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

Dataset card Data Studio Files
xet
Community
1
paper_url
stringlengths
36
81
paper_title
stringlengths
1
242
⌀
paper_arxiv_id
stringlengths
9
16
⌀
paper_url_abs
stringlengths
18
314
paper_url_pdf
stringlengths
21
935
⌀
repo_url
stringlengths
26
200
is_official
bool
2 classes
mentioned_in_paper
bool
2 classes
mentioned_in_github
bool
2 classes
framework
stringclasses
9 values
https://paperswithcode.com/paper/fair-learning-with-private-demographic-data
Fair Learning with Private Demographic Data
2002.11651
https://arxiv.org/abs/2002.11651v2
https://arxiv.org/pdf/2002.11651v2.pdf
https://github.com/husseinmozannar/fairlearn_private_data
true
true
true
none
https://paperswithcode.com/paper/a-forward-modelling-approach-to-overcome-psf
A forward-modelling approach to overcome PSF smearing and fit flexible models to the chemical structure of galaxies
2403.08175
https://arxiv.org/abs/2403.08175v1
https://arxiv.org/pdf/2403.08175v1.pdf
https://github.com/astrobenji/lenstronomy-metals-notebooks
true
true
true
none
https://paperswithcode.com/paper/randomized-quantization-for-data-agnostic
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
2212.08663
https://arxiv.org/abs/2212.08663v2
https://arxiv.org/pdf/2212.08663v2.pdf
https://github.com/pipiPdesu/random_quantize
false
false
false
mindspore
https://paperswithcode.com/paper/denis-sdn-software-defined-network-slicing
DENIS-SDN: Software-Defined Network Slicing Solution for Dense and Ultra-Dense IoT Networks
2312.13662
https://arxiv.org/abs/2312.13662v1
https://arxiv.org/pdf/2312.13662v1.pdf
https://github.com/swnrg/denis-sdn
true
true
false
none
https://paperswithcode.com/paper/phylogenetic-tree-distance-computation-over
Phylogenetic tree distance computation over succinct representations
2312.14029
https://arxiv.org/abs/2312.14029v1
https://arxiv.org/pdf/2312.14029v1.pdf
https://github.com/pedroparedesbranco/treediff
true
true
false
none
https://paperswithcode.com/paper/towards-machine-unlearning-benchmarks
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
2311.02240
https://arxiv.org/abs/2311.02240v2
https://arxiv.org/pdf/2311.02240v2.pdf
https://github.com/ndb796/machineunlearning
true
true
true
pytorch
https://paperswithcode.com/paper/generating-continuations-in-multilingual
Generating Continuations in Multilingual Idiomatic Contexts
2310.20195
https://arxiv.org/abs/2310.20195v2
https://arxiv.org/pdf/2310.20195v2.pdf
https://github.com/portnlp/llm-in-idiomatic-context
true
true
true
none
https://paperswithcode.com/paper/high-fidelity-multi-qubit-generalized
High-fidelity, multi-qubit generalized measurements with dynamic circuits
2312.14087
https://arxiv.org/abs/2312.14087v2
https://arxiv.org/pdf/2312.14087v2.pdf
https://github.com/petr-ivashkov/dynamic-circuit-povms
true
true
false
none
https://paperswithcode.com/paper/a-contrastive-approach-to-online-change-point
A Contrastive Approach to Online Change Point Detection
2206.10143
https://arxiv.org/abs/2206.10143v3
https://arxiv.org/pdf/2206.10143v3.pdf
https://github.com/npuchkin/contrastive_change_point_detection_extended
true
true
false
none
https://paperswithcode.com/paper/multi-label-classification-with-high-rank-and
Multi-label Classification with High-rank and High-order Label Correlations
2207.04197
https://arxiv.org/abs/2207.04197v2
https://arxiv.org/pdf/2207.04197v2.pdf
https://github.com/chongjie-si/homi
true
true
false
none
https://paperswithcode.com/paper/investigating-and-scaling-up-code-switching
