Optimizing a Model-Agnostic Measure of Graph Counterdeceptiveness via Reattachment


Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data


Optimizing contrastive learning for cortical folding pattern detection


Optimizing differential equations to fit data and predict outcomes


Optimizing edge AI models on HPC systems with the edge in the loop


Optimizing fairness tradeoffs in machine learning with multiobjective meta-models


Optimizing for Generalization in Machine Learning with Cross-Validation Gradients


Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions


Optimizing for the Future in Non-Stationary MDPs


Optimizing for the Shortest Path in Denoising Diffusion Model


Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously


Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms


Optimizing higher-order network topology for synchronization of coupled phase oscillators


Optimizing information transmission in neural induction constrains cell surface contacts of ascidian embryos


Optimizing intermodal transportation networks at scale via column generation


Optimizing model-agnostic Random Subspace ensembles


Optimizing network robustness via Krylov subspaces


Optimizing persistent homology based functions


Optimizing positive maps in the matrix algebra $M_n$


Optimizing practical entanglement distillation


Optimizing quantum codes with an application to the loss channel with partial erasure information


Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network


Optimizing testing policies for detecting COVID-19 outbreaks


Optimizing text representations to capture (dis)similarity between political parties


Optimizing the Cavity-Arm Ratio of V-Shaped Semiconductor Disk Lasers


Optimizing the Collaboration Structure in Cross-Silo Federated Learning


Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory


Optimizing the Deployment of Tiny Transformers on Low-Power MCUs


Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice


Optimizing the Evolution of Perturbations in the $Λ$CDM Universe


Optimizing the Neural Architecture of Reinforcement Learning Agents


Optimizing the Placement of Numerical Relativity Simulations using a Mismatch Predicting Neural Network


Optimizing the Resolution of Hydrodynamic Simulations for MCRaT Radiative Transfer Calculations


Optimizing the SSD Burst Buffer by Traffic Detection


Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning


Optimizing the Traversal Time for Gantry Trajectories for Proton Arc Therapy Treatment Plans


Optimizing the cloud? Don't train models. Build oracles!


Optimizing the ecological connectivity of landscapes with generalized flow models and preprocessing


Optimizing the extended Fourier Mellin Transformation Algorithm


Optimizing the light output of a plastic scintillator and SiPM based detector through optical characterization and simulation: A case study for POLAR-2


Optimizing the location of the colony of foragers with Collective Learning


Optimizing thermodynamic trajectories using evolutionary and gradient-based reinforcement learning


Optimizing tiny colorless feedback delay networks


Optimum Configuration for Hovering n-Quadrotors carrying a Slung Payload


Optimum Output Long Short-Term Memory Cell for High-Frequency Trading Forecasting


Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks


Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space


Option Discovery in the Absence of Rewards with Manifold Analysis


Option Tracing: Beyond Correctness Analysis in Knowledge Tracing


Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control


Option-ID Based Elimination For Multiple Choice Questions


OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning


OptionZero: Planning with Learned Options


Optirank: classification for RNA-Seq data with optimal ranking reference genes


Optoacoustic inversion via Volterra kernel reconstruction


Optoelectronic generative adversarial networks


Optometrist's Algorithm for Personalizing Robot-Human Handovers


Opytimizer: A Nature-Inspired Python Optimizer


OrCAS: Origins, Compositions, and Atmospheres of Sub-neptunes. I. Survey Definition


OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning


Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach


Oracle Counterpoint: Relationships between On-chain and Off-chain Market Data


Oracle Efficient Private Non-Convex Optimization


Oracle Guided Image Synthesis with Relative Queries


Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure


Oracle-MNIST: a Realistic Image Dataset for Benchmarking Machine Learning Algorithms


Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation


OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography


Oracular Programming: A Modular Foundation for Building LLM-Enabled Software


Oral Imaging for Malocclusion Issues Assessments: OMNI Dataset, Deep Learning Baselines and Benchmarking


Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning


Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping


Orbit dimensions in linear and Gaussian quantum optics


Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments


OrbitGrasp: $SE(3)$-Equivariant Grasp Learning


Orbital Stability and Secular Dynamics of the Proxima Centauri Planetary System


Orbital Stability of Circumstellar Planets in Binary Systems


Orbital Stability of Exomoons and Submoons with Applications to Kepler 1625b-I


Orbital dynamics and extreme scattering event properties from long-term scintillation observations of PSR J1603-7202


Orbital dynamics landscape near the most distant known trans-Neptunian objects


Orbital evolution of LIGO/Virgo binaries in stellar clusters driven by cluster tides, stellar encounters and general relativity


Orbital magnetization of a metal is not a bulk property in the mesoscopic regime


Orbits of permutation groups with no derangements


Orchard: building large cancer phylogenies using stochastic combinatorial search


Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering


Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation


Orchestrated Trios: Compiling for Efficient Communication in Quantum Programs with 3-Qubit Gates


Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning


Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction


Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models


Order Matters: Agent-by-agent Policy Optimization


Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following


Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation


Order Matters: Shuffling Sequence Generation for Video Prediction


Order Parameter Engineering for Random Systems


Order Theory in the Context of Machine Learning


Order book model with herd behavior exhibiting long-range memory


Order preserving hierarchical agglomerative clustering


Order selection with confidence for finite mixture models


Order theory for discrete gradient methods


Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation


Order-Based Pre-training Strategies for Procedural Text Understanding


Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models


Order-Independent Structure Learning of Multivariate Regression Chain Graphs


Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping


Order-based Structure Learning without Score Equivalence


Order-lifted data inversion/retrieval method of neighbor cells to implement general high-order schemes in unstructured-mesh-based finite-volume solution framework


Order-preserving Consistency Regularization for Domain Adaptation and Generalization


OrderBkd: Textual backdoor attack through repositioning


OrderSum: Semantic Sentence Ordering for Extractive Summarization


Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization


Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing


Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making


Ordering-Based Causal Discovery for Linear and Nonlinear Relations


Orderless Recurrent Models for Multi-label Classification


OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions?


Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection


Ordinal Characterization of Similarity Judgments


Ordinal Classification with Distance Regularization for Robust Brain Age Prediction


Ordinal Exponentiation in Homotopy Type Theory


Ordinal Maximin Share Approximation for Goods


Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer


Ordinal Non-negative Matrix Factorization for Recommendation


Ordinal Pooling Networks: For Preserving Information over Shrinking Feature Maps


Ordinal Preference Optimization: Aligning Human Preferences via NDCG


Ordinal classification for interval-valued data and interval-valued functional data


Ordinal pattern probabilities for symmetric random walks


OrdinalFix: Fixing Compilation Errors via Shortest-Path CFL Reachability


Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration


OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs


Organic Data-Driven Approach for Turkish Grammatical Error Correction and LLMs


Organic Structures Emerging From Bio-Inspired Graph-Rewriting Automata


Organize, Then Vote: Exploring Cognitive Load in Quadratic Survey Interfaces


Organized Behavior Classification of Tweet Sets using Supervised Learning Methods


OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection


Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models


Orientability of Undirected Phylogenetic Networks to a Desired Class: Practical Algorithms and Application to Tree-Child Orientation


Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation


Orientation Determination of Cryo-EM Images Using Block Stochastic Riemannian Subgradient Methods


Orientation Embedded High Order Shape Functions for the Exact Sequence Elements of All Shapes


Orientation dependent pinning of (sub)grains by dispersoids during recovery and recrystallization in an Al-Mn alloy


Orientation recognition and correction of Cardiac MRI with deep neural network


Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning


Orientation-Shared Convolution Representation for CT Metal Artifact Learning


Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network


Orientations and matrix function-based centralities in multiplex network analysis of urban public transport


Orientations of DM Halos in FIRE-2 Milky Way-mass Galaxies


Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors


OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images


OrienterNet: Visual Localization in 2D Public Maps with Neural Matching


Orientifold Calabi-Yau Threefolds: Divisor Exchanges and Multi-Reflections


Orienting undirected phylogenetic networks


OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation


Origin of the strong sodium absorption of the lensed supernova 2016geu at z=0.4


Origin-Destination Pattern Effects on Large-Scale Mixed Traffic Control via Multi-Agent Reinforcement Learning


Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance


Orion A's complete 3D magnetic field morphology


Orion-14B: Open-source Multilingual Large Language Models


Orion: A Fully Homomorphic Encryption Framework for Deep Learning


Ormer: A Manipulation-resistant and Gas-efficient Blockchain Pricing Oracle for DeFi


Orometric Methods in Bounded Metric Data


Orphan Articles: The Dark Matter of Wikipedia


OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks


Orthant Based Proximal Stochastic Gradient Method for $\ell_1$-Regularized Optimization


OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement


OrthoNets: Orthogonal Channel Attention Networks


OrthoSeisnet: Seismic Inversion through Orthogonal Multi-scale Frequency Domain U-Net for Geophysical Exploration


Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation


Orthogonal Convolutional Neural Networks


Orthogonal Decomposition of Tensor Trains


Orthogonal Ensemble Networks for Biomedical Image Segmentation


Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation


Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles


Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound


Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching


Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation


Orthogonal Least Squares Based Fast Feature Selection for Linear Classification


Orthogonal Machine Learning: Power and Limitations


Orthogonal Matching Pursuit for Text Classification


Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography


Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints


Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergence


Orthogonal Polynomials on Bubble-Diamond Fractals


Orthogonal Recurrent Neural Networks with Scaled Cayley Transform


Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection


Orthogonal Subspace Learning for Language Model Continual Learning


Orthogonal Temporal Interpolation for Zero-Shot Video Recognition


Orthogonal calibration via posterior projections with applications to the Schwarzschild model


Orthogonal layers of parallelism in large-scale eigenvalue computations


Orthogonal polynomial expansions to evaluate stop-loss premiums


Orthogonal polynomial projection error measured in Sobolev norms in the unit disk


Orthogonal projection-based regularization for efficient model augmentation


Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces


Orthogonalising gradients to speed up neural network optimisation


Orthogonalizing Convolutional Layers with the Cayley Transform


Orthogonally Decoupled Variational Gaussian Processes


Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint sparse recovery: algorithm and analysis


Orthonormal Product Quantization Network for Scalable Face Image Retrieval


Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution


OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification


Oscillation time and damping coefficients in a nonlinear pendulum


Oscillation-Reduced MXFP4 Training for Vision Transformers


Oscillation-free Quantization for Low-bit Vision Transformers


Oscillations in planar deficiency-one mass-action systems


Oscillatory and Excitable Dynamics in an Opinion Model with Group Opinions


Oscillatory collision approach in the Earth-Moon restricted three body problem


Osiris: Automated Discovery of Microarchitectural Side Channels


OsmLocator: locating overlapping scatter marks with a non-training generative perspective


Osprey: Pixel Understanding with Visual Instruction Tuning


OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting


OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion


Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT


Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions


Othering and low status framing of immigrant cuisines in US restaurant reviews and large language models


OtoWorld: Towards Learning to Separate by Learning to Move


Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery


OtterROS: Picking and Programming an Uncrewed Surface Vessel for Experimental Field Robotics Research with ROS 2


Our Coding Adventure: Using LLMs to Personalise the Narrative of a Tangible Programming Robot for Preschoolers


Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?


Our fingerprints don't fade from the Apps we touch: Fingerprinting the Android WebView


Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion


Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding


Ouroboros: On Accelerating Training of Transformer-Based Language Models


Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias


Out of Context: How important is Local Context in Neural Program Repair?


Out of Distribution Detection on ImageNet-O


Out of Many, One: Designing and Scaffolding Proteins at the Scale of the Structural Universe with Genie 2


Out of One, Many: Distinguishing Time Delays from Lensed Supernovae


Out of Sight Out of Mind, Out of Sight Out of Mind: Measuring Bias in Language Models Against Overlooked Marginalized Groups in Regional Contexts


Out of Style: RAG's Fragility to Linguistic Variation


Out of the BLEU: how should we assess quality of the Code Generation models?


Out of the Box: Embodied Navigation in the Real World


Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments


Out-Of-Distribution Detection for Audio-visual Generalized Zero-Shot Learning: A General Framework


Out-Of-Distribution Detection with Diversification (Provably)


Out-distribution training confers robustness to deep neural networks


Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors


Out-of-Core Edge Partitioning at Linear Run-Time


Out-of-Core and Distributed Algorithms for Dense Subtensor Mining


Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning


Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy


Out-of-Distribution Detection Using Outlier Detection Methods


Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness


Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition


Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images


Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation


Out-of-Distribution Detection for Monocular Depth Estimation


Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning


Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach


Out-of-Distribution Detection on Graphs: A Survey


Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification


Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization


Out-of-Distribution Detection with Prototypical Outlier Proxy


Out-of-Distribution Detection with Semantic Mismatch under Masking


Out-of-Distribution Detection with a Single Unconditional Diffusion Model


Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding


Out-of-Distribution Generalization in Kernel Regression


Out-of-Distribution Generalization in Time Series: A Survey


Out-of-Distribution Generalization via Risk Extrapolation (REx)


