Numerical solution of optimal control problems using quadratic transport regularization


Numerical solution of the div-curl problem by finite element exterior calculus


Numerical solution of the exact background collisional Boltzmann equation for dark matter-baryon scattering


Numerical solution of the incompressible Navier-Stokes equation by a deep branching algorithm


Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning


Numerical stability and efficiency of response property calculations in density functional theory


Numerical study of extreme mechanical force exerted by a turbulent flow on a bluff body by direct and rare-event sampling techniques


Numerical study of refined conjectures of the BSD type


Numerical upscaling for wave equations with time-dependent multiscale coefficients


Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneous porous media


Numerical wetting benchmarks -- advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method


Numerically Robust Fixed-Point Smoothing Without State Augmentation


Numerically Robust Methodology for Fitting Current-Voltage Characteristics of Solar Devices with the Single-Diode Equivalent-Circuit Model


Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning


Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees


Numerically assisted determination of local models in network scenarios


Numerically exact mimicking of quantum gas microscopy for interacting lattice fermions


Numerically robust Gaussian state estimation with singular observation noise


Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures


Nurgle: Exacerbating Resource Consumption in Blockchain State Storage via MPT Manipulation


Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings


NusaCrowd: Open Source Initiative for Indonesian NLP Resources


NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages


NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages


NushuRescue: Revitalization of the Endangered Nushu Language with AI


NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training


NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models


NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence


Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food


Nutritional Profile Estimation in Cooking Recipes


NuzzleBug: Debugging Block-Based Programs in Scratch


NwQM: A neural quality assessment framework for Wikipedia


NysAct: A Scalable Preconditioned Gradient Descent using Nystrom Approximation


Nyström $M$-Hilbert-Schmidt Independence Criterion


Nyx-Net: Network Fuzzing with Incremental Snapshots


O$^2$-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model


O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering


O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks


O-Mamba: O-shape State-Space Model for Underwater Image Enhancement


O-MedAL: Online Active Deep Learning for Medical Image Analysis


O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning


O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning


OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision


OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing


OAEI Machine Learning Dataset for Online Model Generation


OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation


OAG-BERT: Towards A Unified Backbone Language Model For Academic Knowledge Services


OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining


OAIR: Object-Aware Image Retargeting Using PSO and Aesthetic Quality Assessment


OAM-TCD: A globally diverse dataset of high-resolution tree cover maps


OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching


OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal


OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning


OASIS: Open Agent Social Interaction Simulations with One Million Agents


OASIS: Optimal Arrangements for Sensing in SLAM


OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM Responses


OASYS: Domain-Agnostic Automated System for Constructing Knowledge Base from Unstructured Text


OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving


OASum: Large-Scale Open Domain Aspect-based Summarization


OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction


OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition


OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender


OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs


OBBStacking: An Ensemble Method for Remote Sensing Object Detection


OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery


OBELiX: A Curated Dataset of Crystal Structures and Experimentally Measured Ionic Conductivities for Lithium Solid-State Electrolytes


OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions


OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection


OBMeshfree: An optimization-based meshfree solver for nonlocal diffusion and peridynamics models


OBSTransformer: A Deep-Learning Seismic Phase Picker for OBS Data Using Automated Labelling and Transfer Learning


OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images


OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box Prompts


OCC-VO: Dense Mapping via 3D Occupancy-Based Visual Odometry for Autonomous Driving


OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction


OCD: Learning to Overfit with Conditional Diffusion Models


OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs


OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation


OCEAN: Open-World Contrastive Authorship Identification


OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions


OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection


OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision


OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding


OCMG-Net: Neural Oriented Normal Refinement for Unstructured Point Clouds


OCNLI: Original Chinese Natural Language Inference


OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation


OCR-IDL: OCR Annotations for Industry Document Library Dataset


OCR-VQGAN: Taming Text-within-Image Generation


OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad


OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation


OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific Discovery


OCT-GAN: Neural ODE-based Conditional Tabular GANs


OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study


OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images


OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation


OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods


OCTET: Object-aware Counterfactual Explanations


OCTOPINF: Workload-Aware Inference Serving for Edge Video Analytics


OCoR: An Overlapping-Aware Code Retriever


OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training


OD3: Optimization-free Dataset Distillation for Object Detection


ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs


ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution


ODD: A Benchmark Dataset for the Natural Language Processing based Opioid Related Aberrant Behavior Detection


ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects


ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation


ODE network model for nonlinear and complex agricultural nutrient solution system


ODEFormer: Symbolic Regression of Dynamical Systems with Transformers


ODEN: A Framework to Solve Ordinary Differential Equations using Artificial Neural Networks


ODEs learn to walk: ODE-Net based data-driven modeling for crowd dynamics


ODFNet: Using orientation distribution functions to characterize 3D point clouds


ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings


ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update


ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models


ODIN: A Single Model for 2D and 3D Segmentation


ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems


ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection


ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting


ODMixer: Fine-grained Spatial-temporal MLP for Metro Origin-Destination Prediction


ODNet: A Convolutional Neural Network for Asteroid Occultation Detection


ODRL: A Benchmark for Off-Dynamics Reinforcement Learning


ODSum: New Benchmarks for Open Domain Multi-Document Summarization


ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer


ODTrack: Online Dense Temporal Token Learning for Visual Tracking


ODVista: An Omnidirectional Video Dataset for super-resolution and Quality Enhancement Tasks


OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams


OED: Towards One-stage End-to-End Dynamic Scene Graph Generation


OET: Optimization-based prompt injection Evaluation Toolkit


OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining


OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models


OFFSEG: A Semantic Segmentation Framework For Off-Road Driving


OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment


OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs


OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes


OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation


OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics


OG-SPACE: Optimized Stochastic Simulation of Spatial Models of Cancer Evolution


OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds


OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks


OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View


OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations


OGRe: An Object-Oriented General Relativity Package for Mathematica


OGRePy: An Object-Oriented General Relativity Package for Python


OIFITS 2: the 2nd version of the Data Exchange Standard for Optical (Visible/IR) Interferometry


OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences


OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search


OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest


OJBench: A Competition Level Code Benchmark For Large Language Models


OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics


OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising


OKRidge: Scalable Optimal k-Sparse Ridge Regression


OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation


OLAE-ICP: Robust and fast alignment of geometric features with the optimal linear attitude estimator


OLAF: An Open Life Science Analysis Framework for Conversational Bioinformatics Powered by Large Language Models


OLALA: Object-Level Active Learning for Efficient Document Layout Annotation


OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning


OLISIA: a Cascade System for Spoken Dialogue State Tracking


OLIVE: Object Level In-Context Visual Embeddings


OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification


OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics


OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset


OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks


OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning


OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols


OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain


OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems


OLÉ -- Online Learning Emulation in Cosmology


OMAC: A Broad Optimization Framework for LLM-Based Multi-Agent Collaboration


OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary


OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval


OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models


OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models


OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data


OMLT: Optimization & Machine Learning Toolkit


OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration


OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code


OMNI: Open-endedness via Models of human Notions of Interestingness


OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Modalities


OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration


OMOD: An open-source tool for creating disaggregated mobility demand based on OpenStreetMap


OMP4Py: a pure Python implementation of OpenMP


OMPO: A Unified Framework for RL under Policy and Dynamics Shifts


OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection


OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models


OMiCroN -- Oblique Multipass Hierarchy Creation while Navigating


ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors


ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks


ONCE-3DLanes: Building Monocular 3D Lane Detection


ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities


ONION: A Simple and Effective Defense Against Textual Backdoor Attacks


ONNXim: A Fast, Cycle-level Multi-core NPU Simulator


OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation


OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs


OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary


OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift


OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization


OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models


OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising


OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on


OOVs in the Spotlight: How to Inflect them?


OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation


OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction


OPA: Object Placement Assessment Dataset


OPAF: Optimized Secure Two-Party Computation Protocols for Nonlinear Activation Functions in Recurrent Neural Network


OPD: Single-view 3D Openable Part Detection


OPDMulti: Openable Part Detection for Multiple Objects


OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection


OPENMENDEL: A Cooperative Programming Project for Statistical Genetics


OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience


OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions


OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors


OPES: On-the-fly Probability Enhanced Sampling Method


OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets


OPFython: A Python-Inspired Optimum-Path Forest Classifier


OPHAvatars: One-shot Photo-realistic Head Avatars


OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching


OPOM: Customized Invisible Cloak towards Face Privacy Protection


OPONeRF: One-Point-One NeRF for Robust Neural Rendering


OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems


OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution


OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure


OPTIKS: Optimized Gradient Properties Through Timing in K-Space


OPTIMA: Design-Space Exploration of Discharge-Based In-SRAM Computing: Quantifying Energy-Accuracy Trade-Offs


OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles


OPUS: An Integrated Assessment Model for Satellites and Orbital Debris


OPUS: Occupancy Prediction Using a Sparse Set


OPlaceRAN -- a Placement Orchestrator for Virtualized Next-Generation of Radio Access Network


OR-Bench: An Over-Refusal Benchmark for Large Language Models


OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problem with Reasoning Large Language Model


OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields


ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks


ORANSlice: An Open-Source 5G Network Slicing Platform for O-RAN


ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study


ORC: Network Group-based Knowledge Distillation using Online Role Change


ORCAS-I: Queries Annotated with Intent using Weak Supervision


ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning


ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization


ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards


ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints


ORCa: Glossy Objects as Radiance Field Cameras


ORES: Open-vocabulary Responsible Visual Synthesis


ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization


ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning


ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems


ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling


ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms


ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images


ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization


ORV: 4D Occupancy-centric Robot Video Generation


ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling


OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields


OS-ATLAS: A Foundation Action Model for Generalist GUI Agents


OS-Copilot: Towards Generalist Computer Agents with Self-Improvement


OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents


OSCAR: One-Step Diffusion Codec for Image Compression Across Multiple Bit-rates


OSCaR: Object State Captioning and State Change Representation


OSDFace: One-Step Diffusion Model for Face Restoration


OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning


OSF: An Open-Source Framework for Synchronous Flooding over Multiple Physical Layers


OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers


OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer


OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP


OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic Guidance


OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos


OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking


OSPtrack: A Labeled Dataset Targeting Simulated Execution of Open-Source Software


OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer


OSS-Bench: Benchmark Generator for Coding LLMs


OSS-UAgent: An Agent-based Usability Evaluation Framework for Open Source Software


OSSA: Unsupervised One-Shot Style Adaptation


OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery


OSSCAR, an open platform for collaborative development of computational tools for education in science


OSSGAN: Open-Set Semi-Supervised Image Generation


OSSO: Obtaining Skeletal Shape from Outside


OSSOS XXV: Large Populations and Scattering-Sticking in the Distant Transneptunian Resonances


OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding


OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition


OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia


OSUniverse: Benchmark for Multimodal GUI-navigation AI Agents


OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification


OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments


OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength


OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport


OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation


OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation


OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering


OTCE: Hybrid SSM and Attention with Cross Domain Mixture of Experts to construct Observer-Thinker-Conceiver-Expresser


OTExtSum: Extractive Text Summarisation with Optimal Transport


OTIEA:Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment


OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems


OTO Planner: An Efficient Only Travelling Once Exploration Planner for Complex and Unknown Environments


OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos


OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing


OTSLM Toolbox for Structured Light Methods


OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification


OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport


OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection


OTTER: Effortless Label Distribution Adaptation of Zero-shot Models


OTTers: One-turn Topic Transitions for Open-Domain Dialogue


OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation


OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection


OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples


OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications


OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion


OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision


OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding


OV-VG: A Benchmark for Open-Vocabulary Visual Grounding


OVA-DETR: Open Vocabulary Aerial Object Detection Using Image-Text Alignment and Fusion


OVANet: One-vs-All Network for Universal Domain Adaptation


OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation


OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models


OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems


OVGNet: A Unified Visual-Linguistic Framework for Open-Vocabulary Robotic Grasping


OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data


OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning


OVMR: Open-Vocabulary Recognition with Multi-Modal References


OVNS: Opportunistic Variable Neighborhood Search for Heaviest Subgraph Problem in Social Networks


OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?


OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras


OVRseen: Auditing Network Traffic and Privacy Policies in Oculus VR


OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking


OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer


OVeNet: Offset Vector Network for Semantic Segmentation


OW-DETR: Open-world Detection Transformer


OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution


OWL: A Large Language Model for IT Operations


OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature


OWLOOP: A Modular API to Describe OWL Axioms in OOP Objects Hierarchies


OWLOOP: Interfaces for Mapping OWL Axioms into OOP Hierarchies


OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework


OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis


OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging


OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays


OYXOY: A Modern NLP Test Suite for Modern Greek


OadTR: Online Action Detection with Transformers


OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction


Oasis: Data Curation and Assessment System for Pretraining of Large Language Models


Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis


Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation


ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach


Obfuscating Keystroke Time Intervals to Avoid Identification and Impersonation


Obfuscation Resilient Search through Executable Classification


Obfuscation for Privacy-preserving Syntactic Parsing


ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction


Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks


ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-Attention


ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer


Objaverse++: Curated 3D Object Dataset with Quality Annotations


Object Augmentation Algorithm: Computing virtual object motion and object induced interaction wrench from optical markers


Object Based Attention Through Internal Gating


Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection


Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping


Object Detection from Video Tubelets with Convolutional Neural Networks


Object Detection in Foggy Scenes by Embedding Depth and Reconstruction into Domain Adaptation


Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation


Object Detection in the DCT Domain: is Luminance the Solution?


Object Detection with Spiking Neural Networks on Automotive Event Data


Object Detector Differences when using Synthetic and Real Training Data


Object Detectors in the Open Environment: Challenges, Solutions, and Outlook


Object Discovery from Motion-Guided Tokens


Object Discovery via Contrastive Learning for Weakly Supervised Object Detection


Object Goal Navigation using Goal-Oriented Semantic Exploration


Object Hider: Adversarial Patch Attack Against Object Detectors


Object Instance Identification in Dynamic Environments


Object Instance Mining for Weakly Supervised Object Detection


Object Pose Estimation using Mid-level Visual Representations


Object Pose Estimation via the Aggregation of Diffusion Features


Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation


Object Priors for Classifying and Localizing Unseen Actions


Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation


Object Recognition as Next Token Prediction


Object Segmentation Without Labels with Large-Scale Generative Models


Object Segmentation by Mining Cross-Modal Semantics


Object Segmentation of Cluttered Airborne LiDAR Point Clouds


Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping


Object as Query: Lifting any 2D Object Detector to 3D Detection


Object category learning and retrieval with weak supervision


Object detection under the linear subspace model with application to cryo-EM images


Object landmark discovery through unsupervised adaptation


Object pop-up: Can we infer 3D objects and their poses from human interactions alone?