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
2504.01801
https://arxiv.org/abs/2504.01801v1
https://arxiv.org/pdf/2504.01801v1.pdf
https://github.com/zjwang21/syncs
true
true
true
pytorch
https://paperswithcode.com/paper/massively-parallel-multiview-stereopsis-by
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
null
http://openaccess.thecvf.com/content_iccv_2015/html/Galliani_Massively_Parallel_Multiview_ICCV_2015_paper.html
http://openaccess.thecvf.com/content_iccv_2015/papers/Galliani_Massively_Parallel_Multiview_ICCV_2015_paper.pdf
https://github.com/kysucix/gipuma
true
false
false
none
https://paperswithcode.com/paper/espaloma-0-3-0-machine-learned-molecular
Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond
2307.07085
https://arxiv.org/abs/2307.07085v4
https://arxiv.org/pdf/2307.07085v4.pdf
https://github.com/openmm/openmmforcefields
false
false
true
none
https://paperswithcode.com/paper/column-randomized-linear-programs-performance
Column-Randomized Linear Programs: Performance Guarantees and Applications
2007.10461
https://arxiv.org/abs/2007.10461v5
https://arxiv.org/pdf/2007.10461v5.pdf
https://github.com/yi-chun-akchen/column-randomized_lp
true
true
false
none
https://paperswithcode.com/paper/motioneditor-editing-video-motion-via-content
MotionEditor: Editing Video Motion via Content-Aware Diffusion
2311.18830
https://arxiv.org/abs/2311.18830v1
https://arxiv.org/pdf/2311.18830v1.pdf
https://github.com/Francis-Rings/MotionEditor
true
false
true
pytorch
https://paperswithcode.com/paper/efficient-and-robust-jet-tagging-at-the-lhc
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation
2311.14160
https://arxiv.org/abs/2311.14160v1
https://arxiv.org/pdf/2311.14160v1.pdf
https://github.com/ryanliu30/kd4jets
true
true
true
pytorch
https://paperswithcode.com/paper/a-multi-modal-contrastive-diffusion-model-for
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
2312.15665
https://arxiv.org/abs/2312.15665v2
https://arxiv.org/pdf/2312.15665v2.pdf
https://github.com/wyky481l/mmcd
true
true
false
pytorch
https://paperswithcode.com/paper/next-token-prediction-towards-multimodal
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
2412.18619
https://arxiv.org/abs/2412.18619v2
https://arxiv.org/pdf/2412.18619v2.pdf
https://github.com/lmm101/awesome-multimodal-next-token-prediction
true
true
true
pytorch
https://paperswithcode.com/paper/intuitionism-with-truth-tables-a-decision
Intuitionism with Truth Tables: A Decision Procedure for IPL Based on RNmatrices
2308.13664
https://arxiv.org/abs/2308.13664v2
https://arxiv.org/pdf/2308.13664v2.pdf
https://github.com/renatoleme/forest
true
true
false
none
https://paperswithcode.com/paper/mcpns-a-macropixel-collocated-position-and
MCPNS: A Macropixel Collocated Position and Its Neighbors Search for Plenoptic 2.0 Video Coding
2310.08006
https://arxiv.org/abs/2310.08006v3
https://arxiv.org/pdf/2310.08006v3.pdf
https://github.com/duongvinh/mcpns
true
true
true
none
https://paperswithcode.com/paper/mastering-diverse-domains-through-world
Mastering Diverse Domains through World Models
2301.04104
https://arxiv.org/abs/2301.04104v2
https://arxiv.org/pdf/2301.04104v2.pdf
https://github.com/Alescontrela/viper_rl
false
false
true
jax
https://paperswithcode.com/paper/prediction-powered-generalization-of-causal
Prediction-powered Generalization of Causal Inferences
2406.02873
https://arxiv.org/abs/2406.02873v1
https://arxiv.org/pdf/2406.02873v1.pdf
https://github.com/demireal/ppci
true
true
false
none
https://paperswithcode.com/paper/the-poset-of-normalized-ideals-of-numerical
