PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization


PRNU Estimation from Encoded Videos Using Block-Based Weighting


PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models


PSGSL: A Probabilistic Framework Integrating Semantic Scene Understanding and Gas Sensing for Gas Source Localization


PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding


PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions


PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model


PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks


PTaRL: Prototype-based Tabular Representation Learning via Space Calibration


PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising


PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators


PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling


PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning


PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images


PURIFY: a new approach to radio-interferometric imaging


PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection


PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction


PViT-6D: Overclocking Vision Transformers for 6D Pose Estimation with Confidence-Level Prediction and Pose Tokens


PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction


PYG4OMETRY: a Python library for the creation of Monte Carlo radiation transport physical geometries


PaLI-3 Vision Language Models: Smaller, Faster, Stronger


PaLI-X: On Scaling up a Multilingual Vision and Language Model


PaLM-E: An Embodied Multimodal Language Model


Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels


Packet Speed and Cost in Mobile Wireless Delay-Tolerant Networks


Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings


Paired 3D Model Generation with Conditional Generative Adversarial Networks


Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention


PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model


PanGu-Coder: Program Synthesis with Function-Level Language Modeling


PanRep: Graph neural networks for extracting universal node embeddings in heterogeneous graphs


PandaGPT: One Model To Instruction-Follow Them All


Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness


Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection


Panoptic Lifting for 3D Scene Understanding with Neural Fields


Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired


Pansharpening via Detail Injection Based Convolutional Neural Networks


ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds


ParaSail: A Pointer-Free Pervasively-Parallel Language for Irregular Computations


Parafermionic edge zero modes in Z_n-invariant spin chains


Paragraph-level Commonsense Transformers with Recurrent Memory


Parallel $k$-Core Decomposition: Theory and Practice


Parallel ADMM for robust quadratic optimal resource allocation problems


Parallel Architecture and Hyperparameter Search via Successive Halving and Classification


Parallel Iterative Edit Models for Local Sequence Transduction


Parallel Maximum Clique Algorithms with Applications to Network Analysis and Storage


Parallel Recursive State Compression for Free


Parallel Structures in Pre-training Data Yield In-Context Learning


Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization


Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling


Parallel Training of Deep Networks with Local Updates


Parallel and distributed asynchronous adaptive stochastic gradient methods


Parallel approach to sliding window sums


Parallel contact-aware simulations of deformable particles in 3D Stokes flow


Parallel multi-scale reduction of persistent homology filtrations


Parallel training of DNNs with Natural Gradient and Parameter Averaging


Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning


Parallelizing Legendre Memory Unit Training


Parallelizing MCMC via Weierstrass Sampler


Parallelizing Over Artificial Neural Network Training Runs with Multigrid


Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models


Parameter estimation in a subcritical percolation model with colouring


Parameter-Agnostic Optimization under Relaxed Smoothness


Parameter-efficient Model Adaptation for Vision Transformers


Parameterized Knowledge Transfer for Personalized Federated Learning


Parameterized Machine Learning for High-Energy Physics


Parameterized quantum circuits as machine learning models


Parametric Design of Underwater Optical Systems


Parametric Gaussian Process Regression for Big Data


Parametric Instance Classification for Unsupervised Visual Feature Learning


Parametric shortest-path algorithms via tropical geometry


Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies


Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space


Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition


Parity Games: Zielonka's Algorithm in Quasi-Polynomial Time


Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization


Parser Extraction of Triples in Unstructured Text


Parseval Networks: Improving Robustness to Adversarial Examples


Parsing Geometry Using Structure-Aware Shape Templates


Part-Guided Attention Learning for Vehicle Instance Retrieval


Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment


Part-dependent Label Noise: Towards Instance-dependent Label Noise


Partial Key Grouping: Load-Balanced Partitioning of Distributed Streams


Partial Optimal Transport with Applications on Positive-Unlabeled Learning


Partial facial reduction: simplified, equivalent SDPs via approximations of the PSD cone


Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting


Partially-Connected Hybrid Beamforming for Spectral Efficiency Maximization via a Weighted MMSE Equivalence


Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift


Particle Physics Models for the 17 MeV Anomaly in Beryllium Nuclear Decays


Partitioning the Outburst Energy of a Low Eddington Accretion Rate AGN at the Center of an Elliptical Galaxy: the Recent 12 Myr History of the Supermassive Black Hole in M87


Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks


Pascal conductance series in ballistic one-dimensional LaAlO$_3$/SrTiO$_3$ channels


PassGAN: A Deep Learning Approach for Password Guessing


Passport: Enabling Accurate Country-Level Router Geolocation using Inaccurate Sources


Patch-VQ: 'Patching Up' the Video Quality Problem


Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification


Patch-level Gaze Distribution Prediction for Gaze Following


PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection


PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking


PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation


Path ORAM: An Extremely Simple Oblivious RAM Protocol


Path Planning Algorithms for a Car-Like Robot visiting a set of Waypoints with Field of View Constraints


Path Ranking with Attention to Type Hierarchies


Path-Restore: Learning Network Path Selection for Image Restoration


Path-aware Siamese Graph Neural Network for Link Prediction


PathNet: Evolution Channels Gradient Descent in Super Neural Networks


Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning


Pathway Tools version 28.0: Integrated Software for Pathway/Genome Informatics and Systems Biology


Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning


Pattern graphs: a graphical approach to nonmonotone missing data


Patterns of authors contribution in scientific manuscripts


Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation


Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series


Paxos Made EPR: Decidable Reasoning about Distributed Protocols


Paxos vs Raft: Have we reached consensus on distributed consensus?


PeRView: A Framework for Personalized Review Selection Using Micro-Reviews


Peak Age of Information Distribution in Tandem Queue Systems


Pecan: An Automated Theorem Prover for Automatic Sequences using Büchi Automata


Pedestrian Detection in Thermal Images using Saliency Maps


Pedestrian Detection with Autoregressive Network Phases


Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond


Peeking into occluded joints: A novel framework for crowd pose estimation


PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction


Peer Collaborative Learning for Online Knowledge Distillation


Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery


PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks


Pegasus: The second connectivity graph for large-scale quantum annealing hardware


PenRed: An extensible and parallel Monte-Carlo framework for radiation transport based on PENELOPE


Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression


Penalty-based spatial smoothing and outlier detection for childhood obesity surveillance from electronic health records


Pentagon functions for massless planar scattering amplitudes


PentestGPT: An LLM-empowered Automatic Penetration Testing Tool


Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment


PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets


Perceptual Extreme Super Resolution Network with Receptive Field Block


Perceptual Grouping in Contrastive Vision-Language Models


Perceptual Image Quality Assessment with Transformers


Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models


Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach


Percolation Computation in Complex Networks


Percolation and Epidemic Processes in One-Dimensional Small-World Networks


Percolation in the two-dimensional Ising model


Percolation thresholds on high dimensional $D_n$ and dense packing lattices


PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis


Perfect Matchings in O(n \log n) Time in Regular Bipartite Graphs


Perfect Numbers in the Ring of Eisenstein Integers


Performance Prediction Recipes for Optical Links


Performance and characterization of the SPT-3G digital frequency-domain multiplexed readout system using an improved noise and crosstalk model


Performance of Superconducting Quantum Computing Chips under Different Architecture Design


Performance of coherent-state quantum target detection in the context of asymmetric hypothesis testing


Performance of the LABDOS01 spectrometer in dosimetric measurements


Performance of variable and function selection methods for estimating the non-linear health effects of correlated chemical mixtures: a simulation study


Performing Quantum Computing Experiments in the Cloud


Perfusion Imaging: A Data Assimilation Approach


PeriPy -- A High Performance OpenCL Peridynamics Package


Periodic Eclipses of the Young Star PDS 110 Discovered with WASP and KELT Photometry


