Split (1)

train · 300k rows

paper_url stringlengths 36 81	paper_title stringlengths 1 242 ⌀	paper_arxiv_id stringlengths 9 16 ⌀	paper_url_abs stringlengths 18 314	paper_url_pdf stringlengths 21 935 ⌀	repo_url stringlengths 26 200	is_official bool 2 classes	mentioned_in_paper bool 2 classes	mentioned_in_github bool 2 classes	framework stringclasses 9 values
https://paperswithcode.com/paper/dsvt-dynamic-sparse-voxel-transformer-with	DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets	2301.06051	https://arxiv.org/abs/2301.06051v2	https://arxiv.org/pdf/2301.06051v2.pdf	https://github.com/open-mmlab/OpenPCDet	true	true	true	pytorch
https://paperswithcode.com/paper/evaluating-variants-of-wav2vec-2-0-on	Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst Tasks	null	https://ieeexplore.ieee.org/document/10096552	https://ieeexplore.ieee.org/document/10096552	https://github.com/bagustris/A-VB2022_CCC	false	false	false	pytorch
https://paperswithcode.com/paper/flowmur-a-stealthy-and-practical-audio	FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge	2312.09665	https://arxiv.org/abs/2312.09665v2	https://arxiv.org/pdf/2312.09665v2.pdf	https://github.com/cristinalan/flowmur	true	true	false	pytorch
https://paperswithcode.com/paper/minigpt-4-enhancing-vision-language	MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models	2304.10592	https://arxiv.org/abs/2304.10592v2	https://arxiv.org/pdf/2304.10592v2.pdf	https://github.com/2024-MindSpore-1/Code5/tree/main/advanced_east	false	false	false	mindspore
https://paperswithcode.com/paper/beta-rank-a-robust-convolutional-filter	Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis	2304.07461	https://arxiv.org/abs/2304.07461v2	https://arxiv.org/pdf/2304.07461v2.pdf	https://github.com/mohofar/beta-rank	true	true	false	pytorch
https://paperswithcode.com/paper/sentence-level-multimodal-and-language	SONAR: Sentence-Level Multimodal and Language-Agnostic Representations	2308.11466	https://arxiv.org/abs/2308.11466v2	https://arxiv.org/pdf/2308.11466v2.pdf	https://github.com/facebookresearch/sonar	true	true	true	pytorch
https://paperswithcode.com/paper/dive-into-self-supervised-learning-for	Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks	2209.12157	https://arxiv.org/abs/2209.12157v2	https://arxiv.org/pdf/2209.12157v2.pdf	https://github.com/endoluminalsurgicalvision-imr/medical-ssl	true	true	true	pytorch
https://paperswithcode.com/paper/graph2vec-learning-distributed	graph2vec: Learning Distributed Representations of Graphs	1707.05005	http://arxiv.org/abs/1707.05005v1	http://arxiv.org/pdf/1707.05005v1.pdf	https://github.com/compnet/pang	false	false	true	tf
https://paperswithcode.com/paper/ml4c-seeing-causality-through-latent-vicinity	ML4C: Seeing Causality Through Latent Vicinity	2110.00637	https://arxiv.org/abs/2110.00637v4	https://arxiv.org/pdf/2110.00637v4.pdf	https://github.com/microsoft/ml4c	true	true	true	none
https://paperswithcode.com/paper/uncovering-the-background-induced-bias-in-rgb	Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation	2304.08230	https://arxiv.org/abs/2304.08230v1	https://arxiv.org/pdf/2304.08230v1.pdf	https://github.com/elego9/6dp-data-bias	true	true	false	tf
https://paperswithcode.com/paper/enhancing-semantic-correlation-between	Enhancing Semantic Correlation between Instances and Relations for Zero-Shot Relation Extraction	null	https://www.jstage.jst.go.jp/article/jnlp/30/2/30_304/_article/-char/en	https://www.jstage.jst.go.jp/article/jnlp/30/2/30_304/_pdf/-char/en	https://github.com/vhientran/Code-ZSRE	false	true	false	pytorch
https://paperswithcode.com/paper/multiscale-principle-of-relevant-information	Multiscale Principle of Relevant Information for Hyperspectral Image Classification	1907.06022	https://arxiv.org/abs/1907.06022v3	https://arxiv.org/pdf/1907.06022v3.pdf	https://github.com/SJYuCNEL/Principle-of-Relevant-Information-and-HSI-Classification	false	false	true	none
