PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems


PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments


PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative models


PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks


PPGNet: Learning Point-Pair Graph for Line Segment Detection


PPL Bench: Evaluation Framework For Probabilistic Programming Languages


PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance


PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond


PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models


PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding


PPNet: A Two-Stage Neural Network for End-to-end Path Planning


PPO Dash: Improving Generalization in Deep Reinforcement Learning


PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X


PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency


PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning


PPSURF: Combining Patches and Point Convolutions for Detailed Surface Reconstruction


PPT4J: Patch Presence Test for Java Binaries


PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation


PPT: Pre-trained Prompt Tuning for Few-shot Learning


PPT: Token Pruning and Pooling for Efficient Vision Transformers


PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides


PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion


PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion


PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification


PQ-CAN: A Framework for Simulating Post-Quantum Cryptography in Embedded Systems


PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models


PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction


PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applications


PQk-means: Billion-scale Clustering for Product-quantized Codes


PR-DAD: Phase Retrieval Using Deep Auto-Decoders


PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition


PR2: A Physics- and Photo-realistic Testbed for Embodied AI and Humanoid Robots


PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis


PRADA: Protecting against DNN Model Stealing Attacks


PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis


PRANC: Pseudo RAndom Networks for Compacting deep models


PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference


PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System


PRASSE -- The Pulsar Automated Search Script Ensemble


PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations


PRDP: Progressively Refined Differentiable Physics


PRE-Share Data: Assistance Tool for Resource-aware Designing of Data-sharing Pipelines


PREADD: Prefix-Adaptive Decoding for Controlled Text Generation


PREC: semantic translation of property graphs


PRECISE Photonic hybRid EleCtromagnetIc SolvEr


PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings


PREF: Phasorial Embedding Fields for Compact Neural Representations


PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation


PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image


PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection


PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks


PREME: Preference-based Meeting Exploration through an Interactive Questionnaire


PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction


PRESENT: Zero-Shot Text-to-Prosody Control


PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs


PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes


PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts


PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation


PRETUS: A plug-in based platform for real-time ultrasound imaging research


PREVENT: An Unsupervised Approach to Predict Software Failures in Production


PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion


PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction


PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry


PRIBOOT: A New Data-Driven Expert for Improved Driving Simulations


PRICE: A Pretrained Model for Cross-Database Cardinality Estimation


PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting


PRIEST: Projection Guided Sampling-Based Optimization For Autonomous Navigation


PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters


PRIME-DP: Pre-trained Integrated Model for Earthquake Data Processing


PRIME: A few primitives can boost robustness to common corruptions


PRIME: Fast Primal-Dual Feedback Optimization for Markets with Application to Optimal Power Flow


PRIME: Protect Your Videos From Malicious Editing


PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions


PRIMG : Efficient LLM-driven Test Generation Using Mutant Prioritization


PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration


PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features


PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems


PRINS: Scalable Model Inference for Component-based System Logs


PRIOR: Prototype Representation Joint Learning from Medical Images and Reports


PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information


PRIS: Practical robust invertible network for image steganography


PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control


PRISM-TopoMap: Online Topological Mapping with Place Recognition and Scan Matching


PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder


PRISM: A Methodology for Auditing Biases in Large Language Models


PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection


PRISM: Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration for EHR Data Sparsity Mitigation


PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for Manipulation


PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models


PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning


PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval


PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models


PRNU Based Source Camera Attribution for Image Sets Anonymized with Patch-Match Algorithm


PRNet: Self-Supervised Learning for Partial-to-Partial Registration


PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection


PRO-V: An Efficient Program Generation Multi-Agent System for Automatic RTL Verification


PROB: Probabilistic Objectness for Open World Object Detection


PROBE3.0: A Systematic Framework for Design-Technology Pathfinding with Improved Design Enablement


PRODIGy: a PROfile-based DIalogue Generation dataset


PROFET: Construction and Inference of DBNs Based on Mathematical Models


PROFIT: A Novel Training Method for sub-4-bit MobileNet Models


PROFIT: Projection-based Test in Longitudinal Functional Data


PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization


PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates


PROMPT: A Fast and Extensible Memory Profiling Framework


PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs


PROMPTHEUS: A Human-Centered Pipeline to Streamline SLRs with LLMs


PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization


PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks


PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation


PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments


PROPS: Probabilistic personalization of black-box sequence models


PROSO Toolbox: a unified protein-constrained genome-scale modelling framework for strain designing and optimization


PROTES: Probabilistic Optimization with Tensor Sampling


PROTEST: Nonparametric Testing of Hypotheses Enhanced by Experts' Utility Judgements


PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning


PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning


PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation


PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems


PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data


PROVES: Establishing Image Provenance using Semantic Signatures


PROXI: Challenging the GNNs for Link Prediction


PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models


PROZE: Generating Parameterized Unit Tests Informed by Runtime Data


PRSNet: A Masked Self-Supervised Learning Pedestrian Re-Identification Method


PRTGaussian: Efficient Relighting Using 3D Gaussians with Precomputed Radiance Transfer


PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms


PRVQL: Progressive Knowledge-guided Refinement for Robust Egocentric Visual Query Localization


PReLU: Yet Another Single-Layer Solution to the XOR Problem


PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting


PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration


PRoA: A Probabilistic Robustness Assessment against Functional Perturbations


PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies


PRoTECT: Parallelized Construction of Safety Barrier Certificates for Nonlinear Polynomial Systems


PRover: Proof Generation for Interpretable Reasoning over Rules


PRyMordial: The First Three Minutes, Within and Beyond the Standard Model


PS$^3$: Precise Patch Presence Test based on Semantic Symbolic Signature


PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection


PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism


PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification


PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model


PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning


PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting


PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection


PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models


PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction


PSC: Extending Context Window of Large Language Models via Phase Shift Calibration


PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization


PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality Assessment


PSCS: A Path-based Neural Model for Semantic Code Search


PSCon: Product Search Through Conversations


PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening


PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images


PSI: Constructing ad-hoc Simplices to Interpolate High-Dimensional Unstructured Data


PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation


PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code


PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping


PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization


PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation


PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud


PSO-Convolutional Neural Networks with Heterogeneous Learning Rate


PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks


PSPACE-Hard 2D Super Mario Games: Thirteen Doors


PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment


PSSD: Making Large Language Models Self-denial via Human Psyche Structure


PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling


PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes


PSST! Prosodic Speech Segmentation with Transformers


PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network


PST-Bench: Tracing and Benchmarking the Source of Publications


PSTR: End-to-End One-Step Person Search With Transformers


PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition


PSVRF: Learning to restore Pitch-Shifted Voice without reference


PSWF-Radon approach to reconstruction from band-limited Hankel transform


PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models


PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation


PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization


PSpectCosmo: A Pseudo-Spectral Code for Cosmological Dynamics Spanning Inflation and Reheating


PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning


PT43D: A Probabilistic Transformer for Generating 3D Shapes from Single Highly-Ambiguous RGB Images


PT4AL: Using Self-Supervised Pretext Tasks for Active Learning


PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark


PTCT: Patches with 3D-Temporal Convolutional Transformer Network for Precipitation Nowcasting


PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL


PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System


PTHash: Revisiting FCH Minimal Perfect Hashing


PTHelper: An open source tool to support the Penetration Testing process


PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models


PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages


PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer


PTPerf: On the performance evaluation of Tor Pluggable Transports


PTPsec: Securing the Precision Time Protocol Against Time Delay Attacks Using Cyclic Path Asymmetry Analysis


PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models


PTQ4DiT: Post-training Quantization for Diffusion Transformers


PTQ4RIS: Post-Training Quantization for Referring Image Segmentation


PTQ4SAM: Post-Training Quantization for Segment Anything


PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization


PTQD: Accurate Post-Training Quantization for Diffusion Models


PTR: Prompt Tuning with Rules for Text Classification


PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models


PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection


PTSG: a test generation tool based on extended finite state machine


PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection


PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision


PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas


PTZ-Calib: Robust Pan-Tilt-Zoom Camera Calibration


PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddings


PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary


PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud Upsampling


PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows


PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention


PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface


PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI


PUF for the Commons: Enhancing Embedded Security on the OS Level


PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning


PUGS: Zero-shot Physical Understanding with Gaussian Splatting


PULP-HD: Accelerating Brain-Inspired High-Dimensional Computing on a Parallel Ultra-Low Power Platform


PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration


PUMA: Empowering Unified MLLM with Multi-granular Visual Generation


PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment


PUMA: Secure Inference of LLaMA-7B in Five Minutes


PUNR: Pre-training with User Behavior Modeling for News Recommendation


PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting


PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits


PUREsuggest: Citation-based Literature Search and Visual Exploration with Keyword-controlled Rankings


PURL: Safe and Effective Sanitization of Link Decoration


PURS: Personalized Unexpected Recommender System for Improving User Satisfaction


PUTN: A Plane-fitting based Uneven Terrain Navigation Framework


PUZZLES: A Benchmark for Neural Algorithmic Reasoning


PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets


PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds


PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images


PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation


PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction


PVG: Progressive Vision Graph for Vision Recognition


PVI-DSO: Leveraging Planar Regularities for Direct Sparse Visual-Inertial Odometry


PVLens: Enhancing Pharmacovigilance Through Automated Label Extraction


PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI


PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction


PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer


PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection


PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization


PWESuite: Phonetic Word Embeddings and Tasks They Facilitate


PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments


PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences


PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation


PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams


PWSHAP: A Path-Wise Explanation Model for Targeted Variables


PWTO: A Heuristic Approach for Trajectory Optimization in Complex Terrains


PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation


PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks


PYTHIA 8 underlying event tune For RHIC energies


P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning


PaC-trees: Supporting Parallel and Compressed Purely-Functional Collections


PaCE: Parsimonious Concept Engineering for Large Language Models


PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts


PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models


PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers


PaCo: Parameter-Compositional Multi-Task Reinforcement Learning


PaCo: Preconditions Attributed to Commonsense Knowledge


PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning


PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs


PaDPaF: Partial Disentanglement with Partially-Federated GANs


PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition


PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction


PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry


PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher


PaLM: A Hybrid Parser and Language Model


PaMILO: A Solver for Multi-Objective Mixed Integer Linear Optimization and Beyond


PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction


PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification


PaRT: Parallel Learning Towards Robust and Transparent AI


PaRoT: A Practical Framework for Robust Deep Neural Network Training


PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration


PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge


PaSa: An LLM Agent for Comprehensive Academic Paper Search


PacGAN: The power of two samples in generative adversarial networks


PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency


PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models


Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation


Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation


Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization


PackHero: A Scalable Graph-based Approach for Efficient Packer Identification


PackIt: A Virtual Environment for Geometric Planning


PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning


Packed Acyclic Deterministic Finite Automata


Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet Data


Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning


Packing Disks into Disks with Optimal Worst-Case Density


Packing Squares into a Disk with Optimal Worst-Case Density


Packing3D: An Open-Source Analytical Framework for Computing Packing Density and Mixing Indices Using Partial Spherical Volumes


Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS


Padding Matters -- Exploring Function Detection in PE Files


PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise


Pade: A code for protoplanetary disk turbulence based on Pade differencing


PagPassGPT: Pattern Guided Password Guessing via Generative Pretrained Transformer


PageRank computation for Higher-Order Networks


Paicos: A Python package for analysis of (cosmological) simulations performed with Arepo


Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates


PainleveBacklundCheck: A Sympy-powered Kivy app for the Painlevé property of nonlinear dispersive PDEs and auto-Bäcklund transformations


Paint by Inpaint: Learning to Add Image Objects by Removing Them First


Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing


Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models


Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems


Painterly Image Harmonization by Learning from Painterly Objects


Painterly Image Harmonization using Diffusion Model


Painting halos from 3D dark matter fields using Wasserstein mapping networks


Painting with baryons: augmenting N-body simulations with gas using deep generative models


Pair localization in dipolar systems with tunable positional disorder


Pair then Relation: Pair-Net for Panoptic Scene Graph Generation


Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction


Pair-wise Layer Attention with Spatial Masking for Video Prediction


PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning


PairDistill: Pairwise Relevance Distillation for Dense Retrieval


PairEdit: Learning Semantic Variations for Exemplar-based Image Editing


PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison


PairNorm: Tackling Oversmoothing in GNNs


PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer


PairVDN - Pair-wise Decomposed Value Functions


Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks


Paired Explicit Relaxation Runge-Kutta Methods: Entropy-Conservative and Entropy-Stable High-Order Optimized Multirate Time Integration


Paired Test of Matrix Graphs and Brain Connectivity Analysis


Paired domination in trees: A linear algorithm and asymptotic normality


Pairing interacting protein sequences using masked language modeling


PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments


Pairwise Alignment Improves Graph Domain Adaptation


Pairwise Comparison Network for Remote Sensing Scene Classification


Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications


Pairwise Confusion for Fine-Grained Visual Classification


Pairwise Difference Learning for Classification


Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution


Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark


Pairwise Fairness for Ordinal Regression


Pairwise GUI Dataset Construction Between Android Phones and Tablets


Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance


Pairwise Margin Maximization for Deep Neural Networks


Pairwise Matching of Intermediate Representations for Fine-grained Explainability