Periodic particle arrangements using standing acoustic waves


Periodically Exchange Teacher-Student for Source-Free Object Detection


Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention


Permissionless and Asynchronous Asset Transfer [Technical Report]


Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds


Permutation-Based Causal Structure Learning with Unknown Intervention Targets


Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning


PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark


Perseus: Randomized Point-based Value Iteration for POMDPs


Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo


Person Re-identification by Contour Sketch under Moderate Clothing Change


Person Re-identification by Local Maximal Occurrence Representation and Metric Learning


Person Search with Natural Language Description


Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud


PersonNet: Person Re-identification with Deep Convolutional Neural Networks


Personal Attribute Prediction from Conversations


Personalized Autonomous Driving with Large Language Models: Field Experiments


Personalized Dialogue Generation with Diversified Traits


Personalized Federated Learning via Variational Bayesian Inference


Personalized News Recommendation with Knowledge-aware Interactive Matching


Personalized Radiotherapy Design for Glioblastoma Using Mathematical Models, Multimodal Scans and Bayesian Inference


Personalizing ASR for Dysarthric and Accented Speech with Limited Data


Personalizing Similar Product Recommendations in Fashion E-commerce


Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical Data


Perturbation Robust Representations of Topological Persistence Diagrams


Perturbed Amplitude Flow for Phase Retrieval


PetFace: A Large-Scale Dataset and Benchmark for Animal Identification


Phantom: Subject-consistent video generation via cross-modal alignment


Phase Retrieval Using Conditional Generative Adversarial Networks


Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging


Phase Transitions, Distance Functions, and Implicit Neural Representations


Phase diagram for two-layer ReLU neural networks at infinite-width limit


Phase field crystal model for heterostructures


Phase trajectories of linear homogeneous autonomous dynamical systems of the third order


Phase transformation-induced superconducting aluminium-silicon alloy rings


Phase transitions and self-organized criticality in networks of stochastic spiking neurons


Phase transitions of wave packet dynamics in disordered non-Hermitian systems


Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery


Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net


Phenomenology of the Deuteron Electromagnetic Form Factors


Phoneme Boundary Detection using Learnable Segmental Features


Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions


Photo-Sketching: Inferring Contour Drawings from Images


Photo-astrometric distances, extinctions, and astrophysical parameters for Gaia DR2 stars brighter than G = 18


PhotoShape: Photorealistic Materials for Large-Scale Shape Collections


PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models


Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog


Photometric single-view dense 3D reconstruction in endoscopy


Photometry of Very Bright Stars with Kepler and K2 Smear Data


Photon blockade in weakly-driven cavity QED systems with many emitters


Photon propagation through dissipative Rydberg media at large input rates


Photon-Starved Scene Inference using Single Photon Cameras


Photons in the proton: implications for the LHC


Photorealistic Facial Texture Inference Using Deep Neural Networks


Photorealistic Style Transfer via Wavelet Transforms


Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles


PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems


PhyX: Does Your Model Have the "Wits" for Physical Reasoning?


PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos


Physical Distance Between Quantum States


Physical Layer Encryption using a Vernam Cipher


Physical qubit calibration on a directed acyclic graph


Physically Adversarial Infrared Patches with Learnable Shapes and Locations


Physically consistent numerical solver for time-dependent Fokker-Planck equations


Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations


Physics of Eclipsing Binaries. III. Spin-Orbit Misalignment


Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture


Physics-Informed Neural Networks for Non-linear System Identification for Power System Dynamics


Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video


Physics-based Noise Modeling for Extreme Low-light Photography


Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics


Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries


Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators


Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries


Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion


Physiological and Affective Computing through Thermal Imaging: A Survey


Physion: Evaluating Physical Prediction from Vision in Humans and Machines


PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection


Picket: Guarding Against Corrupted Data in Tabular Data during Learning and Inference


Pileup Mitigation with Machine Learning (PUMML)


Pioneer Networks: Progressively Growing Generative Autoencoder


Pipe dream complexes and triangulations of root polytopes belong together


PipeDream: Fast and Efficient Pipeline Parallel DNN Training


Piracy Resistant Watermarks for Deep Neural Networks


Pisces: Efficient Federated Learning via Guided Asynchronous Training


Pitfalls of Graph Neural Network Evaluation


Pix2NeRF: Unsupervised Conditional $π$-GAN for Single Image to Neural Radiance Fields Translation


Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images


Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling


PixLore: A Dataset-driven Approach to Rich Image Captioning


Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation


Pixel-Wise Motion Deblurring of Thermal Videos


Pixel-wise Conditioning of Generative Adversarial Networks


Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation


PixelHacker: Image Inpainting with Structural and Semantic Consistency


PixelLM: Pixel Reasoning with Large Multimodal Model


Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time


PlaNet - Photo Geolocation with Convolutional Neural Networks


PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks


Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning


Plan-Structured Deep Neural Network Models for Query Performance Prediction


Plan2Vec: Unsupervised Representation Learning by Latent Plans


Planck 2018 results. I. Overview and the cosmological legacy of Planck


Planck 2018 results. III. High Frequency Instrument data processing and frequency maps


PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image


Planning for Risk-Aversion and Expected Value in MDPs


Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks


Plant 'n' Seek: Can You Find the Winning Ticket?


Planted Hitting Set Recovery in Hypergraphs


PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator


PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning


Playing Doom with SLAM-Augmented Deep Reinforcement Learning


Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning


Playing a Part: Speaker Verification at the Movies


Playing hard exploration games by watching YouTube


Playing with Matches: Vehicular Mobility through Analysis of Trip Similarity and Matching


Please Forget Where I Was Last Summer: The Privacy Risks of Public Location (Meta)Data


Plot and Rework: Modeling Storylines for Visual Storytelling


Plot2Spectra: an Automatic Spectra Extraction Tool


Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space


Plug-and-Play Adaptation for Continuously-updated QA


Plug-and-Play Tri-Branch Invertible Block for Image Rescaling


Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation


Plug-and-play ISTA converges with kernel denoisers


Plugin Estimation of Smooth Optimal Transport Maps


PoCET: a Polynomial Chaos Expansion Toolbox for Matlab


PocketNet: A Smaller Neural Network for Medical Image Analysis


Point Convolutional Neural Networks by Extension Operators


Point Set Voting for Partial Point Cloud Analysis


Point process models for sweat gland activation observed with noise


Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training


Point2Skeleton: Learning Skeletal Representations from Point Clouds


PointCutMix: Regularization Strategy for Point Cloud Classification


PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation


PointHop: An Explainable Machine Learning Method for Point Cloud Classification


Poison Ink: Robust and Invisible Backdoor Attack


PolarMask: Single Shot Instance Segmentation with Polar Representation


Polarity Loss for Zero-shot Object Detection


Policy Analysis using Synthetic Controls in Continuous-Time


Policy Consolidation for Continual Reinforcement Learning


Policy Decomposition: Approximate Optimal Control with Suboptimality Estimates


Policy Implications of Statistical Estimates: A General Bayesian Decision-Theoretic Model for Binary Outcomes


Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning


Polite Dialogue Generation Without Parallel Data


Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models


Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship


Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19


Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis


PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives


Polygonal Building Segmentation by Frame Field Learning


Polyhedral Properties of the Induced Cluster Subgraphs


Polynomial Time Cryptanalytic Extraction of Neural Network Models


Polynomial algorithms for p-dispersion problems in a planar Pareto Front


Polynomial cubic differentials and convex polygons in the projective plane


Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer


Polynomial-time T-depth Optimization of Clifford+T circuits via Matroid Partitioning


Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval


Polysemy Deciphering Network for Robust Human-Object Interaction Detection


Pomelo, a tool for computing Generic Set Voronoi Diagrams of Aspherical Particles of Arbitrary Shape


