Processes analogous to ecological interactions and dispersal shape the dynamics of economic activities


Processing HSV Colored Medical Images and Adapting Color Thresholds for Computational Image Analysis: a Practical Introduction to an open-source tool


Processing Natural Language About Ongoing Actions


Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset


Processing of missing data by neural networks


ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers


Procoli: Profiles of cosmological likelihoods


Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback


Procrustes Analysis with Deformations: A Closed-Form Solution by Eigenvalue Decomposition


Prodigy: An Expeditiously Adaptive Parameter-Free Learner


Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems


Producing Plankton Classifiers that are Robust to Dataset Shift


Producing and Leveraging Online Map Uncertainty in Trajectory Prediction


Producing augmentation-invariant embeddings from real-life imagery


Product Centered Dirichlet Processes for Bayesian Multiview Clustering


Product Information Extraction using ChatGPT


Product Manifold Representations for Learning on Biological Pathways


Product Ranking for Revenue Maximization with Multiple Purchases


Product Subset Problem : Applications to number theory and cryptography


Product of Gaussian Mixture Diffusion Models


Product of Tensors and Description of Networks


Product-Aware Answer Generation in E-Commerce Question-Answering


Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training


Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining


Production Monitoring to Improve Test Suites


Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning


Production of two, three, and four Higgs bosons: where SMEFT and HEFT depart


Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results


Productive Multitasking for Industrial Robots


Productivity Assessment of Neural Code Completion


Productivity meets Performance: Julia on A64FX


Productivity of Short Term Assets as a Signal of Future Stock Performance


Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines


Profile Consistency Identification for Open-domain Dialogue Agents


Profile Guided Optimization without Profiles: A Machine Learning Approach


Profile Likelihoods in Cosmology: When, Why and How illustrated with $Λ$CDM, Massive Neutrinos and Dark Energy


Profile Update: The Effects of Identity Disclosure on Network Connections and Language


Profile least squares estimators in the monotone single index model


Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings


Profiling Electric Vehicles via Early Charging Voltage Patterns


Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors


Profiling Gas Consumption in Solidity Smart Contracts


Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search


Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease Detection


Profiling Television Watching Behaviour Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data


Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report


Profiling minisat based on user defined execution time -- GPROF


Profiling the news spreading barriers using news headlines


ProgCo: Program Helps Self-Correction of Large Language Models


ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models


Progenitor diversity in the accreted stellar halos of Milky Way-like galaxies


Progenitor with small reaction networks should not be used as initial conditions for core collapse


Progenitors of low-mass binary black-hole mergers in the isolated binary evolution scenario


Progent: Programmable Privilege Control for LLM Agents


Prognostic Adjustment with Efficient Estimators to Unbiasedly Leverage Historical Data in Randomized Trials


Prognostic Biomarker Identification for Pancreatic Cancer by Analyzing Multiple mRNA Microarray and microRNA Expression Datasets


Prognostic relevance of gene-expression signatures


Program Dependence Net and On-demand Slicing for Property Verification of Concurrent System and Software


Program Enhanced Fact Verification with Verbalization and Graph Attention Network


Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems


Program Semantics and a Verification Technique for Knowledge-Based Multi-Agent Systems


Program Skeletons for Automated Program Translation


Program Synthesis Dialog Agents for Interactive Decision-Making


Program Synthesis as Dependency Quantified Formula Modulo Theory


Program Transfer for Answering Complex Questions over Knowledge Bases


Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks


Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test


Program-Aided Reasoners (better) Know What They Know


Programmable System on Chip for controlling an atomic physics experiment


Programmable photonic system for quantum simulation in arbitrary topologies


Programmatic Control of a Compiler for Generating High-performance Spatial Hardware


Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations


Programmatic Video Prediction Using Large Language Models


Programmers Prefer Individually Assigned Tasks vs. Shared Responsibility


Programming Really Is Simple Mathematics


Programming Robot Behaviors with Execution Management Functions


Programming multi-level quantum gates in disordered computing reservoirs via machine learning and TensorFlow


Programming with Neural Surrogates of Programs


Programming-By-Example by Programming-By-Example: Synthesis of Looping Programs


Progress and limitations of deep networks to recognize objects in unusual poses


Progress and outlook on advanced fly scans based on Mamba


Progress in deep Markov State Modeling: Coarse graining and experimental data restraints


Progress measures for grokking via mechanistic interpretability


ProgressGym: Alignment with a Millennium of Moral Progress


ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception


Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit


Progression Modelling for Online and Early Gesture Detection


Progression models for repeated measures: Estimating novel treatment effects in progressive diseases


Progression-Guided Temporal Action Detection in Videos


Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion


Progressive Attention Networks for Visual Attribute Prediction


Progressive Autoregressive Video Diffusion Models


Progressive Batching for Efficient Non-linear Least Squares


Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification


Progressive Binarization with Semi-Structured Pruning for LLMs


Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection


Progressive Class Semantic Matching for Semi-supervised Text Classification


Progressive Cluster Purification for Unsupervised Feature Learning


Progressive Compositionality In Text-to-Image Generative Models


Progressive Compressed Records: Taking a Byte out of Deep Learning Data


Progressive Confident Masking Attention Network for Audio-Visual Segmentation


Progressive Continual Learning for Spoken Keyword Spotting


Progressive Coordinate Transforms for Monocular 3D Object Detection


Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis


Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis


Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion


Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI


Progressive Domain Adaptation for Object Detection


Progressive Domain Expansion Network for Single Domain Generalization


Progressive Dual Priori Network for Generalized Breast Tumor Segmentation


Progressive Entity Resolution: A Design Space Exploration


Progressive Face Super-Resolution via Attention to Facial Landmark


Progressive Feature Fusion Network for Realistic Image Dehazing


Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation


Progressive Feedback-Enhanced Transformer for Image Forgery Localization


Progressive Focused Transformer for Single Image Super-Resolution


Progressive Frequency-Aware Network for Laparoscopic Image Desmoking


Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers


Progressive Gradient Pruning for Classification, Detection and DomainAdaptation


Progressive Hard-case Mining across Pyramid Levels for Object Detection


Progressive Human Motion Generation Based on Text and Few Motion Frames


Progressive Identification of True Labels for Partial-Label Learning


Progressive Joint Low-light Enhancement and Noise Removal for Raw Images


Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss


Progressive Learning and Disentanglement of Hierarchical Representations


Progressive Learning for Physics-informed Neural Motion Planning


Progressive Learning for Systematic Design of Large Neural Networks


Progressive LiDAR Adaptation for Road Detection


Progressive Memory Banks for Incremental Domain Adaptation


Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models


Progressive Multi-modal Conditional Prompt Tuning


Progressive Multi-resolution Loss for Crowd Counting


Progressive Multi-stage Feature Mix for Person Re-Identification


Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition


Progressive Network Grafting for Few-Shot Knowledge Distillation


Progressive Neural Network for Multi-Horizon Time Series Forecasting


Progressive Open Space Expansion for Open-Set Model Attribution


Progressive Painterly Image Harmonization from Low-level Styles to High-level Styles


