PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning


Playable Environments: Video Manipulation in Space and Time


PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach


Player Chemistry: Striving for a Perfectly Balanced Soccer Team


Playing 2048 With Reinforcement Learning


Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic


Playing Board Games with the Predict Results of Beam Search Algorithm


Playing Codenames with Language Graphs and Word Embeddings


Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks


Playing Large Games with Oracles and AI Debate


Playing Minecraft with Behavioural Cloning


Playing Music in Just Intonation - A Dynamically Adapting Tuning Scheme


Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents


Playing Non-Embedded Card-Based Games with Reinforcement Learning


Playing SNES in the Retro Learning Environment


Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning


Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text


Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques


Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization Challenge


Playing with Words at the National Library of Sweden -- Making a Swedish BERT


Playpen: An Environment for Exploring Learning Through Conversational Interaction


Please, Don't Forget the Difference and the Confidence Interval when Seeking for the State-of-the-Art Status


Pleiotropy robust methods for multivariable Mendelian randomization


Plenoxels: Radiance Fields without Neural Networks


Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network


PlotMap: Automated Layout Design for Building Game Worlds


Plotting the Differences Between Data and Expectation


PluGeN: Multi-Label Conditional Generation From Pre-Trained Models


PlueckerNet: Learn to Register 3D Line Reconstructions


Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC


Plug and Play Active Learning for Object Detection


Plug and Play Autoencoders for Conditional Text Generation


Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations


Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes


Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs


Plug-and-Play Acceleration of Occupancy Grid-based NeRF Rendering using VDB Grid and Hierarchical Ray Traversal


Plug-and-Play Algorithms for Video Snapshot Compressive Imaging


Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images


Plug-and-Play Document Modules for Pre-trained Models


Plug-and-Play Knowledge Injection for Pre-trained Language Models


Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration Models


Plug-and-Play Methods Provably Converge with Properly Trained Denoisers


Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents


Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models


Plug-and-Play Priors as a Score-Based Method


Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images


Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging


Plug-and-Play Regulators for Image-Text Matching


Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication


Plug-and-Play gradient-based denoisers applied to CT image enhancement


Plug-and-Play image restoration with Stochastic deNOising REgularization


Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference


Plug-in Diffusion Model for Sequential Recommendation


Plug-in estimation of Schrödinger bridges


Pluggable Neural Machine Translation Models via Memory-augmented Adapters


Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation


Plugin Networks for Inference under Partial Evidence


Plumber: A Modular Framework to Create Information Extraction Pipelines


PlumberNet: Fixing interference leakage after GEV beamforming


Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation


Plurality and Quantification in Graph Representation of Meaning


Plurals: A System for Guiding LLMs Via Simulated Social Ensembles


Plus Strategies are Exponentially Slower for Planted Optima of Random Height


Pluto: Motion Detection for Navigation in a VR Headset


PnP-3D: A Plug-and-Play for 3D Point Clouds


PnP-DETR: Towards Efficient Visual Analysis with Transformers


PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion


Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System


PoCaPNet: A Novel Approach for Surgical Phase Recognition Using Speech and X-Ray Images


PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis


PoE-World: Compositional World Modeling with Products of Programmatic Experts


PoET: A generative model of protein families as sequences-of-sequences


PoF: Post-Training of Feature Extractor for Improving Generalization


PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics


PoNA: Pose-guided Non-local Attention for Human Pose Transfer


PoNet: Pooling Network for Efficient Token Mixing in Long Sequences


PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image


PoPE: A population-based approach to model spatial structure of astronomical systems


PoPPy: A Point Process Toolbox Based on PyTorch


PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning


PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts


PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction


PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training


PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation


PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects


PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus


PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination


PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching


Pocket Guide to Solve Inverse Problems with GlobalBioIm


PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++


PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation


PocketVAE: A Two-step Model for Groove Generation and Control


PocketVina Enables Scalable and Highly Accurate Physically Valid Docking through Multi-Pocket Conditioning


PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing


PodAgent: A Comprehensive Framework for Podcast Generation


Podcast Summary Assessment: A Resource for Evaluating Summary Assessment Methods


PodcastMix: A dataset for separating music and speech in podcasts


PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation


Poet: Product-oriented Video Captioner for E-commerce


Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models


PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation


PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis


Poincare: Recommending Publication Venues via Treatment Effect Estimation


Poincaré Maps for Multiscale Physics Discovery and Nonlinear Floquet Theory


Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games


Point Anywhere: Directed Object Estimation from Omnidirectional Images


Point Cloud Augmentation with Weighted Local Transformations


Point Cloud Change Detection With Stereo V-SLAM:Dataset, Metrics and Baseline


Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space


Point Cloud Completion by Learning Shape Priors


Point Cloud Compression via Constrained Optimal Transport


Point Cloud Compression with Sibling Context and Surface Priors


Point Cloud Denoising via Momentum Ascent in Gradient Fields


Point Cloud Diffusion Models for Automatic Implant Generation


Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting


Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning


Point Cloud Network: An Order of Magnitude Improvement in Linear Layer Parameter Count


Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries


Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection


Point Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference Metric


Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder


Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations


Point Cloud Structural Similarity-based Underwater Sonar Loop Detection


Point Cloud Super Resolution with Adversarial Residual Graph Networks


Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction


Point Density-Aware Voxels for LiDAR 3D Object Detection


Point Fields of Last Passage Percolation and Coalescing Fractional Brownian Motions


Point Intervention: Improving ACVP Test Vector Generation Through Human Assisted Fuzzing


Point Neuron Learning: A New Physics-Informed Neural Network Architecture


Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation


Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding


Point Proposal Network: Accelerating Point Source Detection Through Deep Learning


Point Scene Understanding via Disentangled Instance Mesh Reconstruction


Point Source Identification Using Singularity Enriched Neural Networks


Point Spread Function Estimation of Defocus


Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge


Point Transformer V2: Grouped Vector Attention and Partition-based Pooling


Point and Ask: Incorporating Pointing into Visual Question Answering


Point and probabilistic forecast reconciliation for general linearly constrained multiple time series


Point detection through multi-instance deep heatmap regression for sutures in endoscopy


Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation


Point process models for sequence detection in high-dimensional neural spike trains


Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral


Point source localisation with unbalanced optimal transport


Point vortex dynamics in three-dimensional ageostrophic balanced flows


Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes


Point-Based Radiance Fields for Controllable Human Motion Synthesis


Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis


Point-Cloud Completion with Pretrained Text-to-image Diffusion Models


Point-Cloud Deep Learning of Porous Media for Permeability Prediction


Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning


Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions


Point-E: A System for Generating 3D Point Clouds from Complex Prompts


Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud


Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding


Point-Level Region Contrast for Object Detection Pre-Training


Point-Level Topological Representation Learning on Point Clouds


Point-NeRF: Point-based Neural Radiance Fields


Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis


Point-Query Quadtree for Crowd Counting, Localization, and More


Point-SAM: Promptable 3D Segmentation Model for Point Clouds


Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation


Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation


Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition


Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification


Point-Wise Vibration Pattern Production via a Sparse Actuator Array for Surface Tactile Feedback


Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding


Point-coupling Hamiltonian for frequency-independent linear optical devices


Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence


Point-of-Interest Type Prediction using Text and Images


Point-particle drag, lift, and torque closure models using machine learning: hierarchical approach and interpretability


Point-set Distances for Learning Representations of 3D Point Clouds


Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting


Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport


Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances


Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud


Point2Seq: Detecting 3D Objects as Sequences


Point2Vec for Self-Supervised Representation Learning on Point Clouds


PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack


PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection


PointAR: Efficient Lighting Estimation for Mobile Augmented Reality


PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling


PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points


PointAttN: You Only Need Attention for Point Cloud Completion


PointAugment: an Auto-Augmentation Framework for Point Cloud Classification


PointAvatar: Deformable Point-based Head Avatars from Videos


PointCAT: Cross-Attention Transformer for point cloud


PointCFormer: a Relation-based Progressive Feature Extraction Network for Point Cloud Completion


PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning


PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration


PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning


PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds


PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding


PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global Features


PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation


PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model


PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency


PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection


PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud


PointFISH -- learning point cloud representations for RNA localization patterns


PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation


PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation


PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis


PointGMM: a Neural GMM Network for Point Clouds


PointGPT: Auto-regressively Generative Pre-training from Point Clouds


PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention


PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation


PointINet: Point Cloud Frame Interpolation Network


PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation


PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery


PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning


PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration


PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition


PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing


PointMixup: Augmentation for Point Clouds


PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark


PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies


PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets


PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds


PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition


PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds


PointNorm: Dual Normalization is All You Need for Point Cloud Analysis


PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection


PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction


PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training


PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images


PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling


PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion


PointScatter: Point Set Representation for Tubular Structure Extraction


PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points


PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees


PointTriNet: Learned Triangulation of 3D Point Sets


PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation


PointVector: A Vector Representation In Point Cloud Analysis


Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!


Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness


Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation


Pointless Continuous Spatial Surface Reconstruction


Pointless Global Bundle Adjustment With Relative Motions Hessians


Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck


Points for Energy Renovation (PointER): A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics


Points2NeRF: Generating Neural Radiance Fields from 3D point cloud


Points2Sound: From mono to binaural audio using 3D point cloud scenes


Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes


Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs


Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee


PoisFFT - A Free Parallel Fast Poisson Solver


Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder


Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems


Poison-splat: Computation Cost Attack on 3D Gaussian Splatting


PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation


PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models


Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection


PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models


Poisoning Attack against Estimating from Pairwise Comparisons


Poisoning Attacks on Algorithmic Fairness


Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios


Poisoning Language Models During Instruction Tuning


Poisoning Retrieval Corpora by Injecting Adversarial Passages


Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh


Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates


Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering


Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI


Poisson Phase Retrieval in Very Low-count Regimes


Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning


Poisson approximate likelihood compared to the particle filter


Poisson maps between character varieties: gluing and capping


Poisson multi-Bernoulli mixture filter with general target-generated measurements and arbitrary clutter


Poisson-FOCuS: An efficient online method for detecting count bursts with application to gamma ray burst detection


Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees


Poisson-Randomized Gamma Dynamical Systems


Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image


PokAR: Facilitating Poker Play Through Augmented Reality


PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models


PokeMQA: Programmable knowledge editing for Multi-hop Question Answering


PokerBench: Training Large Language Models to become Professional Poker Players


PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations


PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model


PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain


PolSF: PolSAR image dataset on San Francisco


Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization


Polar Dust, Nuclear Obscuration and IR SED Diversity in Type-1 AGNs


Polar Interpolants for Thin-Shell Microstructure Homogenization


Polar Parametrization for Vision-based Surround-View 3D Detection


Polar R-CNN: End-to-End Lane Detection with Fewer Anchors


Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity


Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations


PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View


PolarFormer: Multi-camera 3D Object Detection with Polar Transformer


PolarFree: Polarization-based Reflection-free Imaging


PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds


Polarimetric Convolutional Network for PolSAR Image Classification


Polarimetric Inverse Rendering for Transparent Shapes Reconstruction


Polarimetric Light Transport Analysis for Specular Inter-reflection


Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio Telescopes


Polariton-induced Purcell effects via a reduced semiclassical electrodynamics approach


Polarity Calibration for Opinion Summarization


Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values


Polarity is all you need to learn and transfer faster


Polarizabilities from kaon Compton scattering


Polarization Guided Specular Reflection Separation


Polarization Multi-Image Synthesis with Birefringent Metasurfaces


Polarization analysis of the VLTI and GRAVITY


Polarization and multiscale structural balance in signed networks


Polarization and reliability of news sources in Wikipedia


Polarization fraction of Planck Galactic cold clumps and forecasts for the Simons Observatory


Polarization measurement for the dileptonic channel of $W^+ W^-$ scattering using generative adversarial network


Polarization of Charged Spherical Dielectric Core-Shell


Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion


Polarizations of abelian varieties over finite fields via canonical liftings


Polarized $J/ψ$ production in semi-inclusive DIS at large $Q^2$: Comparing quark fragmentation and photon-gluon fusion


Polarized Reflection Removal with Perfect Alignment in the Wild


Polarized TMD fragmentation functions for $J/ψ$ production


Polarized consensus-based dynamics for optimization and sampling


Polarized radiation from an accretion shock in accreting millisecond pulsars using exact Compton scattering formalism


Polarized scattered light from self-luminous exoplanets. Three-dimensional scattering radiative transfer with ARTES


Pole-fitting for complex functions: enhancing standard techniques by artificial-neural-network classifiers and regressors


Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios


PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs (Journal Version)


Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO


Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms


Policy Bifurcation in Safe Reinforcement Learning


Policy Constraint by Only Support Constraint for Offline Reinforcement Learning


Policy Continuation with Hindsight Inverse Dynamics


Policy Contrastive Decoding for Robotic Foundation Models


Policy Design for Two-sided Platforms with Participation Dynamics


Policy Design in Long-Run Welfare Dynamics


Policy Evaluation in Decentralized POMDPs with Belief Sharing


Policy Evaluation with Latent Confounders via Optimal Balance


Policy Expansion for Bridging Offline-to-Online Reinforcement Learning


Policy Filtration in RLHF to Fine-Tune LLM for Code Generation


Policy Gradient Methods in the Presence of Symmetries and State Abstractions


Policy Gradient Optimal Correlation Search for Variance Reduction in Monte Carlo simulation and Maximum Optimal Transport


Policy Gradient for Robust Markov Decision Processes


Policy Gradient in Robust MDPs with Global Convergence Guarantee


Policy Improvement using Language Feedback Models


Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning


Policy Iterations for Reinforcement Learning Problems in Continuous Time and Space -- Fundamental Theory and Methods


Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories


Policy Learning for Balancing Short-Term and Long-Term Rewards


Policy Learning for Individualized Treatment Regimes on Infinite Time Horizon


Policy Learning for Off-Dynamics RL with Deficient Support


Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems


Policy Learning with Adaptively Collected Data


Policy Learning with a Language Bottleneck


Policy Optimization Through Approximate Importance Sampling


Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes


Policy Optimization in RLHF: The Impact of Out-of-preference Data


Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control


Policy Optimization over Submanifolds for Linearly Constrained Feedback Synthesis


Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems


Policy Optimization with Second-Order Advantage Information


Policy Patterns for Usage Control in Data Spaces


Policy Poisoning in Batch Reinforcement Learning and Control


Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling


Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods


Policy Regularization with Dataset Constraint for Offline Reinforcement Learning


Policy Representation via Diffusion Probability Model for Reinforcement Learning


Policy Search with Rare Significant Events: Choosing the Right Partner to Cooperate with


Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning


Policy Testing with MDPFuzz (Replicability Study)


Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding


Policy Transfer via Kinematic Domain Randomization and Adaptation


Policy choices can help keep 4G and 5G universal broadband affordable


Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation


Policy-Adaptive Estimator Selection for Off-Policy Evaluation


Policy-Aware Model Learning for Policy Gradient Methods


Policy-Aware Unbiased Learning to Rank for Top-k Rankings


Policy-Based Self-Competition for Planning Problems


Policy-GNN: Aggregation Optimization for Graph Neural Networks


Policy-Gradient Training of Fair and Unbiased Ranking Functions


Policy-Guided Heuristic Search with Guarantees


Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction


Policy-regularized Offline Multi-objective Reinforcement Learning


PolicyQA: A Reading Comprehension Dataset for Privacy Policies


Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean


Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models


Politeness Transfer: A Tag and Generate Approach


Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections


Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models


Political Context of the European Vaccine Debate on Twitter


Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan


Political Neutrality in AI Is Impossible- But Here Is How to Approximate It


Political Popularity Analysis in Social Media


Political audience diversity and news reliability in algorithmic ranking


Political corpus creation through automatic speech recognition on EU debates


Political, economic, and governance attitudes of blockchain users


Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016


Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning


Polos: Multimodal Metric Learning from Human Feedback for Image Captioning


Poly Kernel Inception Network for Remote Sensing Detection


Poly-CAM: High resolution class activation map for convolutional neural networks


Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking


PolyBin3D: A Suite of Optimal and Efficient Power Spectrum and Bispectrum Estimators for Large-Scale Structure


PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit Augmentations


PolyCLEAN: Atomic Optimization for Super-Resolution Imaging and Uncertainty Estimation in Radio Interferometry


PolyChaos.jl -- A Julia Package for Polynomial Chaos in Systems and Control


PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models


PolyFold: an interactive visual simulator for distance-based protein folding


PolyFormer: Referring Image Segmentation as Sequential Polygon Generation


PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer


PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds


PolyGen: An Autoregressive Generative Model of 3D Meshes


PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset


PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature


PolyLM: Learning about Polysemy through Language Modeling


PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs


PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference


PolyLaneNet: Lane Estimation via Deep Polynomial Regression


PolyNet: A Pursuit of Structural Diversity in Very Deep Networks


PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation


PolyPIC: the Polymorphic-Particle-in-Cell Method for Fluid-Kinetic Coupling


PolyPose: Localizing Deformable Anatomy in 3D from Sparse 2D X-ray Images using Polyrigid Transforms


PolyQEnt: A Polynomial Quantified Entailment Solver


PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction


PolyRoom: Room-aware Transformer for Floorplan Reconstruction


PolyTO: Structural Topology Optimization using Convex Polygons


PolyTrack: Tracking with Bounding Polygons


PolyU-BPCoMa: A Dataset and Benchmark Towards Mobile Colorized Mapping Using a Backpack Multisensorial System


PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images


Polyak Minorant Method for Convex Optimization


Polyatomic Complexes: A topologically-informed learning representation for atomistic systems


Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation


Polychromatic X-ray CT Image Reconstruction and Mass-Attenuation Spectrum Estimation


Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls


Polygenic dynamics underlying the response of quantitative traits to directional selection


PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic Degeneration in Large Language Models


Polyglot Contextual Representations Improve Crosslingual Transfer


Polyglot Prompt: Multilingual Multitask PrompTraining


Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models


PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification


Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes


PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph


Polygonal Faber-Krahn inequality: Local minimality via validated computing


Polygonal Sequence-driven Triangulation Validator: An Incremental Approach to 2D Triangulation Verification


Polyhedral Complex Derivation from Piecewise Trilinear Networks


Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision


Polyhedral Mesh Quality Indicator for the Virtual Element Method


Polyhedral and Tropical Geometry of Flag Positroids


Polyhedral approach to weighted connected matchings in general graphs


Polyhedral approximation in mixed-integer convex optimization


Polyhedral approximations of Riemannian manifolds


Polyhedral geometry and combinatorics of an autocatalytic ecosystem


Polyhedral results and stronger Lagrangean bounds for stable spanning trees


PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph


Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models


Polylogarithmic motivic Chabauty-Kim for $\mathbb{P}^1 \setminus \{ 0,1,\infty \}$: the geometric step via resultants


Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark


Polymer informatics at-scale with multitask graph neural networks


Polymer networks which locally rotate to accommodate stresses, torques, and deformation


Polymorphic Encryption and Pseudonymisation of IP Network Flows


Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control


Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models


Polynomial Implicit Neural Representations For Large Diverse Datasets


Polynomial Neural Fields for Subband Decomposition and Manipulation


Polynomial Preconditioners for Regularized Linear Inverse Problems


Polynomial Preconditioning for the Action of the Matrix Square Root and Inverse Square Root


Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment


Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach


Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix


Polynomial Time Algorithms for Estimating Spectra of Adiabatic Hamiltonians


Polynomial Time Quantum Gibbs Sampling for Fermi-Hubbard Model at any Temperature


Polynomial tuning of multiparametric combinatorial samplers


Polynomial, trigonometric, and tropical activations


Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs


Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications


Polynomial-delay generation of functional digraphs up to isomorphism


Polynomial-time Sparse Measure Recovery: From Mean Field Theory to Algorithm Design


Polynomial-time algorithms for Multimarginal Optimal Transport problems with structure


Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection


Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion


Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers


Polyp-SAM: Transfer SAM for Polyp Segmentation


Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model


PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps


PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy


PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM


Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy


Polyphonic Sound Event Detection by using Capsule Neural Network


Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units


PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation


Polyply: a python suite for facilitating simulations of (bio-)macromolecules and nanomaterials


Polyth-Net: Classification of Polythene Bags for Garbage Segregation Using Deep Learning


Polytope: An Algorithm for Efficient Feature Extraction on Hypercubes


Pomegranate: fast and flexible probabilistic modeling in python


Pond: CXL-Based Memory Pooling Systems for Cloud Platforms


Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows


PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm


Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm


Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games


Pontryagin Optimal Control via Neural Networks


Pool samples to efficiently estimate pathogen prevalence dynamics


Pool-Based Sequential Active Learning for Regression


Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?


