/piotrmgs/puiseux-cvnn
true
true
true
pytorch
https://paperswithcode.com/paper/mdpe-a-multimodal-deception-dataset-with
MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics
2407.12274
https://arxiv.org/abs/2407.12274v1
https://arxiv.org/pdf/2407.12274v1.pdf
https://github.com/cai-cong/MER25_personality
false
false
true
pytorch
https://paperswithcode.com/paper/learning-interaction-aware-3d-gaussian
Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars
2410.08840
https://arxiv.org/abs/2410.08840v1
https://arxiv.org/pdf/2410.08840v1.pdf
https://github.com/xuanhuang0/guassianhand
true
true
true
jax
https://paperswithcode.com/paper/breast-tumor-classification-using
Breast Tumor Classification Using EfficientNet Deep Learning Model
2411.17870
https://arxiv.org/abs/2411.17870v1
https://arxiv.org/pdf/2411.17870v1.pdf
https://github.com/majid9418/Breast-Tumor-Classification-Histopathological
true
false
false
none
https://paperswithcode.com/paper/exo-2-growing-a-scheduling-language
Exo 2: Growing a Scheduling Language
2411.07211
https://arxiv.org/abs/2411.07211v4
https://arxiv.org/pdf/2411.07211v4.pdf
https://github.com/exo-lang/exoblas
true
true
true
none
https://paperswithcode.com/paper/optimal-reactive-operation-of-general
Optimal Reactive Operation of General Topology Supply Chain and Manufacturing Networks under Disruptions
2412.08046
https://arxiv.org/abs/2412.08046v1
https://arxiv.org/pdf/2412.08046v1.pdf
https://github.com/dovallev/supply_chain_disruptions
true
false
false
none
https://paperswithcode.com/paper/revisiting-neural-retrieval-on-accelerators
Revisiting Neural Retrieval on Accelerators
2306.04039
https://arxiv.org/abs/2306.04039v1
https://arxiv.org/pdf/2306.04039v1.pdf
https://github.com/facebookresearch/generative-recommenders
false
false
true
pytorch
https://paperswithcode.com/paper/turning-dross-into-gold-loss-is-bert4rec
Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?
2309.07602
https://arxiv.org/abs/2309.07602v1
https://arxiv.org/pdf/2309.07602v1.pdf
https://github.com/facebookresearch/generative-recommenders
false
false
true
pytorch
https://paperswithcode.com/paper/actions-speak-louder-than-words-trillion
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
2402.17152
https://arxiv.org/abs/2402.17152v3
https://arxiv.org/pdf/2402.17152v3.pdf
https://github.com/facebookresearch/generative-recommenders
true
true
true
pytorch
https://paperswithcode.com/paper/review-of-deep-learning-models-for-crypto
Review of deep learning models for crypto price prediction: implementation and evaluation
2405.11431
https://arxiv.org/abs/2405.11431v2
https://arxiv.org/pdf/2405.11431v2.pdf
https://github.com/sydney-machine-learning/quantiledeeplearning
false
false
true
none
https://paperswithcode.com/paper/response-estimation-and-system-identification
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks
2410.01340
https://arxiv.org/abs/2410.01340v2
https://arxiv.org/pdf/2410.01340v2.pdf
https://github.com/marcusha94/structural-dynamics-pinns
true
true
true
pytorch
https://paperswithcode.com/paper/curvature-constrained-vector-field-for-motion
Curvature-Constrained Vector Field for Motion Planning of Nonholonomic Robots
2504.02852
https://arxiv.org/abs/2504.02852v1
https://arxiv.org/pdf/2504.02852v1.pdf
https://github.com/y1kee/cvf-for-nonholonomic-motion-planning
true
true
false
none
https://paperswithcode.com/paper/meshmask-physics-based-simulations-with
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
2501.08738
https://arxiv.org/abs/2501.08738v3
https://arxiv.org/pdf/2501.08738v3.pdf
https://github.com/DonsetPG/graph-physics
true
false
true
jax
https://paperswithcode.com/paper/bot-sort-robust-associations-multi-pedestrian
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
2206.14651
https://arxiv.org/abs/2206.14651v2
https://arxiv.org/pdf/2206.14651v2.pdf
https://github.com/airotau/pointpillarshailoinnoviz
false
false
true
pytorch
https://paperswithcode.com/paper/a-spectral-approach-for-quasinormal