Pairwise RM: Perform Best-of-N Sampling with Knockout Tournament


Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices


Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization


Pairwise sequence alignment with block and character edit operations


Pairwise tomography networks for many-body quantum systems


Pairwise-GAN: Pose-based View Synthesis through Pair-Wise Training


PalGAN: Image Colorization with Palette Generative Adversarial Networks


PalQuant: Accelerating High-precision Networks on Low-precision Accelerators


Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming


Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-Design


Paley-like graphs for the Ramsey number $r(C_4,K_t)$


Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023


PalmTree: Learning an Assembly Language Model for Instruction Embedding


Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts


Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning


Pan-Mamba: Effective pan-sharpening with State Space Model


Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals


Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder


Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation


Pan-sharpening via High-pass Modification Convolutional Neural Network


Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset


PanDepth: Joint Panoptic Segmentation and Depth Completion


PanFormer: a Transformer Based Model for Pan-sharpening


PanIC: consistent information criteria for general model selection problems


PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation


PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting


Panacea: A foundation model for clinical trial search, summarization, design, and recruitment


Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation


Panchromatic simulated galaxy observations from the NIHAO project


PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs


PandExo: A Community Tool for Transiting Exoplanet Science with JWST & HST


Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models


Panda: A pretrained forecast model for universal representation of chaotic dynamics


PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks


PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization


PandaSkill -- Player Performance and Skill Rating in Esports: Application to League of Legends


PandasBench: A Benchmark for the Pandas API


Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers


Pandemics In Silico: Scaling an Agent-Based Simulation on Realistic Social Contact Networks


Pandemonium: a clustering tool to partition parameter space -- application to the B anomalies


Pandora's Box in Your SSD: The Untold Dangers of NVMe


Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models


Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation


Pandora: A fast open-source exomoon transit detection algorithm


Panic at the ISCO: time-varying double-peaked broad lines from evolving accretion disks are common amongst optically variable AGN


Panini -- Anonymous Anycast and an Instantiation


Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration


PaniniQA: Enhancing Patient Education Through Interactive Question Answering


Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images


Pano2Room: Novel View Synthesis from a Single Indoor Panorama


PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes


PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution


PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion


PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding


PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation


PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation


PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation


PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic View


Panoptic 3D Scene Reconstruction From a Single RGB Image


Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots


Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency


Panoptic Scene Graph Generation with Semantics-Prototype Learning


Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers


Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks


Panoptic Studio: A Massively Multiview System for Social Interaction Capture


Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic Segmentation


Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation


Panoptic-SLAM: Visual SLAM in Dynamic Environments using Panoptic Segmentation


PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation


PanopticNDT: Efficient and Robust Panoptic Mapping


Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps


Panorama Generation From NFoV Image Done Right


Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors


Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes


Panoramic Direct LiDAR-assisted Visual Odometry


Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation


Panoramic Vision Transformer for Saliency Detection in 360° Videos


Pansharpening by convolutional neural networks in the full resolution framework


Pansharpening via Frequency-Aware Fusion Network with Explicit Similarity Constraints


PantheonRL: A MARL Library for Dynamic Training Interactions


Pantypes: Diverse Representatives for Self-Explainable Models


Pap2Pat: Towards Automated Paper-to-Patent Drafting using Chunk-based Outline-guided Generation


Papanicolaou Stain Unmixing for RGB Image Using Weighted Nucleus Sparsity and Total Variation Regularization


Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing


Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers


PaperBench: Evaluating AI's Ability to Replicate AI Research


PaperWave: Listening to Research Papers as Conversational Podcasts Scripted by LLM


Paperfetcher: A tool to automate handsearch for systematic reviews


PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory


Paperswithtopic: Topic Identification from Paper Title Only


Papez: Resource-Efficient Speech Separation with Auditory Working Memory


ParAMS: Parameter Optimization for Atomistic and Molecular Simulations


ParCNetV2: Oversized Kernel with Enhanced Attention


ParKCa: Causal Inference with Partially Known Causes


Para-Markov chains and related non-local equations


ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation


ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer


ParaICL: Towards Parallel In-Context Learning


ParaLS: Lexical Substitution via Pretrained Paraphraser


ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation


ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation


ParaShoot: A Hebrew Question Answering Dataset


Parabolic Approximation & Relaxation for MINLP


Parabolic Approximation Line Search for DNNs


Parabolic interface reconstruction for 2D volume of fluid methods


Parabolic optimal control problems with combinatorial switching constraints -- Part III: Branch-and-bound algorithm


Parabolically induced representations of p-adic $G_2$ distinguished by $SO_4$, I


Parachute: Single-Pass Bi-Directional Information Passing


Paracosm: A Language and Tool for Testing Autonomous Driving Systems


Paradigm Shift in Natural Language Processing


Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification


Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---


Paragraph-based Transformer Pre-training for Multi-Sentence Inference


Paragraph-level Citation Recommendation based on Topic Sentences as Queries


Paragraph-level Simplification of Medical Texts


Paragraph-to-Image Generation with Information-Enriched Diffusion Model


Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation


Parallax-Tolerant Unsupervised Deep Image Stitching


Parallax-tolerant Image Stitching via Segmentation-guided Multi-homography Warping


Parallax: A Compiler for Neutral Atom Quantum Computers under Hardware Constraints


Parallax: Automatic Data-Parallel Training of Deep Neural Networks


Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae


Parallel Affine Transformation Tuning of Markov Chain Monte Carlo


Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods


Parallel Algorithms for Butterfly Computations


Parallel Algorithms for Hierarchical Nucleus Decomposition


Parallel Algorithms for Masked Sparse Matrix-Matrix Products


Parallel Algorithms for Median Consensus Clustering in Complex Networks


Parallel Algorithms for Summing Floating-Point Numbers


Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification


Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization


Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows


Parallel Batch-Dynamic Algorithms for $k$-Core Decomposition and Related Graph Problems


Parallel Bayesian Optimization of Agent-based Transportation Simulation


Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression


Parallel Clique Counting and Peeling Algorithms


Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures


Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Rates


Parallel Context Windows for Large Language Models


Parallel Continuous Chain-of-Thought with Jacobi Iteration


Parallel Contraction Hierarchies Can Be Efficient and Scalable


Parallel Coordinate Descent Newton Method for Efficient $\ell_1$-Regularized Minimization


Parallel Data Augmentation for Formality Style Transfer


Parallel Detection for Efficient Video Analytics at the Edge


Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots


Parallel Driving for Fast Quantum Computing Under Speed Limits


Parallel Experimentation and Competitive Interference on Online Advertising Platforms


Parallel GPU-Accelerated Randomized Construction of Approximate Cholesky Preconditioners


Parallel Grid Pooling for Data Augmentation


Parallel Hyperparameter Optimization Of Spiking Neural Network


Parallel Index-Based Structural Graph Clustering and Its Approximation


Parallel Instance Query Network for Named Entity Recognition


Parallel Integer Sort: Theory and Practice


Parallel Interactive Networks for Multi-Domain Dialogue State Generation


Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation


Parallel Iterated Extended and Sigma-point Kalman Smoothers


Parallel Level set algorithm with MPI and accelerated on GPU


Parallel Longest Common SubSequence Analysis In Chapel


Parallel MCMC Without Embarrassing Failures


Parallel Matrix Condensation for Calculating Log-Determinant of Large Matrix


Parallel Model Exploration for Tumor Treatment Simulations


Parallel Model Predictive Control for Deterministic Systems


Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning


Parallel Motif-Based Community Detection


Parallel Multi-Stage Preconditioners with Adaptive Setup for the Black Oil Model


Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing


Parallel Non-divergent Flow Accumulation For Trillion Cell Digital Elevation Models On Desktops Or Clusters