Pooling Strategies for Simplicial Convolutional Networks


Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference


Pop Music Highlighter: Marking the Emotion Keypoints


PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction


PopAlign: Population-Level Alignment for Fair Text-to-Image Generation


PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits


PopEval: A Character-Level Approach to End-To-End Evaluation Compatible with Word-Level Benchmark Dataset


PopNet: Real-Time Population-Level Disease Prediction with Data Latency


PopSED: Population-Level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation


PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources


PopSkipJump: Decision-Based Attack for Probabilistic Classifiers


Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness


Popularity Adjusted Block Models are Generalized Random Dot Product Graphs


Popularity Debiasing from Exposure to Interaction in Collaborative Filtering


Popularity Prediction on Social Platforms with Coupled Graph Neural Networks


Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation


Popularity and Innovation in Maven Central


Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias


Populating The Milky Way: Characterising Planet Demographics by Combining Galaxy Formation Simulations and Planet Population Synthesis Models


Population Aware Diffusion for Time Series Generation


Population Calibration using Likelihood-Free Bayesian Inference


Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups


Population Monte Carlo with Normalizing Flow


Population Power Curves in ASCA with Permutation Testing


Population Transformer: Learning Population-level Representations of Neural Activity


Population based change-point detection for the identification of homozygosity islands


Population network structure impacts genetic algorithm optimisation performance


Population-Guided Parallel Policy Search for Reinforcement Learning


Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning


Population-based Gradient Descent Weight Learning for Graph Coloring Problems


Population-based Optimization for Kinetic Parameter Identification in Glycolytic Pathway in Saccharomyces cerevisiae


Population-based de novo molecule generation, using grammatical evolution


Population-level Task-evoked Functional Connectivity via Fourier Analysis


Population-scale dietary interests during the COVID-19 pandemic


Population-scale testing can suppress the spread of infectious disease


Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer


Porous carbon nitride fullerenes: a novel family of porous cage molecules


Port-Hamiltonian Neural Networks with Output Error Noise Models


Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control


Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms?


Portable Real-Time Polarimeter for Partially and Fully Polarized Light


Portable-CELLxGENE: standalone executables of CELLxGENE for easy installation


Portably parallel construction of a CI wave function from a matrix-product state using the Charm++ framework


Portfolio Allocation under Asymmetric Dependence in Asset Returns using Local Gaussian Correlations


Portfolio Construction with Gaussian Mixture Returns and Exponential Utility via Convex Optimization


Portfolio Optimisation within a Wasserstein Ball


Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization


Portfolio Optimization with Feedback Strategies Based on Artificial Neural Networks


Portfolio optimisation: bridging the gap between theory and practice


Porting Batched Iterative Solvers onto Intel GPUs with SYCL


Porting HEP Parameterized Calorimeter Simulation Code to GPUs


Porting of eChronos RTOS on RISC-V Architecture


Portrait Diffusion: Training-free Face Stylization with Chain-of-Painting


Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data


Portrait Segmentation Using Deep Learning


Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior


Portraying Double Higgs at the Large Hadron Collider II


Portuguese Named Entity Recognition using BERT-CRF


PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer


PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition


PosSAM: Panoptic Open-vocabulary Segment Anything


Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition


Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion


Pose Flow: Efficient Online Pose Tracking


Pose Forecasting in Industrial Human-Robot Collaboration


Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation


Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment


Pose Induction for Novel Object Categories


Pose Invariant Person Re-Identification using Robust Pose-transformation GAN


Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers


Pose for Everything: Towards Category-Agnostic Pose Estimation


Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization


Pose-Based Sign Language Appearance Transfer


Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation


Pose-Driven Deep Models for Person Re-Identification


Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition


Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery


Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields


Pose-Normalized Image Generation for Person Re-identification


Pose-aware Attention Network for Flexible Motion Retargeting by Body Part


Pose-aware Multi-level Feature Network for Human Object Interaction Detection


Pose-based Modular Network for Human-Object Interaction Detection


Pose-disentangled Contrastive Learning for Self-supervised Facial Representation


Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer


Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification


Pose-guided Visible Part Matching for Occluded Person ReID


Pose-independent 3D Anthropometry from Sparse Data


Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction


Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia


Pose2RGBD. Generating Depth and RGB images from absolute positions


PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation


PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture


PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation


PoseBench3D: A Cross-Dataset Analysis Framework for 3D Human Pose Estimation


PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences


PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding


PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation


PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation


PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting


PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation


PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF


PoseGravity: Pose Estimation from Points and Lines with Axis Prior


PoseIt: A Visual-Tactile Dataset of Holding Poses for Grasp Stability Analysis


PoseLifter: Absolute 3D human pose lifting network from a single noisy 2D human pose


PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model


PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research


PoseRAC: Pose Saliency Transformer for Repetitive Action Counting


PoseScript: Linking 3D Human Poses and Natural Language


PoseSync: Robust pose based video synchronization


PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation


PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling


Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion


Poseidon: Efficient Foundation Models for PDEs


Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals


PoserNet: Refining Relative Camera Poses Exploiting Object Detections


Poseur: Direct Human Pose Regression with Transformers


PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit


Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?


Position Aware 60 GHz mmWave Beamforming for V2V Communications Utilizing Deep Learning


Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction


Position Focused Attention Network for Image-Text Matching


Position Regression for Unsupervised Anomaly Detection


Position and Altitude of the Nao Camera Head from Two Points on the Soccer Field plus the Gravitational Direction


Position and Rotation Invariant Sign Language Recognition from 3D Kinect Data with Recurrent Neural Networks


Position-Aware Subgraph Neural Networks with Data-Efficient Learning


Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models


Position-Guided Point Cloud Panoptic Segmentation Transformer


Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays


Position-Normal Manifold for Efficient Glint Rendering on High-Resolution Normal Maps


Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions


Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing


Position-dependent memory kernel in generalized Langevin equations: theory and numerical estimation


Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations


Position-guided Text Prompt for Vision-Language Pre-training


Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation


Position: AI Evaluation Should Learn from How We Test Humans


Position: Adopt Constraints Over Penalties in Deep Learning


Position: Enough of Scaling LLMs! Lets Focus on Downscaling


Position: Foundation Agents as the Paradigm Shift for Decision Making


Position: Graph Foundation Models are Already Here


Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs


Position: More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research


Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model Confidentiality


Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?