https://paperswithcode.com/paper/root-graded-groups	Root Graded Groups	2404.02042	https://arxiv.org/abs/2404.02042v1	https://arxiv.org/pdf/2404.02042v1.pdf	https://github.com/twiedemann/rootgradedgroups	true	true	false	none
https://paperswithcode.com/paper/dense-atomic-construction-of-densely	Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths	2210.07621	https://arxiv.org/abs/2210.07621v2	https://arxiv.org/pdf/2210.07621v2.pdf	https://github.com/nustm/dense-atomic	true	true	false	pytorch
https://paperswithcode.com/paper/deep-transformer-q-networks-for-partially	Deep Transformer Q-Networks for Partially Observable Reinforcement Learning	2206.01078	https://arxiv.org/abs/2206.01078v2	https://arxiv.org/pdf/2206.01078v2.pdf	https://github.com/kevslinger/dtqn	true	true	true	pytorch
https://paperswithcode.com/paper/controlling-class-layout-for-deep-ordinal	Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning	2303.00396	https://arxiv.org/abs/2303.00396v4	https://arxiv.org/pdf/2303.00396v4.pdf	https://github.com/tenvence/cpl	true	true	false	pytorch
https://paperswithcode.com/paper/effects-of-spectral-normalization-in-multi	Effects of Spectral Normalization in Multi-agent Reinforcement Learning	2212.05331	https://arxiv.org/abs/2212.05331v2	https://arxiv.org/pdf/2212.05331v2.pdf	https://github.com/kinalmehta/epymarl_spectral	true	false	true	pytorch
https://paperswithcode.com/paper/hypertuner-a-cross-layer-multi-objective	HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services	2304.10051	https://arxiv.org/abs/2304.10051v1	https://arxiv.org/pdf/2304.10051v1.pdf	https://github.com/zss233-21/hypertuner	true	true	false	tf
https://paperswithcode.com/paper/efficient-multi-order-gated-aggregation	MogaNet: Multi-order Gated Aggregation Network	2211.03295	https://arxiv.org/abs/2211.03295v3	https://arxiv.org/pdf/2211.03295v3.pdf	https://github.com/Westlake-AI/MogaNet	true	true	true	pytorch
https://paperswithcode.com/paper/decreasing-annotation-burden-of-pairwise	Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating	2202.04823	https://arxiv.org/abs/2202.04823v1	https://arxiv.org/pdf/2202.04823v1.pdf	https://github.com/gsnlyd/slicelabeler	true	true	true	none
https://paperswithcode.com/paper/picking-up-quantization-steps-for-compressed	Picking Up Quantization Steps for Compressed Image Classification	2304.10714	https://arxiv.org/abs/2304.10714v1	https://arxiv.org/pdf/2304.10714v1.pdf	https://github.com/limapku/qsam	true	true	false	pytorch
https://paperswithcode.com/paper/receval-evaluating-reasoning-chains-via	ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness	2304.10703	https://arxiv.org/abs/2304.10703v2	https://arxiv.org/pdf/2304.10703v2.pdf	https://github.com/archiki/receval	true	true	true	pytorch
https://paperswithcode.com/paper/neural-arithmetic-logic-units	Neural Arithmetic Logic Units	1808.00508	http://arxiv.org/abs/1808.00508v1	http://arxiv.org/pdf/1808.00508v1.pdf	https://github.com/MindSpore-scientific-2/code-5/tree/main/nalu.ms	false	false	false	mindspore
https://paperswithcode.com/paper/securing-distributed-sgd-against-gradient	Securing Distributed SGD against Gradient Leakage Threats	2305.06473	https://arxiv.org/abs/2305.06473v1	https://arxiv.org/pdf/2305.06473v1.pdf	https://github.com/git-disl/fed-alphacdp	true	true	false	tf
https://paperswithcode.com/paper/multi-digit-number-recognition-from-street	Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks	1312.6082	http://arxiv.org/abs/1312.6082v4	http://arxiv.org/pdf/1312.6082v4.pdf	https://github.com/JennyVanessa/Paddle-SVHN	false	false	true	paddle
https://paperswithcode.com/paper/one-4-all-neural-potential-fields-for	One-4-All: Neural Potential Fields for Embodied Navigation	2303.04011	https://arxiv.org/abs/2303.04011v3	https://arxiv.org/pdf/2303.04011v3.pdf	https://github.com/montrealrobotics/one4all	false	false	true	pytorch
