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

Dataset card Data Studio Files
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https://paperswithcode.com/paper/vmamba-visual-state-space-model
VMamba: Visual State Space Model
2401.10166
https://arxiv.org/abs/2401.10166v4
https://arxiv.org/pdf/2401.10166v4.pdf
https://github.com/mzeromiko/vmamba
true
true
true
pytorch
https://paperswithcode.com/paper/personality-alignment-of-large-language
Personality Alignment of Large Language Models
2408.11779
https://arxiv.org/abs/2408.11779v1
https://arxiv.org/pdf/2408.11779v1.pdf
https://github.com/zhu-minjun/palign
true
true
true
pytorch
https://paperswithcode.com/paper/general-complex-polynomial-root-solver-and
General Complex Polynomial Root Solver and Its Further Optimization for Binary Microlenses
1203.1034
http://arxiv.org/abs/1203.1034v1
http://arxiv.org/pdf/1203.1034v1.pdf
https://github.com/valboz/VBBinaryLensing
false
false
true
none
https://paperswithcode.com/paper/medmae-a-self-supervised-backbone-for-medical
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
2407.14784
https://arxiv.org/abs/2407.14784v1
https://arxiv.org/pdf/2407.14784v1.pdf
https://github.com/islamosmanubc/MedMAE
true
false
true
pytorch
https://paperswithcode.com/paper/fedgs-federated-gradient-scaling-for
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
2408.11701
https://arxiv.org/abs/2408.11701v1
https://arxiv.org/pdf/2408.11701v1.pdf
https://github.com/trustworthy-ai-uu-nki/federated-learning-disentanglement
true
true
false
pytorch
https://paperswithcode.com/paper/gaussian-deja-vu-creating-controllable-3d
Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities
2409.16147
https://arxiv.org/abs/2409.16147v3
https://arxiv.org/pdf/2409.16147v3.pdf
https://github.com/peizhiyan/flame-head-tracker
true
true
false
pytorch
https://paperswithcode.com/paper/integrating-ytopt-and-libensemble-to-autotune
Integrating ytopt and libEnsemble to Autotune OpenMC
2402.09222
https://arxiv.org/abs/2402.09222v2
https://arxiv.org/pdf/2402.09222v2.pdf
https://github.com/ytopt-team/ytopt-libensemble
true
true
false
pytorch
https://paperswithcode.com/paper/avm-slam-semantic-visual-slam-with-multi
AVM-SLAM: Semantic Visual SLAM with Multi-Sensor Fusion in a Bird's Eye View for Automated Valet Parking
2309.08180
https://arxiv.org/abs/2309.08180v2
https://arxiv.org/pdf/2309.08180v2.pdf
https://github.com/yale-cv/avm-slam_dataset
true
true
true
none
https://paperswithcode.com/paper/tackling-hybrid-heterogeneity-on-federated
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
2310.02702
https://arxiv.org/abs/2310.02702v4
https://arxiv.org/pdf/2310.02702v4.pdf
https://github.com/dunzeng/fedaware
true
true
true
pytorch
https://paperswithcode.com/paper/seed-data-edit-technical-report-a-hybrid
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing
2405.04007
https://arxiv.org/abs/2405.04007v1
https://arxiv.org/pdf/2405.04007v1.pdf
https://github.com/ailab-cvc/seed-x
true
true
true
pytorch
https://paperswithcode.com/paper/cure4rec-a-benchmark-for-recommendation
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
2408.14393
https://arxiv.org/abs/2408.14393v2
https://arxiv.org/pdf/2408.14393v2.pdf
https://github.com/xiye7lai/cure4rec
true
true
false
pytorch
https://paperswithcode.com/paper/attencraft-attention-guided-disentanglement
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization
2405.17965
https://arxiv.org/abs/2405.17965v1
https://arxiv.org/pdf/2405.17965v1.pdf
https://github.com/junjie-shentu/attencraft
true
true
true
pytorch