The poset of normalized ideals of numerical semigroups with multiplicity three
2407.21697
https://arxiv.org/abs/2407.21697v1
https://arxiv.org/pdf/2407.21697v1.pdf
https://github.com/numerical-semigroups/ideal-class-monoid
true
true
true
none
https://paperswithcode.com/paper/factorized-linear-discriminant-analysis-for-1
Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes
2010.02171
https://arxiv.org/abs/2010.02171v7
https://arxiv.org/pdf/2010.02171v7.pdf
https://github.com/muqiao0626/flda-in-computbiol
true
true
true
none
https://paperswithcode.com/paper/sequence-only-prediction-of-binding-affinity
Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
2505.20301
https://arxiv.org/abs/2505.20301v1
https://arxiv.org/pdf/2505.20301v1.pdf
https://github.com/code4luck/protattba
true
true
false
pytorch
https://paperswithcode.com/paper/construct-3d-hand-skeleton-with-commercial
Construct 3D Hand Skeleton with Commercial WiFi
2312.15507
https://arxiv.org/abs/2312.15507v1
https://arxiv.org/pdf/2312.15507v1.pdf
https://github.com/sijieji/handfi
true
true
false
none
https://paperswithcode.com/paper/advancements-in-arabic-grammatical-error
Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation
2305.14734
https://arxiv.org/abs/2305.14734v2
https://arxiv.org/pdf/2305.14734v2.pdf
https://github.com/camel-lab/arabic-gec
true
true
true
jax
https://paperswithcode.com/paper/benchmarking-optimization-software-with
Benchmarking Optimization Software with Performance Profiles
cs/0102001
https://arxiv.org/abs/cs/0102001v2
https://arxiv.org/pdf/cs/0102001v2.pdf
https://github.com/corradocoppola97/CMA_v2
false
false
true
pytorch
https://paperswithcode.com/paper/learned-compression-of-encoding-distributions
Learned Compression of Encoding Distributions
2406.13059
https://arxiv.org/abs/2406.13059v1
https://arxiv.org/pdf/2406.13059v1.pdf
https://github.com/multimedialabsfu/learned-compression-of-encoding-distributions
true
false
true
pytorch
https://paperswithcode.com/paper/nonlinear-mpc-for-quadrotors-in-close
Nonlinear MPC for Quadrotors in Close-Proximity Flight with Neural Network Downwash Prediction
2304.07794
https://arxiv.org/abs/2304.07794v2
https://arxiv.org/pdf/2304.07794v2.pdf
https://github.com/li-jinjie/ndp_nmpc_qd
true
true
true
pytorch
https://paperswithcode.com/paper/signguard-byzantine-robust-federated-learning
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
2109.05872
https://arxiv.org/abs/2109.05872v2
https://arxiv.org/pdf/2109.05872v2.pdf
https://github.com/bladesteam/blades
false
false
true
pytorch
https://paperswithcode.com/paper/andi-the-anomalous-diffusion-challenge
AnDi: The Anomalous Diffusion Challenge
2003.12036
http://arxiv.org/abs/2003.12036v1
http://arxiv.org/pdf/2003.12036v1.pdf
https://github.com/huangzih/AnDi-Challenge
false
false
true
pytorch
https://paperswithcode.com/paper/combinatorial-multi-armed-bandit-based
Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing
null
https://ieeexplore.ieee.org/document/9155518
https://cis.temple.edu/~wu/research/publications/Publication_files/gao_infocom_2020.pdf
https://github.com/DURUII/Replica-EUWR
false
false
false
none
https://paperswithcode.com/paper/transformer-in-transformer-as-backbone-for
Transformer in Transformer as Backbone for Deep Reinforcement Learning
2212.14538
https://arxiv.org/abs/2212.14538v2
https://arxiv.org/pdf/2212.14538v2.pdf
https://github.com/maohangyu/TIT_open_source
true
false
true
pytorch
https://paperswithcode.com/paper/naturalcodebench-examining-coding-performance