https://paperswithcode.com/paper/uniformerv2-spatiotemporal-learning-by-arming-1	UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer	2211.09552	https://arxiv.org/abs/2211.09552v1	https://arxiv.org/pdf/2211.09552v1.pdf	https://github.com/innat/UniFormerV2	false	false	true	tf
https://paperswithcode.com/paper/image-and-video-tokenization-with-binary	Image and Video Tokenization with Binary Spherical Quantization	2406.07548	https://arxiv.org/abs/2406.07548v1	https://arxiv.org/pdf/2406.07548v1.pdf	https://github.com/lucidrains/vector-quantize-pytorch	false	false	false	pytorch
https://paperswithcode.com/paper/advancing-visual-grounding-with-scene-1	Advancing Visual Grounding with Scene Knowledge: Benchmark and Method	2307.11558	https://arxiv.org/abs/2307.11558v1	https://arxiv.org/pdf/2307.11558v1.pdf	https://github.com/zhjohnchan/sk-vg	true	true	false	none
https://paperswithcode.com/paper/rc-autocalib-an-end-to-end-radar-camera	RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network	2505.22427	https://arxiv.org/abs/2505.22427v1	https://arxiv.org/pdf/2505.22427v1.pdf	https://github.com/nycu-acm/rc-autocalib	true	true	false	none
https://paperswithcode.com/paper/rethinking-federated-learning-with-domain	Rethinking Federated Learning With Domain Shift: A Prototype View	null	http://openaccess.thecvf.com//content/CVPR2023/html/Huang_Rethinking_Federated_Learning_With_Domain_Shift_A_Prototype_View_CVPR_2023_paper.html	http://openaccess.thecvf.com//content/CVPR2023/papers/Huang_Rethinking_Federated_Learning_With_Domain_Shift_A_Prototype_View_CVPR_2023_paper.pdf	https://github.com/wenkehuang/rethinkfl	true	true	false	pytorch
https://paperswithcode.com/paper/few-shot-class-incremental-learning-via-class	Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation	null	http://openaccess.thecvf.com//content/CVPR2023/html/Zhao_Few-Shot_Class-Incremental_Learning_via_Class-Aware_Bilateral_Distillation_CVPR_2023_paper.html	http://openaccess.thecvf.com//content/CVPR2023/papers/Zhao_Few-Shot_Class-Incremental_Learning_via_Class-Aware_Bilateral_Distillation_CVPR_2023_paper.pdf	https://github.com/linglanzhao/bidistfscil	true	true	false	pytorch
https://paperswithcode.com/paper/manifold-aware-self-training-for-unsupervised	Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose	2305.10808	https://arxiv.org/abs/2305.10808v2	https://arxiv.org/pdf/2305.10808v2.pdf	https://github.com/gorilla-lab-scut/mast	true	true	false	pytorch
https://paperswithcode.com/paper/extracting-low-high-frequency-knowledge-from	Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework	2305.10758	https://arxiv.org/abs/2305.10758v2	https://arxiv.org/pdf/2305.10758v2.pdf	https://github.com/lirongwu/ff-g2m	true	true	false	pytorch
https://paperswithcode.com/paper/cwd30-a-comprehensive-and-holistic-dataset	CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculture	2305.10084	https://arxiv.org/abs/2305.10084v1	https://arxiv.org/pdf/2305.10084v1.pdf	https://github.com/mr-talhailyas/cwd30	true	true	true	pytorch
https://paperswithcode.com/paper/mean-field-interacting-multi-type-birth-death	Mean-field interacting multi-type birth-death processes with a view to applications in phylodynamics	2307.06010	https://arxiv.org/abs/2307.06010v2	https://arxiv.org/pdf/2307.06010v2.pdf	https://github.com/wsdewitt/mfbd	true	true	false	none
https://paperswithcode.com/paper/linear-transformers-with-learnable-kernel	Linear Transformers with Learnable Kernel Functions are Better In-Context Models	2402.10644	https://arxiv.org/abs/2402.10644v2	https://arxiv.org/pdf/2402.10644v2.pdf	https://github.com/corl-team/rebased	true	true	false	pytorch
https://paperswithcode.com/paper/measuring-emergent-capabilities-of-llms-for	Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We?	2411.17927	https://arxiv.org/abs/2411.17927v1	https://arxiv.org/pdf/2411.17927v1.pdf	https://github.com/WM-SEMERU/emergent-capabilities	true	false	false	pytorch
