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

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/cellular-automaton-with-cnn
Cellular Automaton With CNN
2503.02652
https://arxiv.org/abs/2503.02652v1
https://arxiv.org/pdf/2503.02652v1.pdf
https://github.com/ashuvalery/custom_cnn
true
true
false
tf
https://paperswithcode.com/paper/cold-atomic-gas-identified-by-hi-self
Cold atomic gas identified by HI self-absorption. Cold atomic clouds toward giant molecular filaments
2310.02077
https://arxiv.org/abs/2310.02077v1
https://arxiv.org/pdf/2310.02077v1.pdf
https://github.com/astrojoni89/astrosaber
true
true
false
none
https://paperswithcode.com/paper/semievol-semi-supervised-fine-tuning-for-llm
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation
2410.14745
https://arxiv.org/abs/2410.14745v1
https://arxiv.org/pdf/2410.14745v1.pdf
https://github.com/luo-junyu/robustft
false
false
true
none
https://paperswithcode.com/paper/pre-3-enabling-deterministic-pushdown
Pre$^3$: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
2506.03887
https://arxiv.org/abs/2506.03887v1
https://arxiv.org/pdf/2506.03887v1.pdf
https://github.com/modeltc/lightllm
true
true
true
pytorch
https://paperswithcode.com/paper/normal-quaternionic-matrices-and-finitely
Normal Quaternionic Matrices and Finitely Generated Witt Rings
2505.14485
https://arxiv.org/abs/2505.14485v1
https://arxiv.org/pdf/2505.14485v1.pdf
https://github.com/nicolo314/normalquaternionicmatrices
true
true
false
none
https://paperswithcode.com/paper/towards-temporally-consistent-referring-video
Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
2403.19407
https://arxiv.org/abs/2403.19407v2
https://arxiv.org/pdf/2403.19407v2.pdf
https://github.com/bo-miao/HTR
true
true
true
pytorch
https://paperswithcode.com/paper/linear-time-minimum-bayes-risk-decoding-with
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
2402.04251
https://arxiv.org/abs/2402.04251v2
https://arxiv.org/pdf/2402.04251v2.pdf
https://github.com/jvamvas/fastchrf
true
true
true
none
https://paperswithcode.com/paper/multi-modal-grounded-planning-and-efficient
Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few Examples
2412.17288
https://arxiv.org/abs/2412.17288v1
https://arxiv.org/pdf/2412.17288v1.pdf
https://github.com/snumprlab/flare
true
true
true
pytorch
https://paperswithcode.com/paper/vector-quantized-image-modeling-with-improved-1
Vector-quantized Image Modeling with Improved VQGAN
2110.04627
https://arxiv.org/abs/2110.04627v3
https://arxiv.org/pdf/2110.04627v3.pdf
https://github.com/thuanz123/enhancing-transformers
false
false
true
pytorch
https://paperswithcode.com/paper/joint-viewpoint-and-keypoint-estimation-with
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
1912.06274
https://arxiv.org/abs/1912.06274v1
https://arxiv.org/pdf/1912.06274v1.pdf
https://github.com/Heliot7/viewpoint-cnn-syn
true
true
true
none
https://paperswithcode.com/paper/klue-korean-language-understanding-evaluation
KLUE: Korean Language Understanding Evaluation
2105.09680
https://arxiv.org/abs/2105.09680v4
https://arxiv.org/pdf/2105.09680v4.pdf
https://github.com/iflytek/cino
false
false
true
pytorch
https://paperswithcode.com/paper/on-the-structural-memory-of-llm-agents
On the Structural Memory of LLM Agents
2412.15266
https://arxiv.org/abs/2412.15266v1
https://arxiv.org/pdf/2412.15266v1.pdf
https://github.com/zengrh3/StructuralMemory
true
false
false
pytorch
https://paperswithcode.com/paper/aware-net-adaptive-weighted-averaging-for
AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