Progressive Perception-Oriented Network for Single Image Super-Resolution


Progressive Poisoned Data Isolation for Training-time Backdoor Defense


Progressive Pretext Task Learning for Human Trajectory Prediction


Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation


Progressive Query Refinement Framework for Bird's-Eye-View Semantic Segmentation from Surrounding Images


Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data


Progressive Representation Adaptation for Weakly Supervised Object Localization


Progressive Representation Learning for Real-Time UAV Tracking


Progressive Scale-aware Network for Remote sensing Image Change Captioning


Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer


Progressive Self-Guided Loss for Salient Object Detection


Progressive Semantic-Aware Style Transformation for Blind Face Restoration


Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning


Progressive Sentiment Analysis for Code-Switched Text Data


Progressive Skeletonization: Trimming more fat from a network at initialization


Progressive Spatio-temporal Perception for Audio-Visual Question Answering


Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI


Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method


Progressive Tempering Sampler with Diffusion


Progressive Temporal Feature Alignment Network for Video Inpainting


Progressive Text-to-3D Generation for Automatic 3D Prototyping


Progressive Text-to-Image Diffusion with Soft Latent Direction


Progressive Training of A Two-Stage Framework for Video Restoration


Progressive Transformer-Based Generation of Radiology Reports


Progressive Transformers for End-to-End Sign Language Production


Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences


Progressive Transmission and Inference of Deep Learning Models


Progressive Transmission using Recurrent Neural Networks


Progressive Tree-Structured Prototype Network for End-to-End Image Captioning


Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization


Progressive Update Guided Interdependent Networks for Single Image Dehazing


Progressive Video Summarization via Multimodal Self-supervised Learning


Progressive Visual Prompt Learning with Contrastive Feature Re-formation


Progressive and Selective Fusion Network for High Dynamic Range Imaging


Progressive enhancement and restoration for mural images under low-light and defected conditions based on multi-receptive field strategy


Progressive-Hint Prompting Improves Reasoning in Large Language Models


Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation


ProgressiveSpinalNet architecture for FC layers


Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow


Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction


Progressively Modality Freezing for Multi-Modal Entity Alignment


Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval


Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering


Progressively Strengthening and Tuning MIP Solvers for Reoptimization


Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling


Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents


Project Dinos I: A joint lensing-dynamics constraint on the deviation from the power law in the mass profile of massive ellipticals


Project PIAF: Building a Native French Question-Answering Dataset


Project RISE: Recognizing Industrial Smoke Emissions


Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On Wikidata using LM probing


Project and Forget: Solving Large-Scale Metric Constrained Problems


Project proposal: A modular reinforcement learning based automated theorem prover


Project-Based Learning for Robot Control Theory: A Robot Operating System (ROS) Based Approach


Project-Level Encoding for Neural Source Code Summarization of Subroutines


ProjectEval: A Benchmark for Programming Agents Automated Evaluation on Project-Level Code Generation


ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms


Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization


Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering


Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning


Projected Least-Squares Quantum Process Tomography


Projected Normal Distribution: Moment Approximations and Generalizations


Projected Randomized Smoothing for Certified Adversarial Robustness


Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric


Projected Stein Variational Gradient Descent


Projected Tensor-Tensor Products for Efficient Computation of Optimal Multiway Data Representations


Projected Wasserstein gradient descent for high-dimensional Bayesian inference


Projected d-wave superconducting state: a fermionic projected entangled pair state study


Projected exponential methods for stiff dynamical low-rank approximation problems


Projected random forests and conformal prediction of circular data


Projected site-occupation embedding theory


Projected spin-orbit alignments from Kepler asteroseismology and Gaia astrometry


ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer


Projecting Molecules into Synthesizable Chemical Spaces


Projecting Robot Navigation Paths: Hardware and Software for Projected AR


Projecting dynamical systems via a support bound


Projecting social contact matrices to populations stratified by binary attributes with known homophily


Projection & Probability-Driven Black-Box Attack


Projection Based Weight Normalization for Deep Neural Networks


Projection Head is Secretly an Information Bottleneck


Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability


Projection Methods in the Context of Nematic Crystal Flow


Projection method for eigenvalue problems of linear nonsquare matrix pencils


Projection of Functionals and Fast Pricing of Exotic Options


Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI


Projection onto hyperbolicity cones and beyond: a dual Frank-Wolfe approach


Projection-Free Method for the Full Frank-Oseen Model of Liquid Crystals


Projection-based Point Convolution for Efficient Point Cloud Segmentation


Projection-based curve pattern search for black-box optimization over smooth convex sets


Projection-pursuit Bayesian regression for symmetric matrix predictors


Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis


Projections of the Transient State-Dependency of Climate Feedbacks


Projective Averages for Summarizing Redistricting Ensembles


Projective Integral Updates for High-Dimensional Variational Inference


Projective Manifold Gradient Layer for Deep Rotation Regression


Projective Methods for Mitigating Gender Bias in Pre-trained Language Models


Projective isomorphisms between rational surfaces


Projectivities of informationally complete measurements


Prolog Technology Reinforcement Learning Prover


PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks


PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)


Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components Recommendation


Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation


Prometheus: An Open-Source Neutrino Telescope Simulation


Prometheus: Inducing Fine-grained Evaluation Capability in Language Models


Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models


PromiseTune: Unveiling Causally Promising and Explainable Configuration Tuning


Promises and Pitfalls of Threshold-based Auto-labeling


PromoPlot: Covering open-access fees by filling wasted space in corner plots


Promote, Suppress, Iterate: How Language Models Answer One-to-Many Factual Queries


Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research


Promoting Counterfactual Robustness through Diversity


Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread


Promoting Fairness through Hyperparameter Optimization


Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation


Promoting High Diversity Ensemble Learning with EnsembleBench


Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and Responses


Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals


Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection


Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation


Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction


Prompt Cache: Modular Attention Reuse for Low-Latency Inference


Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation


Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words


Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference


Prompt Consistency for Zero-Shot Task Generalization


Prompt Customization for Continual Learning


Prompt Engineering for Transformer-based Chemical Similarity Search Identifies Structurally Distinct Functional Analogues


Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4


Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents


Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers


Prompt Highlighter: Interactive Control for Multi-Modal LLMs


Prompt Injection Detection and Mitigation via AI Multi-Agent NLP Frameworks


Prompt Learning for Generalized Vehicle Routing


Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation


Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction


Prompt Mixing in Diffusion Models using the Black Scholes Algorithm


Prompt Optimization via Adversarial In-Context Learning


Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars


Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking


Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition


Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models


Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains


Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models


Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models


Prompt Stealing Attacks Against Text-to-Image Generation Models


Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval


Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis


Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation


Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation


Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts


Prompt Tuning based Adapter for Vision-Language Model Adaption


Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset


Prompt Tuning for Discriminative Pre-trained Language Models


Prompt Tuning for Item Cold-start Recommendation


Prompt Tuning on Graph-augmented Low-resource Text Classification


Prompt Tuning with Soft Context Sharing for Vision-Language Models


Prompt Vision Transformer for Domain Generalization


Prompt a Robot to Walk with Large Language Models


Prompt and Conventional High-Energy Muon Spectra from a full Monte Carlo Simulation via $\texttt{CORSIKA7}$