https://paperswithcode.com/paper/measuring-inductive-biases-of-in-context	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations	2305.13299	https://arxiv.org/abs/2305.13299v1	https://arxiv.org/pdf/2305.13299v1.pdf	https://github.com/noviscl/ambigprompt	true	true	false	none
https://paperswithcode.com/paper/cat-crf-based-asr-toolkit	CAT: CRF-based ASR Toolkit	1911.08747	https://arxiv.org/abs/1911.08747v1	https://arxiv.org/pdf/1911.08747v1.pdf	https://github.com/thuspmi/cat	false	false	true	pytorch
https://paperswithcode.com/paper/nuclear-norm-regularized-loop-optimization	Nuclear norm regularized loop optimization for tensor network	2306.17479	https://arxiv.org/abs/2306.17479v4	https://arxiv.org/pdf/2306.17479v4.pdf	https://github.com/kenjihomma/nnr-tnr	true	true	false	none
https://paperswithcode.com/paper/modeling-the-q-diversity-in-a-min-max-play	Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization	2305.12123	https://arxiv.org/abs/2305.12123v1	https://arxiv.org/pdf/2305.12123v1.pdf	https://github.com/cuteythyme/q-diversity	true	true	true	pytorch
https://paperswithcode.com/paper/explaining-how-transformers-use-context-to	Explaining How Transformers Use Context to Build Predictions	2305.12535	https://arxiv.org/abs/2305.12535v1	https://arxiv.org/pdf/2305.12535v1.pdf	https://github.com/mt-upc/logit-explanations	true	true	true	pytorch
https://paperswithcode.com/paper/towards-robust-personalized-dialogue	Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization	2305.12782	https://arxiv.org/abs/2305.12782v1	https://arxiv.org/pdf/2305.12782v1.pdf	https://github.com/chanliang/orig	true	true	false	pytorch
https://paperswithcode.com/paper/can-nli-provide-proper-indirect-supervision	Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?	2212.10784	https://arxiv.org/abs/2212.10784v3	https://arxiv.org/pdf/2212.10784v3.pdf	https://github.com/luka-group/NLI_as_Indirect_Supervision	true	true	true	pytorch
https://paperswithcode.com/paper/sphere-guided-training-of-neural-implicit	Sphere-Guided Training of Neural Implicit Surfaces	2209.15511	https://arxiv.org/abs/2209.15511v2	https://arxiv.org/pdf/2209.15511v2.pdf	https://github.com/AndreeaDogaru/SphereGuided	true	false	true	pytorch
https://paperswithcode.com/paper/adversarial-audio-synthesis	Adversarial Audio Synthesis	1802.04208	http://arxiv.org/abs/1802.04208v3	http://arxiv.org/pdf/1802.04208v3.pdf	https://github.com/delijingyic/wavegan_phonology	false	false	true	pytorch
https://paperswithcode.com/paper/nerflix-high-quality-neural-view-synthesis-by	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer	2303.06919	https://arxiv.org/abs/2303.06919v2	https://arxiv.org/pdf/2303.06919v2.pdf	https://github.com/redrock303/NeRFLiX_CPVR2023	true	false	false	pytorch
https://paperswithcode.com/paper/integer-programming-games-a-gentle	Integer Programming Games: A Gentle Computational Overview	2306.02817	https://arxiv.org/abs/2306.02817v2	https://arxiv.org/pdf/2306.02817v2.pdf	https://github.com/ds4dm/zero	true	true	false	none
https://paperswithcode.com/paper/rethinking-the-visual-cues-in-audio-visual	Rethinking the visual cues in audio-visual speaker extraction	2306.02625	https://arxiv.org/abs/2306.02625v1	https://arxiv.org/pdf/2306.02625v1.pdf	https://github.com/mrjunjieli/davse	true	true	false	pytorch
https://paperswithcode.com/paper/causal-strategic-classification-a-tale-of-two	Causal Strategic Classification: A Tale of Two Shifts	2302.06280	https://arxiv.org/abs/2302.06280v3	https://arxiv.org/pdf/2302.06280v3.pdf	https://github.com/guyhorowitz/csc	true	true	false	pytorch
https://paperswithcode.com/paper/undercover-deepfakes-detecting-fake-segments	Undercover Deepfakes: Detecting Fake Segments in Videos	2305.06564	https://arxiv.org/abs/2305.06564v4	https://arxiv.org/pdf/2305.06564v4.pdf	https://github.com/sanjaysaha1311/temporal-deepfake-segmentation	true	true	true	tf