2505.00312
https://arxiv.org/abs/2505.00312v1
https://arxiv.org/pdf/2505.00312v1.pdf
https://github.com/recluzegeek/AWARE-NET
true
false
true
pytorch
https://paperswithcode.com/paper/real-time-fake-news-from-adversarial-feedback
Real-time Fake News from Adversarial Feedback
2410.14651
https://arxiv.org/abs/2410.14651v2
https://arxiv.org/pdf/2410.14651v2.pdf
https://github.com/sanxing-chen/adv-fake
true
true
true
none
https://paperswithcode.com/paper/avibench-towards-evaluating-the-robustness-of
B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions
2403.09346
https://arxiv.org/abs/2403.09346v2
https://arxiv.org/pdf/2403.09346v2.pdf
https://github.com/zhanghao5201/b-avibench
true
true
false
jax
https://paperswithcode.com/paper/efficient-parallel-genetic-algorithm-for
Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network
2412.20980
https://arxiv.org/abs/2412.20980v1
https://arxiv.org/pdf/2412.20980v1.pdf
https://github.com/netalsgroup/gapa
true
true
true
pytorch
https://paperswithcode.com/paper/natural-language-fine-tuning
Natural Language Fine-Tuning
2412.20382
https://arxiv.org/abs/2412.20382v1
https://arxiv.org/pdf/2412.20382v1.pdf
https://github.com/julia-liuj/nlft
true
true
true
pytorch
https://paperswithcode.com/paper/verifying-the-verifiers-unveiling-pitfalls
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
2506.13342
https://arxiv.org/abs/2506.13342v1
https://arxiv.org/pdf/2506.13342v1.pdf
https://github.com/just1nseo/verifying-the-verifiers
true
true
true
none
https://paperswithcode.com/paper/accelerating-diffusion-transformers-with
Accelerating Diffusion Transformers with Token-wise Feature Caching
2410.05317
https://arxiv.org/abs/2410.05317v3
https://arxiv.org/pdf/2410.05317v3.pdf
https://github.com/shenyi-z/duca
false
false
true
pytorch
https://paperswithcode.com/paper/accelerating-diffusion-transformers-with-dual
Accelerating Diffusion Transformers with Dual Feature Caching
2412.18911
https://arxiv.org/abs/2412.18911v1
https://arxiv.org/pdf/2412.18911v1.pdf
https://github.com/shenyi-z/duca
true
true
true
pytorch
https://paperswithcode.com/paper/knowledge-graph-extraction-from-videos
Knowledge Graph Extraction from Videos
2007.10040
https://arxiv.org/abs/2007.10040v1
https://arxiv.org/pdf/2007.10040v1.pdf
https://github.com/Taniya-Das/video_annotation
false
false
true
pytorch
https://paperswithcode.com/paper/causal-similarity-based-hierarchical-bayesian
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms
2310.12595
https://arxiv.org/abs/2310.12595v3
https://arxiv.org/pdf/2310.12595v3.pdf
https://github.com/sophiewharrie/meta-learning-hierarchical-model-similar-causal-mechanisms
true
true
true
jax
https://paperswithcode.com/paper/federated-foundation-model-for-cardiac-ct
Real World Federated Learning with a Knowledge Distilled Transformer for Cardiac CT Imaging
2407.07557
https://arxiv.org/abs/2407.07557v2
https://arxiv.org/pdf/2407.07557v2.pdf
https://github.com/cardio-ai/fedkd-for-cardiac-ct
true
true
true
pytorch
https://paperswithcode.com/paper/adaptershadow-adapting-segment-anything-model
AdapterShadow: Adapting Segment Anything Model for Shadow Detection
2311.08891
https://arxiv.org/abs/2311.08891v1
https://arxiv.org/pdf/2311.08891v1.pdf
https://github.com/leipingjie/adaptershadow
true
true
true
pytorch
https://paperswithcode.com/paper/hybrid-genetic-optimisation-for-quantum
Hybrid Genetic Optimisation for Quantum Feature Map Design
2302.02980
https://arxiv.org/abs/2302.02980v1
https://arxiv.org/pdf/2302.02980v1.pdf