Position: Understanding LLMs Requires More Than Statistical Generalization


Positional Attention: Expressivity and Learnability of Algorithmic Computation


Positional Contrastive Learning for Volumetric Medical Image Segmentation


Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models


Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary


Positional Encoding in Transformer-Based Time Series Models: A Survey


Positional Encoding meets Persistent Homology on Graphs


Positional Encoding to Control Output Sequence Length


Positional Games and QBF: A Polished Encoding


Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning


Positional Prompt Tuning for Efficient 3D Representation Learning


Positional Value in Soccer: Expected League Points Added above Replacement


Positional encoding is not the same as context: A study on positional encoding for sequential recommendation


Positive 2-bridge knots and chirally cosmetic surgeries


Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties


Positive Hennessy-Milner Logic for Branching Bisimulation


Positive Label Is All You Need for Multi-Label Classification


Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification


Positive Sample Propagation along the Audio-Visual Event Line


Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization


Positive Steady-State Varieties of Small Chemical Reaction Networks


Positive Text Reframing under Multi-strategy Optimization


Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation when the SCAR assumption does not hold


Positive and Risky Message Assessment for Music Products


Positive and negative sampling strategies for self-supervised learning on audio-video data


Positive concave deep equilibrium models


Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimation


Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions


Positive semidefinite rank and nested spectrahedra


Positive unlabeled learning with tensor networks


Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation


Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization


Positive-Unlabeled Classification under Class-Prior Shift: A Prior-invariant Approach Based on Density Ratio Estimation


Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations


Positive-Unlabelled Learning for Identifying New Candidate Dietary Restriction-related Genes among Ageing-related Genes


Positive-instance driven dynamic programming for treewidth


Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs


Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations


Positivity preserving finite element method for the Gross-Pitaevskii ground state: discrete uniqueness and global convergence


Positivity violations in marginal structural survival models with time-dependent confounding: a simulation study on IPTW-estimator performance


Positivity-Preserving Adaptive Runge-Kutta Methods


Positivity-free Policy Learning with Observational Data


Possibilistic approach to network nonlocality


Possibility Before Utility: Learning And Using Hierarchical Affordances


Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios


Possible high $T_c$ Superconductivity in La$_3$Ni$_2$O$_7$ under High Pressure through Manifestation of a Nearly-Half-Filled Bilayer Hubbard Model


Possible indices for the Galois image of elliptic curves over Q


Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations


Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing


Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation


Post Training in Deep Learning with Last Kernel


Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization


Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment


Post-Disaster Repair Crew Assignment Optimization Using Minimum Latency


Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information


Post-Experiment Forensics and Human-in-the-Loop Interventions in Explainable Autonomous Scanning Probe Microscopy


Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations


Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts


Post-Hoc Reversal: Are We Selecting Models Prematurely?


Post-Lockdown Abatement of COVID-19 by Fast Periodic Switching


Post-OCR Document Correction with large Ensembles of Character Sequence-to-Sequence Models


Post-OCR Text Correction for Bulgarian Historical Documents


Post-Processing Temporal Action Detection


Post-Selection Confidence Bounds for Prediction Performance


Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources


Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios


Post-Training Dialogue Summarization using Pseudo-Paraphrasing


Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition


Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting


Post-Training Sparse Attention with Double Sparsity


Post-Training Statistical Calibration for Higher Activation Sparsity


Post-clustering Inference under Dependency


Post-editese: an Exacerbated Translationese


Post-hoc Bias Scoring Is Optimal For Fair Classification


Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings


Post-hoc Overall Survival Time Prediction from Brain MRI


Post-hoc Probabilistic Vision-Language Models


Post-hoc Reward Calibration: A Case Study on Length Bias


Post-hoc Uncertainty Calibration for Domain Drift Scenarios


Post-hoc Uncertainty Learning using a Dirichlet Meta-Model


Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations


Post-hoc and manifold explanations analysis of facial expression data based on deep learning


Post-main-sequence evolution of icy minor planets. III. water retention in dwarf planets and exo-moons and implications for white dwarf pollution


Post-pre-training for Modality Alignment in Vision-Language Foundation Models


Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learning


Post-processing for Fair Regression via Explainable SVD


Post-processing partitions to identify domains of modularity optimization


Post-selection inference for high-dimensional mediation analysis with survival outcomes


Post-selection inference with HSIC-Lasso


Post-selection-free preparation of high-quality physical qubits


Post-synaptic potential regularization has potential


Post-training Model Quantization Using GANs for Synthetic Data Generation


Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing


Post-training Quantization on Diffusion Models


Post-training for Deepfake Speech Detection


Post-transcriptional regulation across human tissues


PostMark: A Robust Blackbox Watermark for Large Language Models


PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting


Poster: Long PHP webshell files detection based on sliding window attention


Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications


Poster: Patient Community -- A Test Bed For Privacy Threat Analysis


Poster: SpiderSim: Multi-Agent Driven Theoretical Cybersecurity Simulation for Industrial Digitalization


Poster: libdebug, Build Your Own Debugger for a Better (Hello) World


PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM


PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout


PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation


PosterSum: A Multimodal Benchmark for Scientific Poster Summarization


Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds


Posterior Control of Blackbox Generation


Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance


Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization


Posterior Meta-Replay for Continual Learning


Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts


Posterior Ramifications of Prior Dependence Structures


Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks


Posterior SBC: Simulation-Based Calibration Checking Conditional on Data


Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel


Posterior Sampling for Deep Reinforcement Learning


Posterior Sampling for Image Restoration using Explicit Patch Priors


Posterior Sampling-based Online Learning for Episodic POMDPs


Posterior Uncertainty Quantification in Neural Networks using Data Augmentation


Posterior and Computational Uncertainty in Gaussian Processes


Posterior asymptotics of high-dimensional spiked covariance model with inverse-Wishart prior


Posterior sampling for inverse imaging problems on the sphere in seismology and cosmology


Posterior temperature optimized Bayesian models for inverse problems in medical imaging


Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration


Posthoc Verification and the Fallibility of the Ground Truth


Postmortem memory of public figures in news and social media


Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models


Poststack Seismic Data Preconditioning via Dynamic Guided Learning


PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification


Potential Anchoring for imbalanced data classification


Potential Applications of Quantum Computing at Los Alamos National Laboratory


Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classes


Potential Gravitational-wave and Gamma-ray Multi-messenger Candidate from Oct. 30, 2015


Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms


Potential Paradigm Shift in Hazard Risk Management: AI-Based Weather Forecast for Tropical Cyclone Hazards


Potential and Limitation of High-Frequency Cores and Caches


Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs


Potential for allocative harm in an environmental justice data tool


Potential long-term habitable conditions on planets with primordial H-He atmospheres


Potential theoretic approach to design of accurate formulas for function approximation in symmetric weighted Hardy spaces


Pothole Detection Based on Disparity Transformation and Road Surface Modeling


Pound: A ROS node for Reducing Delay and Jitter in Wireless Multi-Robot Networks


Power Allocation Algorithms for Massive MIMO Systems with Multi-Antenna Users


Power Bundle Adjustment for Large-Scale 3D Reconstruction


Power Consumption Variation over Activation Functions


Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach


Power Domain Sparse Dimensional Constellation Multiple Access (PD-SDCMA): A Novel PD-NOMA for More Access Users