https://paperswithcode.com/paper/large-language-models-for-depression
Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge
2505.22863
https://arxiv.org/abs/2505.22863v1
https://arxiv.org/pdf/2505.22863v1.pdf
https://github.com/myxp-lyp/depression-detection
true
true
false
pytorch
https://paperswithcode.com/paper/rankability-enhanced-revenue-uplift-modeling
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
2405.15301
https://arxiv.org/abs/2405.15301v2
https://arxiv.org/pdf/2405.15301v2.pdf
https://github.com/BokwaiHo/revenue_uplift
true
true
false
pytorch
https://paperswithcode.com/paper/bayesian-detector-combination-for-object
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
2407.07958
https://arxiv.org/abs/2407.07958v1
https://arxiv.org/pdf/2407.07958v1.pdf
https://github.com/zhiqin1998/bdc
true
true
true
pytorch
https://paperswithcode.com/paper/novel-clustered-federated-learning-based-on
Novel clustered federated learning based on local loss
2407.09360
https://arxiv.org/abs/2407.09360v1
https://arxiv.org/pdf/2407.09360v1.pdf
https://github.com/wenh06/LCFL
true
false
false
pytorch
https://paperswithcode.com/paper/llm-maybe-longlm-self-extend-llm-context
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
2401.01325
https://arxiv.org/abs/2401.01325v3
https://arxiv.org/pdf/2401.01325v3.pdf
https://github.com/datamllab/LongLM
true
true
true
pytorch
https://paperswithcode.com/paper/deep-spectral-clustering-via-joint-spectral
Deep Spectral Clustering via Joint Spectral Embedding and Kmeans
2412.11080
https://arxiv.org/abs/2412.11080v1
https://arxiv.org/pdf/2412.11080v1.pdf
https://github.com/spdj2271/dsc
true
true
false
tf
https://paperswithcode.com/paper/quasioptimal-alternating-projections-and
Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors
2308.16097
https://arxiv.org/abs/2308.16097v3
https://arxiv.org/pdf/2308.16097v3.pdf
https://github.com/sbudzinskiy/low-rank-big-data
false
false
true
none
https://paperswithcode.com/paper/on-discovery-of-local-independence-over
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
2405.07220
https://arxiv.org/abs/2405.07220v1
https://arxiv.org/pdf/2405.07220v1.pdf
https://github.com/iwhwang/ncd
true
true
false
pytorch
https://paperswithcode.com/paper/protboost-protein-function-prediction-with-py
ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solution
2412.04529
https://arxiv.org/abs/2412.04529v1
https://arxiv.org/pdf/2412.04529v1.pdf
https://github.com/btbpanda/cafa5-protein-function-prediction-2nd-place
true
true
false
pytorch
https://paperswithcode.com/paper/isfl-trustworthy-federated-learning-for-non-i
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
2210.02119
https://arxiv.org/abs/2210.02119v3
https://arxiv.org/pdf/2210.02119v3.pdf
https://github.com/zhuzzq/isfl
true
true
true
pytorch
https://paperswithcode.com/paper/tunes-a-temporal-u-net-with-self-attention
TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition
2307.09997
https://arxiv.org/abs/2307.09997v6
https://arxiv.org/pdf/2307.09997v6.pdf
https://gitlab.com/nct_tso_public/tunes
true
true
true
pytorch
https://paperswithcode.com/paper/straightpcf-straight-point-cloud-filtering
StraightPCF: Straight Point Cloud Filtering
2405.08322
https://arxiv.org/abs/2405.08322v1
https://arxiv.org/pdf/2405.08322v1.pdf
https://github.com/ddsediri/straightpcf
true
true
false
pytorch
https://paperswithcode.com/paper/conformal-prediction-for-causal-effects-of
Conformal Prediction for Causal Effects of Continuous Treatments
2407.03094
https://arxiv.org/abs/2407.03094v3
https://arxiv.org/pdf/2407.03094v3.pdf
https://github.com/m-schroder/continuouscausalcp