https://github.com/rowpj/hybrid-genetic-optimisation-for-quantum-feature-map-design
true
true
true
none
https://paperswithcode.com/paper/2506-06971
Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation
2506.06971
https://arxiv.org/abs/2506.06971v2
https://arxiv.org/pdf/2506.06971v2.pdf
https://github.com/jrohsc/Chain-of-Code-Collapse
true
true
true
none
https://paperswithcode.com/paper/discovering-message-passing-hierarchies-for
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
2410.03779
https://arxiv.org/abs/2410.03779v3
https://arxiv.org/pdf/2410.03779v3.pdf
https://github.com/hbell99/evomesh
true
true
true
pytorch
https://paperswithcode.com/paper/fedpref-federated-learning-across
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences
2501.13604
https://arxiv.org/abs/2501.13604v1
https://arxiv.org/pdf/2501.13604v1.pdf
https://gitlab.com/maria.hartmann/FedPref
true
false
false
pytorch
https://paperswithcode.com/paper/fast-multimodal-journey-planning-for-three
Fast Multimodal Journey Planning for Three Criteria
2110.12954
https://arxiv.org/abs/2110.12954v1
https://arxiv.org/pdf/2110.12954v1.pdf
https://github.com/TransitRouting/FLASH-TB
false
false
true
none
https://paperswithcode.com/paper/unlimited-transfers-for-multi-modal-route
UnLimited TRAnsfers for Multi-Modal Route Planning: An Efficient Solution
1906.04832
https://arxiv.org/abs/1906.04832v3
https://arxiv.org/pdf/1906.04832v3.pdf
https://github.com/TransitRouting/FLASH-TB
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/uppaal/detox-edit
false
false
true
pytorch
https://paperswithcode.com/paper/kto-model-alignment-as-prospect-theoretic
KTO: Model Alignment as Prospect Theoretic Optimization
2402.01306
https://arxiv.org/abs/2402.01306v4
https://arxiv.org/pdf/2402.01306v4.pdf
https://github.com/uppaal/detox-edit
false
false
true
pytorch
https://paperswithcode.com/paper/revisiting-in-context-learning-inference
Revisiting In-context Learning Inference Circuit in Large Language Models
2410.04468
https://arxiv.org/abs/2410.04468v3
https://arxiv.org/pdf/2410.04468v3.pdf
https://github.com/hc495/ICL_Circuit
true
false
true
pytorch
https://paperswithcode.com/paper/diverse-preference-augmentation-with-multiple
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
2204.00327
https://arxiv.org/abs/2204.00327v1
https://arxiv.org/pdf/2204.00327v1.pdf
https://github.com/yixianqianzy/dpa
true
false
false
pytorch
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/jsonschemabench
true
true
true
none
https://paperswithcode.com/paper/sciqag-a-framework-for-auto-generated
SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation
2405.09939
https://arxiv.org/abs/2405.09939v2
https://arxiv.org/pdf/2405.09939v2.pdf
https://github.com/masterai-eam/sciqag
false
false
true
none
https://paperswithcode.com/paper/locational-energy-storage-bid-bounds-for
Locational Energy Storage Bid Bounds for Facilitating Social Welfare Convergence
2502.18598
https://arxiv.org/abs/2502.18598v3
https://arxiv.org/pdf/2502.18598v3.pdf
https://github.com/thuqining/Storage_Pricing_for_Social_Welfare_Maximization
true
false
false
none
https://paperswithcode.com/paper/order-robust-class-incremental-learning-graph
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
2502.20032
https://arxiv.org/abs/2502.20032v1
https://arxiv.org/pdf/2502.20032v1.pdf
https://github.com/aignlai/gddsg
true
true
false
pytorch
https://paperswithcode.com/paper/c-drag-chain-of-thought-driven-motion
C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation
2502.19868
https://arxiv.org/abs/2502.19868v1
https://arxiv.org/pdf/2502.19868v1.pdf