Power Enhancement and Phase Transitions for Global Testing of the Mixed Membership Stochastic Block Model


Power Failure Cascade Prediction using Graph Neural Networks


Power Flow Balancing with Decentralized Graph Neural Networks


Power Grid Congestion Management via Topology Optimization with AlphaZero


Power Grid Reliability Estimation via Adaptive Importance Sampling


Power Law Graph Transformer for Machine Translation and Representation Learning


Power Line Aerial Image Restoration under dverse Weather: Datasets and Baselines


Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces


Power Spectrum Emulators from Neural Networks and Tree-Based Methods


Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning


Power analyses for stepped wedge designs with multivariate continuous outcomes


Power analysis for cluster randomized trials with continuous co-primary endpoints


Power and sample size calculations for testing the ratio of reproductive values in phylogenetic samples


Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint


Power considerations for generalized estimating equations analyses of four-level cluster randomized trials


Power of Cooperative Supervision: Multiple Teachers Framework for Enhanced 3D Semi-Supervised Object Detection


Power of Explanations: Towards automatic debiasing in hate speech detection


Power of Pre-Processing: Production Scheduling with Variable Energy Pricing and Power-Saving States


Power of sequential protocols in hidden quantum channel discrimination


Power series expansions for the planar monomer-dimer problem


Power side-channel leakage localization through adversarial training of deep neural networks


Power spectrum modelling of galaxy and radio intensity maps including observational effects


Power- and Fragmentation-aware Online Scheduling for GPU Datacenters


Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328 Microcontroller


Power-grid stability predictions using transferable machine learning


Power-law distribution in the number of confirmed COVID-19 cases


PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View


PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware


PowerDynamics.jl -- An experimentally validated open-source package for the dynamical analysis of power grids


PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs


PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems


PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems


PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems


PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations


PowerModelsADA: A Framework for Solving Optimal Power Flow using Distributed Algorithms


PowerNorm: Rethinking Batch Normalization in Transformers


PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization


PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station


PowerSpy: Location Tracking using Mobile Device Power Analysis


Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering


Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior


Powerformer: A Section-adaptive Transformer for Power Flow Adjustment


Powerformer: A Transformer with Weighted Causal Attention for Time-series Forecasting


Powerful Knockoffs via Minimizing Reconstructability


Powerful Partial Conjunction Hypothesis Testing via Conditioning


Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning


Powerful randomization tests for subgroup analysis


Powerful statistical inference for nested data using sufficient summary statistics


Powering Hidden Markov Model by Neural Network based Generative Models


Powering RCTs for marginal effects with GLMs using prognostic score adjustment


Powers of Magnetic Graph Matrix: Fourier Spectrum, Walk Compression, and Applications


Powershap: A Power-full Shapley Feature Selection Method


PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation


Pp OPF -- Pandapower Implementation of Three-phase Optimal Power Flow Model


Pr$εε$mpt: Sanitizing Sensitive Prompts for LLMs


PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation


PrIC3: Property Directed Reachability for MDPs


PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch


PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning with Android Raw GNSS Measurements


PrOnto: Language Model Evaluations for 859 Languages


PrUE: Distilling Knowledge from Sparse Teacher Networks


PraFFL: A Preference-Aware Scheme in Fair Federated Learning


PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation


Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages


Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint


Practical Adversarial Multivalid Conformal Prediction


Practical Algorithms for Orientations of Partially Directed Graphical Models


Practical Algorithms with Guaranteed Approximation Ratio for TTP with Maximum Tour Length Two


Practical Approximation Method for Firing Rate Models of Coupled Neural Networks with Correlated Inputs


Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer


Practical Automated Detection of Malicious npm Packages


Practical Bayesian Algorithm Execution via Posterior Sampling


Practical Bayesian Learning of Neural Networks via Adaptive Optimisation Methods


Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization


Practical Bayesian System Identification using Hamiltonian Monte Carlo


Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis


Practical Calculation of Gittins Indices for Multi-armed Bandits


Practical Compact Deep Compressed Sensing


Practical Comparable Data Collection for Low-Resource Languages via Images


Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions


Practical Considerations for Implementing Robust-to-Early Termination Model Predictive Control


Practical Cross-System Shilling Attacks with Limited Access to Data


Practical Crystallography with a Transmission Electron Microscope


Practical Deep Dispersed Watermarking with Synchronization and Fusion


Practical Deep Learning with Bayesian Principles


Practical Deep Raw Image Denoising on Mobile Devices


Practical Defences Against Model Inversion Attacks for Split Neural Networks


Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases


Practical Differentially Private and Byzantine-resilient Federated Learning


Practical Edge Detection via Robust Collaborative Learning


Practical Efficient Microservice Autoscaling with QoS Assurance


Practical Enclave Malware with Intel SGX


Practical End-to-End Optical Music Recognition for Pianoform Music


Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack


Practical Face Reconstruction via Differentiable Ray Tracing


Practical Guidelines for Data-driven Identification of Lifted Linear Predictors for Control


Practical Hash Functions for Similarity Estimation and Dimensionality Reduction


Practical Inexact Proximal Quasi-Newton Method with Global Complexity Analysis


Practical Kernel Tests of Conditional Independence


Practical Lossless Compression with Latent Variables using Bits Back Coding


Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study


Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging


Practical No-box Adversarial Attacks against DNNs


Practical One-Shot Federated Learning for Cross-Silo Setting


Practical Performative Policy Learning with Strategic Agents


Practical Perspectives on Symplectic Accelerated Optimization


Practical Pipeline-Aware Regression Test Optimization for Continuous Integration


Practical Precoding via Asynchronous Stochastic Successive Convex Approximation


Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning


Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling


Practical Program Repair via Preference-based Ensemble Strategy


Practical Quantum Computing: solving the wave equation using a quantum approach


Practical Quantum State Tomography for Gibbs states


Practical Quasi-Newton Methods for Training Deep Neural Networks


Practical Random Access to SLP-Compressed Texts


Practical Region-level Attack against Segment Anything Models


Practical Relative Order Attack in Deep Ranking


Practical Vectorial Mode Solver for Dielectric Waveguides Based on Finite Differences


Practical Verifiable In-network Filtering for DDoS defense


Practical Vertical Federated Learning with Unsupervised Representation Learning


Practical Whole-System Provenance Capture


Practical Wide-Angle Portraits Correction with Deep Structured Models


Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training


Practical and Asymptotically Exact Conditional Sampling in Diffusion Models


Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search


Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning


Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint


Practical and Private (Deep) Learning without Sampling or Shuffling


Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression


Practical and Verifiable Electronic Sortition


Practical and reliable error bars for quantum process tomography


Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node properties


Practical calibration of the temperature parameter in Gibbs posteriors


Practical considerations for variable screening in the super learner


Practical considerations on using private sampling for synthetic data


Practical data monitoring in the internet-services domain


Practical design of multi-channel oversampled warped cosine-modulated filter banks