true
true
true
pytorch
https://paperswithcode.com/paper/revisiting-cnns-for-trajectory-similarity
Revisiting CNNs for Trajectory Similarity Learning
2405.19761
https://arxiv.org/abs/2405.19761v2
https://arxiv.org/pdf/2405.19761v2.pdf
https://github.com/proudc/convtraj
true
true
false
pytorch
https://paperswithcode.com/paper/multivariate-probabilistic-time-series
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
2402.01000
https://arxiv.org/abs/2402.01000v4
https://arxiv.org/pdf/2402.01000v4.pdf
https://github.com/rottenivy/mv_pts_correlatederr
true
true
true
pytorch
https://paperswithcode.com/paper/pokerkit-a-comprehensive-python-library-for
PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations
2308.07327
https://arxiv.org/abs/2308.07327v6
https://arxiv.org/pdf/2308.07327v6.pdf
https://github.com/uoftcprg/pokerkit
true
true
false
none
https://paperswithcode.com/paper/inline-photometrically-calibrated-hybrid
Inline Photometrically Calibrated Hybrid Visual SLAM
2409.16810
https://arxiv.org/abs/2409.16810v1
https://arxiv.org/pdf/2409.16810v1.pdf
https://github.com/AUBVRL/HSLAM_docker
true
false
false
none
https://paperswithcode.com/paper/crafting-interpretable-embeddings-by-asking
Crafting Interpretable Embeddings by Asking LLMs Questions
2405.16714
https://arxiv.org/abs/2405.16714v1
https://arxiv.org/pdf/2405.16714v1.pdf
https://github.com/csinva/interpretable-embeddings
true
false
true
none
https://paperswithcode.com/paper/causalconceptts-causal-attributions-for-time
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models
2405.15871
https://arxiv.org/abs/2405.15871v1
https://arxiv.org/pdf/2405.15871v1.pdf
https://github.com/ai4healthuol/causalconceptts
true
true
true
pytorch
https://paperswithcode.com/paper/we-should-identify-and-mitigate-third-party
We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems
2506.13666
https://arxiv.org/abs/2506.13666v1
https://arxiv.org/pdf/2506.13666v1.pdf
https://github.com/littlelittlenine/safemcp
true
true
false
none
https://paperswithcode.com/paper/do-not-answer-a-dataset-for-evaluating
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
2308.13387
https://arxiv.org/abs/2308.13387v2
https://arxiv.org/pdf/2308.13387v2.pdf
https://github.com/libr-ai/do-not-answer
true
true
true
none
https://paperswithcode.com/paper/3d-unsupervised-learning-by-distilling-2d
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving
2405.15286
https://arxiv.org/abs/2405.15286v3
https://arxiv.org/pdf/2405.15286v3.pdf
https://github.com/sbysbysbys/afov
true
true
false
pytorch
https://paperswithcode.com/paper/on-fairness-of-medical-image-classification
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
2301.01481
https://arxiv.org/abs/2301.01481v3
https://arxiv.org/pdf/2301.01481v3.pdf
https://github.com/ubc-tea/fcro-fair-classification-orthogonal-representation
true
true
true
pytorch
https://paperswithcode.com/paper/detectorless-3d-terahertz-imaging-achieving
Detectorless 3D terahertz imaging: achieving subwavelength resolution with reflectance confocal interferometric microscopy
2412.18403
https://arxiv.org/abs/2412.18403v4
https://arxiv.org/pdf/2412.18403v4.pdf
https://github.com/jrgsilv/beam-propagation
true
true
false
none
https://paperswithcode.com/paper/cross-view-masked-diffusion-transformers-for
Cross-view Masked Diffusion Transformers for Person Image Synthesis
2402.01516
https://arxiv.org/abs/2402.01516v2
https://arxiv.org/pdf/2402.01516v2.pdf
https://github.com/trungpx/xmdpt
true
true
true
pytorch
https://paperswithcode.com/paper/text2ac-zero-consistent-synthesis-of-animated