Prompt engineering and its implications on the energy consumption of Large Language Models


Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models


Prompt sky localization of compact binary sources using a meshfree approximation


Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation


Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models


Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal


Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning


Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners


Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring


Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM


Prompt-Based Editing for Text Style Transfer


Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning


Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations


Prompt-Based Metric Learning for Few-Shot NER


Prompt-Based Spatio-Temporal Graph Transfer Learning


Prompt-Driven Temporal Domain Adaptation for Nighttime UAV Tracking


Prompt-Enhanced Software Vulnerability Detection Using ChatGPT


Prompt-Free Conditional Diffusion for Multi-object Image Augmentation


Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models


Prompt-Guided Image-Adaptive Neural Implicit Lookup Tables for Interpretable Image Enhancement


Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks


Prompt-In-Prompt Learning for Universal Image Restoration


Prompt-Learning for Cross-Lingual Relation Extraction


Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning


Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image Denoising


Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt


Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models


Prompt-Time Symbolic Knowledge Capture with Large Language Models


Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models


Prompt-aligned Gradient for Prompt Tuning


Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection


Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models


Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition


Prompt-based Distribution Alignment for Unsupervised Domain Adaptation


Prompt-based Effective Input Reformulation for Legal Case Retrieval


Prompt-based Grouping Transformer for Nucleus Detection and Classification


Prompt-based Ingredient-Oriented All-in-One Image Restoration


Prompt-based Learning for Text Readability Assessment


Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition


Prompt-based Multi-interest Learning Method for Sequential Recommendation


Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation


Prompt-based test-time real image dehazing: a novel pipeline


Prompt-driven Latent Domain Generalization for Medical Image Classification


Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation


Prompt-enhanced Network for Hateful Meme Classification


Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation


Prompt2Fashion: An automatically generated fashion dataset


Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images


Prompt: Probability-Conserved Cross Section Biasing Monte Carlo Particle Transport System


PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection


PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts


PromptBERT: Improving BERT Sentence Embeddings with Prompts


PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery


PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification


PromptCIR: Blind Compressed Image Restoration with Prompt Learning


PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning


PromptCap: Prompt-Guided Task-Aware Image Captioning


PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting


PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement


PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models


PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners


PromptDet: Towards Open-vocabulary Detection using Uncurated Images


PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference


PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask


PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning


PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching


PromptFix: You Prompt and We Fix the Photo


PromptFusion: Decoupling Stability and Plasticity for Continual Learning


PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptation


PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts


PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning


PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking


PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching


PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning


PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation


PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models


PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation


PromptMap: An Alternative Interaction Style for AI-Based Image Generation


PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation


PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search


PromptNER: Prompt Locating and Typing for Named Entity Recognition


PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extraction


PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions


PromptPex: Automatic Test Generation for Language Model Prompts


PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal


PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval


PromptShots at the FinNLP-2022 ERAI Tasks: Pairwise Comparison and Unsupervised Ranking


PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning


PromptVFX: Text-Driven Fields for Open-World 3D Gaussian Animation


Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences


Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs


Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis


Promptable cancer segmentation using minimal expert-curated data


Prompted Contextual Vectors for Spear-Phishing Detection


Prompted LLMs as Chatbot Modules for Long Open-domain Conversation


Prompted Opinion Summarization with GPT-3.5


Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation


Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation


Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models


Prompting Fairness: Artificial Intelligence as Game Players


Prompting Frameworks for Large Language Models: A Survey


Prompting Is All You Need: Automated Android Bug Replay with Large Language Models


Prompting Language-Informed Distribution for Compositional Zero-Shot Learning


Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data


Prompting Large Language Models with Audio for General-Purpose Speech Summarization


Prompting Large Vision-Language Models for Compositional Reasoning


Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images


Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation


Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer


Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes


Prompting Visual-Language Models for Dynamic Facial Expression Recognition


Prompting Visual-Language Models for Efficient Video Understanding


Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration


Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification


Prompting as Probing: Using Language Models for Knowledge Base Construction


Prompting is not a substitute for probability measurements in large language models


Prompting or Fine-tuning? A Comparative Study of Large Language Models for Taxonomy Construction


Prompting-based Synthetic Data Generation for Few-Shot Question Answering


Promptly Predicting Structures: The Return of Inference


Prompto: An open source library for asynchronous querying of LLM endpoints


Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models


Prompts Matter: Insights and Strategies for Prompt Engineering in Automated Software Traceability


Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion


Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses


ProoFVer: Natural Logic Theorem Proving for Fact Verification


Proof Generation for CDCL Solvers Using Gauss-Jordan Elimination


Proof Number Based Monte-Carlo Tree Search


Proof Outlines as Proof Certificates: A System Description


Proof Theory of Partially Normal Skew Monoidal Categories


Proof of Federated Training: Accountable Cross-Network Model Training and Inference


Proof of Training (PoT): Harnessing Crypto Mining Power for Distributed AI Training


Proof of Unlearning: Definitions and Instantiation


Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios


Proof of the $K(\pi,1)$ conjecture for affine Artin groups


Proof-of-Collaborative-Learning: A Multi-winner Federated Learning Consensus Algorithm


Proof-of-Learning is Currently More Broken Than You Think


Proof-of-Learning: Definitions and Practice


Proof-theoretic methods in quantifier-free definability


ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics


Proofs of Proof-of-Stake with Sublinear Complexity


Proofs of network quantum nonlocality in continuous families of distributions


PropMEND: Hypernetworks for Knowledge Propagation in LLMs


PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels


PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent


Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine


Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs


Propaganda via AI? A Study on Semantic Backdoors in Large Language Models


Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks


Propagating Knowledge Updates to LMs Through Distillation


Propagating State Uncertainty Through Trajectory Forecasting


Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing


Propagation Constant Measurement Based on a Single Transmission Line Standard Using a Two-port VNA


Propagation Measurements and Analyses at 28 GHz via an Autonomous Beam-Steering Platform


Propagation Networks for Model-Based Control Under Partial Observation


Propagation and Attribution of Uncertainty in Medical Imaging Pipelines


Propagation of Chaos in One-hidden-layer Neural Networks beyond Logarithmic Time


Propagation of rays in 2D and 3D waveguides: a stability analysis with Lyapunov and Reversibility fast indicators


Propensity Score Alignment of Unpaired Multimodal Data


Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments


Propensity Score Weighting for Causal Subgroup Analysis


Propensity matrix method for age dependent stochastic infectious disease models


Propensity of water self-ions at air(oil)-water interfaces revealed by deep potential molecular dynamics with enhanced sampling