A Spectral Approach for Quasinormal Frequencies of Noncommutative Geometry-inspired Wormholes
2504.02370
https://arxiv.org/abs/2504.02370v1
https://arxiv.org/pdf/2504.02370v1.pdf
https://github.com/dutykh/ncwh
true
true
false
none
https://paperswithcode.com/paper/towards-all-in-one-medical-image-re
Towards All-in-One Medical Image Re-Identification
2503.08173
https://arxiv.org/abs/2503.08173v1
https://arxiv.org/pdf/2503.08173v1.pdf
https://github.com/tianyuan168326/all-in-one-medreid-pytorch
true
true
false
pytorch
https://paperswithcode.com/paper/spargeattn-accurate-sparse-attention
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
2502.18137
https://arxiv.org/abs/2502.18137v5
https://arxiv.org/pdf/2502.18137v5.pdf
https://github.com/thu-ml/spargeattn
true
true
true
pytorch
https://paperswithcode.com/paper/multi-grid-graph-neural-networks-with-self
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
2409.11899
https://arxiv.org/abs/2409.11899v1
https://arxiv.org/pdf/2409.11899v1.pdf
https://github.com/DonsetPG/graph-physics
true
false
true
jax
https://paperswithcode.com/paper/learning-mesh-based-simulation-with-graph-1
Learning Mesh-Based Simulation with Graph Networks
2010.03409
https://arxiv.org/abs/2010.03409v4
https://arxiv.org/pdf/2010.03409v4.pdf
https://github.com/DonsetPG/graph-physics
false
false
true
jax
https://paperswithcode.com/paper/discrete-neural-nets-and-polymorphic-learning
Discrete neural nets and polymorphic learning
2308.00677
https://arxiv.org/abs/2308.00677v2
https://arxiv.org/pdf/2308.00677v2.pdf
https://github.com/caten2/tripods2021ua
true
true
true
none
https://paperswithcode.com/paper/subjective-visual-quality-assessment-for-high
Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression
2504.06301
https://arxiv.org/abs/2504.06301v2
https://arxiv.org/pdf/2504.06301v2.pdf
https://github.com/jpeg-aic/dataset-jpeg-ai-sdr25
true
true
false
none
https://paperswithcode.com/paper/pomato-marrying-pointmap-matching-with
POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction
2504.05692
https://arxiv.org/abs/2504.05692v1
https://arxiv.org/pdf/2504.05692v1.pdf
https://github.com/wyddmw/pomato
true
true
true
none
https://paperswithcode.com/paper/correlation-of-frechet-audio-distance-with
Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant
2403.17508
https://arxiv.org/abs/2403.17508v1
https://arxiv.org/pdf/2403.17508v1.pdf
https://github.com/YoonjinXD/kadtk
false
false
true
pytorch
https://paperswithcode.com/paper/adapting-frechet-audio-distance-for
Adapting Frechet Audio Distance for Generative Music Evaluation
2311.01616
https://arxiv.org/abs/2311.01616v2
https://arxiv.org/pdf/2311.01616v2.pdf
https://github.com/YoonjinXD/kadtk
false
false
true
pytorch
https://paperswithcode.com/paper/detox-toxic-subspace-projection-for-model
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
2405.13967
https://arxiv.org/abs/2405.13967v4
https://arxiv.org/pdf/2405.13967v4.pdf
https://github.com/uppaal/detox-edit
true
true
true
pytorch
https://paperswithcode.com/paper/self-detoxifying-language-models-via
Self-Detoxifying Language Models via Toxification Reversal
2310.09573
https://arxiv.org/abs/2310.09573v1
https://arxiv.org/pdf/2310.09573v1.pdf
https://github.com/uppaal/detox-edit
false
false
true
pytorch
https://paperswithcode.com/paper/the-gender-gap-pipeline-a-gender-aware
The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages
2308.16871
https://arxiv.org/abs/2308.16871v1
https://arxiv.org/pdf/2308.16871v1.pdf
https://github.com/facebookresearch/responsiblenlp
true
true
true
none
https://paperswithcode.com/paper/i-m-sorry-to-hear-that-finding-bias-in
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
2205.09209
https://arxiv.org/abs/2205.09209v2
https://arxiv.org/pdf/2205.09209v2.pdf
https://github.com/facebookresearch/responsiblenlp
true
true
true
none
https://paperswithcode.com/paper/improving-model-evaluation-using-smart
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
2410.20245
https://arxiv.org/abs/2410.20245v1