https://github.com/weslee88524/c-drag-official-repo
true
true
true
none
https://paperswithcode.com/paper/attentive-reasoning-queries-a-systematic
Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models
2503.03669
https://arxiv.org/abs/2503.03669v1
https://arxiv.org/pdf/2503.03669v1.pdf
https://github.com/emcie-co/parlant
true
true
false
none
https://paperswithcode.com/paper/an-aspect-extraction-framework-using
An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency Structure
2503.03512
https://arxiv.org/abs/2503.03512v1
https://arxiv.org/pdf/2503.03512v1.pdf
https://github.com/alierkan/Turkish-ABSA
true
false
false
none
https://paperswithcode.com/paper/r-sparse-r-cnn-sar-ship-detection-based-on
R-Sparse R-CNN: SAR Ship Detection Based on Background-Aware Sparse Learnable Proposals
2504.18959
https://arxiv.org/abs/2504.18959v1
https://arxiv.org/pdf/2504.18959v1.pdf
https://github.com/ka-mirul/r-sparse-r-cnn
true
true
true
pytorch
https://paperswithcode.com/paper/enigmatom-improve-llms-theory-of-mind
EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States
2503.03340
https://arxiv.org/abs/2503.03340v1
https://arxiv.org/pdf/2503.03340v1.pdf
https://github.com/seacowx/EnigmaToM
true
false
false
none
https://paperswithcode.com/paper/bhvit-binarized-hybrid-vision-transformer
BHViT: Binarized Hybrid Vision Transformer
2503.02394
https://arxiv.org/abs/2503.02394v2
https://arxiv.org/pdf/2503.02394v2.pdf
https://github.com/IMRL/BHViT
true
false
true
pytorch
https://paperswithcode.com/paper/adaptive-lio-enhancing-robustness-and
Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry
2503.05077
https://arxiv.org/abs/2503.05077v1
https://arxiv.org/pdf/2503.05077v1.pdf
https://github.com/chengwei0427/adaptive_lio
true
true
true
none
https://paperswithcode.com/paper/distillm-towards-streamlined-distillation-for
DistiLLM: Towards Streamlined Distillation for Large Language Models
2402.03898
https://arxiv.org/abs/2402.03898v2
https://arxiv.org/pdf/2402.03898v2.pdf
https://github.com/jongwooko/distillm-2
false
false
true
pytorch
https://paperswithcode.com/paper/sparse-r-cnn-obb-ship-target-detection-in-sar
Sparse R-CNN OBB: Ship Target Detection in SAR Images Based on Oriented Sparse Proposals
2409.07973
https://arxiv.org/abs/2409.07973v1
https://arxiv.org/pdf/2409.07973v1.pdf
https://github.com/ka-mirul/r-sparse-r-cnn
false
false
true
pytorch
https://paperswithcode.com/paper/chatvla-unified-multimodal-understanding-and
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
2502.14420
https://arxiv.org/abs/2502.14420v2
https://arxiv.org/pdf/2502.14420v2.pdf
https://github.com/tutujingyugang1/ChatVLA_public
true
false
true
pytorch
https://paperswithcode.com/paper/faster-iva-update-rules-for-independent
Faster IVA: Update Rules for Independent Vector Analysis based on Negentropy and the Majorize-Minimize Principle
2003.09531
https://arxiv.org/abs/2003.09531v2
https://arxiv.org/pdf/2003.09531v2.pdf
https://github.com/tky823/ssspy
false
false
true
none
https://paperswithcode.com/paper/independent-low-rank-matrix-analysis-based-on-3
Independent Low-Rank Matrix Analysis Based on Parametric Majorization-Equalization Algorithm
1710.01589
https://arxiv.org/abs/1710.01589v1
https://arxiv.org/pdf/1710.01589v1.pdf
https://github.com/tky823/ssspy
false
false
true
none
https://paperswithcode.com/paper/fnin-a-fourier-neural-operator-based
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients
2501.11876
https://arxiv.org/abs/2501.11876v1
https://arxiv.org/pdf/2501.11876v1.pdf
https://github.com/nailwatts/fnin