LatentMan: Generating Consistent Animated Characters using Image Diffusion Models
2312.07133
https://arxiv.org/abs/2312.07133v2
https://arxiv.org/pdf/2312.07133v2.pdf
https://github.com/abdo-eldesokey/latentman
true
true
true
pytorch
https://paperswithcode.com/paper/pose-guidance-by-supervision-a-framework-for
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
2312.05634
https://arxiv.org/abs/2312.05634v3
https://arxiv.org/pdf/2312.05634v3.pdf
https://github.com/huyquoctrinh/pgds
true
true
true
pytorch
https://paperswithcode.com/paper/alirector-alignment-enhanced-chinese
Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector
2402.04601
https://arxiv.org/abs/2402.04601v2
https://arxiv.org/pdf/2402.04601v2.pdf
https://github.com/yanghh2000/alirector
true
true
false
pytorch
https://paperswithcode.com/paper/gift-generative-interpretable-fine-tuning
Generative Parameter-Efficient Fine-Tuning
2312.00700
https://arxiv.org/abs/2312.00700v4
https://arxiv.org/pdf/2312.00700v4.pdf
https://github.com/savadikarc/gift
true
true
true
pytorch
https://paperswithcode.com/paper/phase-aware-speech-enhancement-with-deep-1
Phase-aware Speech Enhancement with Deep Complex U-Net
1903.03107
http://arxiv.org/abs/1903.03107v2
http://arxiv.org/pdf/1903.03107v2.pdf
https://github.com/ContigoAI/tf1-phase-aware-speech-enhancement
false
false
false
tf
https://paperswithcode.com/paper/grootvl-tree-topology-is-all-you-need-in
GrootVL: Tree Topology is All You Need in State Space Model
2406.02395
https://arxiv.org/abs/2406.02395v1
https://arxiv.org/pdf/2406.02395v1.pdf
https://github.com/easonxiao-888/grootvl
true
true
true
jax
https://paperswithcode.com/paper/factgenius-combining-zero-shot-prompting-and
FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs
2406.01311
https://arxiv.org/abs/2406.01311v1
https://arxiv.org/pdf/2406.01311v1.pdf
https://github.com/sushantgautam/factgenius
true
true
false
none
https://paperswithcode.com/paper/eit-enhanced-interactive-transformer
EIT: Enhanced Interactive Transformer
2212.10197
https://arxiv.org/abs/2212.10197v2
https://arxiv.org/pdf/2212.10197v2.pdf
https://github.com/zhengkid/eit-enhanced-interactive-transformer
true
true
false
none
https://paperswithcode.com/paper/densegnn-universal-and-scalable-deeper-graph
DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules
2501.03278
https://arxiv.org/abs/2501.03278v1
https://arxiv.org/pdf/2501.03278v1.pdf
https://github.com/dhw059/densegnn
true
true
false
tf
https://paperswithcode.com/paper/multifaceteval-multifaceted-evaluation-to
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge
2406.02919
https://arxiv.org/abs/2406.02919v1
https://arxiv.org/pdf/2406.02919v1.pdf
https://github.com/thumlp/multifaceteval
true
true
false
pytorch
https://paperswithcode.com/paper/spikelm-towards-general-spike-driven-language
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
2406.03287
https://arxiv.org/abs/2406.03287v1
https://arxiv.org/pdf/2406.03287v1.pdf
https://github.com/xingrun-xing/spikelm
true
true
false
pytorch
https://paperswithcode.com/paper/specexec-massively-parallel-speculative
SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices
2406.02532
https://arxiv.org/abs/2406.02532v3
https://arxiv.org/pdf/2406.02532v3.pdf
https://github.com/yandex-research/specexec
true
true
true
pytorch
https://paperswithcode.com/paper/zero-shot-machine-unlearning-at-scale-via
An Information Theoretic Approach to Machine Unlearning
2402.01401
https://arxiv.org/abs/2402.01401v4
https://arxiv.org/pdf/2402.01401v4.pdf
https://github.com/jwf40/information-theoretic-unlearning
true