Parallel Order-Based Core Maintenance in Dynamic Graphs


Parallel Performance of Molecular Dynamics Trajectory Analysis


Parallel Phase-shifting Digital Ghost Holography


Parallel Physics-Informed Neural Networks with Bidirectional Balance


Parallel Point-to-Point Shortest Paths and Batch Queries


Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints


Parallel Priority-Flood Depression Filling For Trillion Cell Digital Elevation Models On Desktops Or Clusters


Parallel Refinements for Lexically Constrained Text Generation with BART


Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection


Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning


Parallel Scaling Law for Language Models


Parallel Self-assembly for Modular USVs with Diverse Docking Mechanism Layouts


Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies


Parallel Split Learning with Global Sampling


Parallel Streaming Wasserstein Barycenters


Parallel Strong Connectivity Based on Faster Reachability


Parallel Tempering via Simulated Tempering Without Normalizing Constants


Parallel Verification of Natural Deduction Proof Graphs


Parallel Vertex Cover Algorithms on GPUs


Parallel adaptive weakly-compressible SPH for complex moving geometries


Parallel algorithms for computing the tensor-train decomposition


Parallel and (Nearly) Work-Efficient Dynamic Programming


Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics


Parallel and Scalable Heat Methods for Geodesic Distance Computation


Parallel and in-process compilation of individuals for genetic programming on GPU


Parallel computations for Metropolis Markov chains with Picard maps


Parallel cross interpolation for high-precision calculation of high-dimensional integrals


Parallel cross-validation: a scalable fitting method for Gaussian process models


Parallel decompression of gzip-compressed files and random access to DNA sequences


Parallel generalized solutions of mixed boundary value problem on partially fixed unit annulus subjected to arbitrary traction


Parallel kinetic Monte Carlo simulation of Coulomb glasses


Parallel repetition of local simultaneous state discrimination


Parallel square-root statistical linear regression for inference in nonlinear state space models


Parallel time integration using Batched BLAS (Basic Linear Algebra Subprograms) routines


Parallel transmit PUlse design for Saturation Homogeneity (PUSH) for Magnetization Transfer imaging at 7T


Parallel transport on matrix manifolds and Exponential Action


Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale


Parallel-in-Time Probabilistic Numerical ODE Solvers


Parallel-in-Time Solutions with Random Projection Neural Networks


Parallel-mentoring for Offline Model-based Optimization


ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies


Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints


Parallelizable Stack Long Short-Term Memory


Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems


Parallelization of Gillespie algorithm based on binary words


Parallelization of the Symplectic Massive Body Algorithm (SyMBA) $N$-body Code


Parallelization techniques for quantum simulation of fermionic systems


Parallelized Conflict Graph Cut Generation


Parallelized Multi-Agent Bayesian Optimization in Lava


Parallelized Tensor Train Learning of Polynomial Classifiers


Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second


Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations


Parallelizing Maximal Clique Enumeration on GPUs


Parallelizing Word2Vec in Multi-Core and Many-Core Architectures


Parallelizing a 1-Dim Nagel-Schreckenberg Traffic Model


Parallelizing multiple precision Taylor series method for integrating the Lorenz system


Parallelizing non-linear sequential models over the sequence length


Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group


Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends


ParamISP: Learned Forward and Inverse ISPs using Camera Parameters


ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain Normalization


ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks


Parameter Competition Balancing for Model Merging


Parameter Differentiation based Multilingual Neural Machine Translation


Parameter Distributions for the Drag-Based Modeling of CME Propagation


Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts


Parameter Efficient Deep Neural Networks with Bilinear Projections


Parameter Efficient Deep Probabilistic Forecasting


Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting


Parameter Efficient Fine-tuning via Explained Variance Adaptation


Parameter Efficient Instruction Tuning: An Empirical Study


Parameter Efficient Multi-task Model Fusion with Partial Linearization


Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation


Parameter Estimation for Stellar-Origin Black Hole Mergers In LISA


Parameter Estimation in Computational Biology by Approximate Bayesian Computation coupled with Sensitivity Analysis


Parameter Estimation in DAGs from Incomplete Data via Optimal Transport


Parameter Estimation of LAMOST Medium-resolution Stellar Spectra


Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks


Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE


Parameter Estimation with Increased Precision for Elliptic and Hypo-elliptic Diffusions


Parameter Estimation with Maximal Updated Densities


Parameter Exchange for Robust Dynamic Domain Generalization


Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations


Parameter Inference for Degenerate Diffusion Processes


Parameter Inference in Non-linear Dynamical Systems via Recurrence Plots and Convolutional Neural Networks


Parameter Inference via Differentiable Diffusion Bridge Importance Sampling


Parameter Inference with Bifurcation Diagrams


Parameter Restrictions for the Sake of Identification: Is there Utility in Asserting that Perhaps a Restriction Holds?


Parameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification


Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages


Parameter Synthesis for Markov Models: Covering the Parameter Space


Parameter Transfer Extreme Learning Machine based on Projective Model


Parameter and Data-Efficient Spectral StyleDCGAN


Parameter efficient dendritic-tree neurons outperform perceptrons


Parameter elimination in particle Gibbs sampling


Parameter estimation by learning quantum correlations in continuous photon-counting data using neural networks


Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural network


Parameter estimation for a hidden linear birth and death process with immigration


Parameter estimation for biochemical reaction networks using Wasserstein distances


Parameter estimation for discretely sampled stochastic heat equation driven by space-only noise


Parameter estimation from an Ornstein-Uhlenbeck process with measurement noise


Parameter estimation of binary black holes in the endpoint of the up-down instability


Parameter estimation with gravitational waves


Parameter extraction for a superconducting thermal switch (hTron) SPICE model


Parameter identifiability and model selection for partial differential equation models of cell invasion


Parameter identifiability, parameter estimation and model prediction for differential equation models


Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins


Parameter inference from a non-stationary unknown process


Parameter sharing between dependency parsers for related languages


Parameter uncertainties for imperfect surrogate models in the low-noise regime


Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining


Parameter-Efficient Abstractive Question Answering over Tables or Text


Parameter-Efficient Conversational Recommender System as a Language Processing Task


Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment


Parameter-Efficient Fine-Tuning for Foundation Models


Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey


Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning


Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain


Parameter-Efficient Fine-Tuning of State Space Models


Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV Imagery


Parameter-Efficient Fine-Tuning with Attributed Patch Semantic Graph for Automated Patch Correctness Assessment