Practical distributed quantum information processing with LOCCNet


Practical error bounds for properties in plane-wave electronic structure calculations


Practical evaluation of Lyndon factors via alphabet reordering


Practical graph signal sampling with log-linear size scaling


Practical implementation of geometric quasi-cyclic LDPC codes


Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networks


Practical limits on Nanosatellite Telescope Pointing: The Impact of Disturbances and Photon Noise


Practical methods for graph two-sample testing


Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models


Practical offloading for fine-tuning LLM on commodity GPU via learned sparse projectors


Practical optimal registration of terrestrial LiDAR scan pairs


Practical sensorless aberration estimation for 3D microscopy with deep learning


Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential


Practical, Reliable Error Bars in Quantum Tomography


PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization


Practically Solving LPN in High Noise Regimes Faster Using Neural Networks


Practically and Theoretically Efficient Garbage Collection for Multiversioning


Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers


Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction


Pragmatic Competence Evaluation of Large Language Models for the Korean Language


Pragmatic Fairness: Developing Policies with Outcome Disparity Control


Pragmatic Image Compression for Human-in-the-Loop Decision-Making


Pragmatic Inference with a CLIP Listener for Contrastive Captioning


Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning


Pragmatic Issue-Sensitive Image Captioning


Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models


Pragmatic factors in image description: the case of negations


Pragmatic inference and visual abstraction enable contextual flexibility during visual communication


Pragmatical physics-based model for ladle lifetime prediction


Pragmatically Informative Color Generation by Grounding Contextual Modifiers


Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments


Prak: An automatic phonetic alignment tool for Czech


Pralekha: An Indic Document Alignment Evaluation Benchmark


Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms


Prayatul Matrix: A Direct Comparison Approach to Evaluate Performance of Supervised Machine Learning Models


Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation


Pre-Calc: Learning to Use the Calculator Improves Numeracy in Language Models


Pre-Clustering Point Clouds of Crop Fields Using Scalable Methods


Pre-Common-Envelope Mass Loss from Coalescing Binary Systems


Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System


Pre-Equilibrium Evolution of Conserved Charges with ICCING Initial Conditions


Pre-Finetuning for Few-Shot Emotional Speech Recognition


Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following


Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers


Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors


Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster


Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding


Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation


Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation


Pre-Training LiDAR-Based 3D Object Detectors Through Colorization


Pre-Training Meta-Rule Selection Policy for Visual Generative Abductive Learning


Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering


Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction


Pre-Training a Graph Recurrent Network for Language Representation


Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials


Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information


Pre-Training on Dynamic Graph Neural Networks


Pre-analysis protocol for an observational study on the effects of adolescent sports participation on health in early adulthood


Pre-gen metrics: Predicting caption quality metrics without generating captions


Pre-merger localization of compact-binary mergers with third generation observatories


Pre-processing Image using Brightening, CLAHE and RETINEX


Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction


Pre-train and Learn: Preserve Global Information for Graph Neural Networks


Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders


Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation


Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models


Pre-train or Annotate? Domain Adaptation with a Constrained Budget


Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models


Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing


Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]


Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services


Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion


Pre-trained Language Models Can be Fully Zero-Shot Learners


Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts


Pre-trained Language Models as Prior Knowledge for Playing Text-based Games


Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law


Pre-trained Large Language Models for Financial Sentiment Analysis


Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness


Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?


Pre-trained Models for Natural Language Processing: A Survey


Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks


Pre-trained Perceptual Features Improve Differentially Private Image Generation


Pre-trained Recommender Systems: A Causal Debiasing Perspective


Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition


Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications


Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control


Pre-trained Token-replaced Detection Model as Few-shot Learner


Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners


Pre-trained Vision-Language Models Learn Discoverable Visual Concepts


Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization


Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision


Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese


Pre-training Large Memory Language Models with Internal and External Knowledge


Pre-training Multi-party Dialogue Models with Latent Discourse Inference


Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks


Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search


Pre-training Text-to-Text Transformers for Concept-centric Common Sense


Pre-training Time Series Models with Stock Data Customization


Pre-training Vision Transformers with Very Limited Synthesized Images


Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation


Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks


Pre-training for Action Recognition with Automatically Generated Fractal Datasets


Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need


Pre-training of Graph Augmented Transformers for Medication Recommendation


Pre-training on Synthetic Driving Data for Trajectory Prediction


Pre-training strategies and datasets for facial representation learning


Pre-training strategy using real particle collision data for event classification in collider physics


Pre-training technique to localize medical BERT and enhance biomedical BERT


Pre-training to Match for Unified Low-shot Relation Extraction


Pre-training via Denoising for Molecular Property Prediction


Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition


Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval


Pre-training with Random Orthogonal Projection Image Modeling


Pre-training with Synthetic Data Helps Offline Reinforcement Learning


Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning


PreAct: Prediction Enhances Agent's Planning Ability


PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment


PreBit -- A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin


PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality


PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling


PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation


PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing


PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search


PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time


PrePaMS: Privacy-Preserving Participant Management System for Studies with Rewards and Prerequisites


PrePrompt: Predictive prompting for class incremental learning


PreQuEL: Quality Estimation of Machine Translation Outputs in Advance


PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors


PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map


PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices


Prebiosignature Molecules Can Be Detected in Temperate Exoplanet Atmospheres with JWST


Preble: Efficient Distributed Prompt Scheduling for LLM Serving


Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability


Precedence-Constrained Winter Value for Effective Graph Data Valuation


Precipitation Prediction Using an Ensemble of Lightweight Learners


Precipitation nowcasting with generative diffusion models


Precise Benchmarking of Explainable AI Attribution Methods


Precise FWER Control for Gaussian Related Fields: Riding the SuRF to continuous land -- Part 1


Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer


Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs


Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology


Precise Null Pointer Analysis Through Global Value Numbering


Precise Task Formalization Matters in Winograd Schema Evaluations


Precise Time-Domain Asteroseismology and a Revised Target List for TESS Solar-Like Oscillators


Precise Unbiased Estimation in Randomized Experiments using Auxiliary Observational Data


Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information


Precise and Generalized Robustness Certification for Neural Networks


Precise and efficient modeling of stellar-activity-affected solar spectra using SOAP-GPU


Precise atom manipulation through deep reinforcement learning


Precise influence evaluation in complex networks


Precise localization of corneal reflections in eye images using deep learning trained on synthetic data


Precise near-infrared photometry, accounting for precipitable water vapour at SPECULOOS Southern Observatory


Precise predictions for same-sign W-boson scattering at the LHC


Precise spiking motifs in neurobiological and neuromorphic data


Precise timing of solar flare footpoint sources from mid-infrared observations


Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters


PreciseBugCollector: Extensible, Executable and Precise Bug-fix Collection


Precision Analysis of $\mathrm{^{12}C / ^{13}C}$ Ratios in Orion IRc2 Acetylene Isotopologues via $χ^2$ Fitting