Object proposal generation applying the distance dependent Chinese restaurant process


Object recognition in atmospheric turbulence scenes


Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli


Object shape error modelling and simulation during early design stage by morphing Gaussian Random Fields


Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data


Object-Aware Cropping for Self-Supervised Learning


Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection


Object-Aware Domain Generalization for Object Detection


Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval


Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning


Object-Aware Self-supervised Multi-Label Learning


Object-Centric Learning with Slot Mixture Module


Object-Centric Relational Representations for Image Generation


Object-Centric Unsupervised Image Captioning


Object-Centric Video Prediction via Decoupling of Object Dynamics and Interactions


Object-Compositional Neural Implicit Surfaces


Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images


Object-Oriented Grid Mapping in Dynamic Environments


Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots


Object-Oriented Software for Functional Data


Object-Proposal Evaluation Protocol is 'Gameable'


Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering


Object-aware Contrastive Learning for Debiased Scene Representation


Object-aware Inversion and Reassembly for Image Editing


Object-aware Monocular Depth Prediction with Instance Convolutions


Object-aware Video-language Pre-training for Retrieval


Object-centric Forward Modeling for Model Predictive Control


Object-centric Learning with Cyclic Walks between Parts and Whole


Object-centric Video Prediction without Annotation


Object-centric architectures enable efficient causal representation learning


Object-centric proto-symbolic behavioural reasoning from pixels


Object-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention


Object-level Geometric Structure Preserving for Natural Image Stitching


Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments


Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition


ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion


ObjectBox: From Centers to Boxes for Anchor-Free Object Detection


ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer


ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting


ObjectNLQ @ Ego4D Episodic Memory Challenge 2024


ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces


ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking


Objective Bayesian Analysis for the Differential Entropy of the Gamma Distribution


Objective Bicycle Occlusion Level Classification using a Deformable Parts-Based Model


Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes


Objective acceleration for unconstrained optimization


Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge


Objective trajectories in hybrid classical-quantum dynamics


Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models


Objectively Evaluating the Reliability of Cell Type Annotation Using LLM-Based Strategies


Objectness-Aware Few-Shot Semantic Segmentation


Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations


Objects Can Move: 3D Change Detection by Geometric Transformation Constistency


Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting


Objects are Different: Flexible Monocular 3D Object Detection


Oblivious Algorithms for Maximum Directed Cut: New Upper and Lower Bounds


Oblivious Data for Fairness with Kernels


Oblivious sketching for logistic regression


ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding


Obscured AGN enhancement in galaxy pairs at cosmic noon: evidence from a probabilistic treatment of photometric redshifts


Observability of Acausal and Uncorrelated Optical-Quasar Pairs for Quantum-Mechanical Experiments


Observability of Evaporating Lava Worlds


Observability of Photoevaporation Signatures in the Dust Continuum Emission of Transition Discs


Observability of signatures of transport-induced chemistry in clear atmospheres of hot gas giant exoplanets


Observability-Aware Active Calibration of Multi-Sensor Extrinsics for Ground Robots via Online Trajectory Optimization


Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems


Observation Centric and Central Distance Recovery on Sports Player Tracking


Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024


Observation Time Difference: an Online Dynamic Objects Removal Method for Ground Vehicles


Observation of Aerosolization-induced Morphological Changes in Viral Capsids


Observation of Photon Blockade in a Tavis-Cummings System


Observation of solar radio burst events from Mars orbit with the Shallow Radar instrument


Observation of the scaling dimension of fractional quantum Hall anyons


Observation of vortex-pair dance and oscillation


Observation-Guided Diffusion Probabilistic Models


Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method


Observational Scaling Laws and the Predictability of Language Model Performance


Observational Selection Effects with Ground-based Gravitational Wave Detectors


Observational Signatures of Circumbinary Discs I: Kinematics


Observational constraints on key-parameters of cosmic reionisation history


Observational constraints on the deceleration parameter in a tilted universe


Observational constraints on the second-order primordial power spectrum: Exploring a Continuous Spontaneous Localization inspired inflationary model


Observational effects of banded repeating FRBs


Observational evidence for a spin-up line in the P-Pdot diagram of millisecond pulsars


Observational nonstationarity of AGN variability: The only way to go is down!


Observationally Constraining the Starspot Properties of Magnetically Active M67 Sub-Subgiant S1063


Observations of Short-Period Ion-Scale Current Sheet Flapping


Observations of the Crab Nebula and Pulsar with the Large-Sized Telescope Prototype of the Cherenkov Telescope Array


Observations of the Planetary Nebula SMP LMC 058 with the JWST MIRI Medium Resolution Spectrometer


Observations on cycles in a variant of the Collatz Graph


Observatory: Characterizing Embeddings of Relational Tables


Observe-R1: Unlocking Reasoning Abilities of MLLMs with Dynamic Progressive Reinforcement Learning


Observer Dependent Lossy Image Compression


Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes


Observing Schrödinger's Cat with Artificial Intelligence: Emergent Classicality from Information Bottleneck


Observing and braiding topological Majorana modes on programmable quantum simulators


Observing formation and evolution of dislocation cells during plastic deformation


Observing network dynamics through sentinel nodes


Observing the Invisible: Live Cache Inspection for High-Performance Embedded Systems


Observing the Migdal effect from nuclear recoils of neutral particles with liquid xenon and argon detectors


Observing the inspiral of coalescing massive black hole binaries with LISA in the era of Multi-Messenger Astrophysics


Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs


Obstacle-aware Waypoint Generation for Long-range Guidance of Deep-Reinforcement-Learning-based Navigation Approaches


Obtaining Adjustable Regularization for Free via Iterate Averaging


Obtaining Better Static Word Embeddings Using Contextual Embedding Models


Obtaining Calibrated Probabilities with Personalized Ranking Models


Obtaining Dyadic Fairness by Optimal Transport


Obtaining Faithful Interpretations from Compositional Neural Networks


Obtaining a Canonical Polygonal Schema from a Greedy Homotopy Basis with Minimal Mesh Refinement


Obtaining the multiple Debever null directions


Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving


OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data


OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion


OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks


OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction


OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction


OccMamba: Semantic Occupancy Prediction with State Space Models


OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments


OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework


OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving


OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving


Occam Learning Meets Synthesis Through Unification


Occam's Razor and Bender and Koller's Octopus


OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses


Occamy: A Preemptive Buffer Management for On-chip Shared-memory Switches


OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup


OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions


Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior


Occlusion Aware Unsupervised Learning of Optical Flow From Video


Occlusion Guided Scene Flow Estimation on 3D Point Clouds


Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds


Occlusion-Aware Cost Constructor for Light Field Depth Estimation


Occlusion-Aware Crowd Navigation Using People as Sensors


Occlusion-Aware Depth Estimation with Adaptive Normal Constraints


Occlusion-Aware Ground Target Tracking by a Dubins Vehicle using Visibility Volumes


Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation


Occlusion-Robust Object Pose Estimation with Holistic Representation


Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields


Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning


OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction


OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models


Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference


Occultation mapping of Io's surface in the near-infrared I: Inferring static maps


Occupancy Anticipation for Efficient Exploration and Navigation


Occupancy Grid Mapping without Ray-Casting for High-resolution LiDAR Sensors


Occupancy Networks: Learning 3D Reconstruction in Function Space


Occupancy Planes for Single-view RGB-D Human Reconstruction


Occupancy Prediction for Building Energy Systems with Latent Force Models


Occupancy Prediction-Guided Neural Planner for Autonomous Driving


Occupancy-SLAM: An Efficient and Robust Algorithm for Simultaneously Optimizing Robot Poses and Occupancy Map