Pooled Motion Features for First-Person Videos


Pooling multiple imputations when the sample happens to be the population


Popularity of arXiv.org within Computer Science


Population Analysis with Wannier Orbitals


Porcupine Neural Networks: (Almost) All Local Optima are Global


Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems


Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer


Pose Graph Optimization in the Complex Domain: Lagrangian Duality, Conditions For Zero Duality Gap, and Optimal Solutions


Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption


Pose consensus based on dual quaternion algebra with application to decentralized formation control of mobile manipulators


Pose-Robust Face Recognition via Deep Residual Equivariant Mapping


Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose


PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment


PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization


Position Prediction as an Effective Pretraining Strategy


Position-aware Self-attention with Relative Positional Encodings for Slot Filling


Post-Data Augmentation to Improve Deep Pose Estimation of Extreme and Wild Motions


Post-Hoc Domain Adaptation via Guided Data Homogenization


Post-Minkowskian Radial Action from Soft Limits and Velocity Cuts


Post-Newtonian Quasicircular Initial Orbits for Numerical Relativity


Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding


Post-acquisition image based compensation for thickness variation in microscopy section series


Post-randomization Biomarker Effect Modification in an HIV Vaccine Clinical Trial


Post-selection inference for linear mixed model parameters using the conditional Akaike information criterion


Post-training 4-bit quantization of convolution networks for rapid-deployment


Posterior Consistency for Gaussian Process Approximations of Bayesian Posterior Distributions


Posterior-Guided Neural Architecture Search


Posterior-regularized REINFORCE for Instance Selection in Distant Supervision


Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessment


Power Allocation for Wireless Federated Learning using Graph Neural Networks


Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches


Power Priors Based on Multiple Historical Studies for Binary Outcomes


Power of data in quantum machine learning


Power-law intensity distribution in $γ$-decay cascades


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


PowerModelsRestoration.jl: An Open-Source Framework for Exploring Power Network Restoration Algorithms


PrObeD: Proactive Object Detection Wrapper


PraNet: Parallel Reverse Attention Network for Polyp Segmentation


Practical Aspects of Autonomous Exploration with a Kinect2 sensor


Practical Bayesian Optimization of Machine Learning Algorithms


Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC


Practical Block-wise Neural Network Architecture Generation


Practical Coreset Constructions for Machine Learning


Practical Federated Gradient Boosting Decision Trees


Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition


Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution


Practical Near Neighbor Search via Group Testing


Practical and Optimal LSH for Angular Distance


Practical approximation of single-qubit unitaries by single-qubit quantum Clifford and T circuits


Practical trapped-ion protocols for universal qudit-based quantum computing


Pragmatically Informative Text Generation


Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks


Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks


Pre-trained Gaussian Processes for Bayesian Optimization


Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting


Pre-training on high-resource speech recognition improves low-resource speech-to-text translation


PreDiff: Precipitation Nowcasting with Latent Diffusion Models


Precise Recovery of Latent Vectors from Generative Adversarial Networks


Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network


Precision Higgs Width and Couplings with a High Energy Muon Collider


Precision cosmology with time delay lenses: high resolution imaging requirements


Precursors of fluidisation in the creep response of a soft glass


PredNet and Predictive Coding: A Critical Review


Predator-prey dynamics: Chasing by stochastic resetting


Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer


Predictability of real temporal networks


Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset


Predicting Citation Counts with a Neural Network


Predicting Coronal Mass Ejections Using Machine Learning Methods


Predicting Deeper into the Future of Semantic Segmentation


Predicting Driver Attention in Critical Situations


Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks


Predicting Future Instance Segmentation by Forecasting Convolutional Features


Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies


Predicting Geographic Information with Neural Cellular Automata


Predicting Graph Structure via Adapted Flux Balance Analysis


Predicting Localized Primordial Star Formation with Deep Convolutional Neural Networks


Predicting Missing Links via Local Information


Predicting Model Failure using Saliency Maps in Autonomous Driving Systems


Predicting Movie Genres Based on Plot Summaries


Predicting Path Failure In Time-Evolving Graphs


Predicting Rainfall using Machine Learning Techniques


Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks


Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM


Predicting and Explaining Human Semantic Search in a Cognitive Model


Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker


Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks


Predicting city safety perception based on visual image content


Predicting distributions with Linearizing Belief Networks


Predicting drug response of tumors from integrated genomic profiles by deep neural networks


Predicting protein inter-residue contacts using composite likelihood maximization and deep learning


Predicting the Generalization Gap in Deep Networks with Margin Distributions


Predicting the Type and Target of Offensive Posts in Social Media


Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning


Predicting the outcomes of policy diffusion from U.S. states to federal law


Predicting traffic overflows on private peering


Predicting user intent from search queries using both CNNs and RNNs


Prediction and Generalisation over Directed Actions by Grid Cells


Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling


Prediction of spatio-temporal patterns of neural activity from pairwise correlations


Prediction of the FIFA World Cup 2018 - A random forest approach with an emphasis on estimated team ability parameters


Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control


Prediction-Based Reachability for Collision Avoidance in Autonomous Driving


Predictions of turbulent shear flows using deep neural networks


Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons


Preliminary analysis of COVID-19 spread in Italy with an adaptive SEIRD model


Premise Selection for Mathematics by Corpus Analysis and Kernel Methods


Presenting the Probabilities of Different Effect Sizes: Towards a Better Understanding and Communication of Statistical Uncertainty


Preserving Color in Neural Artistic Style Transfer


Pressure Effects on the 4f Electronic Structure of Light Lanthanides


Presupernova evolution and explosive nucleosynthesis of rotating massive stars in the metallicity range -3 <=[Fe/H]<= 0


Pretrained Transformers for Simple Question Answering over Knowledge Graphs


Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks


Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization


PriFi: Low-Latency Anonymity for Organizational Networks


Pricing and Referrals in Diffusion on Networks


Primal and dual optimal stopping with signatures


Primary quantization matrix estimation of double compressed JPEG images via CNN


PrimiTect: Fast Continuous Hough Voting for Primitive Detection


Principal Differences Analysis: Interpretable Characterization of Differences between Distributions


Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment


Principal Neighbourhood Aggregation for Graph Nets


Principal component trajectories for modeling spectrally-continuous dynamics as forced linear systems


Principled Simplicial Neural Networks for Trajectory Prediction


Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality


Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors


PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation


Priors in Deep Image Restoration and Enhancement: A Survey


Privacy Assessment of Software Architectures based on Static Taint Analysis


Privacy Knowledge Modelling for Internet of Things: A Look Back


Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset


Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting


Privacy and Integrity Preserving Computations with CRISP


Privacy preservation in continuous-time average consensus algorithm via deterministic additive obfuscation signals


Privacy-Preserving Gradient Boosting Decision Trees


Privacy-enhancing Aggregation of Internet of Things Data via Sensors Grouping


Privacy-preserving Collaborative Learning with Automatic Transformation Search


Privacy-preserving smart meter control strategy including energy storage losses


Private delegated computations using strong isolation


Private key encryption and recovery in blockchain


PrivateJobMatch: A Privacy-Oriented Deferred Multi-Match Recommender System for Stable Employment


ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications


ProFSA: Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment


ProGraML: Graph-based Deep Learning for Program Optimization and Analysis


ProIO: An Event-Based I/O Stream Format for Protobuf Messages


ProProjected Multi-Agent Consensus Equilibrium (PMACE) with Application to Ptychography


Proactive DDoS Attack Mitigation in Cloud-Fog Environment using Moving Target Defense


Probabilistic $N$-$k$ Failure-Identification for Power Systems


Probabilistic 3D Multi-Object Tracking for Autonomous Driving


Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning


Probabilistic Bounds on the End-to-End Delay of Service Function Chains using Deep MDN