https://paperswithcode.com/paper/answering-questions-over-knowledge-graphs	Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models	2303.02206	https://arxiv.org/abs/2303.02206v2	https://arxiv.org/pdf/2303.02206v2.pdf	https://github.com/navidmdn/logic_based_qa	true	true	true	pytorch
https://paperswithcode.com/paper/instance-aware-dynamic-prompt-tuning-for-pre	Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models	2304.07221	https://arxiv.org/abs/2304.07221v2	https://arxiv.org/pdf/2304.07221v2.pdf	https://github.com/zyh16143998882/aaai24-pointfemae	false	false	true	pytorch
https://paperswithcode.com/paper/ma2cl-masked-attentive-contrastive-learning	MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning	2306.02006	https://arxiv.org/abs/2306.02006v1	https://arxiv.org/pdf/2306.02006v1.pdf	https://github.com/ustchlsong/ma2cl	true	true	false	pytorch
https://paperswithcode.com/paper/imbalanced-graph-classification-with-multi	Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks	2405.04903	https://arxiv.org/abs/2405.04903v2	https://arxiv.org/pdf/2405.04903v2.pdf	https://github.com/rongrongma/mosgnn	true	true	false	pytorch
https://paperswithcode.com/paper/biomedical-entity-linking-as-multiple-choice	Biomedical Entity Linking as Multiple Choice Question Answering	2402.15189	https://arxiv.org/abs/2402.15189v2	https://arxiv.org/pdf/2402.15189v2.pdf	https://github.com/lzxlin/bioelqa	true	true	false	none
https://paperswithcode.com/paper/spectral-temporal-graph-neural-network-for-1	Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting	2103.07719	https://arxiv.org/abs/2103.07719v1	https://arxiv.org/pdf/2103.07719v1.pdf	https://github.com/microsoft/StemGNN	false	true	false	pytorch
https://paperswithcode.com/paper/unified-attentional-generative-adversarial	Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images	1907.03548	https://arxiv.org/abs/1907.03548v1	https://arxiv.org/pdf/1907.03548v1.pdf	https://github.com/maloadba/mgenseg_2d	false	false	true	jax
https://paperswithcode.com/paper/m-genseg-domain-adaptation-for-target	M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision	2212.07276	https://arxiv.org/abs/2212.07276v2	https://arxiv.org/pdf/2212.07276v2.pdf	https://github.com/maloadba/mgenseg_2d	true	true	false	jax
https://paperswithcode.com/paper/transunet-transformers-make-strong-encoders	TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation	2102.04306	https://arxiv.org/abs/2102.04306v1	https://arxiv.org/pdf/2102.04306v1.pdf	https://github.com/maloadba/mgenseg_2d	false	false	true	jax
https://paperswithcode.com/paper/unified-schemes-for-directive-based-gpu	Unified schemes for directive-based GPU offloading	2411.18889	https://arxiv.org/abs/2411.18889v1	https://arxiv.org/pdf/2411.18889v1.pdf	https://github.com/ymiki-repo/solomon	true	true	false	none
https://paperswithcode.com/paper/citysim-a-drone-based-vehicle-trajectory	CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins	2208.11036	https://arxiv.org/abs/2208.11036v2	https://arxiv.org/pdf/2208.11036v2.pdf	https://github.com/ozheng1993/ucf-sst-citysim-dataset	true	true	true	none
https://paperswithcode.com/paper/structural-restrictions-in-local-causal	Structural restrictions in local causal discovery: identifying direct causes of a target variable	2307.16048	https://arxiv.org/abs/2307.16048v4	https://arxiv.org/pdf/2307.16048v4.pdf	https://github.com/jurobodik/structural-restrictions-in-local-causal-discovery	true	true	false	none
https://paperswithcode.com/paper/the-art-of-conversation-measuring-phonetic	The ART of Conversation: Measuring Phonetic Convergence and Deliberate Imitation in L2-Speech with a Siamese RNN	2306.05088	https://arxiv.org/abs/2306.05088v1	https://arxiv.org/pdf/2306.05088v1.pdf	https://github.com/byronthecoder/S-RNN-4-ART	true	false	false	tf
https://paperswithcode.com/paper/distributionally-invariant-learning	Enhancing Distributional Stability among Sub-populations	2206.02990	https://arxiv.org/abs/2206.02990v2	https://arxiv.org/pdf/2206.02990v2.pdf	https://github.com/ljsthu/srm	true	true	false	pytorch