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts
2405.04520
https://arxiv.org/abs/2405.04520v1
https://arxiv.org/pdf/2405.04520v1.pdf
https://github.com/thudm/naturalcodebench
false
false
true
none
https://paperswithcode.com/paper/improving-gbdt-performance-on-imbalanced
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
2407.14381
https://arxiv.org/abs/2407.14381v1
https://arxiv.org/pdf/2407.14381v1.pdf
https://github.com/Luojiaqimath/ClassbalancedLoss4GBDT
true
false
false
none
https://paperswithcode.com/paper/reliable-object-tracking-by-multimodal-hybrid
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion
2405.17903
https://arxiv.org/abs/2405.17903v1
https://arxiv.org/pdf/2405.17903v1.pdf
https://github.com/GuoLab-UESTC/MMHT
true
false
true
pytorch
https://paperswithcode.com/paper/uncovering-emergent-spacetime-supersymmetry
Uncovering Emergent Spacetime Supersymmetry with Rydberg Atom Arrays
2407.08194
https://arxiv.org/abs/2407.08194v3
https://arxiv.org/pdf/2407.08194v3.pdf
https://github.com/chengshul/RydbergSUSY
true
false
false
none
https://paperswithcode.com/paper/strategic-evaluation-in-optimizing-the
Strategic Evaluation in Optimizing the Internal Supply Chain Using TOPSIS: Evidence In A Coil Winding Machine Manufacturer
2007.10121
https://arxiv.org/abs/2007.10121v1
https://arxiv.org/pdf/2007.10121v1.pdf
https://github.com/hcshipra/researchpublication
true
false
false
none
https://paperswithcode.com/paper/provably-fast-convergence-of-independent
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
null
https://openreview.net/forum?id=mA7nTGXjD3
https://openreview.net/pdf?id=mA7nTGXjD3
https://github.com/sundave1998/independent-npg-mpg
true
true
false
pytorch
https://paperswithcode.com/paper/adversarial-counterfactual-environment-model
Adversarial Counterfactual Environment Model Learning
null
https://openreview.net/forum?id=rHAX0LRwk8
https://openreview.net/pdf?id=rHAX0LRwk8
https://github.com/xionghuichen/galileo
true
true
false
tf
https://paperswithcode.com/paper/memory-encoding-model
Memory Encoding Model
2308.01175
https://arxiv.org/abs/2308.01175v1
https://arxiv.org/pdf/2308.01175v1.pdf
https://github.com/huzeyann/MemoryEncodingModel
true
false
true
pytorch
https://paperswithcode.com/paper/can-mass-change-the-diffusion-coefficient-of
Mass changes the diffusion coefficient of particles with ligand-receptor contacts in the overdamped limit
2112.05266
https://arxiv.org/abs/2112.05266v2
https://arxiv.org/pdf/2112.05266v2.pdf
https://github.com/smarbach/dnacoatedcolloidsinteractions
true
true
false
none
https://paperswithcode.com/paper/a-machine-learning-approach-for-computing
A machine learning approach for computing solar flare locations in X-rays on-board Solar Orbiter/STIX
2408.16642
https://arxiv.org/abs/2408.16642v1
https://arxiv.org/pdf/2408.16642v1.pdf
https://github.com/paolomassa/STX_CFL_NN
true
false
false
tf
https://paperswithcode.com/paper/autoregressive-omni-aware-outpainting-for
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation
2309.03467
https://arxiv.org/abs/2309.03467v2
https://arxiv.org/pdf/2309.03467v2.pdf
https://github.com/zhuqiangLu/AOG-NET-360
true
true
false
pytorch
https://paperswithcode.com/paper/riemannian-preconditioned-algorithms-for
Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition
2302.14456
https://arxiv.org/abs/2302.14456v2
https://arxiv.org/pdf/2302.14456v2.pdf
https://github.com/jimmypeng1998/lrtctr
false
false
true
none
https://paperswithcode.com/paper/chatillusion-efficient-aligning-interleaved