true
true
true
pytorch
https://paperswithcode.com/paper/fast-inexact-bilevel-optimization-for
Fast Inexact Bilevel Optimization for Analytical Deep Image Priors
2502.09758
https://arxiv.org/abs/2502.09758v2
https://arxiv.org/pdf/2502.09758v2.pdf
https://github.com/MohammadSadeghSalehi/Analytical-Deep-Priors
true
false
true
pytorch
https://paperswithcode.com/paper/conceptrol-concept-control-of-zero-shot
Conceptrol: Concept Control of Zero-shot Personalized Image Generation
2503.06568
https://arxiv.org/abs/2503.06568v1
https://arxiv.org/pdf/2503.06568v1.pdf
https://github.com/qy-h00/conceptrol
true
true
true
pytorch
https://paperswithcode.com/paper/text-iss-2-an-extension-of-iterative-source
ISS2: An Extension of Iterative Source Steering Algorithm for Majorization-Minimization-Based Independent Vector Analysis
2202.00875
https://arxiv.org/abs/2202.00875v3
https://arxiv.org/pdf/2202.00875v3.pdf
https://github.com/tky823/ssspy
false
false
true
none
https://paperswithcode.com/paper/physics-informed-neural-networks-for-solving-9
Physics-Informed Neural Networks for Solving the Two-Dimensional Shallow Water Equations with Terrain Topography and Rainfall Source Terms
2501.11372
https://arxiv.org/abs/2501.11372v1
https://arxiv.org/pdf/2501.11372v1.pdf
https://github.com/tianyongsen/PINN_SWE_open
true
false
false
jax
https://paperswithcode.com/paper/a-tutorial-on-multi-time-scale-optimization
A Tutorial on Multi-time Scale Optimization Models and Algorithms
2502.20568
https://arxiv.org/abs/2502.20568v2
https://arxiv.org/pdf/2502.20568v2.pdf
https://github.com/li-group/multiscaleopt-tutorial
true
true
false
none
https://paperswithcode.com/paper/badrefsr-backdoor-attacks-against-reference
BadRefSR: Backdoor Attacks Against Reference-based Image Super Resolution
2502.20943
https://arxiv.org/abs/2502.20943v1
https://arxiv.org/pdf/2502.20943v1.pdf
https://github.com/xuefusiji/badrefsr
true
true
false
pytorch
https://paperswithcode.com/paper/trajectory-inference-with-smooth-schrodinger
Trajectory Inference with Smooth Schrödinger Bridges
2503.00530
https://arxiv.org/abs/2503.00530v1
https://arxiv.org/pdf/2503.00530v1.pdf
https://github.com/wanlihongc/smooth_sb
true
true
false
none
https://paperswithcode.com/paper/fast-population-based-reinforcement-learning
Fast Population-Based Reinforcement Learning on a Single Machine
2206.08888
https://arxiv.org/abs/2206.08888v1
https://arxiv.org/pdf/2206.08888v1.pdf
https://github.com/instadeepai/fastpbrl
false
false
true
jax
https://paperswithcode.com/paper/accurate-effective-fluid-approximation-for
Accurate effective fluid approximation for ultralight axions
2201.10238
https://arxiv.org/abs/2201.10238v2
https://arxiv.org/pdf/2201.10238v2.pdf
https://github.com/adammoss/axicamb
false
false
true
none
https://paperswithcode.com/paper/lotus-diffusion-based-visual-foundation-model
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
2409.18124
https://arxiv.org/abs/2409.18124v5
https://arxiv.org/pdf/2409.18124v5.pdf
https://github.com/envision-research/lotus
false
false
true
pytorch
https://paperswithcode.com/paper/vision-language-action-model-with-open-world
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
2505.21906
https://arxiv.org/abs/2505.21906v2
https://arxiv.org/pdf/2505.21906v2.pdf
https://github.com/tutujingyugang1/ChatVLA_public
false
false
true
pytorch
https://paperswithcode.com/paper/qwen2-vl-enhancing-vision-language-model-s
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
2409.12191
https://arxiv.org/abs/2409.12191v2