Propensity score models are better when post-calibrated


Propensity weighting plus adjustment in proportional hazards model is not doubly robust


Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty


Proper Laplacian Representation Learning


Proper Network Interpretability Helps Adversarial Robustness in Classification


Proper Orthogonal Descriptors for Efficient and Accurate Interatomic Potentials


Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation


Proper Scoring Rules for Survival Analysis


Proper motions of Milky Way Ultra-Faint satellites with ${\it Gaia}$ DR2 $\times$ DES DR1


Proper scoring rules for evaluating asymmetry in density forecasting


Properties beyond mass for unresolved haloes across redshift and cosmology using correlations with local halo environment


Properties of Marginal Sequential Monte Carlo Methods


Properties of Position Matrices and Their Elections


Properties of Test Statistics for Nonparametric Cointegrating Regression Functions Based on Subsamples


Properties of binary systems in a one-dimensional approximation


Properties of fairness measures in the context of varying class imbalance and protected group ratios


Properties of globular clusters formed in dark matter mini-halos


Properties of materials considered for improvised masks


Properties of the ENCE and other MAD-based calibration metrics


Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist


Property Directed Reachability with Extended Resolution


Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models


Property Neurons in Self-Supervised Speech Transformers


PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation


Prophet Secretary and Matching: the Significance of the Largest Item


Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering


ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model


Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning


Proportional asymptotics of piecewise exponential proportional hazards models


Proportional marginal effects for global sensitivity analysis


Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density


Proposal of a micromagnetic standard problem for ferromagnetic resonance simulations


Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation


Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization


Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning


Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector


Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention


ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection


Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition


Proposed Five-Electron Charge Quadrupole Qubit


Proposition-Level Clustering for Multi-Document Summarization


Propositional Dynamic Logic has Craig Interpolation: a tableau-based proof


Proprioception Is All You Need: Terrain Classification for Boreal Forests


Proprioceptive Invariant Robot State Estimation


Proprioceptive State Estimation of Legged Robots with Kinematic Chain Modeling


Propulsion: Steering LLM with Tiny Fine-Tuning


Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetry


ProsocialDialog: A Prosocial Backbone for Conversational Agents


Prosodic Features from Large Corpora of Child-Directed Speech as Predictors of the Age of Acquisition of Words


Prosodic Phrase Alignment for Machine Dubbing


Prosodic features improve sentence segmentation and parsing


Prosody as a Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications


Prosody-Driven Privacy-Preserving Dementia Detection


Prospect Personalized Recommendation on Large Language Model-based Agent Platform


Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients


Prospective Learning: Learning for a Dynamic Future


Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes


Prospectively accelerated dynamic speech MRI at 3 Tesla using a self-navigated spiral based manifold regularized scheme


Prospector Heads: Generalized Feature Attribution for Large Models & Data


Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care


Prospects for Measuring Cosmic Microwave Background Spectral Distortions in the Presence of Foregrounds


Prospects for Measuring the Hubble Constant with Neutron-Star-Black-Hole Mergers


Prospects for detecting gravitational waves from eccentric subsolar mass compact binaries


Prospects for detecting new dark physics with the next generation of atomic clocks


Prospects for determining the particle/antiparticle nature of WIMP dark matter with direct detection experiments


Prospects for future studies using deep imaging: Analysis of individual Galactic cirrus filaments


Prospects for inconsistency detection using large language models and sheaves


Prospects for indirect MeV Dark Matter detection with Gamma Rays in light of Cosmic Microwave Background Constraints


Prospects for optical detections from binary neutron star mergers with the next-generation multi-messenger observatories


Prospects for the detection of transient neutrino sources with PLEnuM


Prospects of Quantum Error Mitigation for Quantum Signal Processing


Prospects of direct detection of $^{48}$V gamma-rays from thermonuclear supernovae


Prospects of gravitational-waves detections from common-envelope evolution with LISA


Prosperity: Accelerating Spiking Neural Networks via Product Sparsity


Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer


Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure


Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment


Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers


Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction


ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning


ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solution


ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids


ProtRank: Bypassing the imputation of missing values in differential expression analysis of proteomic data


ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics


ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts


ProtSolM: Protein Solubility Prediction with Multi-modal Features


ProtT3: Protein-to-Text Generation for Text-based Protein Understanding


ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing


Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling


Protecting Actuators in Safety-Critical IoT Systems from Control Spoofing Attacks


Protecting Celebrities from DeepFake with Identity Consistency Transformer


Protecting Classifiers From Attacks. A Bayesian Approach


Protecting Data Buyer Privacy in Data Markets


Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer


Protecting Geolocation Privacy of Photo Collections


Protecting Global Properties of Datasets with Distribution Privacy Mechanisms


Protecting Intellectual Property of EEG-based Neural Networks with Watermarking


Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack


Protecting Intellectual Property of Language Generation APIs with Lexical Watermark


Protecting Memory-Performance Critical Sections in Soft Real-Time Applications


Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses


Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use


Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench


Protecting Privacy in Software Logs: What Should Be Anonymized?


Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation


Protecting Voice-Controlled Devices against LASER Injection Attacks


Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations


Protecting real-time GPU kernels on integrated CPU-GPU SoC platforms


Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality


Protein Conformation Generation via Force-Guided SE(3) Diffusion Models


Protein Conformational States: A First Principles Bayesian Method


Protein Design with Guided Discrete Diffusion


Protein Discovery with Discrete Walk-Jump Sampling


Protein Language Models and Structure Prediction: Connection and Progression


Protein Large Language Models: A Comprehensive Survey


Protein Multimer Structure Prediction via Prompt Learning


Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling


Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks


Protein Sequence Design with Batch Bayesian Optimisation


Protein Structure Tokenization: Benchmarking and New Recipe


Protein language model rescue mutations highlight variant effects and structure in clinically relevant genes


Protein language models trained on multiple sequence alignments learn phylogenetic relationships


Protein structure generation via folding diffusion


Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learning


Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening


Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer


Protein-to-genome alignment with miniprot


ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding


Proteina: Scaling Flow-based Protein Structure Generative Models


Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems


Proteome-informed machine learning studies of cocaine addiction


Proteome-wide prediction of mode of inheritance and molecular mechanism underlying genetic diseases using structural interactomics


Proteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia


Proteus: Preserving Model Confidentiality during Graph Optimizations


ProtiGeno: a prokaryotic short gene finder using protein language models


Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning


Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models


Proto2Proto: Can you recognize the car, the way I do?


ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging


ProtoBeam: Generalizing Deep Beam Prediction to Unseen Antennas using Prototypical Networks


ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion


ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning


ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning


ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery


ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data


ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection


ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification


ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning


ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder


ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition


ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning


ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics


ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts


ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI


ProtoTEx: Explaining Model Decisions with Prototype Tensors


ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model


Protocol for generating an arbitrary quantum state of the magnetization in cavity magnonics


Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting


Protocol-independent Detection of "Messaging Ordering" Network Covert Channels


Protocols for creating and distilling multipartite GHZ states with Bell pairs


Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing


Protoplanetary Disk Polarization at Multiple Wavelengths: Are Dust Populations Diverse?