M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation
2311.17963
https://arxiv.org/abs/2311.17963v2
https://arxiv.org/pdf/2311.17963v2.pdf
https://github.com/litwellchi/chatillusion
true
true
true
pytorch
https://paperswithcode.com/paper/a-graph-theoretic-framework-for-understanding-1
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
2311.03524
https://arxiv.org/abs/2311.03524v1
https://arxiv.org/pdf/2311.03524v1.pdf
https://github.com/deeplearning-wisc/sorl
true
true
false
pytorch
https://paperswithcode.com/paper/learning-anatomically-consistent-embedding
Learning Anatomically Consistent Embedding for Chest Radiography
2312.00335
https://arxiv.org/abs/2312.00335v2
https://arxiv.org/pdf/2312.00335v2.pdf
https://github.com/jlianglab/peac
true
true
true
pytorch
https://paperswithcode.com/paper/introducing-rhetorical-parallelism-detection
Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines
2312.00100
https://arxiv.org/abs/2312.00100v1
https://arxiv.org/pdf/2312.00100v1.pdf
https://github.com/mythologos/augustinian-sermon-parallelisms
true
true
false
none
https://paperswithcode.com/paper/introducing-rhetorical-parallelism-detection
Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines
2312.00100
https://arxiv.org/abs/2312.00100v1
https://arxiv.org/pdf/2312.00100v1.pdf
https://github.com/mythologos/paibi-student-essays
true
true
false
none
https://paperswithcode.com/paper/introducing-rhetorical-parallelism-detection
Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines
2312.00100
https://arxiv.org/abs/2312.00100v1
https://arxiv.org/pdf/2312.00100v1.pdf
https://github.com/mythologos/intro-rpd
true
true
false
pytorch
https://paperswithcode.com/paper/on-filter-generalization-for-music-bandwidth
On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks
2011.07274
https://arxiv.org/abs/2011.07274v2
https://arxiv.org/pdf/2011.07274v2.pdf
https://github.com/serkansulun/deep-music-enhancer
true
true
true
pytorch
https://paperswithcode.com/paper/logic-of-thought-empowering-large-language
Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language
2505.16114
https://arxiv.org/abs/2505.16114v1
https://arxiv.org/pdf/2505.16114v1.pdf
https://github.com/naiqili/logic-of-thought
true
true
false
none
https://paperswithcode.com/paper/predict-the-next-word-humans-exhibit
Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
2402.17527
https://arxiv.org/abs/2402.17527v2
https://arxiv.org/pdf/2402.17527v2.pdf
https://github.com/evgeniael/predict_next_word
true
true
true
pytorch
https://paperswithcode.com/paper/constructive-proofs-of-existence-and
Constructive proofs of existence and stability of solitary waves in the Whitham and capillary-gravity Whitham equations
2403.18718
https://arxiv.org/abs/2403.18718v3
https://arxiv.org/pdf/2403.18718v3.pdf
https://github.com/matthieucadiot/whithamsoliton.jl
true
true
true
none
https://paperswithcode.com/paper/c-nerf-representing-scene-changes-as
C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRF
2312.02751
https://arxiv.org/abs/2312.02751v2
https://arxiv.org/pdf/2312.02751v2.pdf
https://github.com/c-nerf/c-nerf
true
true
false
pytorch
https://paperswithcode.com/paper/adnet-lane-shape-prediction-via-anchor
ADNet: Lane Shape Prediction via Anchor Decomposition
2308.10481
https://arxiv.org/abs/2308.10481v1
https://arxiv.org/pdf/2308.10481v1.pdf
https://github.com/code-implementation1/Code2/tree/main/ADNet
false
false
false
mindspore
https://paperswithcode.com/paper/can-we-learn-communication-efficient
Can We Learn Communication-Efficient Optimizers?