Occupant-Oriented Demand Response with Multi-Zone Thermal Building Control


Occupation measure methods for modelling and analysis of biological hybrid automata


Occupation similarity through bipartite graphs


Occurrence Rates of Planets Orbiting M Stars: Applying ABC to Kepler DR25, Gaia DR2, and 2MASS Data


Ocean Mover's Distance: Using Optimal Transport for Analyzing Oceanographic Data


Ocean-OCR: Towards General OCR Application via a Vision-Language Model


OceanBench: The Sea Surface Height Edition


OceanLens: An Adaptive Backscatter and Edge Correction using Deep Learning Model for Enhanced Underwater Imaging


OceanNet: A principled neural operator-based digital twin for regional oceans


Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition


OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression


OctFusion: Octree-based Diffusion Models for 3D Shape Generation


OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation


OctNet: Learning Deep 3D Representations at High Resolutions


OctNetFusion: Learning Depth Fusion from Data


OctoPack: Instruction Tuning Code Large Language Models


OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling


Octopi: Object Property Reasoning with Large Tactile-Language Models


Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing Strategies


Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing


Octopus: Embodied Vision-Language Programmer from Environmental Feedback


Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs


Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians


Octree-based hierarchical sampling optimization for the volumetric super-resolution of scientific data


OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries


Oculomotor trajectory mapping on body as an effective intervention to enhance attention


Odd dynamics of passive objects in a chiral active bath


Odd-One-Out: Anomaly Detection by Comparing with Neighbors


Odds-Ratio Thompson Sampling to Control for Time-Varying Effect


OdoViz: A 3D Odometry Visualization and Processing Tool


OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum


Odor Descriptor Understanding through Prompting


Odyssey: A Journey in the Land of Distributed Data Series Similarity Search


Odyssey: Creation, Analysis and Detection of Trojan Models


Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages


Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap


Of Non-Linearity and Commutativity in BERT


Off Environment Evaluation Using Convex Risk Minimization


Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting


Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation


Off-Grid Ultrasound Imaging by Stochastic Optimization


Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation


Off-Policy Actor-Critic with Emphatic Weightings


Off-Policy Adversarial Inverse Reinforcement Learning


Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process


Off-Policy Correction For Multi-Agent Reinforcement Learning


Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration


Off-Policy Evaluation Using Information Borrowing and Context-Based Switching


Off-Policy Evaluation and Learning for External Validity under a Covariate Shift


Off-Policy Evaluation for Action-Dependent Non-Stationary Environments


Off-Policy Evaluation for Large Action Spaces via Embeddings


Off-Policy Evaluation of Ranking Policies under Diverse User Behavior


Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction


Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits


Off-Policy Evaluation with Out-of-Sample Guarantees


Off-Policy General Value Functions to Represent Dynamic Role Assignments in RoboCup 3D Soccer Simulation


Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures


Off-Policy Optimization of Portfolio Allocation Policies under Constraints


Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search


Off-Road LiDAR Intensity Based Semantic Segmentation


Off-fault damage characterisation during and after experimental quasi-static and dynamic rupture in crustal rock from laboratory P-wave tomography and microstructures


Off-policy Evaluation in Doubly Inhomogeneous Environments


Off-policy Evaluation with Deeply-abstracted States


Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding


Off-policy evaluation for slate recommendation


Off-resonance artifact correction for magnetic resonance imaging: a review


Off-the-grid regularisation for Poisson inverse problems


Off-the-grid: Fast and Effective Hyperparameter Search for Kernel Clustering


OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification


Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving


Offensive Hebrew Corpus and Detection using BERT


Offensive Language Analysis using Deep Learning Architecture


Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language


Offensive Language Identification in Greek


Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling


OffensiveLang: A Community Based Implicit Offensive Language Dataset


OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation


OfficeMate: Pilot Evaluation of an Office Assistant Robot


Offline Adaptation of Quadruped Locomotion using Diffusion Models


Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs


Offline Contextual Bandits with Overparameterized Models


Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees


Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand


Offline Evaluation of Set-Based Text-to-Image Generation


Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy


Offline Handwritten Amharic Character Recognition Using Few-shot Learning


Offline Handwritten Signature Verification Using a Stream-Based Approach


Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching


Offline Model-Based Optimization by Learning to Rank


Offline Model-Based Optimization via Policy-Guided Gradient Search


Offline Model-Based Optimization: Comprehensive Review


Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization


Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization


Offline Policy Comparison under Limited Historical Agent-Environment Interactions


Offline Policy Comparison with Confidence: Benchmarks and Baselines


Offline Policy Optimization with Eligible Actions


Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks


Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval


Offline RL Without Off-Policy Evaluation


Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization


Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood


Offline Recommender System Evaluation under Unobserved Confounding


Offline Reinforcement Learning for LLM Multi-Step Reasoning


Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling


Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes


Offline Reinforcement Learning for Visual Navigation


Offline Reinforcement Learning from Datasets with Structured Non-Stationarity


Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression


Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias


Offline Safe Reinforcement Learning Using Trajectory Classification


Offline Signature Verification on Real-World Documents


Offline Time-Independent Multi-Agent Path Planning


Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit


Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems


Offline detection of change-points in the mean for stationary graph signals


Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches


Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification


Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble


Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs


Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties


Offset equivariant networks and their applications


OffsetBias: Leveraging Debiased Data for Tuning Evaluators


Offsite-Tuning: Transfer Learning without Full Model


Oh SSH-it, what's my fingerprint? A Large-Scale Analysis of SSH Host Key Fingerprint Verification Records in the DNS


Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End


Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems


Oil Spill Segmentation using Deep Encoder-Decoder models


Okapi: Generalising Better by Making Statistical Matches Match


Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback


Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation


OkayPlan: Obstacle Kinematics Augmented Dynamic Real-time Path Planning via Particle Swarm Optimization


Ola: Pushing the Frontiers of Omni-Modal Language Model


Old Dog Learns New Tricks: Randomized UCB for Bandit Problems


Old Quantum Mechanics by Bohr and Sommerfeld from a Modern Perspective


Old but Gold: Reconsidering the value of feedforward learners for software analytics


Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again


Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm


OldVisOnline: Curating a Dataset of Historical Visualizations


Olfactory Label Prediction on Aroma-Chemical Pairs


Olfactory learning alters navigation strategies and behavioral variability in C. elegans


Olica: Efficient Structured Pruning of Large Language Models without Retraining


Ollabench: Evaluating LLMs' Reasoning for Human-centric Interdependent Cybersecurity


Ollivier persistent Ricci curvature (OPRC) based molecular representation for drug design


Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework


Ollivier-Ricci curvature of regular graphs


OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems


Olympus: A Universal Task Router for Computer Vision Tasks


Olympus: a benchmarking framework for noisy optimization and experiment planning


Omega results for cubic field counts via lower-order terms in the one-level density


Omegance: A Single Parameter for Various Granularities in Diffusion-Based Synthesis


OmiEmbed: a unified multi-task deep learning framework for multi-omics data


OmiTrans: generative adversarial networks based omics-to-omics translation framework


OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification


OmicsQ: A User-Friendly Platform for Interactive Quantitative Omics Data Analysis


OminiControl: Minimal and Universal Control for Diffusion Transformer


Omni Aggregation Networks for Lightweight Image Super-Resolution


Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection


Omni-DETR: Omni-Supervised Object Detection with Transformers


Omni-Directional Image Generation from Single Snapshot Image


Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration


Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields


Omni-Video: Democratizing Unified Video Understanding and Generation


Omni-swarm: A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swarms


Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild


Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation


OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference


OmniAudio: Generating Spatial Audio from 360-Degree Video


OmniBOR: A System for Automatic, Verifiable Artifact Resolution across Software Supply Chains


OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance


OmniBench: Towards The Future of Universal Omni-Language Models


OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning


OmniCaptioner: One Captioner to Rule Them All


OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling


OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds


OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data


OmniControl: Control Any Joint at Any Time for Human Motion Generation


OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text


OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive Alignment


OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion and Infinite Data Generation


OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations


OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning


OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control


OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning


OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain


OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection


OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation


OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows


OmniFold: A Method to Simultaneously Unfold All Observables


OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion


OmniGS: Fast Radiance Field Reconstruction using Omnidirectional Gaussian Splatting


OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks


OmniGlue: Generalizable Feature Matching with Foundation Model Guidance


OmniJet-$α_C$: Learning point cloud calorimeter simulations using generative transformers


OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters


OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models


OmniNxt: A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception


OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation


OmniRace: 6D Hand Pose Estimation for Intuitive Guidance of Racing Drone


OmniSCV: An Omnidirectional Synthetic Image Generator for Computer Vision


OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale


OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding


OmniSat: Self-Supervised Modality Fusion for Earth Observation


OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning


OmniShare: Securely Accessing Encrypted Cloud Storage from Multiple Authorized Devices


OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering


OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking


OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation


OmniUV: A Multi-Purpose Simulation Toolkit for VLBI Observation


OmniVid: A Generative Framework for Universal Video Understanding


OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra


Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos


Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans


Omnidirectional Image Quality Captioning: A Large-scale Database and A New Model


Omnidirectional Sensor Placement: A Large-Scale Computational Study and Novel Hybrid Accelerated-Refinement Heuristics


Omnidirectional Transfer for Quasilinear Lifelong Learning


OmnimatteRF: Robust Omnimatte with 3D Background Modeling


Omnipotent Adversarial Training in the Wild


Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs


Omnizart: A General Toolbox for Automatic Music Transcription


Omobot: a low-cost mobile robot for autonomous search and fall detection


On "Optimal" h-Independent Convergence of Parareal and MGRIT using Runge-Kutta Time Integration


On $(k,g)$-Graphs without $(g+1)$-Cycles


On $O(n)$ Algorithms for Projection onto the Top-$k$-sum Sublevel Set


On $\ell_p$-norm Robustness of Ensemble Stumps and Trees


On $f$-Divergence Principled Domain Adaptation: An Improved Framework


On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator


On (Mis)perceptions of testing effectiveness: an empirical study


On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top-$n$ Recommendation


On 1/n neural representation and robustness


On ADMM in Deep Learning: Convergence and Saturation-Avoidance


On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering


On Adapting Nesterov's Scheme to Accelerate Iterative Methods for Linear Problems


On Adaptive Attacks to Adversarial Example Defenses


On Adaptive Propensity Score Truncation in Causal Inference


On Adversarial Examples for Character-Level Neural Machine Translation


On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Models


On Adversarial Robustness of Point Cloud Semantic Segmentation


On Adversarial Robustness: A Neural Architecture Search perspective


On Aliased Resizing and Surprising Subtleties in GAN Evaluation


On Ambisonic Source Separation with Spatially Informed Non-negative Tensor Factorization


On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models


On Analyzing the Role of Image for Visual-enhanced Relation Extraction


On Anticipation Effect in Stepped Wedge Cluster Randomized Trials


On Application of Block Kaczmarz Methods in Matrix Factorization


On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents


On Automatic Data Augmentation for 3D Point Cloud Classification


On Autonomous Agents in a Cyber Defence Environment


On Background Bias in Deep Metric Learning


On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation


On Baselines for Local Feature Attributions


On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints


On Bayesian inference for the Extended Plackett-Luce model


On Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs


On Benford's Law and the Coefficients of the Riemann Mapping Function for the Exterior of the Mandelbrot Set


On Biased Behavior of GANs for Face Verification


On Biasing Transformer Attention Towards Monotonicity


On Bilingual Lexicon Induction with Large Language Models


On Binary de Bruijn Sequences from LFSRs with Arbitrary Characteristic Polynomials


On Bits and Bandits: Quantifying the Regret-Information Trade-off


On Block Cholesky Decomposition for Sparse Inverse Covariance Estimation


On Bridging Generic and Personalized Federated Learning for Image Classification


On Calibrating Diffusion Probabilistic Models


On Calibrating Semantic Segmentation Models: Analyses and An Algorithm


On Calibration of Graph Neural Networks for Node Classification


On Calibration of LLM-based Guard Models for Reliable Content Moderation


On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines


On Catastrophic Interference in Atari 2600 Games


On Causal Inference with Model-Based Outcomes


On Centralized Critics in Multi-Agent Reinforcement Learning


On Certifying and Improving Generalization to Unseen Domains


On Characterizing GAN Convergence Through Proximal Duality Gap


On Characterizing the Evolution of Embedding Space of Neural Networks using Algebraic Topology


On Characterizing the Trade-off in Invariant Representation Learning


On Classifying HyperKähler Kummer 8-Orbifolds


On Clustered Statistical MIMO Millimeter Wave Channel Simulation


On Cognitive Preferences and the Plausibility of Rule-based Models


On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New Way to Learn Cold Posteriors with Tight Generalization Guarantees


On Collaborative Predictive Blacklisting


On Collective Robustness of Bagging Against Data Poisoning


On Combinatorial Network Flows Algorithms and Circuit Augmentation for Pseudoflows


On Comparing Fair Classifiers under Data Bias


On Completeness of SDP-Based Barrier Certificate Synthesis over Unbounded Domains


On Compositional Generalization of Neural Machine Translation


On Computation of Approximate Solutions to Large-Scale Backstepping Kernel Equations via Continuum Approximation


On Computational Poisson Geometry I: Symbolic Foundations


On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses


On Computing the Kronecker Structure of Polynomial and Rational Matrices using Julia


On Consistency for Bulk-Bitwise Processing-in-Memory


On Consistent Bayesian Inference from Synthetic Data


On Context Distribution Shift in Task Representation Learning for Offline Meta RL


On Context Utilization in Summarization with Large Language Models


On Continuous Local BDD-Based Search for Hybrid SAT Solving


On Contrastive Representations of Stochastic Processes


On Controller Tuning with Time-Varying Bayesian Optimization


On Convergence of a Three-Layer Semi-Discrete Scheme for the Nonlinear Dynamic String Equation of Kirchhoff-Type with Time-Dependent Coefficients


On Counterfactual Interventions in Vector Autoregressive Models


On Creating a Comprehensive Food Database


On Creating an English-Thai Code-switched Machine Translation in Medical Domain


On Credit Assignment in Hierarchical Reinforcement Learning


On Critical Sampling of Time-Vertex Graph Signals


On Cross-Layer Interactions of QUIC, Encrypted DNS and HTTP/3: Design, Evaluation and Dataset


On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures


On Dataset Transferability in Active Learning for Transformers


On Dedekind's problem, a sparse version of Sperner's theorem, and antichains of a given size in the Boolean lattice


On Dedicated CDCL Strategies for PB Solvers


On Deep Recurrent Reinforcement Learning for Active Visual Tracking of Space Noncooperative Objects


On Demand Solid Texture Synthesis Using Deep 3D Networks


On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning


On Designing Light-Weight Object Trackers through Network Pruning: Use CNNs or Transformers?