true
true
pytorch
https://paperswithcode.com/paper/adaptive-slot-attention-object-discovery-with-1
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
2406.09196
https://arxiv.org/abs/2406.09196v1
https://arxiv.org/pdf/2406.09196v1.pdf
https://github.com/lucidrains/slot-attention
false
false
true
pytorch
https://paperswithcode.com/paper/transformers-are-sample-efficient-world
Transformers are Sample-Efficient World Models
2209.00588
https://arxiv.org/abs/2209.00588v2
https://arxiv.org/pdf/2209.00588v2.pdf
https://github.com/vmicheli/delta-iris
false
false
true
pytorch
https://paperswithcode.com/paper/topviewrs-vision-language-models-as-top-view
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
2406.02537
https://arxiv.org/abs/2406.02537v1
https://arxiv.org/pdf/2406.02537v1.pdf
https://github.com/cambridgeltl/topviewrs
true
true
true
none
https://paperswithcode.com/paper/dwnet-dense-warp-based-network-for-pose
DwNet: Dense warp-based network for pose-guided human video generation
1910.09139
https://arxiv.org/abs/1910.09139v1
https://arxiv.org/pdf/1910.09139v1.pdf
https://github.com/ai-med/stablepose
false
false
true
pytorch
https://paperswithcode.com/paper/humansd-a-native-skeleton-guided-diffusion
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
2304.04269
https://arxiv.org/abs/2304.04269v1
https://arxiv.org/pdf/2304.04269v1.pdf
https://github.com/ai-med/stablepose
false
false
true
pytorch
https://paperswithcode.com/paper/tackling-non-stationarity-in-reinforcement
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
2306.02747
https://arxiv.org/abs/2306.02747v3
https://arxiv.org/pdf/2306.02747v3.pdf
https://github.com/pku-rl/corep
true
true
true
pytorch
https://paperswithcode.com/paper/adafisher-adaptive-second-order-optimization
AdaFisher: Adaptive Second Order Optimization via Fisher Information
2405.16397
https://arxiv.org/abs/2405.16397v3
https://arxiv.org/pdf/2405.16397v3.pdf
https://github.com/AtlasAnalyticsLab/AdaFisher
true
true
true
pytorch
https://paperswithcode.com/paper/automated-focused-feedback-generation-for
Automated Focused Feedback Generation for Scientific Writing Assistance
2405.20477
https://arxiv.org/abs/2405.20477v2
https://arxiv.org/pdf/2405.20477v2.pdf
https://github.com/ericchamoun/FocusedFeedbackGeneration
true
true
true
none
https://paperswithcode.com/paper/ttm-re-memory-augmented-document-level
TTM-RE: Memory-Augmented Document-Level Relation Extraction
2406.05906
https://arxiv.org/abs/2406.05906v1
https://arxiv.org/pdf/2406.05906v1.pdf
https://github.com/chufangao/ttm-re
true
true
true
pytorch
https://paperswithcode.com/paper/multi-swap-k-means
Multi-Swap $k$-Means++
2309.16384
https://arxiv.org/abs/2309.16384v2
https://arxiv.org/pdf/2309.16384v2.pdf
https://github.com/lorenzo2beretta/multi-swap-k-means-pp
true
true
true
none
https://paperswithcode.com/paper/trusting-your-evidence-hallucinate-less-with
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
2305.14739
https://arxiv.org/abs/2305.14739v1
https://arxiv.org/pdf/2305.14739v1.pdf
https://github.com/danshi777/ircan
false
false
true
pytorch
https://paperswithcode.com/paper/score-based-causal-representation-learning-1
Score-based Causal Representation Learning: Linear and General Transformations
2402.00849
https://arxiv.org/abs/2402.00849v3
https://arxiv.org/pdf/2402.00849v3.pdf
https://github.com/acarturk-e/score-based-crl
true
true
true
pytorch
https://paperswithcode.com/paper/general-identifiability-and-achievability-for
General Identifiability and Achievability for Causal Representation Learning
2310.15450
https://arxiv.org/abs/2310.15450v2