2312.02204
https://arxiv.org/abs/2312.02204v1
https://arxiv.org/pdf/2312.02204v1.pdf
https://github.com/lefameuxbeding/learned_aggregation
true
true
true
none
https://paperswithcode.com/paper/seva-leveraging-sketches-to-evaluate-1
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
2312.03035
https://arxiv.org/abs/2312.03035v1
https://arxiv.org/pdf/2312.03035v1.pdf
https://github.com/cogtoolslab/visual_abstractions_benchmarking_public2023
true
true
false
none
https://paperswithcode.com/paper/improving-bias-mitigation-through-bias
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
2312.03577
https://arxiv.org/abs/2312.03577v1
https://arxiv.org/pdf/2312.03577v1.pdf
https://github.com/jej127/bias-experts
true
true
true
pytorch
https://paperswithcode.com/paper/flashattention-fast-and-memory-efficient
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
2205.14135
https://arxiv.org/abs/2205.14135v2
https://arxiv.org/pdf/2205.14135v2.pdf
https://github.com/alibaba/megatron-llama
false
false
true
pytorch
https://paperswithcode.com/paper/how-good-is-open-bicycle-infrastructure-data
How Good Is Open Bicycle Infrastructure Data? A Countrywide Case Study of Denmark
2312.02632
https://arxiv.org/abs/2312.02632v1
https://arxiv.org/pdf/2312.02632v1.pdf
https://github.com/anerv/bikedna_big
true
true
false
none
https://paperswithcode.com/paper/continual-driving-policy-optimization-with
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
2309.14209
https://arxiv.org/abs/2309.14209v4
https://arxiv.org/pdf/2309.14209v4.pdf
https://github.com/YizhouXu-THU/CLIC
true
true
true
pytorch
https://paperswithcode.com/paper/combining-counting-processes-and
Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review
2312.03171
https://arxiv.org/abs/2312.03171v1
https://arxiv.org/pdf/2312.03171v1.pdf
https://github.com/reembinhezam/tar_stopping_cp_clf
true
true
false
none
https://paperswithcode.com/paper/masked-autoencoders-are-scalable-vision
Masked Autoencoders Are Scalable Vision Learners
2111.06377
https://arxiv.org/abs/2111.06377v2
https://arxiv.org/pdf/2111.06377v2.pdf
https://github.com/facebookresearch/multimodal
false
false
true
pytorch
https://paperswithcode.com/paper/flava-a-foundational-language-and-vision
FLAVA: A Foundational Language And Vision Alignment Model
2112.04482
https://arxiv.org/abs/2112.04482v3
https://arxiv.org/pdf/2112.04482v3.pdf
https://github.com/facebookresearch/multimodal
false
false
true
pytorch
https://paperswithcode.com/paper/hierarchical-text-conditional-image
Hierarchical Text-Conditional Image Generation with CLIP Latents
2204.06125
https://arxiv.org/abs/2204.06125v1
https://arxiv.org/pdf/2204.06125v1.pdf
https://github.com/facebookresearch/multimodal
false
false
true
pytorch
https://paperswithcode.com/paper/coca-contrastive-captioners-are-image-text
CoCa: Contrastive Captioners are Image-Text Foundation Models
2205.01917
https://arxiv.org/abs/2205.01917v2
https://arxiv.org/pdf/2205.01917v2.pdf
https://github.com/facebookresearch/multimodal
false
false
true
pytorch
https://paperswithcode.com/paper/blip-2-bootstrapping-language-image-pre
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
2301.12597
https://arxiv.org/abs/2301.12597v3
https://arxiv.org/pdf/2301.12597v3.pdf
https://github.com/facebookresearch/multimodal
false
false
true
pytorch
https://paperswithcode.com/paper/align-before-fuse-vision-and-language
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
2107.07651
https://arxiv.org/abs/2107.07651v2
https://arxiv.org/pdf/2107.07651v2.pdf
https://github.com/facebookresearch/multimodal
false
false
true
pytorch
https://paperswithcode.com/paper/diffusion-models-beat-gans-on-image
Diffusion Models Beat GANs on Image Classification
2307.08702
https://arxiv.org/abs/2307.08702v1
https://arxiv.org/pdf/2307.08702v1.pdf
https://github.com/soumik-kanad/diffssl
false
false
true
pytorch
https://paperswithcode.com/paper/tracking-with-human-intent-reasoning
Tracking with Human-Intent Reasoning