https://arxiv.org/pdf/2410.20245v1.pdf
https://github.com/facebookresearch/responsiblenlp
false
false
true
none
https://paperswithcode.com/paper/sparkle-a-statistical-learning-toolkit-for
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
2502.18979
https://arxiv.org/abs/2502.18979v2
https://arxiv.org/pdf/2502.18979v2.pdf
https://github.com/romain-e-lacoste/sparklen
true
true
true
none
https://paperswithcode.com/paper/a-weak-supervision-learning-approach-towards
A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation
2505.04229
https://arxiv.org/abs/2505.04229v2
https://arxiv.org/pdf/2505.04229v2.pdf
https://github.com/societal-computing/equitable_mobility_estimation
true
true
false
pytorch
https://paperswithcode.com/paper/mechanically-programming-the-cross-sectional
Mechanically Programming the Cross-Sectional Shape of Soft Growing Robotic Structures for Patient Transfer
2505.11593
https://arxiv.org/abs/2505.11593v2
https://arxiv.org/pdf/2505.11593v2.pdf
https://github.com/kentaro-barhydt/softGrowingRobotCrossSectionProgramming
true
false
false
none
https://paperswithcode.com/paper/m2oe-multimodal-collaborative-expert-peptide
M2oE: Multimodal Collaborative Expert Peptide Model
2411.15208
https://arxiv.org/abs/2411.15208v1
https://arxiv.org/pdf/2411.15208v1.pdf
https://github.com/goldzzmj/M2oE
true
false
false
pytorch
https://paperswithcode.com/paper/step-video-t2v-technical-report-the-practice
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
2502.10248
https://arxiv.org/abs/2502.10248v1
https://arxiv.org/pdf/2502.10248v1.pdf
https://github.com/stepfun-ai/step-video-ti2v
false
false
true
pytorch
https://paperswithcode.com/paper/retworkx-a-high-performance-graph-library-for
rustworkx: A High-Performance Graph Library for Python
2110.15221
https://arxiv.org/abs/2110.15221v4
https://arxiv.org/pdf/2110.15221v4.pdf
https://github.com/qiskit/rustworkx
true
true
true
none
https://paperswithcode.com/paper/spectral-density-estimation-for-random-fields
Spectral Density Estimation for Random Fields via Periodic Embeddings
1710.08978
https://arxiv.org/abs/1710.08978v2
https://arxiv.org/pdf/1710.08978v2.pdf
https://github.com/joeguinness/npspec
false
false
true
none
https://paperswithcode.com/paper/image-to-image-mlp-mixer-for-image-1
Image-to-Image MLP-mixer for Image Reconstruction
2202.02018
https://arxiv.org/abs/2202.02018v1
https://arxiv.org/pdf/2202.02018v1.pdf
https://github.com/mli-lab/imaging_mlps
true
true
true
pytorch
https://paperswithcode.com/paper/distributed-node-covering-optimization-for
Distributed Node Covering Optimization for Large Scale Networks and Its Application on Social Advertising
2211.08738
https://arxiv.org/abs/2211.08738v1
https://arxiv.org/pdf/2211.08738v1.pdf
https://github.com/pobooo/pobooo.github.io
false
false
true
none
https://paperswithcode.com/paper/friend-recall-in-online-games-via-pre
Friend Ranking in Online Games via Pre-training Edge Transformers
2302.10043
https://arxiv.org/abs/2302.10043v4
https://arxiv.org/pdf/2302.10043v4.pdf
https://github.com/pobooo/pobooo.github.io
false
false
true
none
https://paperswithcode.com/paper/numerical-relativity-using-a-generalized
Numerical Relativity Using a Generalized Harmonic Decomposition
gr-qc/0407110
https://arxiv.org/abs/gr-qc/0407110v2
https://arxiv.org/pdf/gr-qc/0407110v2.pdf
https://github.com/alejandroc137/ScalarWaveEvolution
false
false
true
tf
https://paperswithcode.com/paper/comprehensive-analysis-of-spherical-bubble
Comprehensive analysis of spherical bubble oscillations and shock wave emission in laser-induced cavitation
2109.04372
https://arxiv.org/abs/2109.04372v1
https://arxiv.org/pdf/2109.04372v1.pdf
https://github.com/X-X-Liang/LIBDAR
true
false
false
none
https://paperswithcode.com/paper/expressive-higher-order-link-prediction
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking
2402.11339
https://arxiv.org/abs/2402.11339v2
https://arxiv.org/pdf/2402.11339v2.pdf
https://github.com/simonzhang00/hypergraphsymmetrybreaking
true
true
false
pytorch