Parameter-Efficient Fine-Tuning with Discrete Fourier Transform


Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling


Parameter-Efficient Finetuning of Transformers for Source Code


Parameter-Efficient Instance-Adaptive Neural Video Compression


Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling


Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings


Parameter-Efficient Learning for Text-to-Speech Accent Adaptation


Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval


Parameter-Efficient Person Re-identification in the 3D Space


Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks


Parameter-Efficient Sparsity for Large Language Models Fine-Tuning


Parameter-Efficient Transfer Learning for Music Foundation Models


Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval


Parameter-Efficient Tuning Makes a Good Classification Head


Parameter-Efficient Tuning with Special Token Adaptation


Parameter-Free FISTA by Adaptive Restart and Backtracking


Parameter-Free Probabilistic API Mining across GitHub


Parameter-Free Segmentation of Robot Movements with Cross-Correlation Using Different Similarity Metrics


Parameter-Free Style Projection for Arbitrary Style Transfer


Parameter-Level Soft-Masking for Continual Learning


Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising


Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset


Parameter-efficient Modularised Bias Mitigation via AdapterFusion


Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks


Parameter-efficient Prompt Learning for 3D Point Cloud Understanding


Parameter-free Dynamic Graph Embedding for Link Prediction


Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting


Parameter-free Online Test-time Adaptation


Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients


Parameter-free Sentence Embedding via Orthogonal Basis


Parameter-free accelerated gradient descent for nonconvex minimization


Parameter-free approximate equivariance for tasks with finite group symmetry


Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP


Parameterization-based Neural Network: Predicting Non-linear Stress-Strain Response of Composites


Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language Models


Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs


Parameterized Hypercomplex Graph Neural Networks for Graph Classification


Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning


Parameterized Learning and Distillation with Vortex-encoded Spectral Correlations


Parameterized Projected Bellman Operator


Parameterized Synthesis with Safety Properties


Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration


Parameterized Verification of Disjunctive Timed Networks


Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition


Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks


Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference


Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models


Parametric Amplification of a Quantum Pulse


Parametric Amplification of an Optomechanical Quantum Interconnect


Parametric Augmentation for Time Series Contrastive Learning


Parametric Classification for Generalized Category Discovery: A Baseline Study


Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers


Parametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data


Parametric Information Maximization for Generalized Category Discovery


Parametric Leaky Tanh: A New Hybrid Activation Function for Deep Learning


Parametric Majorization for Data-Driven Energy Minimization Methods


Parametric Modal Regression with Error in Covariates


Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack


Parametric PerceptNet: A bio-inspired deep-net trained for Image Quality Assessment


Parametric Point Cloud Completion for Polygonal Surface Reconstruction


Parametric Reachable Sets Via Controlled Dynamical Embeddings


Parametric Retrieval Augmented Generation


Parametric Scaling Law of Tuning Bias in Conformal Prediction


Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates


Parametric Subtyping for Structural Parametric Polymorphism


Parametric Surface Constrained Upsampler Network for Point Cloud


Parametric UMAP embeddings for representation and semi-supervised learning


Parametric and State Estimation of Stationary MEMS-IMUs: A Tutorial


Parametric and nonparametric symmetries in graphical models for extremes


Parametric approximation as open quantum systems problem


Parametric estimation and LAN property of the birth-death-move process with mutations


Parametric model order reduction for a wildland fire model via the shifted POD based deep learning method


Parametric model reduction of mean-field and stochastic systems via higher-order action matching


Parametricity, automorphisms of the universe, and excluded middle


Parametrization of sunspot groups based on machine learning approach


Parametrizations of All Stable Closed-loop Responses: From Theory to Neural Network Control Design


Parametrized Black Hole Quasinormal Ringdown Formalism for Higher Overtones


Parametrized path integral formulation for large fermion systems


Parametrizing Product Shape Manifolds by Composite Networks


Paraphrase Acquisition from Image Captions


Paraphrase Augmented Task-Oriented Dialog Generation


Paraphrase Detection: Human vs. Machine Content


Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models


Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations


Paraphrases do not explain word analogies


Paraphrasing Complex Network: Network Compression via Factor Transfer


Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense


Parapolitics and Roll-Call Voting in Colombia: A Bayesian Euclidean and Spherical Spatial Analysis


Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics


Parea: multi-view ensemble clustering for cancer subtype discovery


Parendi: Thousand-Way Parallel RTL Simulation


Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers


Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off


Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations


Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems


Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization


Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models


Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning


Pareto Optimal Compression of Genomic Dictionaries, with or without Random Access in Main Memory


Pareto Probing: Trading Off Accuracy for Complexity


Pareto Set Learning for Expensive Multi-Objective Optimization


Pareto Set Learning for Neural Multi-objective Combinatorial Optimization


Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles


Pareto optimality in multilayer network growth


Pareto sensitivity, most-changing sub-fronts, and knee solutions


Pareto-aware Neural Architecture Generation for Diverse Computational Budgets


Pareto-like Sequential Sampling Heuristic for Global Optimisation


Pareto-optimal clustering with the primal deterministic information bottleneck


Pareto-optimal data compression for binary classification tasks


ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual Analytics


Parfum: Detection and Automatic Repair of Dockerfile Smells


Parity Property of Hexagonal Sliding Puzzles


Parity of Polynomial Multiplier Sequences for the Chebyshev Basis


ParkPredict+: Multimodal Intent and Motion Prediction for Vehicles in Parking Lots with CNN and Transformer


Parking Space Detection in the City of Granada


ParkingE2E: Camera-based End-to-end Parking Network, from Images to Planning


Parkinson's Disease Classification via EEG: All You Need is a Single Convolutional Layer


Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions


Parkour Spot ID: Feature Matching in Satellite and Street view images using Deep Learning


ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms


Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules


Parmsurv: a SAS Macro for Flexible Parametric Survival Analysis with Long-Term Predictions


Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction


ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback


Parse Trees Guided LLM Prompt Compression


Parsec: A State Channel for the Internet of Value


Parsed Categoric Encodings with Automunge


Parser Knows Best: Testing DBMS with Coverage-Guided Grammar-Rule Traversal


Parser-Free Virtual Try-on via Distilling Appearance Flows


ParsiNLU: A Suite of Language Understanding Challenges for Persian


ParsiNorm: A Persian Toolkit for Speech Processing Normalization


ParsiPy: NLP Toolkit for Historical Persian Texts in Python


Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets


Parsimonious Topic Models with Salient Word Discovery


Parsing All: Syntax and Semantics, Dependencies and Spans


Parsing Fortran-77 with proprietary extensions


Parsing Millions of DNS Records per Second


Parsing R-CNN for Instance-Level Human Analysis


Parsing Speech: A Neural Approach to Integrating Lexical and Acoustic-Prosodic Information


Parsing Tweets into Universal Dependencies


Parsing Universal Dependencies without training


Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank


Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings


Parsing with Traces: An $O(n^4)$ Algorithm and a Structural Representation


Parsing-based View-aware Embedding Network for Vehicle Re-Identification


Parsl+CWL: Towards Combining the Python and CWL Ecosystems


Part Aware Contrastive Learning for Self-Supervised Action Recognition


Part Detector Discovery in Deep Convolutional Neural Networks


Part-Aware Data Augmentation for 3D Object Detection in Point Cloud


Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking


Part-Aware Transformer for Generalizable Person Re-identification


Part-Based Models Improve Adversarial Robustness


Part-Guided 3D RL for Sim2Real Articulated Object Manipulation


Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding


Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation


Part-aware Prototype Network for Few-shot Semantic Segmentation


Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition


Part-based Face Recognition with Vision Transformers


Part-based Graph Convolutional Network for Action Recognition


Part-guided Relational Transformers for Fine-grained Visual Recognition


Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource


Part2Object: Hierarchical Unsupervised 3D Instance Segmentation


PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation


PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects


PartGS:Learning Part-aware 3D Representations by Fusing 2D Gaussians and Superquadrics