Out-of-Distribution Semantic Occupancy Prediction


Out-of-Domain Detection for Low-Resource Text Classification Tasks


Out-of-Domain Evaluation of Finnish Dependency Parsing


Out-of-Domain Generalization in Dynamical Systems Reconstruction


Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation


Out-of-Domain Robustness via Targeted Augmentations


Out-of-Equilibrium Dynamics and Excess Volatility in Firm Networks


Out-of-Sample Representation Learning for Multi-Relational Graphs


Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling


Out-of-Town Recommendation with Travel Intention Modeling


Out-of-Transit Refracted Light in the Atmospheres of Transiting and Non-Transiting Exoplanets


Out-of-Vocabulary Entities in Link Prediction


Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources


Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data


Out-of-distribution Detection in Classifiers via Generation


Out-of-distribution Detection via Frequency-regularized Generative Models


Out-of-distribution Detection with Implicit Outlier Transformation


Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization


Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations


Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction


Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer


Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift


Out-of-distribution generalisation in spoken language understanding


Out-of-distribution generalization under random, dense distributional shifts


Out-of-distribution generalization via composition: a lens through induction heads in Transformers


Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation


Out-of-domain GAN inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation


Out-of-focus holography at the Effelsberg telescope


OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking


Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework


OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany


Outcome coding choice in randomized trials of programs to reduce violence


Outcome-Informed Weighting for Robust ATE Estimation


Outcome-Oriented Predictive Process Monitoring: Review and Benchmark


Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation


Outcome-guided Sparse K-means for Disease Subtype Discovery via Integrating Phenotypic Data with High-dimensional Transcriptomic Data


Outcomes of Planetary Collisions: Importance of Gravity and Material Properties


Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge


Outer Solar System spacecraft without drag-free control to probe the $μ$Hz gravitational wave frontier


Outer-Product-Free Sets for Polynomial Optimization and Oracle-Based Cuts


Outerplanar graphs with positive Lin-Lu-Yau curvature


Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network


Outgassing Composition of the Murchison Meteorite: Implications for Volatile Depletion of Planetesimals and Interior-atmosphere Connections for Terrestrial Exoplanets


Outlearning Extortioners by Fair-minded Unbending Strategies


Outlier Accommodation for GNSS Precise Point Positioning using Risk-Averse State Estimation


Outlier Aware Network Embedding for Attributed Networks


Outlier Detection for Text Data : An Extended Version


Outlier Detection for Trajectories via Flow-embeddings


Outlier Detection in Large Radiological Datasets using UMAP


Outlier Detection in Mendelian Randomisation


Outlier Dimensions Encode Task-Specific Knowledge


Outlier Removal in Cryo-EM via Radial Profiles


Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models


Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection


Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity


Outlier detection in network revenue management


Outlier detection of vital sign trajectories from COVID-19 patients


Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models


Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces


Outlier-Efficient Hopfield Layers for Large Transformer-Based Models


Outlier-Insensitive Kalman Filtering Using NUV Priors


Outlier-Insensitive Kalman Filtering: Theory and Applications


Outlier-Resilient Web Service QoS Prediction


Outlier-Robust Geometric Perception: A Novel Thresholding-Based Estimator with Intra-Class Variance Maximization


Outlier-Robust Gromov-Wasserstein for Graph Data


Outlier-Robust Group Inference via Gradient Space Clustering


Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering


Outlier-robust Kalman Filtering through Generalised Bayes


Outlier-robust sparse/low-rank least-squares regression and robust matrix completion


OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language


Outliers Dimensions that Disrupt Transformers Are Driven by Frequency


Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events


Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation


Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs


Outlook for detecting the gravitational wave displacement and spin memory effects with current and future gravitational wave detectors


Output Feedback Reinforcement Learning with Parameter Optimisation for Temperature Control in a Material Extrusion Additive Manufacturing system


Output Scouting: Auditing Large Language Models for Catastrophic Responses


Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization


Output behavior equivalence and simultaneous subspace identification of systems and faults


Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs


Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs


Output-decomposed Learning of Mealy Machines


Output-weighted and relative entropy loss functions for deep learning precursors of extreme events


Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning


Outside Knowledge Conversational Video (OKCV) Dataset -- Dialoguing over Videos


Outside the Box: Abstraction-Based Monitoring of Neural Networks


Outside the Sandbox: A Study of Input/Output Methods in Java


Outsourcing Control requires Control Complexity


Outsourcing Memory Through Niche Construction


OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks


OvarNet: Towards Open-vocabulary Object Attribute Recognition


Ovarian Cancer Diagnostics using Wavelet Packet Scaling Descriptors


Over 100-fold improvement in the accuracy of relaxed eddy accumulation flux estimates through error diffusion


Over-Reasoning and Redundant Calculation of Large Language Models


Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results


Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning


Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation


Over-the-Air Computation with Multiple Receivers: A Space-Time Approach


Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation


Over-the-Air Fair Federated Learning via Multi-Objective Optimization


Over-the-Air Federated Learning via Second-Order Optimization


Over-the-Air Learning-based Geometry Point Cloud Transmission


OverFlow: Putting flows on top of neural transducers for better TTS


OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels


OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning


OverSketch: Approximate Matrix Multiplication for the Cloud


OverSketched Newton: Fast Convex Optimization for Serverless Systems


OverThink: Slowdown Attacks on Reasoning LLMs


Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs


Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection


Overcome the Fear Of Missing Out: Active Sensing UAV Scanning for Precision Agriculture


Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation


Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic


Overcoming Beam Squint in Dual-Wideband mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach


Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration


Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety


Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation


Overcoming Catastrophic Forgetting by Incremental Moment Matching


Overcoming Catastrophic Forgetting by Soft Parameter Pruning


Overcoming Catastrophic Forgetting in Graph Neural Networks


Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima


Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation


Overcoming Catastrophic Forgetting via Direction-Constrained Optimization


Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax


Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions


Overcoming Conflicting Data when Updating a Neural Semantic Parser


Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity


Overcoming Dependent Censoring in the Evaluation of Survival Models


Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning


Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks


Overcoming Domain Limitations in Open-vocabulary Segmentation


Overcoming Generic Knowledge Loss with Selective Parameter Update


Overcoming Intensity Limits for Long-Distance Quantum Key Distribution


Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models


Overcoming Language Disparity in Online Content Classification with Multimodal Learning


Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances


Overcoming Language Priors with Self-supervised Learning for Visual Question Answering


Overcoming Language Variation in Sentiment Analysis with Social Attention


Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction


Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation


Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions


Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models


Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging


Overcoming Mode Collapse with Adaptive Multi Adversarial Training


Overcoming Obstacles: Challenges of Gender Inequality in Undergraduate ICT Programs