On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French Election


On Developers' Self-Declaration of AI-Generated Code: An Analysis of Practices


On Devon Allen's Disqualification at the 2022 World Track and Field Championships


On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models


On Difficulties of Attention Factorization through Shared Memory


On Dimensional Linguistic Properties of the Word Embedding Space


On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner


On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition


On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions


On Discrete Prompt Optimization for Diffusion Models


On Disentangled Training for Nonlinear Transform in Learned Image Compression


On Disentangling Spoof Trace for Generic Face Anti-Spoofing


On Distribution Shift in Learning-based Bug Detectors


On Divergence Measures for Bayesian Pseudocoresets


On Dropout and Nuclear Norm Regularization


On Duality Gap as a Measure for Monitoring GAN Training


On Early Detection of Hallucinations in Factual Question Answering


On Effective Scheduling of Model-based Reinforcement Learning


On Effects of Steering Latent Representation for Large Language Model Unlearning


On Efficient Approximate Queries over Machine Learning Models


On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization


On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning


On Efficient Multilevel Clustering via Wasserstein Distances


On Efficient Reinforcement Learning for Full-length Game of StarCraft II


On Efficient Transformer-Based Image Pre-training for Low-Level Vision


On Efficiently Acquiring Annotations for Multilingual Models


On Efficiently Explaining Graph-Based Classifiers


On Elimination Strategies for Bandit Fixed-Confidence Identification


On Elliptical and Inverse Elliptical Wishart distributions


On Embodied Visual Navigation in Real Environments Through Habitat


On Emergent Communication in Competitive Multi-Agent Teams


On Energy-Based Models with Overparametrized Shallow Neural Networks


On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift


On Entropy and Bit Patterns of Ring Oscillator Jitter


On Equivalence Checking for Orthocomplemented Bisemilattices in Log-Linear Time


On Erroneous Agreements of CLIP Image Embeddings


On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design


On Estimation and Cross-validation of Dynamic Treatment Regimes with Competing Risks


On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models


On Evaluating Explanation Utility for Human-AI Decision Making in NLP


On Evaluating the Generalization of LSTM Models in Formal Languages


On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models


On Event Individuation for Document-Level Information Extraction


On Exact Computation with an Infinitely Wide Neural Net


On Exact Sampling in the Two-Variable Fragment of First-Order Logic


On Explainability of Graph Neural Networks via Subgraph Explorations


On Exploiting Hitting Sets for Model Reconciliation


On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling


On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification


On Exploring and Improving Robustness of Scene Text Detection Models


On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria


On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors


On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation


On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network


On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search


On Fairness of Low-Rank Adaptation of Large Models


On Faithfulness and Factuality in Abstractive Summarization


On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning


On Fast Computation of a Circulant Matrix-Vector Product


On Fast Leverage Score Sampling and Optimal Learning


On Fast Sampling of Diffusion Probabilistic Models


On Feasibility of Intent Obfuscating Attacks


On Feature Decorrelation in Self-Supervised Learning


On Feature Learning in the Presence of Spurious Correlations


On Feature Normalization and Data Augmentation


On Feature Scaling of Recursive Feature Machines


On Feature Selection Using Anisotropic General Regression Neural Network


On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension


On Feynman--Kac training of partial Bayesian neural networks


On Filter Size in Graph Convolutional Networks


On Finding All Connected Maximum-Sized Common Subgraphs in Multiple Labeled Graphs


On Finding Optimal (Dynamic) Arborescences


On Finding the Closest Zonotope to a Polytope in Hausdorff Distance


On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection


On Flexible Inverse Probability of Treatment and Intensity Weighting: Informative Censoring, Variable Inclusion, and Weight Trimming


On Fluxes in the $1^9$ Landau-Ginzburg Model


On Formal Feature Attribution and Its Approximation


On Galactic density modeling in the presence of dust extinction


On Galois inertial types of elliptic curves over $\mathbb{Q}_\ell$


On Generalization Across Environments In Multi-Objective Reinforcement Learning


On Generalization of Graph Autoencoders with Adversarial Training


On Generalized Degree Fairness in Graph Neural Networks


On Generating Extended Summaries of Long Documents


On Generating Transferable Targeted Perturbations


On Generation of Adversarial Examples using Convex Programming


On Generators and Relations of the Rational Cohomology of Hilbert Schemes


On Geodesic Distances and Contextual Embedding Compression for Text Classification


On Godunov-type finite volume methods for seismic wave propagation


On Good $2$-Query Locally Testable Codes from Sheaves on High Dimensional Expanders


On Gorenstein Fano Threefolds with an Action of a Two-Dimensional Torus


On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box


On Gradual Semantics for Assumption-Based Argumentation


On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction


On Graph Neural Networks versus Graph-Augmented MLPs


On Graph Uncertainty Principle and Eigenvector Delocalization


On Grid Graph Reachability and Puzzle Games


On Guaranteed Optimal Robust Explanations for NLP Models


On Hadwiger's covering problem in small dimensions


On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise


On Hardening Problems in Critical Infrastructure Systems


On Hecke and asymptotic categories for complex reflection groups


On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs


On Identifiable Polytope Characterization for Polytopic Matrix Factorization


On Identifying Disaster-Related Tweets: Matching-based or Learning-based?


On Identifying Hashtags in Disaster Twitter Data


On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice


On Improving Deep Reinforcement Learning for POMDPs


On Improving Summarization Factual Consistency from Natural Language Feedback


On Improving the Backjump Level in PB Solvers


On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms


On Incorporating Inductive Biases into VAEs


On Incorporating Structural Information to improve Dialogue Response Generation


On Inductive Abilities of Latent Factor Models for Relational Learning


On Inductive Biases That Enable Generalization of Diffusion Transformers


On Inference Stability for Diffusion Models


On Inferring User Socioeconomic Status with Mobility Records


On Information-Theoretic Measures of Predictive Uncertainty


On Informative Tweet Identification For Tracking Mass Events


On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions


On Initial Pools for Deep Active Learning


On Instrumental Variable Regression for Deep Offline Policy Evaluation


On Integers Whose Sum is the Reverse of their Product


On Integral Upper Limits Assuming Power Law Spectra and the Sensitivity in High-Energy Astronomy


On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation


On Interpretability of Artificial Neural Networks: A Survey


On Intrinsic Dataset Properties for Adversarial Machine Learning


On Investigating the Conservative Property of Score-Based Generative Models


On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks


On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning


On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o


On Kemeny's constant and stochastic complement


On Koopman Mode Decomposition and Tensor Component Analysis


On Kosloff Tal-Ezer Least-Squares Quadrature Formulas


On Kostant's weight $q$-multiplicity formula for $\mathfrak{sp}_6(\mathbb{C})$


On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing


On Label Granularity and Object Localization


On Large Language Model Continual Unlearning


On Large Language Models' Hallucination with Regard to Known Facts


On Large Multimodal Models as Open-World Image Classifiers


On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation


On Latency Predictors for Neural Architecture Search


On Lazy Training in Differentiable Programming


On Learned Operator Correction in Inverse Problems


On Learning Fairness and Accuracy on Multiple Subgroups


On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression


On Learning Intrinsic Rewards for Policy Gradient Methods


On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection


On Learning Semantic Representations for Million-Scale Free-Hand Sketches


On Learning Text Style Transfer with Direct Rewards


On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector


On Learning the Optimal Regularization Parameter in Inverse Problems


On Lexical Invariance on Multisets and Graphs


On Lie-Bracket Averaging for a Class of Hybrid Dynamical Systems with Applications to Model-Free Control and Optimization