Precision Anti-Cancer Drug Selection via Neural Ranking


Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding


Precision CMB constraints on eV-scale bosons coupled to neutrinos


Precision Calibration of Radio Interferometers for 21 cm Cosmology with No Redundancy and Little Knowledge of Antenna Beams and the Radio Sky


Precision Franck-Condon spectroscopy from highly-excited vibrational states


Precision Matrix Regularization in Sufficient Dimension Reduction for Improved Quadratic Discriminant Classification


Precision Oncology, Signaling Pathways Reprogramming and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics


Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection


Precision and accuracy of acoustic gunshot location in an urban environment


Precision at Scale: Domain-Specific Datasets On-Demand


Precision is not limited by the second law of thermodynamics


Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation


Precision measurement noise asymmetry and its annual modulation as a dark matter signature


Precision of Treatment Hierarchy: A Metric for Quantifying Certainty in Treatment Hierarchies from Network Meta-Analysis


Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model


Precision spectroscopy and frequency determination of the hyperfine components of the P(63) 4-4 transition of molecular iodine near 652 nm


Precision-Focused Reinforcement Learning Model for Robotic Object Pushing


Precision-based designs for sequential randomized experiments


Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis


Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans


Precomputing approach for a two-scale phase transition model


Precondition Inference for Peephole Optimizations in LLVM


Precondition and Effect Reasoning for Action Recognition


Preconditioned Chebyshev BiCG for parameterized linear systems


Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means


Preconditioned Least-Squares Petrov-Galerkin Reduced Order Models


Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations


Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity


Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version


Preconditioned Recycling Krylov subspace methods for self-adjoint problems


Preconditioned training of normalizing flows for variational inference in inverse problems


Preconditioner Design via the Bregman Divergence


Preconditioners for symmetrized Toeplitz and multilevel Toeplitz matrices


Preconditioning Kaczmarz method by sketching


Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors


Preconditioning techniques for generalized Sylvester matrix equations


Preconditioning the discrete dipole approximation


Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature


Precursor-of-Anomaly Detection for Irregular Time Series


Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation


PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines


PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction


Predator confusion is sufficient to evolve swarming behavior


Predicate Invention for Bilevel Planning


Predict and Interpret Health Risk using EHR through Typical Patients


Predict and Use Latent Patterns for Short-Text Conversation


Predict the Next Word: Humans exhibit uncertainty in this task and language models _____


Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers


Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images


Predict your Click-out: Modeling User-Item Interactions and Session Actions in an Ensemble Learning Fashion


Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model


Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting


Predict-and-recompute conjugate gradient variants


PredictChain: Empowering Collaboration and Data Accessibility for AI in a Decentralized Blockchain-based Marketplace


PredictaBoard: Benchmarking LLM Score Predictability


Predictability limit of partially observed systems


Predictability of localized plasmonic responses in nanoparticle assemblies


Predictability: Can the turning point and end of an expanding epidemic be precisely forecast?


Predictable Accelerator Design with Time-Sensitive Affine Types


Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization


Predictable patterns in planetary transit timing variations and transit duration variations due to exomoons


Predictable universally unique identification of sequential events on complex objects


Predicted Yield of Transits of Known Radial Velocity Exoplanets from the TESS Primary and Extended Missions


Predicted future fate of COSMOS galaxy protoclusters over 11 Gyr with constrained simulations


Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs


Predicting Adhesive Free Energies of Polymer--Surface Interactions with Machine Learning


Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence


Predicting Anchor Links between Heterogeneous Social Networks


Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets


Predicting Anti-Asian Hateful Users on Twitter during COVID-19


Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations


Predicting Arbitrary State Properties from Single Hamiltonian Quench Dynamics


Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings


Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides


Predicting B Cell Receptor Substitution Profiles Using Public Repertoire Data


Predicting Basin Stability of Power Grids using Graph Neural Networks


Predicting Bearings' Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry


Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall


Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks


Predicting Blossom Date of Cherry Tree With Support Vector Machine and Recurrent Neural Network


Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification


Predicting Branch Visits and Credit Card Up-selling using Temporal Banking Data


Predicting CO$_2$ Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks


Predicting COVID-19 Infections Using Multi-layer Centrality Measures in Population-scale Networks


Predicting Cascade Failures in Interdependent Urban Infrastructure Networks


Predicting Cascading Failures with a Hyperparametric Diffusion Model


Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution


Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions


Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates


Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation


Predicting Citi Bike Demand Evolution Using Dynamic Graphs


Predicting Clinical Outcome of Stroke Patients with Tractographic Feature


Predicting Clinical Trial Results by Implicit Evidence Integration


Predicting Code Coverage without Execution


Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness


Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning


Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks


Predicting Covid-19 EMS Incidents from Daily Hospitalization Trends


Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set


Predicting Decisions in Language Based Persuasion Games


Predicting Declension Class from Form and Meaning


Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing


Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks


Predicting Directionality in Causal Relations in Text


Predicting Discourse Trees from Transformer-based Neural Summarizers


Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model


Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings


Predicting Dynamics on Networks Hardly Depends on the Topology


Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Language


Predicting Failure of P2P Lending Platforms through Machine Learning: The Case in China


Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting


Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning


Predicting Fine-Tuning Performance with Probing


Predicting First Impressions with Deep Learning


Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation


Predicting Flow Reversals in a Computational Fluid Dynamics Simulated Thermosyphon using Data Assimilation


Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet


Predicting Future Actions of Reinforcement Learning Agents


Predicting Future Mosquito Larval Habitats Using Time Series Climate Forecasting and Deep Learning


Predicting GPS-based PWV Measurements Using Exponential Smoothing


Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification


Predicting Global HRTFs From Scanned Head Geometry Using Deep Learning and Compact Representations


Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning


Predicting Growth Rate from Gene Expression


Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context


Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach


Predicting Health Indicators for Open Source Projects (using Hyperparameter Optimization)


Predicting High-magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks


Predicting House Rental Prices in Ghana Using Machine Learning


Predicting Human Brain States with Transformer


Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking


Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model


Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion


Predicting IPv4 Services Across All Ports


Predicting Individualized Effects of Internet-Based Treatment for Genito-Pelvic Pain/Penetration Disorder: Development and Internal Validation of a Multivariable Decision Tree Model


Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data


Predicting Infectiousness for Proactive Contact Tracing


Predicting Information Pathways Across Online Communities


Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning


Predicting Job Titles from Job Descriptions with Multi-label Text Classification


Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning


Predicting Knowledge Gain for MOOC Video Consumption


Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data


Predicting Landsat Reflectance with Deep Generative Fusion


Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach


Predicting Legal Proceedings Status: Approaches Based on Sequential Text Data


Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace


Predicting Livelihood Indicators from Community-Generated Street-Level Imagery


Predicting Long-Term Allograft Survival in Liver Transplant Recipients


Predicting Long-Term Citations from Short-Term Linguistic Influence


Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network