2312.17448
https://arxiv.org/abs/2312.17448v1
https://arxiv.org/pdf/2312.17448v1.pdf
https://github.com/jiawen-zhu/trackgpt
true
true
true
pytorch
https://paperswithcode.com/paper/a-transformer-based-neural-architecture
A Transformer-based Neural Architecture Search Method
2505.01314
https://arxiv.org/abs/2505.01314v1
https://arxiv.org/pdf/2505.01314v1.pdf
https://github.com/ra225/mo-trans
true
true
false
pytorch
https://paperswithcode.com/paper/tissue-cross-section-and-pen-marking
Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images
2401.13511
https://arxiv.org/abs/2401.13511v1
https://arxiv.org/pdf/2401.13511v1.pdf
https://github.com/rtlucassen/slidesegmenter
true
true
true
pytorch
https://paperswithcode.com/paper/learning-to-detect-multi-class-anomalies-with
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
2505.09264
https://arxiv.org/abs/2505.09264v1
https://arxiv.org/pdf/2505.09264v1.pdf
https://github.com/gaobb/onenip
true
true
false
pytorch
https://paperswithcode.com/paper/modeling-sequential-sentence-relation-to
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
2302.01626
https://arxiv.org/abs/2302.01626v1
https://arxiv.org/pdf/2302.01626v1.pdf
https://github.com/shunyuzh/MSM
true
false
true
pytorch
https://paperswithcode.com/paper/understanding-the-effect-of-model-compression
Understanding the Effect of Model Compression on Social Bias in Large Language Models
2312.05662
https://arxiv.org/abs/2312.05662v2
https://arxiv.org/pdf/2312.05662v2.pdf
https://github.com/gsgoncalves/emnlp2023_llm_compression_and_social_bias
true
true
false
pytorch
https://paperswithcode.com/paper/sharpness-aware-quantization-for-deep-neural
Sharpness-aware Quantization for Deep Neural Networks
2111.12273
https://arxiv.org/abs/2111.12273v5
https://arxiv.org/pdf/2111.12273v5.pdf
https://github.com/yangyucheng000/Paper-3/tree/main/SharpDRO-ms
false
false
false
mindspore
https://paperswithcode.com/paper/udifftext-a-unified-framework-for-high
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
2312.04884
https://arxiv.org/abs/2312.04884v1
https://arxiv.org/pdf/2312.04884v1.pdf
https://github.com/zym-pku/udifftext
true
true
true
pytorch
https://paperswithcode.com/paper/language-models-are-few-shot-learners
Language Models are Few-Shot Learners
2005.14165
https://arxiv.org/abs/2005.14165v4
https://arxiv.org/pdf/2005.14165v4.pdf
https://github.com/asahi417/lmppl
false
false
true
none
https://paperswithcode.com/paper/exploring-the-limits-of-transfer-learning
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
1910.10683
https://arxiv.org/abs/1910.10683v4
https://arxiv.org/pdf/1910.10683v4.pdf
https://github.com/asahi417/lmppl
false
false
true
none
https://paperswithcode.com/paper/the-merit-of-river-network-topology-for
The Merit of River Network Topology for Neural Flood Forecasting
2405.19836
https://arxiv.org/abs/2405.19836v1
https://arxiv.org/pdf/2405.19836v1.pdf
https://github.com/nkirschi/neural-flood-forecasting
true
true
false
pytorch
https://paperswithcode.com/paper/solving-token-gradient-conflict-in-mixture-of
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
2406.19905
https://arxiv.org/abs/2406.19905v2
https://arxiv.org/pdf/2406.19905v2.pdf
https://github.com/longrongyang/stgc
true
true
true
none
https://paperswithcode.com/paper/radar-perception-in-autonomous-driving-1
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
2312.04861
https://arxiv.org/abs/2312.04861v3
https://arxiv.org/pdf/2312.04861v3.pdf
https://github.com/Radar-Camera-Fusion/Awesome-Radar-Perception
true
false
true
none
https://paperswithcode.com/paper/can-large-language-model-comprehend-ancient
Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE
2310.09550
https://arxiv.org/abs/2310.09550v1
https://arxiv.org/pdf/2310.09550v1.pdf
https://github.com/isen-zhang/aclue
true
true
true
pytorch
https://paperswithcode.com/paper/cross-domain-few-shot-learning-via-adaptive
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
2401.13987