ProtoryNet - Interpretable Text Classification Via Prototype Trajectories


Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation


Prototype Based Classification from Hierarchy to Fairness


Prototype Knowledge Distillation for Medical Segmentation with Missing Modality


Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI


Prototype Learning for Interpretable Respiratory Sound Analysis


Prototype Mixture Models for Few-shot Semantic Segmentation


Prototype Open Event Reconstruction Pipeline for the Cherenkov Telescope Array


Prototype as Query for Few Shot Semantic Segmentation


Prototype-Based Information Compensation Network for Multi-Source Remote Sensing Data Classification


Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identification


Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation


Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation


Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction


Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning


Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning


Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval


Prototype-based Embedding Network for Scene Graph Generation


Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning


Prototype-based Incremental Few-Shot Semantic Segmentation


Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges


Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks


Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing


Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition


Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation


Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition


Prototypical Contrastive Learning of Unsupervised Representations


Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation


Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation


Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation


Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery


Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction


Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation


Prototypical Representation Learning for Relation Extraction


Prototypical Self-Explainable Models Without Re-training


Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection


Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration


Prototyping Low-Cost Automatic Weather Stations for Natural Disaster Monitoring


Prototyping Software Transceiver for the 5G New Radio Physical Uplink Shared Channel


ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows


Provable Adversarial Robustness for Fractional Lp Threat Models


Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations


Provable Benefits of Complex Parameterizations for Structured State Space Models


Provable Benefits of Task-Specific Prompts for In-context Learning


Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes


Provable Compositional Generalization for Object-Centric Learning


Provable Continual Learning via Sketched Jacobian Approximations


Provable Data Subset Selection For Efficient Neural Network Training


Provable Defense Against Geometric Transformations


Provable Defense against Backdoor Policies in Reinforcement Learning


Provable Dynamic Fusion for Low-Quality Multimodal Data


Provable Dynamic Robust PCA or Robust Subspace Tracking


Provable Execution in Real-Time Embedded Systems


Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise


Provable Guarantees for Gradient-Based Meta-Learning


Provable Guarantees for Understanding Out-of-distribution Detection


Provable Guarantees on the Robustness of Decision Rules to Causal Interventions


Provable Hierarchical Imitation Learning via EM


Provable Meta-Learning of Linear Representations


Provable Multi-instance Deep AUC Maximization with Stochastic Pooling


Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning


Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents


Provable Privacy Attacks on Trained Shallow Neural Networks


Provable Probabilistic Imaging using Score-Based Generative Priors


Provable Quantum Algorithm Advantage for Gaussian Process Quadrature


Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization


Provable Robustness Against a Union of $\ell_0$ Adversarial Attacks


Provable Robustness of ReLU networks via Maximization of Linear Regions


Provable Subspace Tracking from Missing Data and Matrix Completion


Provable Training for Graph Contrastive Learning


Provable and Efficient Continual Representation Learning


Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent


Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo


Provable optimal transport with transformers: The essence of depth and prompt engineering


Provably Adversarially Robust Nearest Prototype Classifiers


Provably Bounding Neural Network Preimages


Provably Confidential Language Modelling


Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels


Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation


Provably Correct Optimization and Exploration with Non-linear Policies


Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing


Provably Efficient Adversarial Imitation Learning with Unknown Transitions


Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning


Provably Efficient Imitation Learning from Observation Alone


Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits


Provably End-to-end Label-Noise Learning without Anchor Points


Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs


Provably Fast and Space-Efficient Parallel Biconnectivity


Provably Faster Algorithms for Bilevel Optimization


Provably Faster Gradient Descent via Long Steps


Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size


Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup


Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead


Provably Personalized and Robust Federated Learning


Provably Reliable Large-Scale Sampling from Gaussian Processes


Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks


Provably Robust Conformal Prediction with Improved Efficiency


Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks


Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction


Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation


Provably Safe Neural Network Controllers via Differential Dynamic Logic


Provably Safe PAC-MDP Exploration Using Analogies


Provably Secure Disambiguating Neural Linguistic Steganography


Provably Secure Generative Linguistic Steganography


Provably Secure Public-Key Steganography Based on Admissible Encoding


Provably Trainable Rotationally Equivariant Quantum Machine Learning


Provably Unlinkable Smart Card-based Payments


Provably and Efficiently Approximating Near-cliques using the Tur\'an Shadow: PEANUTS


Provably convergent stochastic fixed-point algorithm for free-support Wasserstein barycenter of continuous non-parametric measures


Provably efficient RL with Rich Observations via Latent State Decoding


Provably efficient machine learning for quantum many-body problems


Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry


Provably expressive temporal graph networks


Provably-Safe, Online System Identification


Provably-Stable Neural Network-Based Control of Nonlinear Systems


ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs


Provenance Filtering for Multimedia Phylogeny


Provenance for Linguistic Corpora Through Nanopublications


ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance


ProvideQ: A Quantum Optimization Toolbox


Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems


Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction


Providing More Efficient Access To Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege


Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders


Providing Safety Assurances for Systems with Unknown Dynamics


Providing reliability in Recommender Systems through Bernoulli Matrix Factorization


Proving Differential Privacy with Shadow Execution


Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning


Proving Soundness of Extensional Normal-Form Bisimilarities


Proving Test Set Contamination in Black Box Language Models


Proving that Cryptic Crossword Clue Answers are Correct


Proving tree algorithms for succinct data structures


Prox-PINNs: A Deep Learning Algorithmic Framework for Elliptic Variational Inequalities


ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation


ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning


ProxQuant: Quantized Neural Networks via Proximal Operators


ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization


Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop


Proxima. A DAG based cooperative distributed ledger


Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging


Proximal Causal Inference With Text Data


Proximal Curriculum for Reinforcement Learning Agents


Proximal Curriculum with Task Correlations for Deep Reinforcement Learning


Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization


Proximal Distilled Evolutionary Reinforcement Learning


Proximal Galerkin: A structure-preserving finite element method for pointwise bound constraints


Proximal Gradient Algorithms under Local Lipschitz Gradient Continuity: A Convergence and Robustness Analysis of PANOC


Proximal Interacting Particle Langevin Algorithms


Proximal Iteration for Nonlinear Adaptive Lasso


Proximal Langevin Sampling With Inexact Proximal Mapping


Proximal Learning With Opponent-Learning Awareness


Proximal Mapping for Deep Regularization


Proximal Mean Field Learning in Shallow Neural Networks


Proximal Mean-field for Neural Network Quantization


Proximal Optimal Transport Modeling of Population Dynamics


Proximal Point Method for Online Saddle Point Problem


Proximal Policy Optimization with Adaptive Exploration


Proximal Policy Optimization with Mixed Distributed Training


Proximal Quasi-Newton Method for Composite Optimization over the Stiefel Manifold


Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes


Proximal Residual Flows for Bayesian Inverse Problems


Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization


Proximal and Federated Random Reshuffling


Proximal methods for point source localisation


Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series


Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity Analysis


Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition


Proximity-Informed Calibration for Deep Neural Networks


Proxion: Uncovering Hidden Proxy Smart Contracts for Finding Collision Vulnerabilities in Ethereum


Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery


Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery


Proxy-based Item Representation for Attribute and Context-aware Recommendation


ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation


ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection


ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer


ProxyGPT: Enabling User Anonymity in LLM Chatbots via (Un)Trustworthy Volunteer Proxies


ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style Transfer


ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models


ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation


ProxyThinker: Test-Time Guidance through Small Visual Reasoners


Proxying ROS communications -- enabling containerized ROS deployments in distributed multi-host environments


PruMUX: Augmenting Data Multiplexing with Model Compression


Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation


PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression


PruneVid: Visual Token Pruning for Efficient Video Large Language Models


Pruned Convolutional Attention Network Based Wideband Spectrum Sensing with Sub-Nyquist Sampling


Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models


Pruner: A Speculative Exploration Mechanism to Accelerate Tensor Program Tuning


Pruning Adversarially Robust Neural Networks without Adversarial Examples


Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers


Pruning Deep Neural Networks from a Sparsity Perspective


Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets


Pruning Everything, Everywhere, All at Once


Pruning Foundation Models for High Accuracy without Retraining


Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks


Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations


Pruning Large Language Models with Semi-Structural Adaptive Sparse Training


Pruning Multilingual Large Language Models for Multilingual Inference


Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters


Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge


Pruning Pre-trained Language Models Without Fine-Tuning


Pruning Pre-trained Language Models with Principled Importance and Self-regularization


Pruning Randomly Initialized Neural Networks with Iterative Randomization


Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs


Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy


Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization


Pruning and Slicing Neural Networks using Formal Verification


Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning


Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight


Pruning for Better Domain Generalizability


Pruning for Feature-Preserving Circuits in CNNs


Pruning neural network models for gene regulatory dynamics using data and domain knowledge


Pruning of Convolutional Neural Networks Using Ising Energy Model


Pruning of Deep Spiking Neural Networks through Gradient Rewiring


Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models


Pruning via Iterative Ranking of Sensitivity Statistics


Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging


Pruning vs Quantization: Which is Better?


Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices


Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks


Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure


Pruning-aware Sparse Regularization for Network Pruning


Präzi: From Package-based to Call-based Dependency Networks


Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference


PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language


Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification


Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation


Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network


Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization


Pseudo Nambu-Goldstone Dark Matter: Examples of Vanishing Direct Detection Cross Section


Pseudo Random Number Generation: a Reinforcement Learning approach


Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes


Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution


Pseudo strong labels for large scale weakly supervised audio tagging


Pseudo-$R^2$ statistics under complex sampling


Pseudo-3D visualization of Faraday structure in polarized radio sources: methods, science use cases, and development priorities


Pseudo-4D view of the growth and form of locked eutectic colonies


Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior


Pseudo-Differential Neural Operator: Generalized Fourier Neural Operator for Learning Solution Operators of Partial Differential Equations


Pseudo-Energy-Preserving Explicit Runge-Kutta Methods


Pseudo-Fragment Approach for Extended Systems Derived from Linear-Scaling DFT


Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser


Pseudo-Inverted Bottleneck Convolution for DARTS Search Space


Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection


Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery


Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation


Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music


Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning


Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition


Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift


Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving


Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving


Pseudo-Majorana functional renormalization for frustrated XXZ spin-1/2 models with field or magnetization along the spin-Z direction at finite temperature


Pseudo-Polynomial Time Algorithm for Computing Moments of Polynomials in Free Semicircular Elements


Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification


Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation


Pseudo-Random UAV Test Generation Using Low-Fidelity Path Simulator


Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting


Pseudo-Riemannian Graph Convolutional Networks


Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving


Pseudo-healthy synthesis with pathology disentanglement and adversarial learning


Pseudo-label Alignment for Semi-supervised Instance Segmentation


Pseudo-labeling with Keyword Refining for Few-Supervised Video Captioning


Pseudo-supervised Deep Subspace Clustering


PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population


Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression


Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs


Pseudolabel guided pixels contrast for domain adaptive semantic segmentation


Pseudospectral roaming contour integral methods for convection-diffusion equations


PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning


Psitrum: An Open Source Simulator for Universal Quantum Computers


PsyChat: A Client-Centric Dialogue System for Mental Health Support


PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection


PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements


PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling


PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children


PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models


PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling


PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait


PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety


PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health


Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression


Psycho-linguistic differences among competing vaccination communities on social media


Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images


Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models


Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models


Psychometric Predictive Power of Large Language Models


Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach


PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation


Pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets In TESS Primary Mission Photometry


Ptolemy: Architecture Support for Robust Deep Learning


PtrHash: Minimal Perfect Hashing at RAM Throughput


PtyRAD: A High-performance and Flexible Ptychographic Reconstruction Framework with Automatic Differentiation


PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction


Ptychopy: GPU framework for ptychographic data analysis


PuLID: Pure and Lightning ID Customization via Contrastive Alignment


PuMer: Pruning and Merging Tokens for Efficient Vision Language Models


PuSHR: A Multirobot System for Nonprehensile Rearrangement


PuTR: A Pure Transformer for Decoupled and Online Multi-Object Tracking


Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations


Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations


Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification


Public efforts to reduce disease transmission implied from a spatial game


Public policy for management of forest pests within an ownership mosaic


Publication Bias in Asset Pricing Research


Publication Patterns' Changes due to the COVID-19 Pandemic: A longitudinal and short-term scientometric analysis


Publication bias and the canonization of false facts


Publicly Auditable MPC-as-a-Service with succinct verification and universal setup


Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes


Publicly auditable privacy-preserving electoral rolls


Publicly-Detectable Watermarking for Language Models


Publish on Ping: A Better Way to Publish Reservations in Memory Reclamation for Concurrent Data Structures


Publish-Subscribe Framework for Event Management in IoT-based Applications


Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy


Publishing computational research -- A review of infrastructures for reproducible and transparent scholarly communication


Pudding: Private User Discovery in Anonymity Networks


Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network


Pufferfish: Communication-efficient Models At No Extra Cost


Pull Request Latency Explained: An Empirical Overview


Pull out all the stops: Textual analysis via punctuation sequences


Pull-back Geometry of Persistent Homology Encodings


Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning


Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation


Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing


Pulling apart the mechanisms that lead to jammed knitted fabrics


Pulling back symmetric Riemannian geometry for data analysis


PulmoFusion: Advancing Pulmonary Health with Efficient Multi-Modal Fusion


Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks


Pulsar Candidate Classification Using A Computer Vision Method Combining with Convolution and Attention


Pulsar Candidate Identification Using Semi-Supervised Generative Adversarial Networks