https://arxiv.org/pdf/2409.12191v2.pdf
https://github.com/tutujingyugang1/ChatVLA_public
false
false
true
pytorch
https://paperswithcode.com/paper/vlmevalkit-an-open-source-toolkit-for
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
2407.11691
https://arxiv.org/abs/2407.11691v2
https://arxiv.org/pdf/2407.11691v2.pdf
https://github.com/tutujingyugang1/ChatVLA_public
false
false
true
pytorch
https://paperswithcode.com/paper/aligned-but-blind-alignment-increases
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
2506.00253
https://arxiv.org/abs/2506.00253v3
https://arxiv.org/pdf/2506.00253v3.pdf
https://github.com/slhleosun/aligned-but-blind
true
true
true
pytorch
https://paperswithcode.com/paper/controlled-stochastic-processes-for-simulated
Controlled stochastic processes for simulated annealing
2504.08506
https://arxiv.org/abs/2504.08506v1
https://arxiv.org/pdf/2504.08506v1.pdf
https://github.com/vincentmolin/controlled_annealing
true
true
true
jax
https://paperswithcode.com/paper/computing-matrix-varphi-functions-arising-in
Computing matrix $\varphi$-functions arising in exponential integrators
2506.01193
https://arxiv.org/abs/2506.01193v1
https://arxiv.org/pdf/2506.01193v1.pdf
https://github.com/xiaobo-liu/phi_funm
true
false
true
none
https://paperswithcode.com/paper/pruning-then-reweighting-towards-data
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models
2409.19128
https://arxiv.org/abs/2409.19128v2
https://arxiv.org/pdf/2409.19128v2.pdf
https://github.com/yeez-lee/data-selection-and-reweighting-for-diffusion-models
true
true
true
none
https://paperswithcode.com/paper/removing-degeneracy-and-multimodality-in
Removing degeneracy and multimodality in gravitational wave source parameters
2207.03508
https://arxiv.org/abs/2207.03508v2
https://arxiv.org/pdf/2207.03508v2.pdf
https://github.com/jroulet/cogwheel
true
true
true
none
https://paperswithcode.com/paper/fast-marginalization-algorithm-for-optimizing
Fast marginalization algorithm for optimizing gravitational wave detection, parameter estimation and sky localization
2404.02435
https://arxiv.org/abs/2404.02435v2
https://arxiv.org/pdf/2404.02435v2.pdf
https://github.com/jroulet/cogwheel
true
true
true
none
https://paperswithcode.com/paper/motion-x-a-large-scale-3d-expressive-whole
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
2307.00818
https://arxiv.org/abs/2307.00818v2
https://arxiv.org/pdf/2307.00818v2.pdf
https://github.com/idea-research/motion-x
true
true
true
pytorch
https://paperswithcode.com/paper/an-openmind-for-3d-medical-vision-self
An OpenMind for 3D medical vision self-supervised learning
2412.17041
https://arxiv.org/abs/2412.17041v2
https://arxiv.org/pdf/2412.17041v2.pdf
https://github.com/mic-dkfz/nnssl
true
true
false
pytorch
https://paperswithcode.com/paper/nanopub-java-a-java-library-for
nanopub-java: A Java Library for Nanopublications
1508.04977
http://arxiv.org/abs/1508.04977v1
http://arxiv.org/pdf/1508.04977v1.pdf
https://github.com/Nanopublication/nanopub-java
true
true
true
none
https://paperswithcode.com/paper/share-with-thy-neighbors-single-view
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
2204.10310
https://arxiv.org/abs/2204.10310v3
https://arxiv.org/pdf/2204.10310v3.pdf
https://github.com/xiaoqianruan1/partonomic_reconstruction
false
false
true
none
https://paperswithcode.com/paper/collisional-fragmentation-support-in-trace
Collisional Fragmentation Support in TRACE
2505.04399
https://arxiv.org/abs/2505.04399v1
https://arxiv.org/pdf/2505.04399v1.pdf
https://github.com/tigerchenlu98/rebound
true
true