Probabilistic Catalogs for Crowded Stellar Fields


Probabilistic Event Calculus for Event Recognition


Probabilistic Label Trees for Extreme Multi-label Classification


Probabilistic Logic Neural Networks for Reasoning


Probabilistic Logic Programming with Beta-Distributed Random Variables


Probabilistic Models of Relational Implication


Probabilistic Noise2Void: Unsupervised Content-Aware Denoising


Probabilistic Numeric Convolutional Neural Networks


Probabilistic Object Detection: Definition and Evaluation


Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems


Probabilistic Video Generation using Holistic Attribute Control


Probabilistic divide-and-conquer: a new exact simulation method, with integer partitions as an example


Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations


Probabilistic programs for inferring the goals of autonomous agents


Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks


Probability Series Expansion Classifier that is Interpretable by Design


Probability density estimation for sets of large graphs with respect to spectral information using stochastic block models


Probing Acoustic Representations for Phonetic Properties


Probing cluster magnetism with embedded and background radio sources in Planck clusters


Probing entanglement in a many-body-localized system


Probing the Dark Matter of Three-loop Radiative Neutrino Mass Generation Model with the Cherenkov Telescope Array


Procedural generation using quantum computation


Proceedings of Workshop AEW10: Concepts in Information Theory and Communications


Proceedings of the 19th International Overture Workshop


Process Equivalence Problems as Energy Games


Process-and-Forward: Deep Joint Source-Channel Coding Over Cooperative Relay Networks


Processing Columnar Collider Data with GPU-Accelerated Kernels


Processing of Global Solar Irradiance and Ground-Based Infrared Sky Images for Solar Nowcasting and Intra-Hour Forecasting Applications


Processing, evaluating and understanding FMRI data with afni_proc.py


Prochlo: Strong Privacy for Analytics in the Crowd


Product Spectrum Ansatz and the Simplicity of Thermal States


Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks


Products-10K: A Large-scale Product Recognition Dataset


Professor Forcing: A New Algorithm for Training Recurrent Networks


Profile-Guided, Multi-Version Binary Rewriting


Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities


Program Merge Conflict Resolution via Neural Transformers


Program Sketching with Live Bidirectional Evaluation


Programing implementation of the Quine-McCluskey method for minimization of Boolean expression


Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures


Programming with a Differentiable Forth Interpreter


Progressive Co-Attention Network for Fine-grained Visual Classification


Progressive Correspondence Pruning by Consensus Learning


Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM


Progressive Feature Polishing Network for Salient Object Detection


Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks


Progressive Pose Attention Transfer for Person Image Generation


Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models


Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples


Progressive Stochastic Binarization of Deep Networks


Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm


ProjE: Embedding Projection for Knowledge Graph Completion


Project AMIGA: A Minimal Covering Factor for Optically Thick Circumgalactic Gas Around the Andromeda Galaxy


Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation


Projecting SPH Particles in Adaptive Environments


Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application


Projection pursuit based generalized betas accounting for higher order co-moment effects in financial market analysis


Projection-based two-sample inference for sparsely observed multivariate functional data


ProjectionPathExplorer: Exploring Visual Patterns in Projected Decision-Making Paths


Projections for Dark Photon Searches at Mu3e


Projective Geometric Algebra as a Subalgebra of Conformal Geometric algebra


Projective Latent Interventions for Understanding and Fine-tuning Classifiers


Projective Splitting with Forward Steps: Asynchronous and Block-Iterative Operator Splitting


ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation


Promoting Connectivity of Network-Like Structures by Enforcing Region Separation


Prompt Injection attack against LLM-integrated Applications


Prompt-augmented Temporal Point Process for Streaming Event Sequence


PromptHMR: Promptable Human Mesh Recovery


PromptWizard: Task-Aware Prompt Optimization Framework


Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution


Proof of Luck: an Efficient Blockchain Consensus Protocol


Proof of bijection for combinatorial number system


Proof-Based Synthesis of Sorting Algorithms Using Multisets in Theorema


Properties of Winning Iterated Prisoner's Dilemma Strategies


Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity


ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine


Proposal for a micromagnetic standard problem: domain wall pinning at phase boundaries


Prosocial learning agents solve generalized Stag Hunts better than selfish ones


Prosody-Enhanced Acoustic Pre-training and Acoustic-Disentangled Prosody Adapting for Movie Dubbing


Prospect for top quark FCNC searches at the FCC-hh


Prospects for Finding Sterile Neutrino Dark Matter at KATRIN


ProtGNN: Towards Self-Explaining Graph Neural Networks


ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training


ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation


ProtVec: A Continuous Distributed Representation of Biological Sequences


Protein driven lipid domain nucleation in biological membranes


Proteus: Simulating the Performance of Distributed DNN Training


ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery


Protocols for Checking Compromised Credentials


Protostellar collapse simulations in spherical geometry with dust coagulation and fragmentation


Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability


Prototypical many-body signatures in transport properties of semiconductors


Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective


Provable Tensor Factorization with Missing Data


Provable superior accuracy in machine learned quantum models


Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks


Provably Good Batch Reinforcement Learning Without Great Exploration


Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming


Prover-Verifier Games improve legibility of LLM outputs


Proximal Newton-type methods for minimizing composite functions


Proximal Recursion for Solving the Fokker-Planck Equation


Proximal Splitting Methods in Signal Processing


ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis


Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks


PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration


Pruned Neural Networks are Surprisingly Modular


Pruning neural networks without any data by iteratively conserving synaptic flow


Pruning the Index Contents for Memory Efficient Open-Domain QA


Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization


Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction


Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls


Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning


PseudoEdgeNet: Nuclei Segmentation only with Point Annotations


Pseudospectrum and black hole quasi-normal mode (in)stability


Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents


PuRe: Robust pupil detection for real-time pervasive eye tracking


PubDef: Defending Against Transfer Attacks From Public Models


PubTables-1M: Towards comprehensive table extraction from unstructured documents


Public Sentiment Toward Solar Energy: Opinion Mining of Twitter Using a Transformer-Based Language Model


Pulling Out All the Tops with Computer Vision and Deep Learning


Pure Operation-Based Replicated Data Types


Purine: A bi-graph based deep learning framework


Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders


Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs


Pushing the Boundaries of View Extrapolation with Multiplane Images


Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition


Pushing the Performance Limit of Scene Text Recognizer without Human Annotation


PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network


PyFLOSIC: Python-based Fermi-Löwdin orbital self-interaction correction


PyLops -- A Linear-Operator Python Library for large scale optimization


PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop


PyMieDAP: a Python--Fortran tool to compute fluxes and polarization signals of (exo)planets


PyOD: A Python Toolbox for Scalable Outlier Detection


PyPSA-ZA: Investment and operation co-optimization of integrating wind and solar in South Africa at high spatial and temporal detail


PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing


PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry


PySDTest: a Python/Stata Package for Stochastic Dominance Tests


PySPH: a Python-based framework for smoothed particle hydrodynamics


PyText: A Seamless Path from NLP research to production


PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models


PyTorch: An Imperative Style, High-Performance Deep Learning Library


PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction


PyUltraLight: A Pseudo-Spectral Solver for Ultralight Dark Matter Dynamics


PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution


Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection


Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions


PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference


PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery


Pythia v0.1: the Winning Entry to the VQA Challenge 2018


PythonRobotics: a Python code collection of robotics algorithms


Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games


Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size


Q-TOD: A Query-driven Task-oriented Dialogue System


Q-Value Weighted Regression: Reinforcement Learning with Limited Data


Q-value Regularized Transformer for Offline Reinforcement Learning


QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs


QBDT, a new boosting decision tree method with systematic uncertainties into training for High Energy Physics


QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking


QLBS: Q-Learner in the Black-Scholes(-Merton) Worlds


QMeS-Derivation: Mathematica package for the symbolic derivation of functional equations


QPyTorch: A Low-Precision Arithmetic Simulation Framework


QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding


QSW_MPI: a framework for parallel simulation of quantum stochastic walks


QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation


QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips


QUBO Formulations for Training Machine Learning Models


QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos


QUEST: Quantized embedding space for transferring knowledge


QUIC-FEC: Bringing the benefits of Forward Erasure Correction to QUIC


QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios


QVECTOR: an algorithm for device-tailored quantum error correction


QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition


Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators


QoS Provision for Controlling Energy Consumption in Ad-hoc Wireless Sensor Networks


QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware


Quadcubic interpolation: a four-dimensional spline method


Quadratic Unconstrained Binary Optimization Problem Preprocessing: Theory and Empirical Analysis


Quadratic estimator for CMB cross-correlation


Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components


Quality Guided Sketch-to-Photo Image Synthesis


Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective


Quantal Response Equilibria in Binary Choice Games on Graphs


Quantifying Dismantlement in Disconnected Networks


Quantifying Gerrymandering in North Carolina


Quantifying Mental Health from Social Media with Neural User Embeddings


Quantifying Privacy Leakage in Graph Embedding


Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics


Quantifying Uncertainty in Deep Spatiotemporal Forecasting


Quantifying Uncertainty in Transdimensional Markov Chain Monte Carlo Using Discrete Markov Models


Quantifying Variability of YSOs in the Mid-IR Over Six Years with NEOWISE


Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines


Quantifying demand and weather uncertainty in power system models using the m out of n bootstrap


Quantifying discretization errors for soft-tissue simulation in computer assisted surgery: a preliminary study


Quantifying efficient information exchange in real network flows


Quantifying ethnic segregation in cities through random walks


Quantifying experimental edge plasma evolution via multidimensional adaptive Gaussian process regression


Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression


Quantifying socioeconomic activities and weather effects on the global spread of COVID-19 epidemic


Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots


Quantifying the Evidence for a Planet in Radial Velocity Data


Quantifying the Observational Effort Required for the Radial Velocity Characterization of TESS Planets


Quantifying the Re-identification Risk of Event Logs for Process Mining


Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases


Quantisation and Pruning for Neural Network Compression and Regularisation


Quantitative Evaluation of a Linear Reduced-order Model based on Particle-image-velocimetry Data of Separated Flow Field around Airfoil


Quantitative Susceptibility Mapping using Deep Neural Network: QSMnet


Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space


Quantitative trends in 8 physical properties of 115000 inorganic compounds gained by machine learning


Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing


Quantization for spectral super-resolution


Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations


Quantum Algorithms for Mixed Binary Optimization applied to Transaction Settlement


Quantum Algorithms for Nearest-Neighbor Methods for Supervised and Unsupervised Learning


Quantum Annealing for Neural Network optimization problems: a new approach via Tensor Network simulations


Quantum Annealing of Vehicle Routing Problem with Time, State and Capacity


Quantum Architecture Search via Deep Reinforcement Learning


Quantum Circuit Design for Solving Linear Systems of Equations


Quantum Circuit Transformation: A Monte Carlo Tree Search Framework


Quantum Circuits for Scale Transformations


Quantum Clustering and Gaussian Mixtures


Quantum Coin Method for Numerical Integration


Quantum Computer Music: Foundations and Initial Experiments


Quantum Computers and Quantum Computer Languages: Quantum Assembly Language and Quantum C Language


Quantum Computing in the NISQ era and beyond


Quantum Control of Radical Pair Dynamics beyond Time-Local Optimization


Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity


Quantum Field Theory in Categorical Quantum Mechanics


Quantum Finite Volume Method for Computational Fluid Dynamics with Classical Input and Output


Quantum Fisher Information: Variational principle and simple iterative algorithm for its efficient computation


Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers


Quantum Networks for Elementary Arithmetic Operations


Quantum Proof of Work with Parametrized Quantum Circuits


Quantum Splines for Non-Linear Approximations


Quantum Synchronization on the IBM Q System


Quantum Unsupervised and Supervised Learning on Superconducting Processors


Quantum algorithm for solving linear systems of equations


Quantum algorithms for highly non-linear Boolean functions


Quantum algorithms for topological and geometric analysis of big data


Quantum amplitude damping for solving homogeneous linear differential equations: A noninterferometric algorithm


Quantum and Nonlinear Effects in Light Transmitted through Planar Atomic Arrays


Quantum computers can search arbitrarily large databases by a single query


Quantum correlations at infinite temperature: the dynamical Nagaoka effect


Quantum electron transport in ohmic edge contacts between two-dimensional materials


Quantum estimation of coupling strengths in driven-dissipative optomechanics


Quantum evolution kernel : Machine learning on graphs with programmable arrays of qubits


Quantum exploration algorithms for multi-armed bandits


Quantum linear systems algorithms: a primer


Quantum machine learning for data scientists


Quantum noise dynamics in nonlinear pulse propagation


Quantum optimal control of photoelectron spectra and angular distributions


Quantum optimal control via gradient ascent in function space and the time-bandwidth quantum speed limit


Quantum parallel information exchange (QPIE) hybrid network with transfer learning


Quantum polyspectra for modeling and evaluating quantum transport measurements: A unifying approach to the strong and weak measurement regime


Quantum processor-inspired machine learning in the biomedical sciences


Quantum quench of the Sachdev-Ye-Kitaev Model


Quantum query complexity of some graph problems


Quantum self-learning Monte Carlo with quantum Fourier transform sampler


Quantum spin Hall effect in three dimensional materials: Lattice computation of Z$_2$ topological invariants and its application to Bi and Sb


Quantum trajectories for time-dependent adiabatic master equations


Quantum-enhanced Markov chain Monte Carlo


Quantum-mechanical exploration of the phase diagram of water


Quarkyonic Matter Equation of State in Beta-Equilibrium


Quarter-BPS states, multi-symmetric functions and set partitions


Quasi-Cyclic LDPC Codes: Influence of Proto- and Tanner-Graph Structure on Minimum Hamming Distance Upper Bounds


Quasi-geometric integration of guiding-center orbits in piecewise linear toroidal fields


Quasi-integrable KdV models, towers of infinite number of anomalous charges and soliton collisions


Quaternion kinematics for the error-state Kalman filter


Qubit-reuse compilation with mid-circuit measurement and reset


Query-limited Black-box Attacks to Classifiers


Question Answering with Subgraph Embeddings


QuickREST: Property-based Test Generation of OpenAPI-Described RESTful APIs


QuickSel: Quick Selectivity Learning with Mixture Models


Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos


Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation


Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight


R package for producing beamplots as a preferred alternative to the h index when assessing single researchers (based on downloads from Web of Science)


R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph


R-enum: Enumeration of Characteristic Substrings in BWT-runs Bounded Space


R-grams: Unsupervised Learning of Semantic Units in Natural Language


R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning


R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection


RACE: Large-scale ReAding Comprehension Dataset From Examinations


RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model


RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation


RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time


RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images


RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network


RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation


RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control


RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning


RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training


RCLC: ROI-based joint conventional and learning video compression


RCNN for Region of Interest Detection in Whole Slide Images


RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images


RCR: Robust Compound Regression for Robust Estimation of Errors-in-Variables Model


RDGSL: Dynamic Graph Representation Learning with Structure Learning


RECAST: Extending the Impact of Existing Analyses


RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density


RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network


RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering


RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection


RED: Reinforced Encoder-Decoder Networks for Action Anticipation


REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI Segmentation


REL: An Entity Linker Standing on the Shoulders of Giants


REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models


RENOIR - A Dataset for Real Low-Light Image Noise Reduction


REPLUG: Retrieval-Augmented Black-Box Language Models


REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild


RESTORE: Towards Feature Shift for Vision-Language Prompt Learning


REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments


REX: Revisiting Budgeted Training with an Improved Schedule


REinforcement learning based Adaptive samPling: REAPing Rewards by Exploring Protein Conformational Landscapes