Overcoming Oscillations in Quantization-Aware Training


Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion Policy


Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation


Overcoming Saturation in Density Ratio Estimation by Iterated Regularization


Overcoming Scene Context Constraints for Object Detection in wild using Defilters


Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain


Overcoming Small Minirhizotron Datasets Using Transfer Learning


Overcoming Some Drawbacks of Dynamic Movement Primitives


Overcoming Statistical Shortcuts for Open-ended Visual Counting


Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation


Overcoming a Theoretical Limitation of Self-Attention


Overcoming bias in representational similarity analysis


Overcoming challenges in leveraging GANs for few-shot data augmentation


Overcoming data challenges to measure whole-person health in electronic health records


Overcoming model uncertainty -- how equivalence tests can benefit from model averaging


Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection


Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization


Overcoming the complexity barrier of the dynamic message-passing method in networks with fat-tailed degree distributions


Overcomplete Representations Against Adversarial Videos


Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction


Overdamped modes in Schwarzschild-de Sitter and a Mathematica package for the numerical computation of quasinormal modes


Overfitting Affects the Reliability of Radial Velocity Mass Estimates of the V1298 Tau Planets


Overfitting Bayesian Mixture Models with an Unknown Number of Components


Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree


Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training


Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation


Overflow Prevention Enhances Long-Context Recurrent LLMs


Overhead-constrained circuit knitting for variational quantum dynamics


Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD


Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation


Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages


Overlap-guided Gaussian Mixture Models for Point Cloud Registration


OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition


OverlapNet: Loop Closing for LiDAR-based SLAM


Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN


Overlapping Community Detection with Graph Neural Networks


Overlapping Indices for Dynamic Information Borrowing in Bayesian Hierarchical Modeling


Overlapping and Robust Edge-Colored Clustering in Hypergraphs


Overlapping community detection in networks based on link partitioning and partitioning around medoids


Overlapping community detection in networks via sparse spectral decomposition


OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models


Overlooked Video Classification in Weakly Supervised Video Anomaly Detection


Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability


Overparameterized Neural Networks Implement Associative Memory


Overparameterized ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery


Overriding Safety protections of Open-source Models


Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models


Oversampling errors in multimodal medical imaging are due to the Gibbs effect


Oversampling for Imbalanced Learning Based on K-Means and SMOTE


Overscreening and Underscreening in Solid-Electrolyte Grain Boundary Space-Charge Layers


Overshoot: Taking advantage of future gradients in momentum-based stochastic optimization


Oversmoothing: A Nightmare for Graph Contrastive Learning?


Oversquashing in GNNs through the lens of information contraction and graph expansion


Overstatement-Net-Equivalent Risk-Limiting Audit: ONEAudit


Overthinking the Truth: Understanding how Language Models Process False Demonstrations


Overtuning in Hyperparameter Optimization


Overview and Comparison of Gate Level Quantum Software Platforms


Overview and Introduction to Development of Non-Ergodic Earthquake Ground-Motion Models


Overview and Validation of the Asteroseismic Modeling Portal v2.0


Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021


Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains


Overview of LiLAS 2021 -- Living Labs for Academic Search


Overview of PerpectiveArg2024: The First Shared Task on Perspective Argument Retrieval


Overview of PicTropes, a film trope dataset


Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4


Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images


Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization


Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications


Overwriting Pretrained Bias with Finetuning Data


OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning


OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning


Owl-1: Omni World Model for Consistent Long Video Generation


Oxidation States in Solids from Data-Driven Paradigms


Oxyster: A Circumgalactic Low-ionization Oxygen Nebula next to a Starburst Galaxy at $z\sim1$


Ozaki Scheme II: A GEMM-oriented emulation of floating-point matrix multiplication using an integer modular technique


P$^2$-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer


P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering


P-ADMMiRNN: Training RNN with Stable Convergence via An Efficient and Paralleled ADMM Approach


P-Hologen: An End-to-End Generative Framework for Phase-Only Holograms


P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models


P-MMF: Provider Max-min Fairness Re-ranking in Recommender System


P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation


P-SIF: Document Embeddings Using Partition Averaging


P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation


P-TimeSync: A Precise Time Synchronization Simulation with Network Propagation Delays


P-Transformer: Towards Better Document-to-Document Neural Machine Translation


P-splines with an $\ell_1$ penalty for repeated measures


P1AC: Revisiting Absolute Pose From a Single Affine Correspondence


P2 Explore: Efficient Exploration in Unknown Cluttered Environment with Floor Plan Prediction


P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching


P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation


P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds


P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds


P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching


P2M: A Fast Solver for Querying Distance from Point to Mesh Surface


P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark


P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds


P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting


P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images


P2T2: a Physically-primed deep-neural-network approach for robust $T_{2}$ distribution estimation from quantitative $T_{2}$-weighted MRI


P2U-SLAM: A Monocular Wide-FoV SLAM System Based on Point Uncertainty and Pose Uncertainty


P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior


P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision


P3O: Policy-on Policy-off Policy Optimization


P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders


P4-IPsec: Site-to-Site and Host-to-Site VPN with IPsec in P4-Based SDN


P4-MACsec: Dynamic Topology Monitoring and Data Layer Protection with MACsec in P4-SDN


P4-PSFP: P4-Based Per-Stream Filtering and Policing for Time-Sensitive Networking


P4Control: Line-Rate Cross-Host Attack Prevention via In-Network Information Flow Control Enabled by Programmable Switches and eBPF


P4K: A Formal Semantics of P4 and Applications


P4Testgen: An Extensible Test Oracle For P4


P4sim: Programming Protocol-independent Packet Processors in ns-3


P5: Plug-and-Play Persona Prompting for Personalized Response Selection


P6: A Declarative Language for Integrating Machine Learning in Visual Analytics


PA&DA: Jointly Sampling PAth and DAta for Consistent NAS


PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding


PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization


PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation


PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation


PAAM: A Framework for Coordinated and Priority-Driven Accelerator Management in ROS 2


PABBO: Preferential Amortized Black-Box Optimization


PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging


PAC Codes: Sequential Decoding vs List Decoding


PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction


PAC Mode Estimation using PPR Martingale Confidence Sequences


PAC Prediction Sets for Large Language Models of Code


PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior


PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization


PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments


PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs


PAC-Bayes Un-Expected Bernstein Inequality


PAC-Bayesian Contrastive Unsupervised Representation Learning


PAC-Bayesian Generalization Bounds for Adversarial Generative Models


PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning


PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning


PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems


PACE Solver Description: Exact Solution of the One-sided Crossing Minimization Problem by the MPPEG Team


PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs


PACE: A Program Analysis Framework for Continuous Performance Prediction


PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization


PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices


PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy


PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction


PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance


PACMAN: A pipeline to reduce and analyze Hubble Wide Field Camera 3 IR Grism data


PACO: Parts and Attributes of Common Objects


PACOME: Optimal multi-epoch combination of direct imaging observations for joint exoplanet detection and orbit estimation


PACS: A Dataset for Physical Audiovisual CommonSense Reasoning


PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models


PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks


PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation


PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds


PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators


PAD-Net: A Perception-Aided Single Image Dehazing Network


PAD-Net: An Efficient Framework for Dynamic Networks


PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection


PAD: Patch-Agnostic Defense against Adversarial Patch Attacks


PAD: Phase-Amplitude Decoupling Fusion for Multi-Modal Land Cover Classification


PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images


PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks


PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains


PADL: Language-Directed Physics-Based Character Control


PADLL: Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control


PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention


PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction


PADS: Policy-Adapted Sampling for Visual Similarity Learning


PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association


PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles


PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation


PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in Conversation


PAGE: Parametric Generative Explainer for Graph Neural Network


PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks


PAGED: A Benchmark for Procedural Graphs Extraction from Documents


PAGER: Progressive Attribute-Guided Extendable Robust Image Generation


PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information


PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation


PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model


PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms


PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements


PAL -- Parallel active learning for machine-learned potentials


PAL: Persona-Augmented Emotional Support Conversation Generation


PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences


PALI: A Language Identification Benchmark for Perso-Arabic Scripts


PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models


PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training


PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation


PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation


PALMA, an improved algorithm for DOSY signal processing


PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones


PALO: A Polyglot Large Multimodal Model for 5B People


PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion


PAMPC: Perception-Aware Model Predictive Control for Quadrotors


PAMS: Platform for Artificial Market Simulations


PAMSO: Parametric Autotuning Multi-time Scale Optimization Algorithm


PAN: Towards Fast Action Recognition via Learning Persistence of Appearance


PANCAKE: Python bAsed Numerical Color-magnitude-diagram Analysis pacKagE


PANCO2: a Python library to measure intracluster medium pressure profiles from Sunyaev-Zeldovich observations


PANCO2: a new software to measure pressure profiles from resolved thermal SZ observations


PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions


PANDA: Expanded Width-Aware Message Passing Beyond Rewiring


PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information


PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs


PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation


PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling


PANDAS: Prototype-based Novel Class Discovery and Detection


PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models


PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMs


PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining


PANSATZ: Pulse-based Ansatz for Variational Quantum Algorithms


PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning


PANTR: A proximal algorithm with trust-region updates for nonconvex constrained optimization


PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment


PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation


PAP-REC: Personalized Automatic Prompt for Recommendation Language Model


PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models


PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs


PAPRIKA: Private Online False Discovery Rate Control


PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them


PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge


PARADE: Passage Representation Aggregation for Document Reranking


PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset


PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining


PARAFAC2$\times$N: Coupled Decomposition of Multi-modal Data with Drift in N Modes


PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis


PARALLELPROJ -- An open-source framework for fast calculation of projections in tomography


PARAPHRASUS : A Comprehensive Benchmark for Evaluating Paraphrase Detection Models


PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging


PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling


PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration


PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction


PARE: Part Attention Regressor for 3D Human Body Estimation


PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation


PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition


PARIMA: Viewport Adaptive 360-Degree Video Streaming


PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects


PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval


PARQO: Penalty-Aware Robust Plan Selection in Query Optimization


PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus


PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints


PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net


PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition


PARSEC: Preference Adaptation for Robotic Object Rearrangement from Scene Context


PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions


PART: Pre-trained Authorship Representation Transformer


PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition


PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks


PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection


PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks


PARs: Predicate-based Association Rules for Efficient and Accurate Model-Agnostic Anomaly Explanation


PAS: Partial Additive Speech Data Augmentation Method for Noise Robust Speaker Verification


PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis


PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction


PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms


PASE: A Massively Parallel Augmented Subspace Eigensolver for Large Scale Eigenvalue Problems


PASGAL: Parallel And Scalable Graph Algorithm Library


PASHA: Efficient HPO and NAS with Progressive Resource Allocation


PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment


PASOA- PArticle baSed Bayesian Optimal Adaptive design


PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics


PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference


PASS: An ImageNet replacement for self-supervised pretraining without humans


PASS: De novo assembler for short peptide sequences


PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation


PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates


PASSerRank: Prediction of Allosteric Sites with Learning to Rank


PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers


PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models


PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization


PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training


PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction


PAStime: Progress-aware Scheduling for Time-critical Computing


PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation


PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics


PATE: Proximity-Aware Time series anomaly Evaluation


PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series


PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis


PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals


PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting


PATS: Process-Level Adaptive Thinking Mode Switching


PATSMA: Parameter Auto-tuning for Shared Memory Algorithms


PATSQL: Efficient Synthesis of SQL Queries from Example Tables with Quick Inference of Projected Columns


PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning


PAUSE: Positive and Annealed Unlabeled Sentence Embedding


PAVE: Patching and Adapting Video Large Language Models


PAWLS: PDF Annotation With Labels and Structure


PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale


PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games


PAseos Simulates the Environment for Operating multiple Spacecraft


PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition


PB&J: Peanut Butter and Joints for Damped Articulation


PB-NBV: Efficient Projection-Based Next-Best-View Planning Framework for Reconstruction of Unknown Objects


PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation


PBP: Post-training Backdoor Purification for Malware Classifiers


PBSCR: The Piano Bootleg Score Composer Recognition Dataset


PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications


PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking


PBjam: A Python package for automating asteroseismology of solar-like oscillators


PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding


PC$^2$-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling


PC$^2$: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval


PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation


PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering


PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data


PC-Gym: Benchmark Environments For Process Control Problems


PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics


PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration


PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining


PCA Reduced Gaussian Mixture Models with Applications in Superresolution


PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models


PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability


PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation


PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds


PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval


PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards


PCC Net: Perspective Crowd Counting via Spatial Convolutional Network


PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation


PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification


PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs


PCF-GAN: generating sequential data via the characteristic function of measures on the path space


PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion


PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation


PCGAN: Partition-Controlled Human Image Generation


PCGS: Progressive Compression of 3D Gaussian Splatting


PCIE_EgoHandPose Solution for EgoExo4D Hand Pose Challenge


PCIE_Interaction Solution for Ego4D Social Interaction Challenge


PCIE_LAM Solution for Ego4D Looking At Me Challenge


PCKRF: Point Cloud Completion and Keypoint Refinement With Fusion Data for 6D Pose Estimation


PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings


PCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator


PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification


PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation


PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers


PCMC-Net: Feature-based Pairwise Choice Markov Chains


PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions


PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction


PCR-99: A Practical Method for Point Cloud Registration with 99 Percent Outliers


PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry


PCR-Pro: 3D Sparse and Different Scale Point Clouds Registration and Robust Estimation of Information Matrix For Pose Graph SLAM


PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation


PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming


PCoQA: Persian Conversational Question Answering Dataset


PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model


PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows


PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast Cancer


PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm


PD-Quant: Post-Training Quantization based on Prediction Difference Metric


PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues


PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression


PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design


PDBImages: A Command Line Tool for Automated Macromolecular Structure Visualization


PDCFNet: Enhancing Underwater Images through Pixel Difference Convolution


PDDLEGO: Iterative Planning in Textual Environments


PDE Acceleration: A convergence rate analysis and applications to obstacle problems


PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion


PDE-Based Optimal Strategy for Unconstrained Online Learning


PDE-CNNs: Axiomatic Derivations and Applications


PDE-DKL: PDE-constrained deep kernel learning in high dimensionality


PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data


PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations


PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations


PDE-constrained Gaussian process surrogate modeling with uncertain data locations


PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling


PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation


PDFS: Practical Data Feed Service for Smart Contracts


PDFchem: A new fast method to determine ISM properties and infer environmental parameters using probability distributions


PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction


PDFxTMDLib and QtPDFxTMDPlotter: A High-Performance Framework and Plotting Tool for Transverse and Collinear Parton Distribution Functions


PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming


PDIWS: Thermal Imaging Dataset for Person Detection in Intrusion Warning Systems


PDL: A Declarative Prompt Programming Language


PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers


PDMD: Potential-free Data-driven Molecular Dynamics for Variable-sized Water Clusters


PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning


PDNet: Semantic Segmentation integrated with a Primal-Dual Network for Document binarization


PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling


PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs


PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack


PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing


PDPP: Projected Diffusion for Procedure Planning in Instructional Videos


PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications


PDQ & TMK + PDQF -- A Test Drive of Facebook's Perceptual Hashing Algorithms


PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing


PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream


PDT: Uav Target Detection Dataset for Pests and Diseases Tree


PDZSeg: Adapting the Foundation Model for Dissection Zone Segmentation with Visual Prompts in Robot-assisted Endoscopic Submucosal Dissection


PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning


PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers


PDiscoNet: Semantically consistent part discovery for fine-grained recognition


PDoT: Private DNS-over-TLS with TEE Support


PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction


PE-YOLO: Pyramid Enhancement Network for Dark Object Detection


PE3R: Perception-Efficient 3D Reconstruction


PE: A Poincare Explanation Method for Fast Text Hierarchy Generation


PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation


PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning


PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework


PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation


PEACH: Pretrained-embedding Explanation Across Contextual and Hierarchical Structure


PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction


PEANUTS: a software for the automatic computation of solar neutrino flux and its propagation within Earth


PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents


PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning


PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning


PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning


PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents


PEARL: Towards Permutation-Resilient LLMs


PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores


PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination


PECAN: Personalizing Robot Behaviors through a Learned Canonical Space


PECC: Problem Extraction and Coding Challenges


PECCARY: A novel approach for characterizing orbital complexity, stochasticity, and regularity


PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer


PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment


PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis


PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces


PEEKABOO: Interactive Video Generation via Masked-Diffusion


PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding


PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods


PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems


PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models


PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization


PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation


PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes


PELA: Learning Parameter-Efficient Models with Low-Rank Approximation


PELESent: Cross-domain polarity classification using distant supervision


PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization


PEM: Prototype-based Efficient MaskFormer for Image Segmentation


PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models


PEN4Rec: Preference Evolution Networks for Session-based Recommendation


PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation


PENNI: Pruned Kernel Sharing for Efficient CNN Inference


PENTACLE: Parallelized Particle-Particle Particle-Tree Code for Planet Formation


PENTrack---a simulation tool for ultracold neutrons, protons, and electrons in complex electromagnetic fields and geometries


PENet: A Joint Panoptic Edge Detection Network


PENet: Towards Precise and Efficient Image Guided Depth Completion


PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI


PERF: Panoramic Neural Radiance Field from a Single Panorama


PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment


PERFEX: Classifier Performance Explanations for Trustworthy AI Systems


PERISTOLE: PackagE that geneRates tIme delay plotS caused by graviTatiOnaL lEnsing


PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications


PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models


PERMUTOOLS: A MATLAB Package for Multivariate Permutation Testing


PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs


PERT: A New Solution to Pinyin to Character Conversion Task


PERT: A Progressively Region-based Network for Scene Text Removal


PERT: Pre-training BERT with Permuted Language Model


PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture


PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages


PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces


PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency


PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications


PETCI: A Parallel English Translation Dataset of Chinese Idioms


PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object Detection


PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models


PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer


PEXO: a global modeling framework for nanosecond timing, microsecond astrometry, and $\mu$m/s radial velocities


PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents


PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction


PEtra: A Flexible and Open-Source PE Loop Tracer for Polymer Thin-Film Transducers


PEvoLM: Protein Sequence Evolutionary Information Language Model


PF-GNN: Differentiable particle filtering based approximation of universal graph representations


PF-Net: Personalized Filter for Speaker Recognition from Raw Waveform


PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting


PF: A C++ Library for Fast Particle Filtering


PFA-GAN: Progressive Face Aging with Generative Adversarial Network


PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization


PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing


PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames


PFD: Automatically Generating Machine Learning Force Fields from Universal Models


PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts


PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future


PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask


PFGE: Parsimonious Fast Geometric Ensembling of DNNs


PFGM++: Unlocking the Potential of Physics-Inspired Generative Models


PFGS: High Fidelity Point Cloud Rendering via Feature Splatting


PFL-MoE: Personalized Federated Learning Based on Mixture of Experts


PFMBench: Protein Foundation Model Benchmark


PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse


PFNs4BO: In-Context Learning for Bayesian Optimization


PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network


PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments


PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients


PG$^2$Net: Personalized and Group Preferences Guided Network for Next Place Prediction


PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving


PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance


PG-RCNN: Semantic Surface Point Generation for 3D Object Detection


PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Grouping


PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation


PG-VTON: A Novel Image-Based Virtual Try-On Method via Progressive Inference Paradigm


PG-Video-LLaVA: Pixel Grounding Large Video-Language Models


PG3: Policy-Guided Planning for Generalized Policy Generation


PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift


PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning


PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition


PGCS: Physical Law embedded Generative Cloud Synthesis in Remote Sensing Images


PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance


PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks


PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening


PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation


PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting


PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks


PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery


PGST: a Polyglot Gender Style Transfer method


PGT: A Progressive Method for Training Models on Long Videos


PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer


PGTask: Introducing the Task of Profile Generation from Dialogues


PGrad: Learning Principal Gradients For Domain Generalization


PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps


PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis


PH-Net: Parallelepiped Microstructure Homogenization via 3D Convolutional Neural Networks


PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model


PHANGS-JWST: Data Processing Pipeline and First Full Public Data Release


PHARE : Parallel hybrid particle-in-cell code with patch-based adaptive mesh refinement


PHASER: a Robust and Correspondence-free Global Pointcloud Registration


PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation


PHD: Pixel-Based Language Modeling of Historical Documents


PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence


PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection Dataset


PHEW: Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data


PHG-Net: Persistent Homology Guided Medical Image Classification


PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction


PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation


PHISWID: Physics-Inspired Underwater Image Dataset Synthesized from RGB-D Images


PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions


PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification


PHOBIC: Perfect Hashing with Optimized Bucket Sizes and Interleaved Coding


PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement


PHODCOS: Pythagorean Hodograph-based Differentiable Coordinate System


PHONEix: Acoustic Feature Processing Strategy for Enhanced Singing Pronunciation with Phoneme Distribution Predictor


PHS: A Toolbox for Parallel Hyperparameter Search


PHT-CAD: Efficient CAD Parametric Primitive Analysis with Progressive Hierarchical Tuning


PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions


PHYFU: Fuzzing Modern Physics Simulation Engines


PHiLIP on the HiL: Automated Multi-platform OS Testing with External Reference Devices


PHom-GeM: Persistent Homology for Generative Models


PI is back! Switching Acquisition Functions in Bayesian Optimization


PI-Net: A Deep Learning Approach to Extract Topological Persistence Images


PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain


PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation


PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations


PI3NN: Out-of-distribution-aware prediction intervals from three neural networks


PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models


PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging


PIANOTREE VAE: Structured Representation Learning for Polyphonic Music


PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text


PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations


PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition


PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation


PIC4rl-gym: a ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning


PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning


PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models


PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts


PICASO: Permutation-Invariant Cascaded Attentional Set Operator


PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems


PICBench: Benchmarking LLMs for Photonic Integrated Circuits Design


PICCOLO: Point Cloud-Centric Omnidirectional Localization


PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems


PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks


PICL: Physics Informed Contrastive Learning for Partial Differential Equations


PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning


PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection


PICNN: A Pathway towards Interpretable Convolutional Neural Networks


PICT -- A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics


PID Control-Based Self-Healing to Improve the Robustness of Large Language Models


PID Controller Optimization for Low-cost Line Follower Robots


PID Optimization Using Lagrangian Mechanics


PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices


PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics


PID: Physics-Informed Diffusion Model for Infrared Image Generation


PID: Prompt-Independent Data Protection Against Latent Diffusion Models


PIDForest: Anomaly Detection via Partial Identification


PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud


PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution


PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection


PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition


PIE: Simulating Disease Progression via Progressive Image Editing


PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training


PIED: Physics-Informed Experimental Design for Inverse Problems


PIER: A Novel Metric for Evaluating What Matters in Code-Switching


PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce


PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization


PIG: Prompt Images Guidance for Night-Time Scene Parsing


PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening


PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions


PIINET: A 360-degree Panoramic Image Inpainting Network Using a Cube Map


PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation


PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin


PILL: Plug Into LLM with Adapter Expert and Attention Gate


PILLAR: How to make semi-private learning more effective


PILLAR: an AI-Powered Privacy Threat Modeling Tool


PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI


PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning


PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference


PIM-Opt: Demystifying Distributed Optimization Algorithms on a Real-World Processing-In-Memory System


PIM-STM: Software Transactional Memory for Processing-In-Memory Systems


PIM-tree: A Skew-resistant Index for Processing-in-Memory


PIMDAL: Mitigating the Memory Bottleneck in Data Analytics using a Real Processing-in-Memory System


PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition


PIMOD: A Tool for Configuring Single-Board Computer Operating System Images


PIMSYN: Synthesizing Processing-in-memory CNN Accelerators


PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas


PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency


PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation


PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map


PINION: Physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization


PINN ME: A Physics-Informed Neural Network Framework for Accurate Milne-Eddington Inversions of Solar Magnetic Fields


PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems


PINNPStomo: Simultaneous P- and S-wave seismic traveltime tomography using physics-informed neural networks with a new factored eikonal equation


PINNeik: Eikonal solution using physics-informed neural networks


PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease


PINNfluence: Influence Functions for Physics-Informed Neural Networks


PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks


PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2


PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks


PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction


PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data


PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales


PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation


PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning


PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions


PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation


PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning


PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling


PIPPIN: Generating variable length full events from partons


PIQP: A Proximal Interior-Point Quadratic Programming Solver


PIR: Photometric Inverse Rendering with Shading Cues Modeling and Surface Reflectance Regularization


PIR: Remote Sensing Image-Text Retrieval with Prior Instruction Representation Learning


PIRATES -- a machine-learning framework for polarized, interferometric image reconstruction


PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop


PISCO: The Pmas/ppak Integral-field Supernova hosts COmpilation


PISCOLA: a data-driven transient light-curve fitter


PISE: Person Image Synthesis and Editing with Decoupled GAN


PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects


PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation


PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation


PIV-FlowDiffuser:Transfer-learning-based denoising diffusion models for PIV


PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction


PIVOINE: Instruction Tuning for Open-world Information Extraction


PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference


PIXELMOD: Improving Soft Moderation of Visual Misleading Information on Twitter


PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery


PInKS: Preconditioned Commonsense Inference with Minimal Supervision


PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments


PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue


PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices


PKCAM: Previous Knowledge Channel Attention Module


PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking


PKG API: A Tool for Personal Knowledge Graph Management


PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation


PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling


PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation


PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images


PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction


PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning


PL-MTEB: Polish Massive Text Embedding Benchmark


PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features


PL-VIWO: A Lightweight and Robust Point-Line Monocular Visual Inertial Wheel Odometry