false
none
https://paperswithcode.com/paper/efficient-connectivity-preserving-instance
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
2501.01022
https://arxiv.org/abs/2501.01022v3
https://arxiv.org/pdf/2501.01022v3.pdf
https://github.com/allenneuraldynamics/supervoxel-loss
true
true
true
pytorch
https://paperswithcode.com/paper/pl-vins-real-time-monocular-visual-inertial
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features
2009.07462
https://arxiv.org/abs/2009.07462v3
https://arxiv.org/pdf/2009.07462v3.pdf
https://github.com/lihaoy-ux/mline-vins
false
false
true
none
https://paperswithcode.com/paper/dynamic-hologram-generation-with-automatic
Dynamic Hologram Generation with Automatic Differentiation
2503.03714
https://arxiv.org/abs/2503.03714v1
https://arxiv.org/pdf/2503.03714v1.pdf
https://github.com/xingyuzhang2018/holograd.jl
true
true
true
none
https://paperswithcode.com/paper/co-mtp-a-cooperative-trajectory-prediction
Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving
2502.16589
https://arxiv.org/abs/2502.16589v2
https://arxiv.org/pdf/2502.16589v2.pdf
https://github.com/xiaomiaozhang/Co-MTP
true
false
true
pytorch
https://paperswithcode.com/paper/grasp-graph-structured-pyramidal-whole-slide
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation
2402.03592
https://arxiv.org/abs/2402.03592v2
https://arxiv.org/pdf/2402.03592v2.pdf
https://github.com/aimlab-ubc/grasp
true
true
false
pytorch
https://paperswithcode.com/paper/adaptive-teachers-for-amortized-samplers
Adaptive teachers for amortized samplers
2410.01432
https://arxiv.org/abs/2410.01432v2
https://arxiv.org/pdf/2410.01432v2.pdf
https://github.com/alstn12088/adaptive-teacher
true
true
true
pytorch
https://paperswithcode.com/paper/scrutinize-what-we-ignore-reining-task
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
2405.12001
https://arxiv.org/abs/2405.12001v4
https://arxiv.org/pdf/2405.12001v4.pdf
https://github.com/betray12138/task-representation-shift
true
true
false
pytorch
https://paperswithcode.com/paper/neurolm-a-universal-multi-task-foundation
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
2409.00101
https://arxiv.org/abs/2409.00101v3
https://arxiv.org/pdf/2409.00101v3.pdf
https://github.com/935963004/neurolm
true
true
false
pytorch
https://paperswithcode.com/paper/recgaze-the-first-eye-tracking-and-user
RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces
2504.20792
https://arxiv.org/abs/2504.20792v1
https://arxiv.org/pdf/2504.20792v1.pdf
https://github.com/santideleon/recgaze_dataset
true
true
true
none
https://paperswithcode.com/paper/llm-agent-operating-system
AIOS: LLM Agent Operating System
2403.16971
https://arxiv.org/abs/2403.16971v4
https://arxiv.org/pdf/2403.16971v4.pdf
https://github.com/agiresearch/aios
true
true
true
none
https://paperswithcode.com/paper/interaction-dataset-an-international
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
1910.03088
https://arxiv.org/abs/1910.03088v1
https://arxiv.org/pdf/1910.03088v1.pdf
https://github.com/westny/dronalize
false
false
true
pytorch
https://paperswithcode.com/paper/the-highd-dataset-a-drone-dataset-of
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
1810.05642
http://arxiv.org/abs/1810.05642v1
http://arxiv.org/pdf/1810.05642v1.pdf
https://github.com/westny/dronalize
false
false
true
pytorch
https://paperswithcode.com/paper/sind-a-drone-dataset-at-signalized
SIND: A Drone Dataset at Signalized Intersection in China
2209.02297
https://arxiv.org/abs/2209.02297v1
https://arxiv.org/pdf/2209.02297v1.pdf