RF-Net: An End-to-End Image Matching Network based on Receptive Field


RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests


RGB-D Salient Object Detection with Cross-Modality Modulation and Selection


RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment


RGCNN: Regularized Graph CNN for Point Cloud Segmentation


RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network


RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr


RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks


RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures


RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective


RITA: A Real-time Interactive Talking Avatars Framework


RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning


RL agents Implicitly Learning Human Preferences


RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback


RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback


RLOR: A Flexible Framework of Deep Reinforcement Learning for Operation Research


RLlib: Abstractions for Distributed Reinforcement Learning


RMSSinger: Realistic-Music-Score based Singing Voice Synthesis


RNA Alternative Splicing Prediction with Discrete Compositional Energy Network


ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots


ROS-Mobile: An Android application for the Robot Operating System


ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systems


RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG


RRL: Resnet as representation for Reinforcement Learning


RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization


RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation


RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control


RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Learning


RTFM: Generalising to Novel Environment Dynamics via Reading


RTVis: Research Trend Visualization Toolkit


RUHSNet: 3D Object Detection Using Lidar Data in Real Time


RWKV-CLIP: A Robust Vision-Language Representation Learner


RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved


RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data Augmentation


Racial Bias in Hate Speech and Abusive Language Detection Datasets


RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training


Radial Based Analysis of GRNN in Non-Textured Image Inpainting


Radial velocity information content of M dwarf spectra in the near-infrared


Radiative transfer with POLARIS: I. Analysis of magnetic fields through synthetic dust continuum polarization measurements


Radio Morphing: towards a fast computation of the radio signal from air showers


Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals


RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings


Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection


Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks


Rafiki: Machine Learning as an Analytics Service System


RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms


Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation


Random Finite Set Theory and Centralized Control of Large Collaborative Swarms


Random Hinge Forest for Differentiable Learning


Random Partitioning Forest for Point-Wise and Collective Anomaly Detection -- Application to Intrusion Detection


Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples


Random Transformation of Image Brightness for Adversarial Attack


Random Walks on Hypergraphs with Edge-Dependent Vertex Weights


Random clique covers for graphs with local density and global sparsity


Random deep neural networks are biased towards simple functions


Random numerical semigroups and a simplicial complex of irreducible semigroups


Random road networks: the quadtree model


Randomization Tests for Conditional Group Symmetry


Randomized Controlled Trials without Data Retention


Randomized Gram-Schmidt process with application to GMRES


Randomized Incremental Construction of Net-Trees


Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks


Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science


Randomized Quantization is All You Need for Differential Privacy in Federated Learning


Randomized Value Functions via Multiplicative Normalizing Flows


Randomized subspace iteration: Analysis of canonical angles and unitarily invariant norms


Randomness versus nonlocality in the Mermin-Bell experiment with three parties


RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation


Rank-One Network: An Effective Framework for Image Restoration


Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning


Rank-based approach for estimating correlations in mixed ordinal data


RankIQA: Learning from Rankings for No-reference Image Quality Assessment


Ranked Sparsity: A Cogent Regularization Framework for Selecting and Estimating Feature Interactions and Polynomials


Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering


Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs


Ranking and benchmarking framework for sampling algorithms on synthetic data streams


Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction


Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator


Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents


Rapid Sampling of Stochastic Displacements in Brownian Dynamics Simulations


Rapid online learning and robust recall in a neuromorphic olfactory circuit


RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond


Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned


Rare Feature Selection in High Dimensions


Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images


Rates of Convergence for Sparse Variational Gaussian Process Regression


Rational Construction of Stochastic Numerical Methods for Molecular Sampling


Rationalising data collection for supporting decision making in building energy systems using Value of Information analysis


Ray tracing and Hubble diagrams in post-Newtonian cosmology


Rb-PaStaNet: A Few-Shot Human-Object Interaction Detection Based on Rules and Part States


Re-solving the jet/cocoon riddle of the first gravitational wave with an electromagnetic counterpart


ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection


ReFormer: The Relational Transformer for Image Captioning


ReGround: Improving Textual and Spatial Grounding at No Cost


ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems


ReMix: Towards Image-to-Image Translation with Limited Data


ReNAS:Relativistic Evaluation of Neural Architecture Search


ReNeLiB: Real-time Neural Listening Behavior Generation for Socially Interactive Agents


ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks


ReNoise: Real Image Inversion Through Iterative Noising


RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability


RePr: Improved Training of Convolutional Filters


ReSIFT: Reliability-Weighted SIFT-based Image Quality Assessment


ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning


ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Scale


Reactive Collision Avoidance using Evolutionary Neural Networks


Reactive and Safe Road User Simulations using Neural Barrier Certificates


Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach


ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis


Readability-based Sentence Ranking for Evaluating Text Simplification


Reading Scene Text in Deep Convolutional Sequences


Reading Task Classification Using EEG and Eye-Tracking Data


Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language models


Real Differences between OT and CRDT for Co-Editors


Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications


Real Image Denoising with Feature Attention


Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements


Real Time Speech Enhancement in the Waveform Domain


Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks


Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN


Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling


Real-Time Community Detection in Large Social Networks on a Laptop


Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation


Real-Time Dense 3D Mapping of Underwater Environments


Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example


Real-Time Head Gesture Recognition on Head-Mounted Displays using Cascaded Hidden Markov Models


Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting Garments


Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments


Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG


Real-Time Trajectory Replanning for MAVs using Uniform B-splines and a 3D Circular Buffer


Real-World Image Datasets for Federated Learning


Real-time 2019 Portuguese Parliament Election Results Dataset


Real-time 3D Facial Tracking via Cascaded Compositional Learning


Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning


Real-time Attention Based Look-alike Model for Recommender System


Real-time Controllable Denoising for Image and Video


Real-time Denoising and Dereverberation with Tiny Recurrent U-Net


Real-time Linux communications: an evaluation of the Linux communication stack for real-time robotic applications


Real-time Neural Radiance Caching for Path Tracing


Real-time Pupil Tracking from Monocular Video for Digital Puppetry


Real-time and interactive tools for vocal training based on an analytic signal with a cosine series envelope


Real-time eSports Match Result Prediction


Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network


Real-time object detection method based on improved YOLOv4-tiny


Real-time optimal control via Deep Neural Networks: study on landing problems


Real-time regression analysis with deep convolutional neural networks


Real-time sparse-sampled Ptychographic imaging through deep neural networks


Real-time visual tracking by deep reinforced decision making


RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms


Realistic sensitivity curves for pulsar timing arrays


Realtime Person Identification via Gait Analysis


Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis


Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning


ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL


Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models


Reasoning with Language Model is Planning with World Model


RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance


Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks


Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems


Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications


Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches


Recent Progress of the Computational 2D Materials Database (C2DB)


Recent advances in percolation theory and its applications


Recipe for creating an arbitrary number of Floquet chiral edge states


Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks


Recognition and classification of the cosmic-ray events in images captured by CMOS/CCD cameras


Recognition of Smoking Gesture Using Smart Watch Technology


Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network


Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge


Recognizing Musical Entities in User-generated Content


Recognizing Video Events with Varying Rhythms


Recommendations for Datasets for Source Code Summarization


Recommendations of the LHC Dark Matter Working Group: Comparing LHC searches for heavy mediators of dark matter production in visible and invisible decay channels


Recommendations on presenting LHC searches for missing transverse energy signals using simplified $s$-channel models of dark matter


Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder


ReconfigISP: Reconfigurable Camera Image Processing Pipeline


Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities


Reconstructing Classes of Non-bandlimited Signals from Time Encoded Information


Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks


Reconstructing Hands in 3D with Transformers


Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning


Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks


Reconstruction Network for Video Captioning


Reconstruction of dark energy and expansion dynamics using Gaussian processes


Reconstructive Visual Instruction Tuning


Recovering affine features from orientation- and scale-invariant ones


Recovering the past states of growing trees


Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones


Rectangular knot diagrams classification with deep learning


Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks


Recurrent Attention Walk for Semi-supervised Classification


Recurrent Filter Learning for Visual Tracking


Recurrent Flow-Guided Semantic Forecasting


Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection


Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces


Recurrent Neural Network Transducer for Audio-Visual Speech Recognition


Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth


Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning


Recurrent Registration Neural Networks for Deformable Image Registration


Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation


Recurrent Transformer Networks for Semantic Correspondence


Recurrent Transition Networks for Character Locomotion


Recurrent U-net: Deep learning to predict daily summertime ozone in the United States


Recurrent machines for likelihood-free inference


Recursive Cascaded Networks for Unsupervised Medical Image Registration


Recursive Partitioning for Heterogeneous Causal Effects


Recursive Partitioning for Personalization using Observational Data


Recursive Sampling for the Nyström Method


Recursive Top-Down Production for Sentence Generation with Latent Trees


Recursive computation of spherical harmonic rotation coefficients of large degree


Recursive, parameter-free, explicitly defined interpolation nodes for simplices


Recycle-GAN: Unsupervised Video Retargeting


Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned


Red Teaming Language Models with Language Models


Redshift-space distortions with split densities


Redshift-space distortions with wide angular separations


Reducing Activation Recomputation in Large Transformer Models


Reducing Data Motion to Accelerate the Training of Deep Neural Networks


Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks


Reducing the Sim-to-Real Gap for Event Cameras


RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation


Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images


Reference results for time-like evolution up to $\mathcal{O}(α_s^3)$


Reference worldwide model for antineutrinos from reactors


Reference-enhanced X-ray Single Particle Imaging


Referring Expression Comprehension Using Language Adaptive Inference


RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices


Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection


Reforming the State-Based Forward Guidance through Wage Growth Rate Threshold: Evidence from FRB/US Simulations


Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation


Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models


RegNet: Multimodal Sensor Registration Using Deep Neural Networks


Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification


Region-adaptive Texture Enhancement for Detailed Person Image Synthesis


Region-of-interest guided Supervoxel Inpainting for Self-supervision


RegionDrag: Fast Region-Based Image Editing with Diffusion Models


Regress-Later Monte Carlo for optimal control of Markov processes


Regression via Arbitrary Quantile Modeling


Regret Minimization for Partially Observable Deep Reinforcement Learning


Regularised B-splines projected Gaussian Process priors to estimate time-trends of age-specific COVID-19 deaths related to vaccine roll-out


Regularity of high energy photon events from gamma ray bursts


Regularization and Model Selection for Ordinal-on-Ordinal Regression with Applications to Food Products' Testing and Survey Data


Regularization by Denoising: Clarifications and New Interpretations


Regularization for Long Named Entity Recognition


Regularized Estimation of High-dimensional Factor-Augmented Autoregressive (FAVAR) Models


Regularized Reconstruction of a Surface from its Measured Gradient Field


Regularized deep learning with nonconvex penalties


Regularizing CNNs with Locally Constrained Decorrelations


Regularizing Neural Networks via Minimizing Hyperspherical Energy


Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation


Regularizing cross entropy loss via minimum entropy and K-L divergence


Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent


Reinforcement Learning Produces Dominant Strategies for the Iterated Prisoner's Dilemma


Reinforcement Learning When All Actions are Not Always Available


Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review


Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains


Reinforcement Learning for Pivoting Task


Reinforcement Learning for UAV Attitude Control


Reinforcement Learning for Uplift Modeling


Reinforcement Learning in a Physics-Inspired Semi-Markov Environment


Reinforcement Learning with Augmented Data


Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization


RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild


Relatable Clothing: Detecting Visual Relationships between People and Clothing


Relating Turing's Formula and Zipf's Law


Relating the structure of dark matter halos to their assembly and environment


Relation Classification via Recurrent Neural Network


Relation Network for Multi-label Aerial Image Classification


Relation-Aware Neighborhood Matching Model for Entity Alignment


Relation-aware Hierarchical Attention Framework for Video Question Answering


Relative Binding Free Energy Estimation of Congeneric Ligands and Macromolecular Mutants with the Alchemical Transfer with Coordinate Swapping Method


Relative Camera Pose Estimation Using Convolutional Neural Networks


Relative Generalized Rank Weight of Linear Codes and Its Applications to Network Coding


Relative Molecule Self-Attention Transformer


Relative Optimality Conditions and Algorithms for Treespace Fréchet Means


Relativistic cosmological large scale structures at one-loop


Relevance Factor VAE: Learning and Identifying Disentangled Factors


Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Healthcare Records


Reliable Graph Neural Networks via Robust Aggregation


Reliable Malware Analysis and Detection using Topology Data Analysis


Reliable Post hoc Explanations: Modeling Uncertainty in Explainability


Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection


Remasking Discrete Diffusion Models with Inference-Time Scaling


Remember and Forget for Experience Replay


Remote Sensing Image Scene Classification: Benchmark and State of the Art


Remote teaching data-driven physical modeling through a COVID-19 open ended data challenge


Removing Imaging Systematics from Galaxy Clustering Measurements with Obiwan : Application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey Emission Line Galaxy Sample


Renaissance: A Self-Stabilizing Distributed SDN Control Plane using In-band Communications


RenderNet: A deep convolutional network for differentiable rendering from 3D shapes


Rendering Point Clouds with Compute Shaders and Vertex Order Optimization


Rendering and Tracking the Directional TSDF: Modeling Surface Orientation for Coherent Maps


Reordering Rows for Better Compression: Beyond the Lexicographic Order


RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality


RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation


Reparametrization of COM-Poisson Regression Models with Applications in the Analysis of Experimental Data


Report of the IAU Commission 4 Working Group on Standardizing Access to Ephemerides and File Format Specification


Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes


Representation Balancing MDPs for Off-Policy Policy Evaluation


Representation Degeneration Problem in Training Natural Language Generation Models


Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound


Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems


Representation Learning for Event-based Visuomotor Policies


Representation Learning: A Review and New Perspectives


Representation Tradeoffs for Hyperbolic Embeddings


Representer Point Selection for Explaining Deep Neural Networks


Reproduction of IVFS algorithm for high-dimensional topology preservation feature selection


Repulsion Loss: Detecting Pedestrians in a Crowd


Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation


Repurposing GANs for One-shot Semantic Part Segmentation


Repurposing drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2


Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation


Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image Reconstruction


ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution


ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks


ResNet After All? Neural ODEs and Their Numerical Solution


ResNet or DenseNet? Introducing Dense Shortcuts to ResNet


ResNet with one-neuron hidden layers is a Universal Approximator


ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting


ResT: An Efficient Transformer for Visual Recognition


Resampling Method For Unsupervised Estimation Of Cluster Validity


Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams


Reshaped Wirtinger Flow and Incremental Algorithm for Solving Quadratic System of Equations


Residual Energy-Based Models for Text Generation


Residual Multiplicative Filter Networks for Multiscale Reconstruction


Residual Pyramid Learning for Single-Shot Semantic Segmentation


Residual Squeeze-and-Excitation Network for Fast Image Deraining


Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification


Resist : Reconstruction of irises from templates


Resistive evolution of toroidal field configurations and their relation to magnetic clouds


ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification


Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains


Resolution limit of data-driven coarse-grained models spanning chemical space


Resolution limit revisited: community detection using generalized modularity density


Resolving the Hubble Tension with New Early Dark Energy


Resolving the measurement uncertainty paradox in ecological management


Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large Corpora


Resource-aware Elastic Swap Random Forest for Evolving Data Streams


Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition


Restoring Heisenberg scaling in noisy quantum metrology by monitoring the environment


Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches


Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches


Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants


Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics


Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs


Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control


Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation


Rethinking Feature Distribution for Loss Functions in Image Classification


Rethinking Imitation-based Planner for Autonomous Driving


Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral


Rethinking Model Ensemble in Transfer-based Adversarial Attacks


Rethinking Pre-training and Self-training


Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability


Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers


Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification


Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment


Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning


Rethinking Vision Transformer for Object Centric Foundation Models


Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?


Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow


RetinaTrack: Online Single Stage Joint Detection and Tracking


Retinal OCT disease classification with variational autoencoder regularization


Retinal Vessel Segmentation based on Fully Convolutional Networks


Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View


Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook


Retrieval analysis of 38 WFC3 transmission spectra and resolution of the normalisation degeneracy


Retrieving Similar E-Commerce Images Using Deep Learning


Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning


Retrospective Reader for Machine Reading Comprehension


Retrosynthetic reaction prediction using neural sequence-to-sequence models


Return of Frustratingly Easy Domain Adaptation


Return of the Devil in the Details: Delving Deep into Convolutional Nets


Retweet Us, We Will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services


Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation


Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition


Revealing biases in the sampling of ecological interaction networks


Revealing quantum chaos with machine learning


Reverse Attention for Salient Object Detection


Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning


Review Article: Physics and Monte Carlo Techniques as Relevant to Cryogenic, Phonon and Ionization Readout of CDMS Radiation-Detectors


Review and Examination of Input Feature Preparation Methods and Machine Learning Models for Turbulence Modeling


Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations


Review of Tensor Network Contraction Approaches


Review on Ranking and Selection: A New Perspective


Reviewer2: Optimizing Review Generation Through Prompt Generation


Revised Radii of Kepler Stars and Planets Using Gaia Data Release 2


Revising the Halofit Model for the Nonlinear Matter Power Spectrum


Revisit Many-body Interaction Heat Current and Thermal Conductivity Calculation in Moment Tensor Potential/LAMMPS Interface


Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training


Revisiting Consistent Hashing with Bounded Loads


Revisiting Fast Practical Byzantine Fault Tolerance


Revisiting Gray Pixel for Statistical Illumination Estimation


Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution


Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function


Revisiting Low-Resource Neural Machine Translation: A Case Study


Revisiting Performance of BiCGStab Methods for Solving Systems with Multiple Right-Hand Sides


Revisiting Pixel-Wise Supervision for Face Anti-Spoofing


Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow


Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve


Revisiting Shor's quantum algorithm for computing general discrete logarithms


Revisiting Size-Based Scheduling with Estimated Job Sizes


Revisiting Skeleton-based Action Recognition


Revisiting Summarization Evaluation for Scientific Articles


Revisiting Temporal Blocking Stencil Optimizations


Revisiting Unreasonable Effectiveness of Data in Deep Learning Era


Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging


Revisiting non-linear functional brain co-activations: directed, dynamic and delayed


Revisiting the "Video" in Video-Language Understanding


Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications -- Extended Report


Revisiting the Importance of Amplifying Bias for Debiasing


Revisiting the proton-radius problem using constrained Gaussian processes


Revêtements étales et groupe fondamental (SGA 1)


Reward Engineering for Object Pick and Place Training


Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery


Reward Machines for Cooperative Multi-Agent Reinforcement Learning


Reward Propagation Using Graph Convolutional Networks


Reward Uncertainty for Exploration in Preference-based Reinforcement Learning


Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement


Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement


Rich Human Feedback for Text-to-Image Generation


Rich Prosody Diversity Modelling with Phone-level Mixture Density Network


Rician $K$-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks


Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation


Right tail expansion of Tracy-Widom beta laws


Rigid-Body Sound Synthesis with Differentiable Modal Resonators


Rigorous numerics for nonlinear heat equations in the complex plane of time


Ring Oscillator and its application as Physical Unclonable Function (PUF) for Password Management


Ripple : Simplified Large-Scale Computation on Heterogeneous Architectures with Polymorphic Data Layout


Risk-Efficient Bayesian Data Synthesis for Privacy Protection


Risk-aware Trading Portfolio Optimization


River: machine learning for streaming data in Python


RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis


RoDLA: Benchmarking the Robustness of Document Layout Analysis Models


RoHM: Robust Human Motion Reconstruction via Diffusion


RoMA: Robust Model Adaptation for Offline Model-based Optimization


Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone


RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving


RoadTracer: Automatic Extraction of Road Networks from Aerial Images


RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments


Roadmap on Data-Centric Materials Science


RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud


Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models


RoboCLIP: One Demonstration is Enough to Learn Robot Policies


Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning


Robot Navigation with Map-Based Deep Reinforcement Learning


Robot Safe Interaction System for Intelligent Industrial Co-Robots


Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach


Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network


Robust Adaptive Control of Linear Parameter-Varying Systems with Unmatched Uncertainties


Robust Approximate Bayesian Inference with Synthetic Likelihood


Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions


Robust Bayesian Regression with Synthetic Posterior


Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency


Robust Collaborative Perception without External Localization and Clock Devices


Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach


Robust Decision Trees Against Adversarial Examples


Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory


Robust Dialogue Utterance Rewriting as Sequence Tagging


Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice Conversion


Robust Estimation for Discrete-Time State Space Models


Robust Estimators in High Dimensions without the Computational Intractability


Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning


Robust Federated Learning with Noisy Labels


Robust Functional Principal Component Analysis via Functional Pairwise Spatial Signs


Robust Imitation Learning from Noisy Demonstrations


Robust Lexical Features for Improved Neural Network Named-Entity Recognition


Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion


Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space


Robust Optimization using Machine Learning for Uncertainty Sets


Robust Physical-World Attacks on Deep Learning Models


Robust Probabilistic Modeling with Bayesian Data Reweighting


Robust Q-Learning under Corrupted Rewards


Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings


Robust Recovery of Subspace Structures by Low-Rank Representation


Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization


Robust Registration of Gaussian Mixtures for Colour Transfer


Robust Reinforcement Learning via Adversarial training with Langevin Dynamics


Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs


Robust Shape Estimation for 3D Deformable Object Manipulation


Robust Subspace Clustering via Thresholding


Robust Uncertainty-Aware Multiview Triangulation


Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning


Robust Unsupervised StyleGAN Image Restoration


Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling


Robust Watermarking of Neural Network with Exponential Weighting


Robust all-electrical topological valley filtering using monolayer 2D-Xenes


Robust and Communication-Efficient Collaborative Learning


Robust and Communication-Efficient Federated Learning from Non-IID Data


Robust and Efficient Medical Imaging with Self-Supervision


Robust and Efficient Swarm Communication Topologies for Hostile Environments


Robust and fine-grained prosody control of end-to-end speech synthesis


Robust estimation of the Quantum Fisher Information on a quantum processor


Robust importance-weighted cross-validation under sample selection bias


Robust linear domain decomposition schemes for reduced non-linear fracture flow models


Robust model benchmarking and bias-imbalance in data-driven materials science: a case study on MODNet


Robust nonparametric hypothesis tests for differences in the covariance structure of functional data


Robust speaker recognition using unsupervised adversarial invariance


RobustART: Benchmarking Robustness on Architecture Design and Training Techniques


RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity Detection


RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series


Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model


Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models


Robustness of ballistic transport features in antidot superlattices


Robustness via curvature regularization, and vice versa