https://paperswithcode.com/paper/jgat-a-joint-spatio-temporal-graph-attention	JGAT: a joint spatio-temporal graph attention model for brain decoding	2306.05286	https://arxiv.org/abs/2306.05286v1	https://arxiv.org/pdf/2306.05286v1.pdf	https://github.com/brainml-gt/jgat	true	true	false	tf
https://paperswithcode.com/paper/logprecis-unleashing-language-models-for	LogPrécis: Unleashing Language Models for Automated Malicious Log Analysis	2307.08309	https://arxiv.org/abs/2307.08309v3	https://arxiv.org/pdf/2307.08309v3.pdf	https://github.com/smartdata-polito/logprecis	true	true	false	pytorch
https://paperswithcode.com/paper/rank-aware-negative-training-for-semi	Rank-Aware Negative Training for Semi-Supervised Text Classification	2306.07621	https://arxiv.org/abs/2306.07621v1	https://arxiv.org/pdf/2306.07621v1.pdf	https://github.com/amurtadha/rnt	true	true	false	pytorch
https://paperswithcode.com/paper/questioning-the-survey-responses-of-large	Questioning the Survey Responses of Large Language Models	2306.07951	https://arxiv.org/abs/2306.07951v4	https://arxiv.org/pdf/2306.07951v4.pdf	https://github.com/socialfoundations/surveying-language-models	true	true	true	pytorch
https://paperswithcode.com/paper/king-generating-safety-critical-driving	KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients	2204.13683	https://arxiv.org/abs/2204.13683v1	https://arxiv.org/pdf/2204.13683v1.pdf	https://github.com/autonomousvision/king	true	false	true	pytorch
https://paperswithcode.com/paper/experimental-study-of-alfven-wave-reflection	Experimental study of Alfvén wave reflection from an Alfvén-speed gradient relevant to the solar coronal holes	2402.06193	https://arxiv.org/abs/2402.06193v1	https://arxiv.org/pdf/2402.06193v1.pdf	https://github.com/ammarhakim/gkyl-paper-inp	true	true	false	none
https://paperswithcode.com/paper/from-nerflix-to-nerflix-a-general-nerf	From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm	2306.06388	https://arxiv.org/abs/2306.06388v3	https://arxiv.org/pdf/2306.06388v3.pdf	https://github.com/redrock303/NeRFLiX_CPVR2023	false	false	true	pytorch
https://paperswithcode.com/paper/training-like-a-medical-resident-universal	Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation	2306.02416	https://arxiv.org/abs/2306.02416v3	https://arxiv.org/pdf/2306.02416v3.pdf	https://github.com/yhygao/universal-medical-image-segmentation	true	true	true	pytorch
https://paperswithcode.com/paper/joint-adjustment-image-steganography-networks	Joint adjustment image steganography networks	null	https://www.sciencedirect.com/science/article/abs/pii/S0923596523001042	https://www.sciencedirect.com/science/article/abs/pii/S0923596523001042	https://github.com/zhangle408/Joint-adjustment-image-steganography-networks	false	false	false	pytorch
https://paperswithcode.com/paper/towards-principled-representation-learning-1	Towards Principled Representation Learning from Videos for Reinforcement Learning	2403.13765	https://arxiv.org/abs/2403.13765v1	https://arxiv.org/pdf/2403.13765v1.pdf	https://github.com/microsoft/intrepid	true	true	false	pytorch
https://paperswithcode.com/paper/unclocklike-biological-oscillators-with	Unclocklike oscillators with frequency memory for the entrainment of biological clocks	2405.05180	https://arxiv.org/abs/2405.05180v2	https://arxiv.org/pdf/2405.05180v2.pdf	https://github.com/cmdenis/2024-frequency-memory	true	true	true	none
https://paperswithcode.com/paper/diffnet-diffusion-parameter-mapping-network	DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues	2102.02463	https://arxiv.org/abs/2102.02463v1	https://arxiv.org/pdf/2102.02463v1.pdf	https://github.com/SNU-LIST/DIFFnet	true	true	true	tf
https://paperswithcode.com/paper/learning-conditional-attributes-for-1	Learning Conditional Attributes for Compositional Zero-Shot Learning	2305.17940	https://arxiv.org/abs/2305.17940v2	https://arxiv.org/pdf/2305.17940v2.pdf	https://github.com/wqshmzh/canet-czsl	true	true	true	pytorch