https://arxiv.org/pdf/2310.15450v2.pdf
https://github.com/acarturk-e/score-based-crl
false
false
true
pytorch
https://paperswithcode.com/paper/fine-tuning-wav2vec2-for-speaker-recognition
Fine-tuning wav2vec2 for speaker recognition
2109.15053
https://arxiv.org/abs/2109.15053v2
https://arxiv.org/pdf/2109.15053v2.pdf
https://github.com/MS-P3/code7/tree/main/wav2vec2
false
false
false
mindspore
https://paperswithcode.com/paper/a-modelling-framework-for-the-analysis-of-the
A modelling framework for the analysis of the SARS-CoV2 transmission dynamics
2203.03773
https://arxiv.org/abs/2203.03773v3
https://arxiv.org/pdf/2203.03773v3.pdf
https://github.com/anastasiachtz/seir-gbm
true
true
true
none
https://paperswithcode.com/paper/reframing-the-relationship-in-out-of
Concept Matching with Agent for Out-of-Distribution Detection
2405.16766
https://arxiv.org/abs/2405.16766v2
https://arxiv.org/pdf/2405.16766v2.pdf
https://github.com/yuxiaoleemarks/cma
true
true
false
none
https://paperswithcode.com/paper/evaluating-extensions-to-lcdm-an-application
Evaluating extensions to LCDM: an application of Bayesian model averaging and selection
2403.02120
https://arxiv.org/abs/2403.02120v4
https://arxiv.org/pdf/2403.02120v4.pdf
https://github.com/simonpara/fast-mpc
false
false
true
none
https://paperswithcode.com/paper/dataset-condensation-for-time-series
Dataset Condensation for Time Series Classification via Dual Domain Matching
2403.07245
https://arxiv.org/abs/2403.07245v3
https://arxiv.org/pdf/2403.07245v3.pdf
https://github.com/zhyliu00/TimeSeriesCond
true
true
false
pytorch
https://paperswithcode.com/paper/sslam-enhancing-self-supervised-models-with-1
SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
2506.12222
https://arxiv.org/abs/2506.12222v1
https://arxiv.org/pdf/2506.12222v1.pdf
https://github.com/ta012/SSLAM
false
true
false
pytorch
https://paperswithcode.com/paper/the-signaling-dimension-of-two-dimensional
The signaling dimension of two-dimensional and polytopic systems
2407.17725
https://arxiv.org/abs/2407.17725v1
https://arxiv.org/pdf/2407.17725v1.pdf
https://github.com/syu-shu/sigdim
true
true
false
none
https://paperswithcode.com/paper/togs-gaussian-splatting-with-temporal-opacity
TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering
2403.19586
https://arxiv.org/abs/2403.19586v2
https://arxiv.org/pdf/2403.19586v2.pdf
https://github.com/hustvl/TOGS
true
true
true
pytorch
https://paperswithcode.com/paper/xmem-long-term-video-object-segmentation-with
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
2207.07115
https://arxiv.org/abs/2207.07115v2
https://arxiv.org/pdf/2207.07115v2.pdf
https://github.com/tianyuan168326/videosemanticcompression-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/vript-a-video-is-worth-thousands-of-words
Vript: A Video Is Worth Thousands of Words
2406.06040
https://arxiv.org/abs/2406.06040v2
https://arxiv.org/pdf/2406.06040v2.pdf
https://github.com/mutonix/vript
true
true
true
pytorch
https://paperswithcode.com/paper/q-ground-image-quality-grounding-with-large
Q-Ground: Image Quality Grounding with Large Multi-modality Models
2407.17035
https://arxiv.org/abs/2407.17035v1
https://arxiv.org/pdf/2407.17035v1.pdf
https://github.com/q-future/q-ground
true
true
true
none
https://paperswithcode.com/paper/persistent-homology-for-structural
Persistent Homology for Structural Characterization in Disordered Systems
2411.14390
https://arxiv.org/abs/2411.14390v8
https://arxiv.org/pdf/2411.14390v8.pdf
https://github.com/anwanguow/PH_structural
true
true
true
none