PartGlot: Learning Shape Part Segmentation from Language Reference Games


PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition


PartImageNet: A Large, High-Quality Dataset of Parts


PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization


PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation


PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models


Parthenon -- a performance portable block-structured adaptive mesh refinement framework


Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing


Partial Channel Network: Compute Fewer, Perform Better


Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines


Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model


Partial Domain Adaptation without Domain Alignment


Partial Equivalence Checking of Quantum Circuits


Partial FC: Training 10 Million Identities on a Single Machine


Partial Hypernetworks for Continual Learning


Partial Identifiability for Nonnegative Matrix Factorization


Partial Identification of Treatment Effects with Implicit Generative Models


Partial Implementation of Max Flow and Min Cost Flow in Almost-Linear Time


Partial Information Sharing over Social Learning Networks


Partial Label Learning for Emotion Recognition from EEG


Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts


Partial Label Supervision for Agnostic Generative Noisy Label Learning


Partial Large Kernel CNNs for Efficient Super-Resolution


Partial Order Resolution of Event Logs for Process Conformance Checking


Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set


Partial Ordering Bayesian Logistic Regression Model for Phase I Combination Trials and Computationally Efficient Approach to Operational Prior Specification


Partial Policy Iteration for L1-Robust Markov Decision Processes


Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting


Partial Scanning Transmission Electron Microscopy with Deep Learning


Partial Separability and Functional Graphical Models for Multivariate Gaussian Processes


Partial Solvers for Generalized Parity Games


Partial Trace Regression and Low-Rank Kraus Decomposition


Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning


Partial Wasserstein and Maximum Mean Discrepancy distances for bridging the gap between outlier detection and drift detection


Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition


Partial information decomposition: redundancy as information bottleneck


Partial least squares for sparsely observed curves with measurement errors


Partial mean-field model for neurotransmission dynamics


Partial sensitivity analysis in differential privacy


Partial success in closing the gap between human and machine vision


Partial supervision for the FeTA challenge 2021


Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning


Partial-Attribution Instance Segmentation for Astronomical Source Detection and Deblending


Partial-Label Learning with a Reject Option


Partial-to-Partial Shape Matching with Geometric Consistency


Partial-wave projection of the one-particle exchange in three-body scattering amplitudes


PartialFormer: Modeling Part Instead of Whole for Machine Translation


Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling


Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation


Partially Linear Models under Data Combination


Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention


Partially Observable Mean Field Reinforcement Learning


Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids


Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior


Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data


Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data


Partially Shuffling the Training Data to Improve Language Models


Partially Stochastic Infinitely Deep Bayesian Neural Networks


Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss


Partially Synchronous BFT Consensus Made Practical in Wireless Networks


Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding


Partially coherent beam: Theory and simulation


Partially-Aligned Data-to-Text Generation with Distant Supervision


Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection


Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits


Participation bias in the estimation of heritability and genetic correlation


Participatory Budgeting Design for the Real World


Particle Data Cloning for Complex Ordinary Differential Equations


Particle Filter Networks with Application to Visual Localization


Particle Filter Recurrent Neural Networks


Particle Filter for Bayesian Inference on Privatized Data


Particle Gibbs Sampling for Bayesian Phylogenetic inference


Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models


Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models


Particle Methods for Stochastic Differential Equation Mixed Effects Models


Particle Semi-Implicit Variational Inference


Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials


Particle Systems and McKean--Vlasov Dynamics with Singular Interaction through Local Times


Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories


Particle acceleration at the bow shock of runaway star LS 2355: non-thermal radio emission but no $γ$-ray counterpart


Particle algorithms for maximum likelihood training of latent variable models


Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning


Particle detection performance and Geant4 simulation with low-cost CMOS technology


Particle exchange statistics beyond fermions and bosons


Particle gradient descent model for point process generation


Particle partition entanglement of one dimensional spinless fermions


Particle production in a hybrid approach for a beam energy scan of Au+Au/Pb+Pb collisions between $\sqrt{s_\mathrm{NN}}$ = 4.3 GeV and $\sqrt{s_\mathrm{NN}}$ = 200.0 GeV


Particle spectra of general Ricci-type Palatini or metric-affine theories


Particle streak velocimetry using Ensemble Convolutional Neural Networks


Particle swarm optimization in constrained maximum likelihood estimation a case study


Particle tracking velocimetry in liquid gallium flow about a cylindrical obstacle


Particle-Gibbs Sampling For Bayesian Feature Allocation Models


Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models


Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models


Particle-based Energetic Variational Inference


Particle-based Instance-aware Semantic Occupancy Mapping in Dynamic Environments


Particle-hole asymmetric ferromagnetism and spin textures in the triangular Hubbard-Hofstadter model


Particle-level model for radar based detection of high-energy neutrino cascades


ParticleGS: Particle-Based Dynamics Modeling of 3D Gaussians for Prior-free Motion Extrapolation


ParticleGrid: Enabling Deep Learning using 3D Representation of Materials


ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and Recycling


ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild


ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations


Particles to Partial Differential Equations Parsimoniously


Partisan: Enabling Cloud-Scale Erlang Applications


Partition MCMC for inference on acyclic digraphs


Partition Map-Based Fast Block Partitioning for VVC Inter Coding


Partition Pooling for Convolutional Graph Network Applications in Particle Physics


Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis


Partition and Code: learning how to compress graphs


Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation


Partition-Based Active Learning for Graph Neural Networks


Partition-Insensitive Parallel ADMM Algorithm for High-dimensional Linear Models


Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts


Partition-based formulations for mixed-integer optimization of trained ReLU neural networks


Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening


PartitionPIM: Practical Memristive Partitions for Fast Processing-in-Memory


Partitioned Saliency Ranking with Dense Pyramid Transformers


Partitioned integrators for thermodynamic parameterization of neural networks


Partitioning edges of a planar graph into linear forests and a matching


Partitioning the Bags of a Tree Decomposition Into Cliques


Partitions with prescribed sum of reciprocals: computational results


Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots


PartonDensity.jl: a novel parton density determination code


Parts in $k$-indivisible Partitions Always Display Biases between Residue Classes


Parts of Speech-Grounded Subspaces in Vision-Language Models


Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching between Parts and Words


PasMoQAP: A Parallel Asynchronous Memetic Algorithm for solving the Multi-Objective Quadratic Assignment Problem


Pass-Efficient Randomized Algorithms for Low-Rank Matrix Approximation Using Any Number of Views