https://arxiv.org/abs/2401.13987v1
https://arxiv.org/pdf/2401.13987v1.pdf
https://github.com/naeem-paeedeh/adapter
true
true
false
pytorch
https://paperswithcode.com/paper/multi-view-neural-3d-reconstruction-of-micro
Multi-View Neural 3D Reconstruction of Micro-/Nanostructures with Atomic Force Microscopy
2401.11541
https://arxiv.org/abs/2401.11541v1
https://arxiv.org/pdf/2401.11541v1.pdf
https://github.com/zju3dv/mvn-afm
true
true
true
pytorch
https://paperswithcode.com/paper/rlcoder-reinforcement-learning-for-repository
RLCoder: Reinforcement Learning for Repository-Level Code Completion
2407.19487
https://arxiv.org/abs/2407.19487v1
https://arxiv.org/pdf/2407.19487v1.pdf
https://github.com/DeepSoftwareAnalytics/RLCoder
true
true
true
pytorch
https://paperswithcode.com/paper/morphable-diffusion-3d-consistent-diffusion
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation
2401.04728
https://arxiv.org/abs/2401.04728v2
https://arxiv.org/pdf/2401.04728v2.pdf
https://github.com/xiyichen/morphablediffusion
true
false
true
pytorch
https://paperswithcode.com/paper/eagles-efficient-accelerated-3d-gaussians
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
2312.04564
https://arxiv.org/abs/2312.04564v3
https://arxiv.org/pdf/2312.04564v3.pdf
https://github.com/sharath-girish/efficientgaussian
true
true
true
pytorch
https://paperswithcode.com/paper/deblurgan-blind-motion-deblurring-using
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
1711.07064
http://arxiv.org/abs/1711.07064v4
http://arxiv.org/pdf/1711.07064v4.pdf
https://github.com/pablodz/deblurgan
false
false
true
pytorch
https://paperswithcode.com/paper/alpacare-instruction-tuned-large-language
AlpaCare:Instruction-tuned Large Language Models for Medical Application
2310.14558
https://arxiv.org/abs/2310.14558v6
https://arxiv.org/pdf/2310.14558v6.pdf
https://github.com/xzhang97666/alpacare
true
true
true
none
https://paperswithcode.com/paper/eyetrans-merging-human-and-machine-attention
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
2402.14096
https://arxiv.org/abs/2402.14096v3
https://arxiv.org/pdf/2402.14096v3.pdf
https://zenodo.org/record/10684985
true
false
false
none
https://paperswithcode.com/paper/cross-domain-random-pre-training-with
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
2302.05614
https://arxiv.org/abs/2302.05614v3
https://arxiv.org/pdf/2302.05614v3.pdf
https://github.com/liuxin0824/crptpro
true
true
false
none
https://paperswithcode.com/paper/towards-a-sat-encoding-for-quantum-circuits-a
Towards a SAT Encoding for Quantum Circuits: A Journey From Classical Circuits to Clifford Circuits and Beyond
2203.00698
https://arxiv.org/abs/2203.00698v1
https://arxiv.org/pdf/2203.00698v1.pdf
https://github.com/lucasberent/qsatencoder
true
true
true
none
https://paperswithcode.com/paper/quokka-an-open-source-large-language-model
Quokka: An Open-source Large Language Model ChatBot for Material Science
2401.01089
https://arxiv.org/abs/2401.01089v1
https://arxiv.org/pdf/2401.01089v1.pdf
https://github.com/xianjun-yang/quokka
true
true
true
none
https://paperswithcode.com/paper/more-is-more-addition-bias-in-large-language
More is More: Addition Bias in Large Language Models
2409.02569
https://arxiv.org/abs/2409.02569v1
https://arxiv.org/pdf/2409.02569v1.pdf
https://github.com/LucaSantagata/More-is-More-Addition-Bias-in-Large-Language-Models
true
false
true
none
https://paperswithcode.com/paper/ecc-polypdet-enhanced-centernet-with
ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection
2401.04961
https://arxiv.org/abs/2401.04961v1
https://arxiv.org/pdf/2401.04961v1.pdf
https://github.com/yuncheng97/ecc-polypdet
true
true
false
pytorch
https://paperswithcode.com/paper/haltingvt-adaptive-token-halting-transformer
HaltingVT: Adaptive Token Halting Transformer for Efficient Video Recognition
2401.04975
https://arxiv.org/abs/2401.04975v1
https://arxiv.org/pdf/2401.04975v1.pdf
https://github.com/dun-research/haltingvt
true
true
false
pytorch