https://paperswithcode.com/paper/dynamics-of-quantum-turbulence-in-axially
Dynamics of quantum turbulence in axially rotating thermal counterflow
2407.06311
https://arxiv.org/abs/2407.06311v1
https://arxiv.org/pdf/2407.06311v1.pdf
https://bitbucket.org/emil_varga/openvort
true
false
false
none
https://paperswithcode.com/paper/open-vocabulary-calibration-for-vision
Open-Vocabulary Calibration for Fine-tuned CLIP
2402.04655
https://arxiv.org/abs/2402.04655v4
https://arxiv.org/pdf/2402.04655v4.pdf
https://github.com/ml-stat-Sustech/CLIP_Calibration
true
true
true
pytorch
https://paperswithcode.com/paper/enhancing-end-to-end-autonomous-driving-with
Enhancing End-to-End Autonomous Driving with Latent World Model
2406.08481
https://arxiv.org/abs/2406.08481v1
https://arxiv.org/pdf/2406.08481v1.pdf
https://github.com/bravegroup/law
true
true
true
pytorch
https://paperswithcode.com/paper/combining-graph-neural-network-and-mamba-to
Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images
2406.04377
https://arxiv.org/abs/2406.04377v1
https://arxiv.org/pdf/2406.04377v1.pdf
https://github.com/rina-ding/gat-mamba
true
true
true
pytorch
https://paperswithcode.com/paper/towards-hetero-client-federated-multi-task
FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning
2311.13250
https://arxiv.org/abs/2311.13250v2
https://arxiv.org/pdf/2311.13250v2.pdf
https://github.com/innovator-zero/fedhca2
false
false
true
pytorch
https://paperswithcode.com/paper/autoregressive-pretraining-with-mamba-in
Autoregressive Pretraining with Mamba in Vision
2406.07537
https://arxiv.org/abs/2406.07537v1
https://arxiv.org/pdf/2406.07537v1.pdf
https://github.com/oliverrensu/arm
true
true
true
pytorch
https://paperswithcode.com/paper/transact-transformer-based-realtime-user
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
2306.00248
https://arxiv.org/abs/2306.00248v1
https://arxiv.org/pdf/2306.00248v1.pdf
https://github.com/reczoo/FuxiCTR
false
false
true
pytorch
https://paperswithcode.com/paper/machine-learning-classification-of-fast-radio
Machine learning classification of CHIME fast radio bursts: II. Unsupervised Methods
2210.02471
https://arxiv.org/abs/2210.02471v3
https://arxiv.org/pdf/2210.02471v3.pdf
https://github.com/ArjunS07/pu-learning-for-frbs-2023
false
false
true
none
https://paperswithcode.com/paper/boosting-zero-shot-crosslingual-performance
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection
2407.10582
https://arxiv.org/abs/2407.10582v1
https://arxiv.org/pdf/2407.10582v1.pdf
https://github.com/csalt-research/llm-based-augmentations-with-effective-data-selection
true
true
false
pytorch
https://paperswithcode.com/paper/active-learning-for-derivative-based-global
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
2407.09739
https://arxiv.org/abs/2407.09739v2
https://arxiv.org/pdf/2407.09739v2.pdf
https://github.com/belakaria/al-gsa-dgsms
true
true
false
pytorch
https://paperswithcode.com/paper/no-train-all-gain-self-supervised-gradients
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
2407.10964
https://arxiv.org/abs/2407.10964v2
https://arxiv.org/pdf/2407.10964v2.pdf
https://github.com/waltersimoncini/fungivision
true
true
true
pytorch
https://paperswithcode.com/paper/video-diffusion-alignment-via-reward
Video Diffusion Alignment via Reward Gradients
2407.08737
https://arxiv.org/abs/2407.08737v1
https://arxiv.org/pdf/2407.08737v1.pdf
https://github.com/mihirp1998/vader
true
true
true
pytorch
https://paperswithcode.com/paper/securing-confidential-data-for-distributed
Securing Confidential Data For Distributed Software Development Teams: Encrypted Container File