PassGPT: Password Modeling and (Guided) Generation with Large Language Models


Passage Retrieval for Outside-Knowledge Visual Question Answering


Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders


Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models


Passing the Brazilian OAB Exam: data preparation and some experiments


PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution


Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity


Passive Non-Line-of-Sight Imaging with Light Transport Modulation


Passive Query-Recovery Attack Against Secure Conjunctive Keyword Search Schemes


Passive Taxonomy of Wifi Clients using MLME Frame Contents


Passive, Transparent, and Selective TLS Decryption for Network Security Monitoring


Passively parallel regularized stokeslets


Passivity-Based Gain-Scheduled Control with Scheduling Matrices


Password authentication schemes on a quantum computer


Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping


Past Meets Present: Creating Historical Analogy with Large Language Models


PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction


Pasta properties of the neutron star within effective relativistic mean-field model


PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph


Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer


Patapasco: A Python Framework for Cross-Language Information Retrieval Experiments


Patch Craft: Video Denoising by Deep Modeling and Patch Matching


Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models


Patch Ranking: Efficient CLIP by Learning to Rank Local Patches


Patch augmentation: Towards efficient decision boundaries for neural networks


Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors


Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning


Patch-Based Deep Autoencoder for Point Cloud Geometry Compression


Patch-Based Stochastic Attention for Image Editing


Patch-Craft Self-Supervised Training for Correlated Image Denoising


Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior


Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?


Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification


Patch-Ordering as a Regularization for Inverse Problems in Image Processing


Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach


Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification


Patch-based Object-centric Transformers for Efficient Video Generation


Patch-based Selection and Refinement for Early Object Detection


Patch-level Representation Learning for Self-supervised Vision Transformers


Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks


Patch-wise Contrastive Style Learning for Instagram Filter Removal


Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising


Patch-wise Graph Contrastive Learning for Image Translation


Patch-wise Structural Loss for Time Series Forecasting


Patch2Pix: Epipolar-Guided Pixel-Level Correspondences


Patch2QL: Discover Cognate Defects in Open Source Software Supply Chain With Auto-generated Static Analysis Rules


PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection


PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification


PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification


PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses


PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier


PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories


PatchDCT: Patch Refinement for High Quality Instance Segmentation


PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches


PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation


PatchDropout: Economizing Vision Transformers Using Patch Dropout


PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations


PatchGame: Learning to Signal Mid-level Patches in Referential Games


PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility


PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting


PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding


PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization


PatchNet -- Short-range Template Matching for Efficient Video Processing


PatchNet: A Tool for Deep Patch Classification


PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification


PatchProt: Hydrophobic patch prediction using protein foundation models


PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation


PatchRNN: A Deep Learning-Based System for Security Patch Identification


PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization


PatchSVD: A Non-uniform SVD-based Image Compression Algorithm


PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution


PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks


PatchVAE: Learning Local Latent Codes for Recognition


PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences


Patched Denoising Diffusion Models For High-Resolution Image Synthesis


Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI


Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation


Patching Leaks in the Charformer for Efficient Character-Level Generation


Patching as Translation: the Data and the Metaphor


Patching open-vocabulary models by interpolating weights


PatchmatchNet: Learned Multi-View Patchmatch Stereo


Patchy Image Structure Classification Using Multi-Orientation Region Transform


PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning


Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks


Patent Figure Classification using Large Vision-language Models


PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model


PatentEval: Understanding Errors in Patent Generation


PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures


PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT


Patents as Instruments for Exploring Innovation Dynamics: Geographic and Technological Perspectives on "Photovoltaic Cells"


Path Analysis for Effective Fault Localization in Deep Neural Networks


Path Based Hierarchical Clustering on Knowledge Graphs


Path Choice Matters for Clear Attribution in Path Methods


Path Development Network with Finite-dimensional Lie Group Representation


Path Guiding Using Spatio-Directional Mixture Models


Path Integral Based Convolution and Pooling for Graph Neural Networks


Path Integral Sampler: a stochastic control approach for sampling


Path Integral for Multiplicative Noise: Generalized Fokker-Planck Equation and Entropy Production Rate in Stochastic Processes With Threshold


Path Loss in Urban LoRa Networks: A Large-Scale Measurement Study


Path Neural Networks: Expressive and Accurate Graph Neural Networks


Path Planning and Optimization for Cuspidal 6R Manipulators


Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search


Path Planning in Dynamic Environments with Adaptive Dimensionality


Path Signature Area-Based Causal Discovery in Coupled Time Series


Path Similarity Analysis: a Method for Quantifying Macromolecular Pathways


Path Weight Sampling: Exact Monte Carlo Computation of the Mutual Information between Stochastic Trajectories


Path and Bone-Contour Regularized Unpaired MRI-to-CT Translation


Path integral molecular dynamics for anyons, bosons and fermions


Path integral molecular dynamics for thermodynamics and Green's function of ultracold spinor bosons


Path integral molecular dynamics simulations for Green's function in a system of identical bosons


Path mutual information for a class of biochemical reaction networks


Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost


Path-Based Formulations for the Design of On-demand Multimodal Transit Systems with Adoption Awareness


Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling


Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms


Path-Dependent SDEs: Solutions and Parameter Estimation


Path-Integral Isomorphic Hamiltonian for Including Nuclear Quantum Effects in Non-adiabatic Dynamics


Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering


Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation


Path-SGD: Path-Normalized Optimization in Deep Neural Networks


Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis


Path-Specific Counterfactual Fairness for Recommender Systems


Path-Tree Optimization in Discrete Partially Observable Environments using Rapidly-Exploring Belief-Space Graphs


Path-based Explanation for Knowledge Graph Completion


Path-based summary explanations for graph recommenders (extended version)


Path-integral molecular dynamics with actively-trained and universal machine learning force fields


Path-monochromatic bounded depth rooted trees in (random) tournaments


PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology


PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings


PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration


PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation


PathGAN: Local Path Planning with Attentive Generative Adversarial Networks


PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks


PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset


PathLDM: Text conditioned Latent Diffusion Model for Histopathology


PathMLP: Smooth Path Towards High-order Homophily


PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths


Pathdreamer: A World Model for Indoor Navigation


Pathfinder Discovery Networks for Neural Message Passing


Pathfinder for Low-altitude Aircraft with Binary Neural Network


Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology


Pathformer3D: A 3D Scanpath Transformer for 360° Images


PathletRL++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation via Reinforcement Learning


Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner


PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images


PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model


PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline


PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images


Pathogen.jl: Infectious Disease Transmission Network Modelling with Julia


Pathological Primitive Segmentation Based on Visual Foundation Model with Zero-Shot Mask Generation


Pathological Regularization Regimes in Classification Tasks


Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining


Pathology Image Restoration via Mixture of Prompts


Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs


Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis


PathologyGAN: Learning deep representations of cancer tissue


Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis


Paths and Ambient Spaces in Neural Loss Landscapes


Paths of A Million People: Extracting Life Trajectories from Wikipedia


Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery


Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics using Probabilistic Modeling


Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy


Pathways to Leverage Transcompiler based Data Augmentation for Cross-Language Clone Detection


Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling


Patient Recruitment Using Electronic Health Records Under Selection Bias: a Two-phase Sampling Framework


Patient Trajectory Prediction: Integrating Clinical Notes with Transformers


Patient flow networks absorb healthcare stress during pandemic crises


Patient stratification in multi-arm trials: a two-stage procedure with Bayesian profile regression


Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses


Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model


Patient-Specific Models of Treatment Effects Explain Heterogeneity in Tuberculosis


Patient-specific modelling, simulation and real-time processing for respiratory diseases


Patients' Severity States Classification based on Electronic Health Record (EHR) Data using Multiple Machine Learning and Deep Learning Approaches


PatrickStar: Parallel Training of Pre-trained Models via Chunk-based Memory Management


Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions


Pattern dark matter and galaxy scaling relations


Pattern formation and film rupture in a two-dimensional thermocapillary thin-film model of the Bénard-Marangoni problem


Pattern formation and front stability for a moving-boundary model of biological invasion and recession


Pattern matching algorithms in Blockchain for network fees reduction


Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE


Pattern-Based Peephole Optimizations with Java JIT Tests


Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction


Pattern-based Acquisition of Scientific Entities from Scholarly Article Titles


PatternBoost: Constructions in Mathematics with a Little Help from AI


PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction


Patterning of morphogenetic anisotropy fields


Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations


Patterns of co-occurrent skills in UK job adverts


Patterns of primary beam non-redundancy in close-packed 21 cm array observations


Patterns versus Characters in Subword-aware Neural Language Modeling


Pauli Decomposition via the Fast Walsh-Hadamard Transform


Pauli error estimation via Population Recovery


PauliComposer: Compute Tensor Products of Pauli Matrices Efficiently


Paulihedral: A Generalized Block-Wise Compiler Optimization Framework For Quantum Simulation Kernels


PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation


Pavlok-Nudge: A Feedback Mechanism for Atomic Behaviour Modification with Snoring Usecase


Pawpyseed: Perturbation-extrapolation band shifting corrections for point defect calculations


Paxion: Patching Action Knowledge in Video-Language Foundation Models


Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning


Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning


Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation


Pay Attention to Your Tone: Introducing a New Dataset for Polite Language Rewrite


Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script


Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing


Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks


Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL


Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks


Paying Attention to Multi-Word Expressions in Neural Machine Translation


Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model


Payoff landscapes and the robustness of selfish optimization in iterated games


PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design


Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity


PclGPT: A Large Language Model for Patronizing and Condescending Language Detection


Pcodec: Better Compression for Numerical Sequences


PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning


PeFLL: Personalized Federated Learning by Learning to Learn


PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging


PeLiCal: Targetless Extrinsic Calibration via Penetrating Lines for RGB-D Cameras with Limited Co-visibility


PeQES: A Platform for Privacy-enhanced Quantitative Empirical Studies


PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network


PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description


PeRFception: Perception using Radiance Fields


PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator


PeTar: a high-performance N-body code for modeling massive collisional stellar systems


PeTra: A Sparsely Supervised Memory Model for People Tracking


PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives


PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software


PeaTMOSS: Mining Pre-Trained Models in Open-Source Software


Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks


Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning


Peak Estimation for Uncertain and Switched Systems


Peak Estimation of Time Delay Systems using Occupation Measures


Peak Inference for Gaussian Random Fields on a Lattice


Peak Value-at-Risk Estimation of Stochastic Processes using Occupation Measures


PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples


Pearl: A Production-ready Reinforcement Learning Agent


Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset


Pearl: Parallel Evolutionary and Reinforcement Learning Library


PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian Detection


PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation


Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs


Pedestrian Alignment Network for Large-scale Person Re-identification


Pedestrian Attribute Recognition as Label-balanced Multi-label Learning


Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis


Pedestrian Collision Avoidance System for Scenarios with Occlusions


Pedestrian Environment Model for Automated Driving


Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning


Pedestrian mobility citizen science complements expert mapping for enhancing inclusive neighborhood placemaking


Pedestrian motion prediction evaluation for urban autonomous driving


Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios


Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics


Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond


PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models


Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images


Pediatric Wrist Fracture Detection in X-rays via YOLOv10 Algorithm and Dual Label Assignment System


PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications


Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering


Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors


Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals


Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams


Peel-and-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams


Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training


Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks


Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations


Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment


Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions


Peer attention enhances student learning


Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing


Peer-to-Peer (P2P) Electricity Markets for Low Voltage Networks


PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor


PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks


PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale


PeerGuard: Defending Multi-Agent Systems Against Backdoor Attacks Through Mutual Reasoning


PeerQA: A Scientific Question Answering Dataset from Peer Reviews


PeerSwap: A Peer-Sampler with Randomness Guarantees


Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models


Peering into the black box: forward-modeling the uncertainty budget of high-resolution spectroscopy of exoplanet atmospheres


Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation


Pegasus: Sound Continuous Invariant Generation


Peirce in the Machine: How Mixture of Experts Models Perform Hypothesis Construction


PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets


Pen Spinning Hand Movement Analysis Using MediaPipe Hands


Pen and Paper Exercises in Machine Learning


Penalising the biases in norm regularisation enforces sparsity


Penalized Distributed Lag Interaction Model: Air Pollution, Birth Weight and Neighborhood Vulnerability


Penalized Linear Models for Highly Correlated High-Dimensional Immunophenotyping Data


Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem


Penalized function-on-function linear quantile regression


Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data


Penalized regression calibration: a method for the prediction of survival outcomes using complex longitudinal and high-dimensional data


Penalizing Unfairness in Binary Classification


Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation


Penalty Gradient Normalization for Generative Adversarial Networks


Penalty Method for Inversion-Free Deep Bilevel Optimization


Penalty decomposition derivative free method for the minimization of partially separable functions over a convex feasible set


Penalty-Induced Basis Exploration for Bayesian Splines


Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption


PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing


Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI


Pendant Drop Tensiometry: A Machine Learning Approach


Peng: A program for transport properties of low-density binary gas mixtures


Pengi: An Audio Language Model for Audio Tasks


Penny Wise and Pound Foolish: Quantifying the Risk of Unlimited Approval of ERC20 Tokens on Ethereum


Penny-Wise and Pound-Foolish in Deepfake Detection


Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination


Pentago is a First Player Win: Strongly Solving a Game Using Parallel In-Core Retrograde Analysis


Pentagon Functions for Scattering of Five Massless Particles


Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples


People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI


People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection


People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID


People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text


PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding


PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids


PepMLM: Target Sequence-Conditioned Generation of Therapeutic Peptide Binders via Span Masked Language Modeling


PepSIRF: a flexible and comprehensive tool for the analysis of data from highly-multiplexed DNA-barcoded peptide assays


Peptide Binding Classification on Quantum Computers


Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision


PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction


Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches


Per-Bank Bandwidth Regulation of Shared Last-Level Cache for Real-Time Systems


Per-Pixel Classification is Not All You Need for Semantic Segmentation