https://paperswithcode.com/paper/focus-towards-universal-foreground
FOCUS: Towards Universal Foreground Segmentation
2501.05238
https://arxiv.org/abs/2501.05238v1
https://arxiv.org/pdf/2501.05238v1.pdf
https://github.com/geshang777/FOCUS
true
false
true
pytorch
https://paperswithcode.com/paper/cevit-copula-enhanced-vision-transformer-in
CeViT: Copula-Enhanced Vision Transformer in multi-task learning and bi-group image covariates with an application to myopia screening
2501.06540
https://arxiv.org/abs/2501.06540v1
https://arxiv.org/pdf/2501.06540v1.pdf
https://github.com/silent618/cevit
true
true
false
pytorch
https://paperswithcode.com/paper/analytical-and-numerical-solutions-to-the
Analytical and numerical solutions to the three-phase Stefan problem with simultaneous occurrences of melting, solidification, boiling, and condensation phenomena
2503.06360
https://arxiv.org/abs/2503.06360v1
https://arxiv.org/pdf/2503.06360v1.pdf
https://github.com/amneetb/ThreePhaseStefan
true
false
false
none
https://paperswithcode.com/paper/intra-class-patch-swap-for-self-distillation
Intra-class Patch Swap for Self-Distillation
2505.14124
https://arxiv.org/abs/2505.14124v1
https://arxiv.org/pdf/2505.14124v1.pdf
https://github.com/hchoi71/intra-class-patch-swap
true
true
false
none
https://paperswithcode.com/paper/automatic-determination-of-quasicrystalline
Automatic determination of quasicrystalline patterns from microscopy images
2503.05472
https://arxiv.org/abs/2503.05472v1
https://arxiv.org/pdf/2503.05472v1.pdf
https://github.com/QuantumMaterialsModelling/AiSurf-Automated-Identification-of-Surface-images
true
false
true
none
https://paperswithcode.com/paper/domain-knowledge-informed-self-supervised
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
2202.14019
https://arxiv.org/abs/2202.14019v2
https://arxiv.org/pdf/2202.14019v2.pdf
https://github.com/ParitoshParmar/Fitness-AQA
true
true
true
pytorch
https://paperswithcode.com/paper/structured-unrestricted-rank-matrices-for
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
2406.17740
https://arxiv.org/abs/2406.17740v3
https://arxiv.org/pdf/2406.17740v3.pdf
https://github.com/arijitthegame/structured-matrices-peft
true
true
false
pytorch
https://paperswithcode.com/paper/security-properties-for-open-source-hardware
Security Properties for Open-Source Hardware Designs
2412.08769
https://arxiv.org/abs/2412.08769v2
https://arxiv.org/pdf/2412.08769v2.pdf
https://github.com/HWSec-UNC/verification-benchmarks
true
false
true
none
https://paperswithcode.com/paper/anisotropic-induced-polarization-modeling
Anisotropic induced polarization modeling with neural networks and effective medium theory
2402.11313
https://arxiv.org/abs/2402.11313v1
https://arxiv.org/pdf/2402.11313v1.pdf
https://github.com/clberube/gemtip-ml
true
false
true
pytorch
https://paperswithcode.com/paper/escaping-spurious-local-minima-of-low-rank
Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition
2204.14067
https://arxiv.org/abs/2204.14067v3
https://arxiv.org/pdf/2204.14067v3.pdf
https://github.com/leepei/bm-global
true
true
true
none
https://paperswithcode.com/paper/opportunities-and-risks-of-llms-for-scalable
Opportunities and Risks of LLMs for Scalable Deliberation with Polis
2306.11932
https://arxiv.org/abs/2306.11932v1
https://arxiv.org/pdf/2306.11932v1.pdf
https://github.com/compdemocracy/polis
true
false
false
none
https://paperswithcode.com/paper/decoding-with-limited-teacher-supervision
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher
2406.18002
https://arxiv.org/abs/2406.18002v2
https://arxiv.org/pdf/2406.18002v2.pdf
https://github.com/hj-ok/declimsup
true
true
true
pytorch
https://paperswithcode.com/paper/mfm-da-instance-aware-adaptor-and
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation Models
2503.00802
https://arxiv.org/abs/2503.00802v1
https://arxiv.org/pdf/2503.00802v1.pdf
https://github.com/HopkinsKwong/MFM-DA
true
false
true
pytorch
https://paperswithcode.com/paper/improve-robustness-of-eye-disease-detection
Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures
2402.16865
https://arxiv.org/abs/2402.16865v3
https://arxiv.org/pdf/2402.16865v3.pdf
https://github.com/anirudhprabhakaran3/gflowout_on_eye_images
true
true
true
pytorch
https://paperswithcode.com/paper/multi-level-optimal-transport-for-universal
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
2412.14528
https://arxiv.org/abs/2412.14528v2
https://arxiv.org/pdf/2412.14528v2.pdf
https://github.com/2018cx/multi-level-ot
true
true
false
pytorch
https://paperswithcode.com/paper/the-law-of-the-unconscious-contrastive
The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
2501.11326
https://arxiv.org/abs/2501.11326v1
https://arxiv.org/pdf/2501.11326v1.pdf
https://github.com/yongweiche/unconsciouscontrastivelearner
true
true
false
pytorch
https://paperswithcode.com/paper/sageattention2-technical-report-accurate-4
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
2411.10958
https://arxiv.org/abs/2411.10958v6
https://arxiv.org/pdf/2411.10958v6.pdf
https://github.com/thu-ml/spargeattn
false
false
true
pytorch
https://paperswithcode.com/paper/multi-output-conformal-regression-a-unified
A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
2501.10533
https://arxiv.org/abs/2501.10533v2
https://arxiv.org/pdf/2501.10533v2.pdf
https://github.com/vekteur/multi-output-conformal-regression
true
true
true
pytorch
https://paperswithcode.com/paper/accretion-and-ablation-in-deformable-solids
Accretion and Ablation in Deformable Solids using an Eulerian Formulation: A Finite Deformation Numerical Method
2502.16348
https://arxiv.org/abs/2502.16348v1
https://arxiv.org/pdf/2502.16348v1.pdf
https://github.com/Kiana-Naghibzadeh/SurfaceGrowth
true
false
false
none
https://paperswithcode.com/paper/collaborative-evaluation-exploring-the
Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
2310.19740
https://arxiv.org/abs/2310.19740v2
https://arxiv.org/pdf/2310.19740v2.pdf
https://github.com/qtli/coeval
true
true
false
pytorch
https://paperswithcode.com/paper/echodfkd-data-free-knowledge-distillation-for
EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data
2409.07566
https://arxiv.org/abs/2409.07566v2
https://arxiv.org/pdf/2409.07566v2.pdf
https://github.com/gregoirepetit/echodfkd
true
true
false
pytorch
https://paperswithcode.com/paper/personax-a-recommendation-agent-oriented-user
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence
2503.02398
https://arxiv.org/abs/2503.02398v1
https://arxiv.org/pdf/2503.02398v1.pdf
https://github.com/ancientshi/personax
true
true
false
pytorch
https://paperswithcode.com/paper/large-angle-convergent-beam-electron
Large-Angle Convergent-Beam Electron Diffraction Patterns via Conditional Generative Adversarial Networks
2503.02852
https://arxiv.org/abs/2503.02852v2
https://arxiv.org/pdf/2503.02852v2.pdf
https://github.com/wephy/ai-diffraction
true
true
false
pytorch
https://paperswithcode.com/paper/towards-detecting-prompt-knowledge-gaps-for
Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution
2501.11709
https://arxiv.org/abs/2501.11709v3
https://arxiv.org/pdf/2501.11709v3.pdf
https://github.com/soar-lab/prompt-knowledge-gap
true
true
false
none
https://paperswithcode.com/paper/proportional-effect-models-for-continuous
A critical evaluation of longitudinal proportional effect models
2502.00214
https://arxiv.org/abs/2502.00214v3
https://arxiv.org/pdf/2502.00214v3.pdf
https://github.com/mcdonohue/propeffects
true
true
false
none
https://paperswithcode.com/paper/cocoevo-co-evolution-of-programs-and-test
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
2502.10802
https://arxiv.org/abs/2502.10802v1
https://arxiv.org/pdf/2502.10802v1.pdf
https://github.com/lbaf23/llm-cocoevo
false
false
false
none
https://paperswithcode.com/paper/variational-diffusion-posterior-sampling-with
Variational Diffusion Posterior Sampling with Midpoint Guidance
2410.09945
https://arxiv.org/abs/2410.09945v2
https://arxiv.org/pdf/2410.09945v2.pdf
https://github.com/yazidjanati/mgps
true
true
false
jax