2407.09142
https://arxiv.org/abs/2407.09142v1
https://arxiv.org/pdf/2407.09142v1.pdf
https://github.com/hirnmoder/ecf
true
true
false
none
https://paperswithcode.com/paper/the-scandinavian-embedding-benchmarks
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
2406.02396
https://arxiv.org/abs/2406.02396v1
https://arxiv.org/pdf/2406.02396v1.pdf
https://github.com/kennethenevoldsen/scandinavian-embedding-benchmark
true
true
true
none
https://paperswithcode.com/paper/harp-a-large-scale-higher-order-ambisonic
HARP: A Large-Scale Higher-Order Ambisonic Room Impulse Response Dataset
2411.14207
https://arxiv.org/abs/2411.14207v2
https://arxiv.org/pdf/2411.14207v2.pdf
https://github.com/whojavumusic/harp
true
true
true
none
https://paperswithcode.com/paper/moat-evaluating-lmms-for-capability
MOAT: Evaluating LMMs for Capability Integration and Instruction Grounding
2503.09348
https://arxiv.org/abs/2503.09348v1
https://arxiv.org/pdf/2503.09348v1.pdf
https://github.com/Cambrian-yzt/MOAT
true
false
true
none
https://paperswithcode.com/paper/stranger-danger-identifying-and-avoiding
Stranger Danger! Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation
2407.06056
https://arxiv.org/abs/2407.06056v1
https://arxiv.org/pdf/2407.06056v1.pdf
https://github.com/sarapohland/stranger-danger
true
true
true
pytorch
https://paperswithcode.com/paper/an-empirical-comparison-of-vocabulary
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models
2407.05841
https://arxiv.org/abs/2407.05841v2
https://arxiv.org/pdf/2407.05841v2.pdf
https://github.com/AI4Bharat/VocabAdaptation_LLM
true
true
false
pytorch
https://paperswithcode.com/paper/a-computational-study-of-a-class-of-recursive
A computational study of a class of recursive inequalities
2207.14559
https://arxiv.org/abs/2207.14559v2
https://arxiv.org/pdf/2207.14559v2.pdf
https://github.com/Kejineri/Proof-mining-
false
false
true
none
https://paperswithcode.com/paper/p-icl-point-in-context-learning-for-named
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
2405.04960
https://arxiv.org/abs/2405.04960v2
https://arxiv.org/pdf/2405.04960v2.pdf
https://github.com/jiangguochaogg/p-icl
true
true
false
pytorch
https://paperswithcode.com/paper/protsolm-protein-solubility-prediction-with
ProtSolM: Protein Solubility Prediction with Multi-modal Features
2406.19744
https://arxiv.org/abs/2406.19744v1
https://arxiv.org/pdf/2406.19744v1.pdf
https://github.com/tyang816/ProtSolM
true
false
false
pytorch
https://paperswithcode.com/paper/close-but-not-there-boosting-geographic
Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition
2407.02422
https://arxiv.org/abs/2407.02422v1
https://arxiv.org/pdf/2407.02422v1.pdf
https://github.com/serizba/cliquemining
true
false
true
pytorch
https://paperswithcode.com/paper/ceci-n-est-pas-une-pomme-adversarial
Adversarial Illusions in Multi-Modal Embeddings
2308.11804
https://arxiv.org/abs/2308.11804v4
https://arxiv.org/pdf/2308.11804v4.pdf
https://github.com/ebagdasa/adversarial_illusions
true
true
true
pytorch
https://paperswithcode.com/paper/towards-neural-scaling-laws-for-foundation
Towards Neural Scaling Laws for Foundation Models on Temporal Graphs
2406.10426
https://arxiv.org/abs/2406.10426v2
https://arxiv.org/pdf/2406.10426v2.pdf
https://github.com/benjaminnNgo/ScalingTGNs
true
true
false
pytorch
https://paperswithcode.com/paper/quantune-post-training-quantization-of
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment
2202.05048
https://arxiv.org/abs/2202.05048v2
https://arxiv.org/pdf/2202.05048v2.pdf
https://github.com/etri/nest-compiler
true
true
false
pytorch