https://github.com/westny/dronalize
false
false
true
pytorch
https://paperswithcode.com/paper/molecular-fingerprints-are-strong-models-for
Molecular Fingerprints Are Strong Models for Peptide Function Prediction
2501.17901
https://arxiv.org/abs/2501.17901v1
https://arxiv.org/pdf/2501.17901v1.pdf
https://github.com/arch4ngel21/scikit-fingerprints
false
false
true
none
https://paperswithcode.com/paper/ensemble-adversarial-training-attacks-and
Ensemble Adversarial Training: Attacks and Defenses
1705.07204
https://arxiv.org/abs/1705.07204v5
https://arxiv.org/pdf/1705.07204v5.pdf
https://github.com/MindSpore-scientific-2/code-12/tree/main/fed-ensemble-main-ms
false
false
false
mindspore
https://paperswithcode.com/paper/joint-flying-relay-location-and-routing
Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach
null
https://www.mdpi.com/2072-4292/14/17/4377
https://www.mdpi.com/2072-4292/14/17/4377/pdf
https://github.com/MindSpore-scientific/code-10/tree/main/RGNN
false
false
false
mindspore
https://paperswithcode.com/paper/testeval-benchmarking-large-language-models
TESTEVAL: Benchmarking Large Language Models for Test Case Generation
2406.04531
https://arxiv.org/abs/2406.04531v2
https://arxiv.org/pdf/2406.04531v2.pdf
https://github.com/llm4softwaretesting/testeval
true
true
false
none
https://paperswithcode.com/paper/spatio-temporal-graph-neural-network-for
Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume
2505.06292
https://arxiv.org/abs/2505.06292v1
https://arxiv.org/pdf/2505.06292v1.pdf
https://github.com/silkekaiser/GNNUI
true
false
false
pytorch
https://paperswithcode.com/paper/llm-safety-alignment-is-divergence-estimation
LLM Safety Alignment is Divergence Estimation in Disguise
2502.00657
https://arxiv.org/abs/2502.00657v2
https://arxiv.org/pdf/2502.00657v2.pdf
https://github.com/rhaldarpurdue/kldo
true
true
false
pytorch
https://paperswithcode.com/paper/sprint-an-assistant-for-issue-report
SPRINT: An Assistant for Issue Report Management
2502.04147
https://arxiv.org/abs/2502.04147v2
https://arxiv.org/pdf/2502.04147v2.pdf
https://github.com/sea-lab-wm/sprint_issue_report_assistant_tool
true
true
false
pytorch
https://paperswithcode.com/paper/adversarial-attacks-on-multimodal-agents
Dissecting Adversarial Robustness of Multimodal LM Agents
2406.12814
https://arxiv.org/abs/2406.12814v3
https://arxiv.org/pdf/2406.12814v3.pdf
https://github.com/chenwu98/agent-attack
true
true
true
pytorch
https://paperswithcode.com/paper/limesoda-a-dataset-collection-for
LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping
2502.20139
https://arxiv.org/abs/2502.20139v2
https://arxiv.org/pdf/2502.20139v2.pdf
https://github.com/JonasSchmidinger/LimeSoDa
false
true
false
none
https://paperswithcode.com/paper/vision-and-language-reference-prompt-into-sam
Vision and Language Reference Prompt into SAM for Few-shot Segmentation
2502.00719
https://arxiv.org/abs/2502.00719v1
https://arxiv.org/pdf/2502.00719v1.pdf
https://github.com/kosukesakurai1/vlp-sam
true
true
true
pytorch
https://paperswithcode.com/paper/investalign-overcoming-data-scarcity-in
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
2507.06528
https://arxiv.org/abs/2507.06528v1
https://arxiv.org/pdf/2507.06528v1.pdf
https://github.com/thu-social-network-research-group/InvestAlign
true
true
false
none
https://paperswithcode.com/paper/barren-plateaus-are-swamped-with-traps
Barren plateaus are swamped with traps
2405.05332
https://arxiv.org/abs/2405.05332v1
https://arxiv.org/pdf/2405.05332v1.pdf
https://github.com/idnm/barren_traps
false
false
true
jax