On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections


On Limited-Memory Subsampling Strategies for Bandits


On Linear Interpolation in the Latent Space of Deep Generative Models


On Linear Stability of SGD and Input-Smoothness of Neural Networks


On Local Posterior Structure in Deep Ensembles


On Location Relevance and Diversity in Human Mobility Data


On Logical Extrapolation for Mazes with Recurrent and Implicit Networks


On Long-Tailed Phenomena in Neural Machine Translation


On Low-rank Trace Regression under General Sampling Distribution


On MCMC mixing under unidentified nonparametric models with an application to survival predictions under transformation models


On ML-Based Program Translation: Perils and Promises


On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations


On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena


On Manipulating Scene Text in the Wild with Diffusion Models


On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering


On Manipulating Weight Predictions in Signed Weighted Networks


On Margins and Generalisation for Voting Classifiers


On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery


On Matrix Factorizations in Subspace Clustering


On Matrix Representations of Groups of Order $p^5$ over $\mathbb{Q}$


On Measuring Context Utilization in Document-Level MT Systems


On Measuring Excess Capacity in Neural Networks


On Measuring Faithfulness or Self-consistency of Natural Language Explanations


On Measuring Gender Bias in Translation of Gender-neutral Pronouns


On Measuring Social Biases in Prompt-Based Multi-Task Learning


On Measuring Social Biases in Sentence Encoders


On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications


On Measuring and Controlling the Spectral Bias of the Deep Image Prior


On Measuring and Mitigating Biased Inferences of Word Embeddings


On Measuring the Diversity of Organizational Networks


On Mechanistic Knowledge Localization in Text-to-Image Generative Models


On Membership Inference Attacks in Knowledge Distillation


On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability


On Metric Learning for Audio-Text Cross-Modal Retrieval


On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring


On Mini-Batch Training with Varying Length Time Series


On Mitigating Hard Clusters for Face Clustering


On Model Calibration for Long-Tailed Object Detection and Instance Segmentation


On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee


On Model Evaluation under Non-constant Class Imbalance


On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls


On Model Stability as a Function of Random Seed


On Monotonic Aggregation for Open-domain QA


On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond


On Multi-Modal Learning of Editing Source Code


On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness


On Naisargik Images of Varshamov-Tenengolts and Helberg Codes


On Narrative Information and the Distillation of Stories


On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment


On Neural Architectures for Astronomical Time-series Classification with Application to Variable Stars


On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals


On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models


On Neural-Network Representation of Wireless Self-Interference for Inband Full-Duplex Communications


On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation


On Noisy Evaluation in Federated Hyperparameter Tuning


On Non- and Weakly-Informative Priors for the Conway-Maxwell-Poisson (COM-Poisson) Distribution


On Non-Random Missing Labels in Semi-Supervised Learning


On Numerical Considerations for Riemannian Manifold Hamiltonian Monte Carlo


On Numerical Integration in Neural Ordinary Differential Equations


On Optimal Caching and Model Multiplexing for Large Model Inference


On Optimal Partitioning For Sparse Matrices In Variable Block Row Format


On Optimal Quantization in Sequential Detection


On Optimal Regularization Parameters via Bilevel Learning


On Optimal Strategies for Wordle and General Guessing Games


On Optimal Transformer Depth for Low-Resource Language Translation


On Optimally Partitioning Variable-Byte Codes


On Optimizing Hyperparameters for Quantum Neural Networks


On Optimizing Interventions in Shared Autonomy


On Optimizing the Conditional Value-at-Risk of a Maximum Cost for Risk-Averse Safety Analysis


On Orderings of Probability Vectors and Unsupervised Performance Estimation


On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors


On Out-of-distribution Detection with Energy-based Models


On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Low-Dimensional Submanifolds of $\mathbb{R}^N$


On Output Activation Functions for Adversarial Losses: A Theoretical Analysis via Variational Divergence Minimization and An Empirical Study on MNIST Classification


On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology


On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization


On Parabolic Subgroups of Symplectic Reflection Groups


On Parallel External-Memory Bidirectional Search


On Parametric Optimal Execution and Machine Learning Surrogates


On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods


On Path Integration of Grid Cells: Group Representation and Isotropic Scaling


On Path to Multimodal Historical Reasoning: HistBench and HistAgent


On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations


On Penalty-based Bilevel Gradient Descent Method


On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework


On Pitfalls of $\textit{RemOve-And-Retrain}$: Data Processing Inequality Perspective


On Plug-and-Play Regularization using Linear Denoisers


On Polynomial Approximation of Activation Function


On Polynomial Stochastic Barrier Functions: Bernstein Versus Sum-of-Squares


On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis


On Positional Bias of Faithfulness for Long-form Summarization


On Practical Diversified Recommendation with Controllable Category Diversity Framework


On Practical Nearest Sub-Trajectory Queries under the Fréchet Distance


On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline


On Pre-trained Language Models for Antibody


On Predictive planning and counterfactual learning in active inference


On Preemption and Learning in Stochastic Scheduling


On Pretraining Data Diversity for Self-Supervised Learning


On Prism Cross-Dispersers -- Modelling Échelle Spectrograms


On Privacy and Personalization in Cross-Silo Federated Learning


On Private Online Convex Optimization: Optimal Algorithms in $\ell_p$-Geometry and High Dimensional Contextual Bandits


On Probabilistic Termination of Functional Programs with Continuous Distributions


On Probability Shaping for 5G MIMO Wireless Channel with Realistic LDPC Codes


On Procedural Adversarial Noise Attack And Defense


On Provable Benefits of Depth in Training Graph Convolutional Networks


On Provable Length and Compositional Generalization


On Provably Robust Meta-Bayesian Optimization


On Pruning for Score-Based Bayesian Network Structure Learning


On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture


On Quantitative Evaluations of Counterfactuals


On Quantizing Neural Representation for Variable-Rate Video Coding


On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks


On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics


On Randomization of Affine Diffusion Processes with Application to Pricing of Options on VIX and S&P 500


On Rational Recursion for Holonomic Sequences


On Reasoning Strength Planning in Large Reasoning Models


On Recognizing Occluded Faces in the Wild


On Recovering Higher-order Interactions from Protein Language Models


On Recurrence Relations of Multi-dimensional Sequences


On Recurrent Neural Networks for Sequence-based Processing in Communications


On Regularizability and its Application to Online Control of Unstable LTI Systems


On Relation-Specific Neurons in Large Language Models


On Representation Knowledge Distillation for Graph Neural Networks


On Representing Linear Programs by Graph Neural Networks


On Representing Mixed-Integer Linear Programs by Graph Neural Networks


On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry


On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation


On Robust Prefix-Tuning for Text Classification


On Robust Regulation of PDEs: from Abstract Methods to PDE Controllers


On Robust Trimming of Bayesian Network Classifiers


On Robustness and Bias Analysis of BERT-based Relation Extraction


On Robustness of Finetuned Transformer-based NLP Models


On Robustness of Neural Ordinary Differential Equations


On Robustness to Adversarial Examples and Polynomial Optimization


On Rollouts in Model-Based Reinforcement Learning


On Root Cause Localization and Anomaly Mitigation through Causal Inference


On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons


On Sampling Collaborative Filtering Datasets


On Sampling with Approximate Transport Maps


On Scalable Integrity Checking for Secure Cloud Disks


On Scrambling Phenomena for Randomly Initialized Recurrent Networks


On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning


On Second-Order Derivatives of Rigid-Body Dynamics: Theory & Implementation


On Security Weaknesses and Vulnerabilities in Deep Learning Systems


On Semantic Similarity in Video Retrieval


On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis


On Separate Normalization in Self-supervised Transformers


On Sequential Bayesian Inference for Continual Learning


On Shapley Value in Data Assemblage Under Independent Utility


On Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian Manifolds


On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes


On Signatures of Clouds in Exoplanetary Transit Spectra


On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning


On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means


On Single Source Robustness in Deep Fusion Models


On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem


On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks


On Softmax Direct Preference Optimization for Recommendation


On Software Ageing Indicators in OpenStack


On Solar Photovoltaic Parameter Estimation: Global Optimality Analysis and a Simple Efficient Differential Evolution Method