https://paperswithcode.com/paper/ddfm-denoising-diffusion-model-for-multi	DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion	2303.06840	https://arxiv.org/abs/2303.06840v2	https://arxiv.org/pdf/2303.06840v2.pdf	https://github.com/zhaozixiang1228/mmif-cddfuse	false	false	true	pytorch
https://paperswithcode.com/paper/the-ricci-flatness-that-lurks-in-weight	The Ricci-flatness that lurks in weight	2403.00697	https://arxiv.org/abs/2403.00697v1	https://arxiv.org/pdf/2403.00697v1.pdf	https://github.com/diego-conti/skoll	true	true	true	none
https://paperswithcode.com/paper/learning-modulated-transformation-in-gans	Learning Modulated Transformation in GANs	null	https://openreview.net/forum?id=h8vJVABiBP	https://openreview.net/pdf?id=h8vJVABiBP	https://github.com/limbo0000/mtm	true	true	false	none
https://paperswithcode.com/paper/a-picture-of-the-space-of-typical-learnable	A picture of the space of typical learnable tasks	2210.17011	https://arxiv.org/abs/2210.17011v4	https://arxiv.org/pdf/2210.17011v4.pdf	https://github.com/grasp-lyrl/low-dimensional-deepnets	false	false	true	pytorch
https://paperswithcode.com/paper/enhancing-privacy-in-federated-learning-1	Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications	2409.00974	https://arxiv.org/abs/2409.00974v1	https://arxiv.org/pdf/2409.00974v1.pdf	https://github.com/fedbiomed/fedbiomed	true	false	false	pytorch
https://paperswithcode.com/paper/multi-task-graph-neural-networks-for	Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems	2202.01954	https://arxiv.org/abs/2202.01954v1	https://arxiv.org/pdf/2202.01954v1.pdf	https://github.com/ornl/hydragnn	true	false	false	pytorch
https://paperswithcode.com/paper/hatebert-retraining-bert-for-abusive-language	HateBERT: Retraining BERT for Abusive Language Detection in English	2010.12472	https://arxiv.org/abs/2010.12472v2	https://arxiv.org/pdf/2010.12472v2.pdf	https://github.com/tommasoc80/HateBERT	true	false	true	none
https://paperswithcode.com/paper/ghostshiftaddnet-more-features-from-energy	GhostShiftAddNet: More Features from Energy-Efficient Operations	2109.09495	https://arxiv.org/abs/2109.09495v3	https://arxiv.org/pdf/2109.09495v3.pdf	https://github.com/MindSpore-paper-code-3/code7/tree/main/ghostnet_quant	false	false	false	mindspore
https://paperswithcode.com/paper/improving-variational-autoencoder-estimation	Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families	2403.03069	https://arxiv.org/abs/2403.03069v2	https://arxiv.org/pdf/2403.03069v2.pdf	https://github.com/vsimkus/demiss-vae	true	true	false	pytorch
https://paperswithcode.com/paper/navigating-data-heterogeneity-in-federated	Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection	2310.17097	https://arxiv.org/abs/2310.17097v3	https://arxiv.org/pdf/2310.17097v3.pdf	https://github.com/Kthyeon/ssfod	true	false	false	none
https://paperswithcode.com/paper/actnn-reducing-training-memory-footprint-via	ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training	2104.14129	https://arxiv.org/abs/2104.14129v2	https://arxiv.org/pdf/2104.14129v2.pdf	https://github.com/zirui-ray-liu/exact	false	false	true	pytorch
https://paperswithcode.com/paper/improving-retrieval-augmented-large-language	Improving Retrieval-Augmented Large Language Models via Data Importance Learning	2307.03027	https://arxiv.org/abs/2307.03027v1	https://arxiv.org/pdf/2307.03027v1.pdf	https://github.com/amsterdata/ragbooster	true	true	true	none
https://paperswithcode.com/paper/robust-unmanned-surface-vehicle-navigation	Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning	2307.16240	https://arxiv.org/abs/2307.16240v1	https://arxiv.org/pdf/2307.16240v1.pdf	https://github.com/robustfieldautonomylab/distributional_rl_navigation	true	true	true	pytorch
https://paperswithcode.com/paper/dealing-with-observability-in-interaction	Dealing with observability in interaction-based Offline Runtime Verification of Distributed Systems	2212.09324	https://arxiv.org/abs/2212.09324v1	https://arxiv.org/pdf/2212.09324v1.pdf	https://github.com/erwanm974/hibou_3sat_benchmark_experiment	false	true	false	none
https://paperswithcode.com/paper/multi-label-noise-transition-matrix	Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm	2309.12706	https://arxiv.org/abs/2309.12706v1	https://arxiv.org/pdf/2309.12706v1.pdf	https://github.com/tmllab/Multi-Label-T	true	true	false	pytorch
https://paperswithcode.com/paper/tp-gmot-tracking-generic-multiple-object-by	TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT	2409.02490	https://arxiv.org/abs/2409.02490v1	https://arxiv.org/pdf/2409.02490v1.pdf	https://github.com/Fsoft-AIC/TP-GMOT	true	false	false	pytorch
https://paperswithcode.com/paper/mer-2023-multi-label-learning-modality	MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning	2304.08981	https://arxiv.org/abs/2304.08981v2	https://arxiv.org/pdf/2304.08981v2.pdf	https://github.com/zeroqiaoba/affectgpt	false	false	true	pytorch
https://paperswithcode.com/paper/video-object-segmentation-aware-video-frame	Video Object Segmentation-aware Video Frame Interpolation	null	http://openaccess.thecvf.com//content/ICCV2023/html/Yoo_Video_Object_Segmentation-aware_Video_Frame_Interpolation_ICCV_2023_paper.html	http://openaccess.thecvf.com//content/ICCV2023/papers/Yoo_Video_Object_Segmentation-aware_Video_Frame_Interpolation_ICCV_2023_paper.pdf	https://github.com/junsang7777/vos-vfi	true	true	false	pytorch
https://paperswithcode.com/paper/rssl-semi-supervised-learning-in-r	RSSL: Semi-supervised Learning in R	1612.07993	http://arxiv.org/abs/1612.07993v1	http://arxiv.org/pdf/1612.07993v1.pdf	https://github.com/cran/RSSL	false	false	true	none
https://paperswithcode.com/paper/lp-musiccaps-llm-based-pseudo-music	LP-MusicCaps: LLM-Based Pseudo Music Captioning	2307.16372	https://arxiv.org/abs/2307.16372v1	https://arxiv.org/pdf/2307.16372v1.pdf	https://github.com/seungheondoh/lp-music-caps	true	false	true	pytorch
https://paperswithcode.com/paper/av-pedaware-self-supervised-audio-visual	AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness	2411.06789	https://arxiv.org/abs/2411.06789v2	https://arxiv.org/pdf/2411.06789v2.pdf	https://github.com/yizhuoyang/AV-PedAware	true	false	false	pytorch

Subsets and Splits

Framework Repo Connectivity Analysis

Reveals the number of official and unofficial repositories and papers associated with different frameworks, highlighting the most connected ones.

Deduplicated Paper-Code Links

This query provides a detailed and organized list of repositories linked to single papers, highlighting official status and mention sources, which is useful for understanding the relationship between papers and their corresponding repositories.

Paper Repo Counts & Distribution

Provides detailed statistics on the distribution of papers across different numbers of repositories, highlighting the percentage of papers with multiple repositories.

Quantum Papers with Code Links

Lists quantum-related papers with their titles, arXiv IDs, frameworks, and code repository links, providing a valuable resource for researchers interested in quantum computing.

Financial Stock Price Prediction

Finds papers related to stock prices, financial markets, and predictions, providing a focused subset for further analysis.

SQL Console for pwc-archive/links-between-paper-and-code

Retrieves specific details about a single paper by its arXiv ID, providing limited insight into the dataset.

Search for YOLO Links

Retrieves a limited set of records related to YOLO, providing basic information about papers and repositories but without deeper analysis.

Prompt Optimization and Personalization

Retrieves a limited set of papers with titles containing specific keywords related to prompt optimization and personalization, providing basic filtering of the dataset.