Pulsar Scintillation through Thick and Thin: Bow Shocks, Bubbles, and the Broader Interstellar Medium


PulsarX: a new pulsar searching package -I. A high performance folding program for pulsar surveys


Pulsating iron spectral features in the emission of X-ray pulsar V0332+53


PulsatioMech: An Open-Source MATLAB Toolbox for Seismocardiography Signal Processing


Pulscan: Binary pulsar detection using unmatched filters on NVIDIA GPUs


Pulse area theorem in a single mode waveguide and its application to photon echo and optical memory in Tm3+:Y3Al5O12


Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU


Pulse-echo ultrasound attenuation tomography


Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays


Pump Up Password Security! Evaluating and Enhancing Risk-Based Authentication on a Real-World Large-Scale Online Service


Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations


Pun-GAN: Generative Adversarial Network for Pun Generation


PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation


Punctuation Restoration Improves Structure Understanding Without Supervision


Punctuation Restoration for Singaporean Spoken Languages: English, Malay, and Mandarin


Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction


PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation


Pure Bayesian Nash equilibrium for Bayesian games with multidimensional vector Types and linear payoffs


Pure Exploration in Bandits with Linear Constraints


Pure Message Passing Can Estimate Common Neighbor for Link Prediction


Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images


Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation


Pure Transformers are Powerful Graph Learners


PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation


Purified and Unified Steganographic Network


Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders


Purported quantitative support for multiple introductions of SARS-CoV-2 into humans is an artefact of an imbalanced hypothesis testing framework


Pursuing Top Growth with Novel Loss Function


Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise


Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games


Push- and Pull-based Effective Communication in Cyber-Physical Systems


Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds


Push: Concurrent Probabilistic Programming for Bayesian Deep Learning


PushNet: Efficient and Adaptive Neural Message Passing


PushPull-Net: Inhibition-driven ResNet robust to image corruptions


PushWorld: A benchmark for manipulation planning with tools and movable obstacles


Pushdown Layers: Encoding Recursive Structure in Transformer Language Models


Pushing Least-Squares Deconvolution to the next level: application to binary stars


Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning


Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach


Pushing The Limits of the Wiener Filter in Image Denoising


Pushing Through Clutter With Movability Awareness of Blocking Obstacles


Pushing coarse-grained models beyond the continuum limit using equation learning


Pushing it out of the Way: Interactive Visual Navigation


Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features


Pushing the Boundaries of Private, Large-Scale Query Answering


Pushing the Boundaries of Tractable Multiperspective Reasoning: A Deduction Calculus for Standpoint EL+


Pushing the Limits of Extreme Weather: Constructing Extreme Heatwave Storylines with Differentiable Climate Models


Pushing the Limits of Machine Design: Automated CPU Design with AI


Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain


Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025


Pushing the Limits of Zero-shot End-to-End Speech Translation


Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materials


Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs


Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models


Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation


Pushing the boundaries of event subsampling in event-based video classification using CNNs


Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?


Pushing the limits of the Cosmic Origin Spectrograph (COS) with an optimized background correction


Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena


Putative cell type discovery from single-cell gene expression data


Putin's peaks: Russian election data revisited


Putting Context in Context: the Impact of Discussion Structure on Text Classification


Putting GPT-3's Creativity to the (Alternative Uses) Test


Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter


Putting People in Their Place: Affordance-Aware Human Insertion into Scenes


Putting People in their Place: Monocular Regression of 3D People in Depth


Putting a Padlock on Lambda -- Integrating vTPMs into AWS Firecracker


Putting the Count Back Into Accountability: An Analysis of Transparency Data About the Sexual Exploitation of Minors


Putting the Object Back into Video Object Segmentation


Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance


Putting visual object recognition in context


Putting words in context: LSTM language models and lexical ambiguity


Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup


Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction


Puzzle-AE: Novelty Detection in Images through Solving Puzzles


PuzzleAvatar: Assembling 3D Avatars from Personal Albums


PuzzleBoard: A New Camera Calibration Pattern with Position Encoding


PuzzleBots: Physical Coupling of Robot Swarms


PuzzleFlex: kinematic motion of chains with loose joints


PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify


PuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles


Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint


Puzzles in geometry that I know and love


Pwned: How Often Are Americans' Online Accounts Breached?


Py-Feat: Python Facial Expression Analysis Toolbox


PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation with Devito


PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting


PyAutoLens: Open-Source Strong Gravitational Lensing


PyBench: Evaluating LLM Agent on various real-world coding tasks


PyBryt: auto-assessment and auto-grading for computational thinking


PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals


PyCG: Practical Call Graph Generation in Python


PyCSP3: Modeling Combinatorial Constrained Problems in Python


PyCellMech: A shape-based feature extraction pipeline for use in medical and biological studies


PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR


PyCharge: An open-source Python package for self-consistent electrodynamics simulations of Lorentz oscillators and moving point charges


PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration


PyCrystalField: Software for Calculation, Analysis, and Fitting of Crystal Electric Field Hamiltonians


PyExaFMM: an exercise in designing high-performance software with Python and Numba


PyExamine A Comprehensive, UnOpinionated Smell Detection Tool for Python


PyExperimenter: Easily distribute experiments and track results


PyFRep: Shape Modeling with Differentiable Function Representation


PyFlyt -- UAV Simulation Environments for Reinforcement Learning Research


PyFstat: a Python package for continuous gravitational-wave data analysis


PyGRF: An improved Python Geographical Random Forest model and case studies in public health and natural disasters


PyGRO: a Python Integrator for General Relativistic Orbits


PyGen: A Collaborative Human-AI Approach to Python Package Creation


PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures


PyGlove: Efficiently Exchanging ML Ideas as Code


PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips


PyHHMM: A Python Library for Heterogeneous Hidden Markov Models


PyHealth: A Python Library for Health Predictive Models


PyHexTop: a compact Python code for topology optimization using hexagonal elements


PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in Seconds


PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic Systems


PyJobShop: Solving scheduling problems with constraint programming in Python


PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch


PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python


PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator


PyLO: Towards Accessible Learned Optimizers in PyTorch


PyLRO: A Python Calculator for Analyzing Long Range Structural Order


PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis


PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch


PyLongslit: a simple manual Python pipeline for processing of astronomical long-slit spectra recorded with CCD detectors


PyMOLfold: Interactive Protein and Ligand Structure Prediction in PyMOL


PyMsOfa: A Python Package for the Standards of Fundamental Astronomy (SOFA) Service


PyNAPLE: Lunar Surface Impact Crater Detection


PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing


PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image Sensors


PyNeRF: Pyramidal Neural Radiance Fields


PyNeuralFx: A Python Package for Neural Audio Effect Modeling


PyNose: A Test Smell Detector For Python


PyODDS: An End-to-End Outlier Detection System


PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments


PyOcto: A high-throughput seismic phase associator


PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization


PyPLUTO: a data analysis Python package for the PLUTO code


PyPSA-Spain: an extension of PyPSA-Eur to model the Spanish energy system


PyPackIT: Automated Research Software Engineering for Scientific Python Applications on GitHub


PyPanda: a Python Package for Gene Regulatory Network Reconstruction


PyParSVD: A streaming, distributed and randomized singular-value-decomposition library


PyPhi: A toolbox for integrated information theory


PyPlutchik: visualising and comparing emotion-annotated corpora


PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization


PyProcar: A Python library for electronic structure pre/post-processing


PyQBench: a Python library for benchmarking gate-based quantum computers


PyRCA: A Library for Metric-based Root Cause Analysis


PyRCN: A Toolbox for Exploration and Application of Reservoir Computing Networks


PyRIDE: An Interactive Development Environment for PR2 Robot


PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System


PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages


PyReason: Software for Open World Temporal Logic


PyRelationAL: a python library for active learning research and development


PyResBugs: A Dataset of Residual Python Bugs for Natural Language-Driven Fault Injection


PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks


PyRigi -- a general-purpose Python package for the rigidity and flexibility of bar-and-joint frameworks


PyRobot: An Open-source Robotics Framework for Research and Benchmarking


PySAD: A Streaming Anomaly Detection Framework in Python


PySAGES: flexible, advanced sampling methods accelerated with GPUs


PySBD: Pragmatic Sentence Boundary Disambiguation


PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs


PySCo: A fast Particle-Mesh $N$-body code for modified gravity simulations in Python


PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library


PySLHA: a Pythonic interface to SUSY Les Houches Accord data


PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing


PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments


PyStructureFactor: A Python code for the molecular structure factor in tunneling ionization rates


PyTAIL: Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data


PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models


PyTICS: An Iterative Method for Photometric Lightcurve Intercalibration using Comparison Stars


PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control


PyTSK: A Python Toolbox for TSK Fuzzy Systems


PyTester: Deep Reinforcement Learning for Text-to-Testcase Generation


PyThaiNLP: Thai Natural Language Processing in Python


PyTomography: A Python Library for Medical Image Reconstruction


PyTopo3D: A Python Framework for 3D SIMP-based Topology Optimization


PyTorch Distributed: Experiences on Accelerating Data Parallel Training


PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel


PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning


PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network


PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs


PyTorch-Hebbian: facilitating local learning in a deep learning framework


PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction


PyTorchDIA: A flexible, GPU-accelerated numerical approach to Difference Image Analysis


PyTorchFire: A GPU-Accelerated Wildfire Simulator with Differentiable Cellular Automata


PyTorchPipe: a framework for rapid prototyping of pipelines combining language and vision


PyTouch: A Machine Learning Library for Touch Processing


PyTreeNet: A Python Library for easy Utilisation of Tree Tensor Networks


PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications


PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning Projects


PyTy: Repairing Static Type Errors in Python


PyUAT: Open-source Python framework for efficient and scalable cell tracking


PyWolf: A PyOpenCL implementation for simulating the propagation of partially coherent light


PyZoBot: A Platform for Conversational Information Extraction and Synthesis from Curated Zotero Reference Libraries through Advanced Retrieval-Augmented Generation


PyamilySeq: A Python Tool for Interpretable Gene (Re)Clustering and Pangenomic Inference Across Species and Genera


Pychastic: Precise Brownian Dynamics using Taylor-Itō integrators in Python


Pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural Networks


Pydrofoil: accelerating Sail-based instruction set simulators


Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases


Pylon: Semantic Table Union Search in Data Lakes


Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation


Pymc-learn: Practical Probabilistic Machine Learning in Python


Pyndri: a Python Interface to the Indri Search Engine


Pynsett: A programmable relation extractor


PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift


Pyramid Adversarial Training Improves ViT Performance


Pyramid Attention Network for Medical Image Registration


Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Images


Pyramid Diffusion Models For Low-light Image Enhancement


Pyramid Grafting Network for One-Stage High Resolution Saliency Detection


Pyramid Hierarchical Transformer for Hyperspectral Image Classification


Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation


Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action Recognition


Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap


Pyramid Transform of Manifold Data via Subdivision Operators


Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus


PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction


PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling


Pyramidal Attention for Saliency Detection


Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training


Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory


Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging


Pyro: Deep Universal Probabilistic Programming


Pyrometheus: Symbolic abstractions for XPU and automatically differentiated computation of combustion kinetics and thermodynamics


Pyrovskite: A software package for the high throughput construction, analysis, and featurization of two- and three-dimensional perovskite systems


Pytearcat: PYthon TEnsor AlgebRa calCulATor


Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning


Pythia: AI-assisted Code Completion System


Pythia: a Framework for the Automated Analysis of Web Hosting Environments


Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism


Python Code Generation by Asking Clarification Questions


Python Implementation of the Dynamic Distributed Dimensional Data Model


Python Radiative Transfer Emission code (PyRaTE): non-LTE spectral lines simulations


Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs


Python for Smarter Cities: Comparison of Python libraries for static and interactive visualisations of large vector data


Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts


Python workflow for segmenting multiphase flow in porous rocks


Python-based DSL for generating Verilog model of Synchronous Digital Circuits


Pyxis: An Open-Source Performance Dataset of Sparse Accelerators


Pz Cats: Photometric redshift catalogs based on DES Y3 BAO sample


Q&A MAESTRO: Q&A Post Recommendation for Fixing Java Runtime Exceptions


Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge


Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement


Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning


Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation


Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels


Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning


Q-DETR: An Efficient Low-Bit Quantized Detection Transformer


Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers


Q-Diffusion: Quantizing Diffusion Models


Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model


Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces


Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content


Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression


Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients


Q-Ground: Image Quality Grounding with Large Multi-modality Models


Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems


Q-ITAGS: Quality-Optimized Spatio-Temporal Heterogeneous Task Allocation with a Time Budget


Q-Insight: Understanding Image Quality via Visual Reinforcement Learning


Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models


Q-LIME $π$: A Quantum-Inspired Extension to LIME


Q-Learning Lagrange Policies for Multi-Action Restless Bandits


Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms


Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments


Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering


Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent


Q-PAC: Automated Detection of Quantum Bug-Fix Patterns


Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices


Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots


Q-Probe: A Lightweight Approach to Reward Maximization for Language Models


Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic


Q-S5: Towards Quantized State Space Models


Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison


Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation


Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent


Q-VLM: Post-training Quantization for Large Vision-Language Models


Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer


Q-ViT: Fully Differentiable Quantization for Vision Transformer


Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks


Q-gen: A Parameterized Quantum Circuit Generator


Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis


Q-learning with Language Model for Edit-based Unsupervised Summarization


Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models


Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI


Q-space Guided Collaborative Attention Translation Network for Flexible Diffusion-Weighted Images Synthesis


Q-space quantitative diffusion MRI measures using a stretched-exponential representation


Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!


QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions


QA-NatVer: Question Answering for Natural Logic-based Fact Verification