On Solving Close Enough Orienteering Problems with Overlapped Neighborhoods


On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms


On Solving the 2-Dimensional Greedy Shooter Problem for UAVs


On Sparse Grid Interpolation for American Option Pricing with Multiple Underlying Assets


On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency


On Statistical Analysis of MOEAs with Multiple Performance Indicators


On Statistical Discrimination as a Failure of Social Learning: A Multi-Armed Bandit Approach


On Stellar Migration from Andromeda to the Milky Way


On Stochastic Rounding with Few Random Bits


On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation


On Strong Stability of Explicit Runge-Kutta Methods for Nonlinear Semibounded Operators


On Strong-Scaling and Open-Source Tools for High-Throughput Quantification of Material Point Cloud Data: Composition Gradients, Microstructural Object Reconstruction, and Spatial Correlations


On Structural Explanation of Bias in Graph Neural Networks


On Structured Prediction Theory with Calibrated Convex Surrogate Losses


On Subjective Uncertainty Quantification and Calibration in Natural Language Generation


On Sums of Practical Numbers and Polygonal Numbers


On Surgical Fine-tuning for Language Encoders


On Symbol Error Probability-based Beamforming in MIMO Gaussian Wiretap Channels


On Symmetric Losses for Robust Policy Optimization with Noisy Preferences


On Tail Decay Rate Estimation of Loss Function Distributions


On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback


On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning


On Task-Level Dialogue Composition of Generative Transformer Model


On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models


On The Coherence of Quantitative Evaluation of Visual Explanations


On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules


On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and Classifiers


On The Effects of The Variations In Network Characteristics In Cyber Physical Systems


On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks


On The Evaluation of Machine Translation Systems Trained With Back-Translation


On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach


On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing


On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena


On The Persona-based Summarization of Domain-Specific Documents


On The Relationship Between Universal Adversarial Attacks And Sparse Representations


On The Robustness of Offensive Language Classifiers


On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case


On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools


On Tracking Java Methods with Git Mechanisms


On Tractable Computation of Expected Predictions


On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation


On Training Data Influence of GPT Models


On Training Robust PDF Malware Classifiers


On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition


On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis


On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition


On Transferability of Prompt Tuning for Natural Language Processing


On Transferring Transferability: Towards a Theory for Size Generalization


On Tree-based Methods for Similarity Learning


On Trimming Tensor-structured Measurements and Efficient Low-rank Tensor Recovery


On Two LZ78-style Grammars: Compression Bounds and Compressed-Space Computation


On Unbiased Estimation for Discretized Models


On Unbiased Score Estimation for Partially Observed Diffusions


On Uncertainty Quantification for Near-Bayes Optimal Algorithms


On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning


On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification


On Universal Black-Box Domain Adaptation


On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights


On Using Deep Learning Proxies as Forward Models in Deep Learning Problems


On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation


On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization


On Using Machine Learning to Identify Knowledge in API Reference Documentation


On Using Quasirandom Sequences in Machine Learning for Model Weight Initialization


On Variational Learning of Controllable Representations for Text without Supervision


On Verbalized Confidence Scores for LLMs


On Vessel Location Forecasting and the Effect of Federated Learning


On Vision Features in Multimodal Machine Translation


On Web-based Visual Corpus Construction for Visual Document Understanding


On Zero-Shot Counterspeech Generation by LLMs


On a Built-in Conflict between Deep Learning and Systematic Generalization


On a Computationally Ill-Behaved Bilevel Problem with a Continuous and Nonconvex Lower Level


On a Connection Between Imitation Learning and RLHF


On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs


On a Guided Nonnegative Matrix Factorization


On a Notion of Graph Centrality Based on L1 Data Depth


On a class of fusion 2-category symmetry: condensation completion of braided fusion category


On a class of high dimensional linear regression methods with debiasing and thresholding


On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle


On a density conjecture about unit fractions


On a game of chance in Marc Elsberg's thriller "GREED"


On a kinetic opinion formation model for pre-election polling


On a linear fused Gromov-Wasserstein distance for graph structured data


On a new family of weighted Gaussian processes: an application to bat telemetry data


On a new robust method of inference for general time series models


On a prior based on the Wasserstein information matrix


On a question of Haemers regarding vectors in the nullspace of Seidel matrices


On a three-dimensional and two four-dimensional oncolytic viro-therapy models


On a time-frequency blurring operator with applications in data augmentation


On a trace formula of counting Eulerian cycles


On a tropicalization of planar polynomial ODEs with finitely many structurally stable phase portraits


On a wider class of prior distributions for graphical models


On abelian varieties whose torsion is not self-dual


On accelerated coordinate descent methods for searching equilibria in two-stage transportation equilibrium traffic flow distribution model


On activation in solid ionic electrolytes


On adaptive stochastic extended iterative methods for solving least squares


On adaptive stochastic heavy ball momentum for solving linear systems


On adjustment for temperature in heatwave epidemiology: a new method and toward clarification of methods to estimate health effects of heatwaves


On adversarial training and the 1 Nearest Neighbor classifier


On algebraic Stein operators for Gaussian polynomials


On algorithms to calculate integer complexity


On an induced version of Menger's theorem


On approximate data reduction for the Rural Postman Problem: Theory and experiments


On approximation for time-fractional stochastic diffusion equations on the unit sphere


On audio enhancement via online non-negative matrix factorization


On basis set optimisation in quantum chemistry


On better training the infinite restricted Boltzmann machines


On binomial sums, additive energies, and lazy random walks


On calculating the slice genera of 11- and 12-crossing knots


On classical inequalities for autocorrelations and autoconvolutions


On community structure validation in real networks


On computing finite index subgroups of PSL(2,Z)


On computing local monodromy and the numerical local irreducible decomposition


On concentration of the empirical measure for radial transport costs


On conditional diffusion models for PDE simulations


On convergence of a $q$-random coordinate constrained algorithm for non-convex problems


On convergence rates of adaptive ensemble Kalman inversion for linear ill-posed problems


On convex decision regions in deep network representations


On correlation of the 3-fold divisor function with itself


On data usage and predictive behavior of data-driven predictive control with 1-norm regularization


On data-driven chance constraint learning for mixed-integer optimization problems


On dataset transferability in medical image classification


On de novo Bridging Paired-end RNA-seq Data


On deceiving malware classification with section injection


On decision-theoretic model assessment for structural deterioration monitoring


On decompositions for Fano schemes of intersections of two quadrics


On digraphs with polygonal restricted numerical range


On double-descent in uncertainty quantification in overparametrized models


On edge-colouring-games by Erdős, and Bensmail and Mc Inerney


On efficient computation in active inference


On efficient normal bases over binary fields


On electron imaging of small molecules, Part II: tomographic reconstruction from defocus series


On enhancing the robustness of Vision Transformers: Defensive Diffusion


On error-based step size control for discontinuous Galerkin methods for compressible fluid dynamics


On estimating the structure factor of a point process, with applications to hyperuniformity


On estimators of the mean of infinite dimensional data in finite populations


On evaluation of the confluent Heun functions


On exploration requirements for learning safety constraints