PL-kNN: A Parameterless Nearest Neighbors Classifier


PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network


PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization


PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis


PLACES: Prompting Language Models for Social Conversation Synthesis


PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions


PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss


PLAID: Supporting Computing Instructors to Identify Domain-Specific Programming Plans at Scale


PLAIN: Scalable Estimation Architecture for Integrated Sensing and Communication


PLAM: a Posit Logarithm-Approximate Multiplier


PLAN: Variance-Aware Private Mean Estimation


PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model


PLANS: Robust Program Learning from Neurally Inferred Specifications


PLANTAIN: Diffusion-inspired Pose Score Minimization for Fast and Accurate Molecular Docking


PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning


PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information


PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance


PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games


PLE$ν$M: A global and distributed monitoring system of high-energy astrophysical neutrinos


PLE-SLAM: A Visual-Inertial SLAM Based on Point-Line Features and Efficient IMU Initialization


PLG2: Multiperspective Processes Randomization and Simulation for Online and Offline Settings


PLIP: Language-Image Pre-training for Person Representation Learning


PLLaMa: An Open-source Large Language Model for Plant Science


PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles


PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models


PLMP -- Point-Line Minimal Problems in Complete Multi-View Visibility


PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation


PLOD: An Abbreviation Detection Dataset for Scientific Documents


PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation


PLOT: Prompt Learning with Optimal Transport for Vision-Language Models


PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis


PLQ-Sim: A Computational Tool for Simulating Photoluminescence Quenching Dynamics in Organic Donor/Acceptor Blends


PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning


PLS for V2I Communications Using Friendly Jammer and Double kappa-mu Shadowed Fading


PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection


PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine


PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English


PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning


PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models


PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off


PLUMED-GUI: an environment for the interactive development of molecular dynamics analysis and biasing scripts


PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental Segmentation


PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning


PLeak: Prompt Leaking Attacks against Large Language Model Applications


PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models


PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs


PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks


PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning


PM-VIS+: High-Performance Video Instance Segmentation without Video Annotation


PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery


PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network


PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning


PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents


PMET: Precise Model Editing in a Transformer


PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records


PMFault: Faulting and Bricking Server CPUs through Management Interfaces


PMI Sampler: Patch Similarity Guided Frame Selection for Aerial Action Recognition


PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration


PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India


PML: Progressive Margin Loss for Long-tailed Age Classification


PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison


PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications


PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulation


PMNI: Pose-free Multi-view Normal Integration for Reflective and Textureless Surface Reconstruction


PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series


PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement


PMSD: Data-Driven Simulation Using System Dynamics and Process Mining


PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment


PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation


PMatch: Paired Masked Image Modeling for Dense Geometric Matching


PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors


PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Search


PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs


PNI : Industrial Anomaly Detection using Position and Neighborhood Information


PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization


PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions


PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry


POA: Pre-training Once for Models of All Sizes


POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering


POAR: Towards Open Vocabulary Pedestrian Attribute Recognition


POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes


POCO: 3D Pose and Shape Estimation with Confidence


POCO: Point Convolution for Surface Reconstruction


POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference


POD-Galerkin Reduced Order Modeling of the El Nino-Southern Oscillation (ENSO)


PODTherm-GP: A Physics-based Data-Driven Approach for Effective Architecture-Level Thermal Simulation of Multi-Core CPUs


POE: Process of Elimination for Multiple Choice Reasoning


POEM: Out-of-Distribution Detection with Posterior Sampling


POEM: Polarization of Embeddings for Domain-Invariant Representations


POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo


POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging


POINT$^{2}$: A Polymer Informatics Training and Testing Database


POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training


POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation


POISE: Pose Guided Human Silhouette Extraction under Occlusions


POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models


POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems


POLAR: Preference Optimization and Learning Algorithms for Robotics


POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning


POLARIS: A framework to guide the development of Trustworthy AI systems


POLE: Polarized Embedding for Signed Networks


POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks


POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection


POLYDIM: A C++ library for POLYtopal DIscretization Methods


POLYLLA: Polygonal meshing algorithm based on terminal-edge regions


POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction


POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance


POMO: Policy Optimization with Multiple Optima for Reinforcement Learning


PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability


PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning


POP909: A Pop-song Dataset for Music Arrangement Generation


POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion


POPACheck: A Model Checker for Probabilistic Pushdown Automata


POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning


POPDG: Popular 3D Dance Generation with PopDanceSet


POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study


POPGym Arcade: Parallel Pixelated POMDPs


POPO: Pessimistic Offline Policy Optimization


POPQC: Parallel Optimization for Quantum Circuits (Extended Version)


POPQORN: Quantifying Robustness of Recurrent Neural Networks


POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search


POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval


POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events


PORE: Provably Robust Recommender Systems against Data Poisoning Attacks


PORTAL: Scalable Tabular Foundation Models via Content-Specific Tokenization


PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection


POS-BERT: Point Cloud One-Stage BERT Pre-Training


POSE: Pose estimation Of virtual Sync Exhibit system


POSE: Practical Off-chain Smart Contract Execution


POSIT: Promotion of Semantic Item Tail via Adversarial Learning


POSIX: A Prompt Sensitivity Index For Large Language Models


POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning


POSQA: Probe the World Models of LLMs with Size Comparisons


POSS: Position Specialist Generates Better Draft for Speculative Decoding


POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling


POSTER++: A simpler and stronger facial expression recognition network


POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition


POSTER: spaceQUIC: Securing Communication in Computationally Constrained Spacecraft


POTATO: The Portable Text Annotation Tool


POTATO: exPlainable infOrmation exTrAcTion framewOrk


POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection


POTs: Protective Optimization Technologies


POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models


POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities


POV: Prompt-Oriented View-Agnostic Learning for Egocentric Hand-Object Interaction in the Multi-View World


POVNav: A Pareto-Optimal Mapless Visual Navigator


POWN: Prototypical Open-World Node Classification


PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies


PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation


PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning


PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving


PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning


PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection