Finding Locomanipulation Plans Quickly in the Locomotion Constrained Manifold


Finding Logic Bugs in Spatial Database Engines via Affine Equivalent Inputs


Finding Materialized Models for Model Reuse


Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras


Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks


Finding Motifs in Knowledge Graphs using Compression


Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models


Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles


Finding Neurons in a Haystack: Case Studies with Sparse Probing


Finding Optimal Diverse Feature Sets with Alternative Feature Selection


Finding Optimal Modular Robots for Aerial Tasks


Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks


Finding Optimally Robust Data Mixtures via Concave Maximization


Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning


Finding Orientations of Supersingular Elliptic Curves and Quaternion Orders


Finding Pareto Efficient Redistricting Plans with Short Bursts


Finding Paths for Explainable MOOC Recommendation: A Learner Perspective


Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary


Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs


Finding Qs: Profiling QAnon Supporters on Parler


Finding Regions of Counterfactual Explanations via Robust Optimization


Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance


Finding Relevant Flood Images on Twitter using Content-based Filters


Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases


Finding Root Causes of Floating Point Error with Herbgrind


Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs


Finding Skill Neurons in Pre-trained Transformer-based Language Models


Finding Software Vulnerabilities in Open-Source C Projects via Bounded Model Checking


Finding Sparse Structures for Domain Specific Neural Machine Translation


Finding Statistically Significant Attribute Interactions


Finding Streams in Knowledge Graphs to Support Fact Checking


Finding Structural Knowledge in Multimodal-BERT


Finding Structure and Causality in Linear Programs


Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks


Finding Task-Relevant Features for Few-Shot Learning by Category Traversal


Finding Tori: Self-supervised Learning for Analyzing Korean Folk Song


Finding Transformer Circuits with Edge Pruning


Finding Universal Grammatical Relations in Multilingual BERT


Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge


Finding Visual Saliency in Continuous Spike Stream


Finding a Balanced Degree of Automation for Summary Evaluation


Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs


Finding a Fair Scoring Function for Top-$k$ Selection: From Hardness to Practice


Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion


Finding a Widely Digitally Delicate Prime


Finding a sparse vector in a subspace: Linear sparsity using alternating directions


Finding accreted stars in the Milky Way: clues from NIHAO simulations


Finding and Analyzing Crash-Consistency Bugs in Persistent-Memory File Systems


Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers


Finding and Listing Front-door Adjustment Sets


Finding beans in burgers: Deep semantic-visual embedding with localization


Finding community structure using the ordered random graph model


Finding counterparts for All-sky X-ray surveys with Nway: a Bayesian algorithm for cross-matching multiple catalogues


Finding critical transitions of the post-disaster recovery using the sensitivity analysis of agent-based models


Finding events in temporal networks: Segmentation meets densest-subgraph discovery


Finding excesses in model parameter space


Finding hardness reductions automatically using SAT solvers


Finding hidden order in spin models with persistent homology


Finding large counterexamples by selectively exploring the Pachner graph


Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization


Finding path motifs in large temporal graphs using algebraic fingerprints


Finding signatures of low-dimensional geometric landscapes in high-dimensional cell fate transitions


Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders


Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter


Finding the Homology of Decision Boundaries with Active Learning


Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks


Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing


Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs


Finding the Needle in a Haystack: Detecting Bug Occurrences in Gameplay Videos


Finding the Optimal Network Depth in Classification Tasks


Finding the Optimal Vocabulary Size for Neural Machine Translation


Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0


Finding the Right Curve: Optimal Design of Constant Function Market Makers


Finding the Right Way to Rome: Effect-oriented Graph Transformation


Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings


Finding the Sweet Spot for Frame Aggregation in 802.11 WLANs


Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks


Finding the most similar textual documents using Case-Based Reasoning


Finding the nearest $Ω$-stable pencil with Riemannian optimization


Finding the nearest bounded-real port-Hamiltonian system


Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science


Finding the semantic similarity in single-particle diffraction images using self-supervised contrastive projection learning


Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task


Finding trainable sparse networks through Neural Tangent Transfer


Finding twin smooth integers by solving Pell equations


Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora


Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian


Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation


Fine Flood Forecasts: Incorporating local data into global models through fine-tuning


Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction


Fine Tuning Large Language Models to Deliver CBT for Depression


Fine Tuning Text-to-Image Diffusion Models for Correcting Anomalous Images


Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge


Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT


Fine-Grain Checkpointing with In-Cache-Line Logging


Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions


Fine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks


Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching


Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences


Fine-Grained Argument Unit Recognition and Classification


Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media


Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning


Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks


Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning


Fine-Grained Classroom Activity Detection from Audio with Neural Networks


Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator


Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models


Fine-Grained Domain Generalization with Feature Structuralization


Fine-Grained Dynamic Head for Object Detection


Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications


Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks


Fine-Grained Emotion Prediction by Modeling Emotion Definitions


Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings


Fine-Grained Entity Typing for Domain Independent Entity Linking


Fine-Grained Entity Typing in Hyperbolic Space


Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving


Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective


Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning


Fine-Grained Grounding for Multimodal Speech Recognition


Fine-Grained Image Captioning with Global-Local Discriminative Objective


Fine-Grained Image Style Transfer with Visual Transformers


Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation


Fine-Grained ImageNet Classification in the Wild


Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning


Fine-Grained Lineage for Safer Notebook Interactions


Fine-Grained Liquid Democracy for Cumulative Ballots


Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering


Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset


Fine-Grained Named Entities for Corona News


Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks


Fine-Grained Object Classification via Self-Supervised Pose Alignment


Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection


Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model


Fine-Grained Predicates Learning for Scene Graph Generation


Fine-Grained Prediction of Reading Comprehension from Eye Movements


Fine-Grained Product Classification on Leaflet Advertisements


Fine-Grained Prototypes Distillation for Few-Shot Object Detection


Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering


Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding


Fine-Grained Scene Graph Generation with Data Transfer


Fine-Grained Scene Image Classification with Modality-Agnostic Adapter


Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction


Fine-Grained Semantically Aligned Vision-Language Pre-Training


Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment


Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning


Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language Models


Fine-Grained System Identification of Nonlinear Neural Circuits


Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning


Fine-Grained VR Sketching: Dataset and Insights


Fine-Grained Visual Classification of Plant Species In The Wild: Object Detection as A Reinforced Means of Attention


Fine-Grained Visual Classification using Self Assessment Classifier


Fine-Grained Zero-Shot Learning with DNA as Side Information


Fine-Grained and Interpretable Neural Speech Editing


Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation


Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation


Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification


Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books


Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains


Fine-Tuned Self-Supervised Speech Representations for Language Diarization in Multilingual Code-Switched Speech


Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing


Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews


Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia


Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features


Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design


Fine-Tuning Generative Models as an Inference Method for Robotic Tasks


Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport


Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think


Fine-Tuning InstructPix2Pix for Advanced Image Colorization


Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese


Fine-Tuning Language Models for Scientific Writing Support


Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification


Fine-Tuning Language Models with Advantage-Induced Policy Alignment


Fine-Tuning Language Models with Just Forward Passes


Fine-Tuning Large Language Models on Quantum Optimization Problems for Circuit Generation


Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively


Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach


Fine-Tuning Pre-trained Transformers into Decaying Fast Weights


Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study


Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets


Fine-Tuning Transformers: Vocabulary Transfer


Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation


Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges


Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation


Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models


Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection


Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating


Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos


Fine-grained Angular Contrastive Learning with Coarse Labels


Fine-grained Appearance Transfer with Diffusion Models


Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution


Fine-grained Background Representation for Weakly Supervised Semantic Segmentation


Fine-grained Classes and How to Find Them


Fine-grained Code Coverage Measurement in Automated Black-box Android Testing


Fine-grained Contract NER using instruction based model


Fine-grained Contrastive Learning for Definition Generation


Fine-grained Conversational Decoding via Isotropic and Proximal Search


Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis


Fine-grained Data Distribution Alignment for Post-Training Quantization


Fine-grained Distributed Averaging for Large-scale Radio Interferometric Measurement Sets


Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage


Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks


Fine-grained Fallacy Detection with Human Label Variation


Fine-grained Forecasting Models Via Gaussian Process Blurring Effect


Fine-grained Graph Learning for Multi-view Subspace Clustering


Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene


Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-Chinese


Fine-grained Image Captioning with CLIP Reward


Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models


Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models


Fine-grained List-wise Alignment for Generative Medication Recommendation


Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks


Fine-grained Optimization of Deep Neural Networks


Fine-grained Population Mapping from Coarse Census Counts and Open Geodata


Fine-grained Private Knowledge Distillation


Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer


Fine-grained Recognition with Learnable Semantic Data Augmentation


Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model


Fine-grained Text Style Transfer with Diffusion-Based Language Models


Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval


Fine-grained Visual Classification with High-temperature Refinement and Background Suppression


Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders


Fine-grained differentiable physics: a yarn-level model for fabrics


Fine-grained spatial-temporal perception for gas leak segmentation


Fine-grained style control in Transformer-based Text-to-speech Synthesis


Fine-grained subjective visual quality assessment for high-fidelity compressed images


Fine-grained visual recognition with salient feature detection


Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models


Fine-tune Bert for DocRED with Two-step Process


Fine-tuned CLIP Models are Efficient Video Learners


Fine-tuned Language Models are Continual Learners


Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!


Fine-tuning BERT-based models for Plant Health Bulletin Classification


Fine-tuning ERNIE for chest abnormal imaging signs extraction


Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning


Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns


Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees


Fine-tuning Large Language Models for Entity Matching


Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering


Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions


Fine-tuning Multimodal Large Language Models for Product Bundling


Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation


Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction


Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization


Fine-tuning Quantized Neural Networks with Zeroth-order Optimization


Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem


Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study


Fine-tuning Whisper on Low-Resource Languages for Real-World Applications


Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations


Fine-tuning a Subtle Parsing Distinction Using a Probabilistic Decision Tree: the Case of Postnominal "that" in Noun Complement Clauses vs. Relative Clauses


Fine-tuning can cripple your foundation model; preserving features may be the solution


Fine-tuning deep CNN models on specific MS COCO categories


Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge


Fine-tuning of Pre-trained Transformers for Hate, Offensive, and Profane Content Detection in English and Marathi


Fine-tuning of sign language recognition models: a technical report


Fine-tuning the ESM2 protein language model to understand the functional impact of missense variants


Fine-tuning the dispersion of active suspensions with oscillatory flows


FineAction: A Fine-Grained Video Dataset for Temporal Action Localization


FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval


FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment


FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation


FineDeb: A Debiasing Framework for Language Models


FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment


FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features


FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection


FineIBT: Fine-grain Control-flow Enforcement with Indirect Branch Tracking


FineMedLM-o1: Enhancing the Medical Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training


FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing


FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models


FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment


FineRec:Exploring Fine-grained Sequential Recommendation


FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction


FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?


FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language


FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression


Finer Metagenomic Reconstruction via Biodiversity Optimization


Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation


FinerWeb-10BT: Refining Web Data with LLM-Based Line-Level Filtering


Finetune like you pretrain: Improved finetuning of zero-shot vision models


Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation


Finetuning BERT on Partially Annotated NER Corpora


Finetuning CLIP to Reason about Pairwise Differences


Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion


Finetuning Large Language Model for Personalized Ranking


Finetuning Large Language Models for Vulnerability Detection


Finetuning Pretrained Transformers into Variational Autoencoders


Finetuning Text-to-Image Diffusion Models for Fairness


Finger Pose Estimation for Under-screen Fingerprint Sensor


Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World


FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement


Fingerprint Attack: Client De-Anonymization in Federated Learning


Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising


Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning


Fingerprinting Fine-tuned Language Models in the Wild


Fingerprinting Orientation Distribution Functions in Diffusion MRI detects smaller crossing angles


Fingerprinting web servers through Transformer-encoded HTTP response headers


Fingerspelling Detection in American Sign Language


Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models


Finite Element Methods for Isotropic Isaacs Equations with Viscosity and Strong Dirichlet Boundary Conditions


Finite Element Reconstruction Of Stiffness Images In MR Elastography Using Statistical Physical Forward Modeling And Proximal Optimization Methods


Finite Expression Method for Solving High-Dimensional Partial Differential Equations


Finite Gaussian Neurons: Defending against adversarial attacks by making neural networks say "I don't know"


Finite Group Equivariant Neural Networks for Games


Finite Horizon Robust Synthesis Using Integral Quadratic Constraints


Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count Data


Finite Sample Complexity Analysis of Binary Segmentation


Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent Noise


Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications


Finite Step Performance of First-order Methods Using Interpolation Conditions Without Function Evaluations


Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation


Finite Volume Neural Network: Modeling Subsurface Contaminant Transport


Finite element analysis of a nematic liquid crystal Landau-de Gennes model with quartic elastic terms


Finite element discretization of nonlinear models of ultrasound heating


Finite element hybridization of port-Hamiltonian systems


Finite element methods for large-strain poroelasticity/chemotaxis models simulating the formation of myocardial oedema


Finite element methods for multicomponent convection-diffusion


Finite groups with geodetic Cayley graphs


Finite gyro-radius multidimensional electron hole equilibria


Finite phase coherence time of a bosonic quantum field at the Boltzmann equilibrium


Finite resonance widths influence thermal model description of hadron yields


Finite sample guarantees for quantile estimation: An application to detector threshold tuning


Finite sample inference for empirical Bayesian methods


Finite sample performance of optimal treatment rule estimators with right-censored outcomes


Finite section method for aperiodic Schrödinger operators


Finite size analysis of the detectability limit of the stochastic block model


Finite strain constitutive modeling for shape memory alloys considering transformation-induced plasticity and two-way shape memory effect


Finite time BV blowup for Liu-admissible solutions to $p$-system via computer-assisted proof


Finite volume discretisation of fracture deformation in thermo-poroelastic media


Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication


Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems


Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System


Finite-Element Simulation of an Accelerator Magnet: an Exercise


Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach


Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows


Finite-Lens Effect on Self-Lensing in detached White Dwarfs-Main Sequence Binary Systems


Finite-PINN: A Physics-Informed Neural Network with Finite Geometric Encoding for Solid Mechanics


Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness


Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning


Finite-State Machines for Horospheres in Hyperbolic Right-Angled Coxeter Groups


Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs


Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning


Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input


Finite-sample Rousseeuw-Croux scale estimators


Finite-sample analysis of M-estimators using self-concordance


Finite-sample bias-correction factors for the median absolute deviation based on the Harrell-Davis quantile estimator and its trimmed modification


Finite-size correlation behavior near a critical point: a simple metric for monitoring the state of a neural network


Finite-size security analysis for quantum protocols: A Python framework using the Entropy Accumulation Theorem with graphical interface


Finite-temperature mean-field approximations for shell model Hamiltonians: the code HF-SHELL


Finite-temperature optical conductivity with density-matrix renormalization group methods for the Holstein polaron and bipolaron with dispersive phonons


Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits


FiniteFieldSolve: Exactly Solving Large Linear Systems in High-Energy Theory


FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations


Finnish Dialect Identification: The Effect of Audio and Text


Finnish Parliament ASR corpus - Analysis, benchmarks and statistics


Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance


Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding


Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models


FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving


Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?


Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume Behavior


Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring


Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction


Fire and Smoke Detection with Burning Intensity Representation


Fire in SRRN: Next-Gen 3D Temperature Field Reconstruction Technology


FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching


FireBERT: Hardening BERT-based classifiers against adversarial attack


FireCommander: An Interactive, Probabilistic Multi-agent Environment for Heterogeneous Robot Teams


FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing


FireFly A Synthetic Dataset for Ember Detection in Wildfire


FireGuard: A Generalized Microarchitecture for Fine-Grained Security Analysis on OoO Superscalar Cores


FirePower: Towards a Foundation with Generalizable Knowledge for Architecture-Level Power Modeling


FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration


FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning


Fireball characteristics derivable from acoustic data


Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks


FirmCore Decomposition of Multilayer Networks


FirmRCA: Towards Post-Fuzzing Analysis on ARM Embedded Firmware with Efficient Event-based Fault Localization


FirmTruss Community Search in Multilayer Networks


First Betti number of the path homology of random directed graphs


First Chromospheric Activity and Doppler Imaging Study of PW And Using a New Doppler Imaging Code: SpotDIPy


First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization


First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending


First Detection of the BAO Signal from Early DESI Data


First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise


First Experiences Optimizing Smith-Waterman on Intel's Knights Landing Processor


First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites


First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning


First Light And Reionisation Epoch Simulations (FLARES) II: The Photometric Properties of High-Redshift Galaxies


First Light And Reionisation Epoch Simulations (FLARES) XIII: The Lyman-continuum emission of high-redshift galaxies


First Occurrence of Parity Vectors and the Regular Structure of $k$-Span Predecessor Sets in the Collatz Graph


First Order Constrained Optimization in Policy Space


First Order Generative Adversarial Networks


First Passage Time for Many Particle Diffusion in Space-Time Random Environments


First Place Solution to the CVPR'2023 AQTC Challenge: A Function-Interaction Centric Approach with Spatiotemporal Visual-Language Alignment


First Principles Calculations for Topological Quantum Materials


First Principles Validation of Energy Barriers in Ni$_{75}$Al$_{25}$


First Step Towards EXPLAINable DGA Multiclass Classification


First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay


First Tree-like Quantum Data Structure: Quantum B+ Tree


First U-Net Layers Contain More Domain Specific Information Than The Last Ones


First Use of GPS Satellites for Beam Calibration of Radio Telescopes


First VLTI/GRAVITY Observations of HIP 65426 b: Evidence for a Low or Moderate Orbital Eccentricity


First and second-generation black hole and neutron star mergers in 2+2 quadruples: population statistics


First constraint on the dissipative tidal deformability of neutron stars


First constraints on QCD axion dark matter using James Webb Space Telescope observations


First constraints on axion-like particles from Galactic sub-PeV gamma rays


First demonstration of a post-quantum key-exchange with a nanosatellite


First is Better Than Last for Language Data Influence


First isola of modulational instability of Stokes waves in deep water


First line of defense: A robust first layer mitigates adversarial attacks


First observations of a geomagnetic superstorm with a sub-L1 monitor


First order non-instantaneous corrections in collisional kinetic alignment models


First passage time and information of a one-dimensional Brownian particle with stochastic resetting to random positions


First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces


First results from SMAUG: Characterization of Multiphase Galactic Outflows from a Suite of Local Star-Forming Galactic Disk Simulations


First results from a low cost software defined radio system monitoring VHF equatorial ionospheric scintillations in the Indian sector


First the worst: Finding better gender translations during beam search


First two moments and cross-moments of some coalescent times of the pure birth tree


First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs


First-Order Logic for Flow-Limited Authorization


First-Order Manifold Data Augmentation for Regression Learning


First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points


First-Principles Nanocapacitor Simulations of the Optical Dielectric Constant in Water Ice


First-Principles Screening of Metal-Organic Frameworks for Entangled Photon Pair Generation


First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network


First-order Adversarial Vulnerability of Neural Networks and Input Dimension


First-order methods for the convex hull membership problem


First-passage percolation on random simple triangulations


First-principles Hubbard parameters with automated and reproducible workflows


First-principles calculation of anomalous Hall and Nernst conductivity by local Berry phase


First-principles molecular structure search with a genetic algorithm


First-principles prediction of the information processing capacity of a simple genetic circuit


First-principles wavevector- and frequency-dependent exchange-correlation kernel for jellium at all densities


Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort


Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation


Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis


Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images


FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection


FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching


Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks


Fisher Discriminative Least Squares Regression for Image Classification


Fisher Efficient Inference of Intractable Models


Fisher Information Embedding for Node and Graph Learning


Fisher Scoring for crossed factor Linear Mixed Models


Fisher Task Distance and Its Application in Neural Architecture Search


Fisher-Bures Adversary Graph Convolutional Networks


FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information


FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information


Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model Conversion


FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye Camera


FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera images


Fishing For Cheap And Efficient Pruners At Initialization


Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models


Fishing for the Optimal Roman High Latitude Time Domain Survey: Cosmological Constraints for 1,000 Possible Surveys


Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization


Fission Fragment Decay Simulations with the CGMF Code


Fission-fusion dynamics and group-size dependent composition in heterogeneous populations


FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition


Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models


FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation


FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning


FitVid: Overfitting in Pixel-Level Video Prediction


Fitness Approximation through Machine Learning


Fitness Dependent Optimizer with Neural Networks for COVID-19 patients


Fitness-Based Growth of Directed Networks with Hierarchy


Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA


Fitted Learning: Models with Awareness of their Limits


Fitted Value Iteration Methods for Bicausal Optimal Transport


Fitting A Mixture Distribution to Data: Tutorial


Fitting Laguerre tessellation approximations to tomographic image data


Fitting Matérn Smoothness Parameters Using Automatic Differentiation


Fitting Multiple Machine Learning Models with Performance Based Clustering


Fitting Prediction Rule Ensembles to Psychological Research Data: An Introduction and Tutorial


Fitting Probabilistic Index Models on Large Datasets


Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences


Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets


Fitting a Deep Generative Hadronization Model


Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning


Fitting an ellipsoid to random points: predictions using the replica method


Fitting galaxy spectra with STECKMAP: a user guide


Fitting stochastic epidemic models to gene genealogies using linear noise approximation


Fitting stochastic predator-prey models using both population density and kill rate data


Fitting summary statistics of neural data with a differentiable spiking network simulator


Fitting the Discrete Swept Skeletal Representation to Slabular Objects


Fitting the Distribution of Linear Combinations of t-Variables with more than 2 Degrees of Freedom


Fitting the b-quark PDF as a massive-b scheme: Higgs production in bottom fusion


Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models


Fitting transients with discs (FitTeD): a public light curve and spectral fitting package based on evolving relativistic discs


Five A$^{+}$ Network: You Only Need 9K Parameters for Underwater Image Enhancement


Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework


Five Points to Check when Comparing Visual Perception in Humans and Machines


Five Starter Pieces: Quantum Information Science via Semi-definite Programs


Five parameters are all you need (in $Λ$CDM)


Five ways to recover the symbol of a non-binary localization operator


Fix and Bound: An efficient approach for solving large-scale quadratic programming problems with box constraints


Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data


FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation


FixDrive: Automatically Repairing Autonomous Vehicle Driving Behaviour for $0.08 per Violation


FixEval: Execution-based Evaluation of Program Fixes for Programming Problems


FixMyPose: Pose Correctional Captioning and Retrieval


FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity


Fixed Depth Hamiltonian Simulation via Cartan Decomposition


Fixed Point Quasiconvex Subgradient Method


Fixed Support Tree-Sliced Wasserstein Barycenter


Fixed Topology Minimum-Length Trees with Neighborhoods


Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera


Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters


Fixed and adaptive landmark sets for finite pseudometric spaces


Fixed point label attribution for real-time bidding


Fixed points of nonnegative neural networks


Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression


Fixed-Length Dense Fingerprint Representation


Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition


Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning


Fixed-Point Algorithms for Solving the Critical Value and Upper Tail Quantile of Kuiper's Statistics


Fixed-Point and Objective Convergence of Plug-and-Play Algorithms


Fixed-Posit: A Floating-Point Representation for Error-Resilient Applications


Fixed-Weight Difference Target Propagation


Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity


Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms


Fixed-point tensor is a four-point function


Fixed-sparsity matrix approximation from matrix-vector products


Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems


Fixing Large Language Models' Specification Misunderstanding for Better Code Generation


Fixing Model Bugs with Natural Language Patches


Fixing Overconfidence in Dynamic Neural Networks


Fixing Vulnerabilities Potentially Hinders Maintainability


Fixing the flux: A dual approach to computing transport coefficients


FlEC: Enhancing QUIC with application-tailored reliability mechanisms


FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation


Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning


Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization


Flag Hilbert-Poincaré series of hyperplane arrangements and their Igusa zeta functions


FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation


FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation


FlairNLP at SemEval-2023 Task 6b: Extraction of Legal Named Entities from Legal Texts using Contextual String Embeddings


Flakify: A Black-Box, Language Model-based Predictor for Flaky Tests


Flaky Test Sanitisation via On-the-Fly Assumption Inference for Tests with Network Dependencies


Flame: Simplifying Topology Extension in Federated Learning


FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames


Flames: Benchmarking Value Alignment of LLMs in Chinese


Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning


FlanEC: Exploring Flan-T5 for Post-ASR Error Correction


Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals


Flare Kernels May be Smaller than You Think: Modelling the Radiative Response of Chromospheric Plasma Adjacent to a Solar Flare


Flare forecasting at the Met Office Space Weather Operations Centre


Flare frequency in M dwarfs belonging to Young Moving Groups


Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification


Flare-accelerated Electrons in the Kappa Distribution from X-Ray Spectra with the Warm-Target Model


Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation


Flaring Latitudes in Ensembles of Low Mass Stars


Flaring together: A preferred angular separation between sympathetic flares on the Sun


Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation


Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity


Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image


Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality


Flash: Efficient Dynamic Routing for Offchain Networks


FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution


FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering


FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer


FlashMD: long-stride, universal prediction of molecular dynamics


FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs


FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training


FlashRNN: Optimizing Traditional RNNs on Modern Hardware


FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction


FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally


FlashSyn: Flash Loan Attack Synthesis via Counter Example Driven Approximation


FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding


FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation


Flat Metric Minimization with Applications in Generative Modeling


Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem


Flat Posterior Does Matter For Bayesian Model Averaging


Flat tori with large Laplacian eigenvalues in dimensions up to eight


Flat-sky Angular Power Spectra Revisited


FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning


FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements


FlatQuant: Flatness Matters for LLM Quantization


Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency


Flatness-aware Sequential Learning Generates Resilient Backdoors


Flatten Anything: Unsupervised Neural Surface Parameterization


Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning


Flattening Multiparameter Hierarchical Clustering Functors


Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning


Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis


Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models


Flavor isospin waves in one-dimensional axisymmetric neutrino gases


Flavoured jets with exact anti-$k_t$ kinematics and tests of infrared and collinear safety


FleXR: A System Enabling Flexibly Distributed Extended Reality


Fleet Control using Coregionalized Gaussian Process Policy Iteration


Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach


Fleet of Agents: Coordinated Problem Solving with Large Language Models


Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision


FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services


Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models


Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding


Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training


Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts


Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks


FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models


FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction


FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps


FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes


FlexDiT: Dynamic Token Density Control for Diffusion Transformer


FlexER: Flexible Entity Resolution for Multiple Intents


FlexEdit: Marrying Free-Shape Masks to VLLM for Flexible Image Editing


FlexFlood: Efficiently Updatable Learned Multi-dimensional Index


FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering


FlexLMM: a Nextflow linear mixed model framework for GWAS


FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors


FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap


FlexModel: A Framework for Interpretability of Distributed Large Language Models


FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning


FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference


FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation


FlexTOE: Flexible TCP Offload with Fine-Grained Parallelism


FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities


FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction


FlexWatts: A Power- and Workload-Aware Hybrid Power Delivery Network for Energy-Efficient Microprocessors


FlexiDreamer: Single Image-to-3D Generation with FlexiCubes


FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs


FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing


FlexiFilm: Long Video Generation with Flexible Conditions


FlexiTerm: A more efficient implementation of flexible multi-word term recognition


Flexibility in noisy cell-to-cell information dynamics


Flexibility of German gas-fired generation: evidence from clustering empirical operation


Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching


Flexible Alignment Super-Resolution Network for Multi-Contrast MRI


Flexible Antenna Arrays for Wireless Communications: Modeling and Performance Evaluation


Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning


Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors


Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures


Flexible Communication for Optimal Distributed Learning over Unpredictable Networks


Flexible Conformal Highest Predictive Conditional Density Sets


Flexible Control Flow Graph Alignment for Delivering Data-Driven Feedback to Novice Programming Learners


Flexible Counterfactual Explanations with Generative Models


Flexible Dataset Distillation: Learn Labels Instead of Images


Flexible Estimation of the Heterogeneous Non-Parametric Component in a Relative Survival Cure Model


Flexible FOND Planning with Explicit Fairness Assumptions


Flexible Generation of Natural Language Deductions


Flexible Group Fairness Metrics for Survival Analysis


Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks


Flexible Image Denoising with Multi-layer Conditional Feature Modulation


Flexible Instance-Specific Rationalization of NLP Models


Flexible Instruction-Set Semantics via Type Classes


Flexible Intelligent Metasurface-Aided Wireless Communications: Architecture and Performance


Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning


Flexible Mixed Precision Quantization for Learned Image Compression


Flexible Model Aggregation for Quantile Regression


Flexible Modeling of Diversity with Strongly Log-Concave Distributions


Flexible Modeling of Nonstationary Extremal Dependence using Spatially-Fused LASSO and Ridge Penalties


Flexible Models for Simple Longitudinal Data


Flexible Moment-Invariant Bases from Irreducible Tensors


Flexible Multi-Beam Synthesis and Directional Suppression Through Transmissive RIS


Flexible Multiple Testing with the FACT Algorithm


Flexible Networks for Learning Physical Dynamics of Deformable Objects


Flexible Phase Dynamics for Bio-Plausible Contrastive Learning


Flexible Precoding for Multi-User Movable Antenna Communications


Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement Learning


Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential Markets


Flexible SE(2) graph neural networks with applications to PDE surrogates


Flexible SVBRDF Capture with a Multi-Image Deep Network


Flexible Table Recognition and Semantic Interpretation System


Flexible Triggering Kernels for Hawkes Process Modeling


Flexible User Mapping for Radio Resource Assignment in Advanced Satellite Payloads


Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training


Flexible Vertical Federated Learning with Heterogeneous Parties


Flexible WMMSE Beamforming for MU-MIMO Movable Antenna Communications


Flexible and Adaptable Summarization via Expertise Separation


Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields


Flexible and Fast Estimation of Binary Merger Population Distributions with Adaptive KDE


Flexible and Probabilistic Topology Tracking with Partial Optimal Transport


Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations


Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I


Flexible and efficient emulation of spatial extremes processes via variational autoencoders


Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata


Flexible constrained sampling with guarantees for pattern mining


Flexible distribution-free conditional predictive bands using density estimators


Flexible evaluation of surrogacy in Bayesian adaptive platform studies


Flexible filament in time-periodic viscous flow: shape chaos and period three


Flexible framework for audio reconstruction


Flexible framework for generating synthetic electrocardiograms and photoplethysmograms


Flexible graph convolutional network for 3D human pose estimation


Flexible hierarchical risk modeling for large insurance data via NumPyro


Flexible inference in heterogeneous and attributed multilayer networks


Flexible joint models for multivariate longitudinal and time-to-event data using multivariate functional principal components


Flexible machine learning estimation of conditional average treatment effects: a blessing and a curse


Flexible marked spatio-temporal point processes with applications to event sequences from association football


Flexible mean field variational inference using mixtures of non-overlapping exponential families


Flexible parametrization of graph-theoretical features from individual-specific networks for prediction


Flexible rational approximation and its application for matrix functions


Flexible realizations existence: NP-completeness on sparse graphs and algorithms


Flexible remote attestation of pre-SNP SEV VMs using SGX enclaves


Flexible risk design using bi-directional dispersion


Flexible social inference facilitates targeted social learning when rewards are not observable


Flexible task abstractions emerge in linear networks with fast and bounded units


Flexible visual prompts for in-context learning in computer vision


Flexible, Non-parametric Modeling Using Regularized Neural Networks


Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit Allocation


Flexibly-Structured Model for Task-Oriented Dialogues


Flickr-PAD: New Face High-Resolution Presentation Attack Detection Database


Flight Contrail Segmentation via Augmented Transfer Learning with Novel SR Loss Function in Hough Space


Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning


FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control


FlightBench: Benchmarking Learning-based Methods for Ego-vision-based Quadrotors Navigation


FlightForge: Advancing UAV Research with Procedural Generation of High-Fidelity Simulation and Integrated Autonomy


FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models


Flightmare: A Flexible Quadrotor Simulator


FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding


Flip Graphs on Self-Complementary Ideals of Chain Products


Flip Graphs with Symmetry and New Matrix Multiplication Schemes


FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning


FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis


FlipReID: Closing the Gap between Training and Inference in Person Re-Identification


FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animations


Flipped Classroom: Effective Teaching for Time Series Forecasting


Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning


Flipping the switch on local exploration: Genetic Algorithms with Reversals


FloWaveNet : A Generative Flow for Raw Audio


Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training


Floating-Point Neural Networks Are Provably Robust Universal Approximators


Flock2: A model for orientation-based social flocking


Flock: A Low-Cost Streaming Query Engine on FaaS Platforms


Flocking-Segregative Swarming Behaviors using Gibbs Random Fields


FlooNoC: A 645 Gbps/link 0.15 pJ/B/hop Open-Source NoC with Wide Physical Links and End-to-End AXI4 Parallel Multi-Stream Support


Flood & Loot: A Systemic Attack On The Lightning Network


Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies


Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning


Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing Imagery


Floodgate: inference for model-free variable importance


Floodgates up to contain the DeePC and limit extrapolation


Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities


Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks


Floor-Plan-aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and Prototype


Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path


FloorSet -- a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs


Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction


Floquet interferometry of a dressed semiconductor quantum dot


Floquet theory and computational method for the optical absorption of laser-dressed solids


Floquet theory and stability for Hamiltonian partial differential equations


Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification


Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks


Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion


Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources


Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference


Flow Annealed Importance Sampling Bootstrap


Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics


Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information


Flow Matching based Sequential Recommender Model


Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels


Flow Matching for Collaborative Filtering


Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality


Flow Matching for Optimal Reaction Coordinates of Biomolecular System


Flow Matching for Posterior Inference with Simulator Feedback


Flow Matching for Scalable Simulation-Based Inference


Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation


Flow Plugin Network for conditional generation


Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching


Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception


Flow around topological defects in active nematic films


Flow in Porous Media with Fractures of Varying Aperture


Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples


Flow of gas detected from beyond the filaments to protostellar scales in Barnard 5


Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation


Flow stability for dynamic community detection


Flow-Based Generative Emulation of Grids of Stellar Evolutionary Models


Flow-Based Local Graph Clustering with Better Seed Set Inclusion


Flow-Bench: A Dataset for Computational Workflow Anomaly Detection


Flow-GRPO: Training Flow Matching Models via Online RL


Flow-Guided Feature Aggregation for Video Object Detection


Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization


Flow-Motion and Depth Network for Monocular Stereo and Beyond


Flow-based Distributionally Robust Optimization


Flow-based Domain Randomization for Learning and Sequencing Robotic Skills


Flow-based GAN for 3D Point Cloud Generation from a Single Image


Flow-based Generative Models for Learning Manifold to Manifold Mappings


Flow-based Kernel Prior with Application to Blind Super-Resolution


Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging


Flow-matching -- efficient coarse-graining of molecular dynamics without forces


Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options


Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching


Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation


Flow: Modularized Agentic Workflow Automation


FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching


FlowAgent: Achieving Compliance and Flexibility for Workflow Agents


FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing


FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning


FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models


FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking


FlowDNS: Correlating Netflow and DNS Streams at Scale


FlowDec: A flow-based full-band general audio codec with high perceptual quality


FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension


FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs


FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction


FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models


FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation


FlowFormer: A Transformer Architecture for Optical Flow


FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference


FlowGrad: Using Motion for Visual Sound Source Localization


FlowHON: Representing Flow Fields Using Higher-Order Networks


FlowIE: Efficient Image Enhancement via Rectified Flow


FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding


FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent


FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge


FlowNAS: Neural Architecture Search for Optical Flow Estimation


FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging


FlowPG: Action-constrained Policy Gradient with Normalizing Flows


FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation


FlowPure: Continuous Normalizing Flows for Adversarial Purification


FlowQA: Grasping Flow in History for Conversational Machine Comprehension


FlowReasoner: Reinforcing Query-Level Meta-Agents


FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow


FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching


FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System


FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing


FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow


FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation


FlowText: Synthesizing Realistic Scene Text Video with Optical Flow Estimation


FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems


FlowTune: End-to-end Automatic Logic Optimization Exploration via Domain-specific Multi-armed Bandit


FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner


FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework


FlowX: Towards Explainable Graph Neural Networks via Message Flows


FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer


Flowformer: Linearizing Transformers with Conservation Flows


Flowification: Everything is a Normalizing Flow


Flowing Datasets with Wasserstein over Wasserstein Gradient Flows


Flowless: Extracting Densest Subgraphs Without Flow Computations


Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach


Flows For The Masses: A multi-fluid non-linear perturbation theory for massive neutrinos


Flows Over Periodic Hills of Parameterized Geometries: A Dataset for Data-Driven Turbulence Modeling From Direct Simulations


Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation


Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis


FluSI: A novel parallel simulation tool for flapping insect flight using a Fourier method with volume penalization


FluTO: Graded Multiscale Fluid Topology Optimization using Neural Networks


Fluctuating Line-of-Sight Fading Distribution: Statistical Characterization and Applications


Fluctuation relations to calculate protein redox potentials from molecular dynamics simulations


Fluctuation-based Adaptive Structured Pruning for Large Language Models


Fluctuation-driven initialization for spiking neural network training


Fluctuations of Energy-Relaxation Times in Superconducting Qubits


Fluency-Guided Cross-Lingual Image Captioning


Fluent Response Generation for Conversational Question Answering


Fluent: An AI Augmented Writing Tool for People who Stutter


FluentEditor2: Text-based Speech Editing by Modeling Multi-Scale Acoustic and Prosody Consistency


Fluid Viscosity Prediction Leveraging Computer Vision and Robot Interaction


Fluid dynamics alters liquid-liquid phase separation in confined aqueous two-phase systems


Fluid flow through packings of elastic shells


Fluid registration between lung CT and stationary chest tomosynthesis images


Fluid velocity from transverse momentum spectra


Fluorescence Reference Target Quantitative Analysis Library


Fluorine patterning of graphene: Effects of fluorine content and temperature


FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation


Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion


Flute and kink instabilities in a dynamically twisted flux tube with anisotropic plasma viscosity


Flux Already Knows -- Activating Subject-Driven Image Generation without Training


Flux Calibration of CHIME/FRB Intensity Data


Flux-pulse-assisted Readout of a Fluxonium Qubit


FluxCT V2.0: Updates to a Web Tool Identifying Contaminating Flux in Space Telescope Data


FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification


FlySearch: Exploring how vision-language models explore


Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation


Flying Through a Narrow Gap Using End-to-end Deep Reinforcement Learning Augmented with Curriculum Learning and Sim2Real


Flying Unicorn: Developing a Game for a Quantum Computer


Flying through a narrow gap using neural network: an end-to-end planning and control approach


Flymation: Interactive Animation for Flying Robots


FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs


FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models


FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition


FoRA: Low-Rank Adaptation Model beyond Multimodal Siamese Network


FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks


FoSR: First-order spectral rewiring for addressing oversquashing in GNNs


FoSp: Focus and Separation Network for Early Smoke Segmentation


FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality


FoX: Formation-aware exploration in multi-agent reinforcement learning


Foam-Agent: Towards Automated Intelligent CFD Workflows


Foam: A Python package for forward asteroseismic modelling of gravity modes


Foam: A Tool for Spherical Approximation of Robot Geometry


FocSAM: Delving Deeply into Focused Objects in Segmenting Anything


Focal Frequency Loss for Image Reconstruction and Synthesis


Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Detection


Focal Length and Object Pose Estimation via Render and Compare


Focal Volume, Acoustic Radiation Force, and Strain in Two-Transducer Regimes


Focal and Global Knowledge Distillation for Detectors


Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation


FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images


Focaler-IoU: More Focused Intersection over Union Loss


Focus Agent: LLM-Powered Virtual Focus Group


Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification


Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology


Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading


Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition


Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation


Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation


Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning


Focus on defocus: bridging the synthetic to real domain gap for depth estimation


Focus on the Common Good: Group Distributional Robustness Follows


Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring


Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition


Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference


Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection


Focus topics for the ECFA study on Higgs / Top / EW factories


Focus! Rating XAI Methods and Finding Biases


Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval


Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge Bases


Focus-Constrained Attention Mechanism for CVAE-based Response Generation


Focus-Driven Contrastive Learniang for Medical Question Summarization


Focus-Enhanced Scene Text Recognition with Deformable Convolutions


FocusFace: Multi-task Contrastive Learning for Masked Face Recognition


FocusLLM: Precise Understanding of Long Context by Dynamic Condensing


FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series


FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology


FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders


FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention


FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images


FocusTrack: A Self-Adaptive Local Sampling Algorithm for Efficient Anti-UAV Tracking


FocusTune: Tuning Visual Localization through Focus-Guided Sampling


Focused Attention Improves Document-Grounded Generation


Focused Decoding Enables 3D Anatomical Detection by Transformers


Focused and Collaborative Feedback Integration for Interactive Image Segmentation


Focused fields of ultrashort radially-polarized laser pulses having low-order spatio-temporal couplings


FocusedAD: Character-centric Movie Audio Description


Focusing Viral Risk Ranking Tool on Prediction


Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies


Focusing on Potential Named Entities During Active Label Acquisition


Fodis: software for protein unfolding analysis


Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather


Fog on the horizon: a new definition of the neutrino floor for direct dark matter searches


FogGuard: guarding YOLO against fog using perceptual loss


FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2


FogROS: An Adaptive Framework for Automating Fog Robotics Deployment


Foiling Explanations in Deep Neural Networks


Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design


FoldMark: Protecting Protein Generative Models with Watermarking


Folded Polynomial Codes for Coded Distributed $AA^\top$-Type Matrix Multiplication


Folded Recurrent Neural Networks for Future Video Prediction


FoldedHexaTorus: An Inter-Chiplet Interconnect Topology for Chiplet-based Systems using Organic and Glass Substrates


Folding-Free ZNE: A Comprehensive Quantum Zero-Noise Extrapolation Approach for Mitigating Depolarizing and Decoherence Noise


Foldsformer: Learning Sequential Multi-Step Cloth Manipulation With Space-Time Attention


FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds


FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery


Follow Anything: Open-set detection, tracking, and following in real-time


Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems


Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems


Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains


Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control


Follow the Footprints: Self-supervised Traversability Estimation for Off-road Vehicle Navigation based on Geometric and Visual Cues


Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations


Follow the Mass -- A Concordance Picture of Tidal Disruption Events


Follow the Neurally-Perturbed Leader for Adversarial Training


Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback


Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models


Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order


Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding


Follow the bisector: a simple method for multi-objective optimization


Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification


Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts


Follow-up Attention: An Empirical Study of Developer and Neural Model Code Exploration


FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models


FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings


FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling


Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election


Following Closely: A Robust Monocular Person Following System for Mobile Robot


Following Is All You Need: Robot Crowd Navigation Using People As Planners


Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment


Following the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence


Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing


Following the Human Thread in Social Navigation


FonMTL: Towards Multitask Learning for the Fon Language


FonTS: Text Rendering with Typography and Style Controls


Font Completion and Manipulation by Cycling Between Multi-Modality Representations


Font Representation Learning via Paired-glyph Matching


Font Style that Fits an Image -- Font Generation Based on Image Context


FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications


FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning


FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge


Fonte: Finding Bug Inducing Commits from Failures


Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification


FooBaR: Fault Fooling Backdoor Attack on Neural Network Training


FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptions


Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment Analysis


Food Portion Estimation via 3D Object Scaling


Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data


Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models


FoodChem: A food-chemical relation extraction model


FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network


FoodTaxo: Generating Food Taxonomies with Large Language Models


FoodX-251: A Dataset for Fine-grained Food Classification


FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture


Fool Me Twice: Entailment from Wikipedia Gamification


Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations


Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors


Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints


Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods


Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks


Fooling Partial Dependence via Data Poisoning


Fooling the Image Dehazing Models by First Order Gradient


Foot-In-The-Door: A Multi-turn Jailbreak for LLMs


FootAndBall: Integrated player and ball detector


Footprints and Free Space from a Single Color Image


FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal Footstep Planning and Forecasting


For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI


For Generated Text, Is NLI-Neutral Text the Best Text?


For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria


For SALE: State-Action Representation Learning for Deep Reinforcement Learning


For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives


For the Thrill of it All: A bridge among Linux, Robot Operating System, Android and Unmanned Aerial Vehicles


For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network


ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation


ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis


ForSE+: Simulating non-Gaussian CMB foregrounds at 3 arcminutes in a stochastic way based on a generative adversarial network


ForSE: a GAN based algorithm for extending CMB foreground models to sub-degree angular scales


ForaNav: Insect-inspired Online Target-oriented Navigation for MAVs in Tree Plantations


Foragax: An Agent-Based Modelling Framework Based on JAX


Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme


Force Field Analysis Software and Tools (FFAST): Assessing Machine Learning Force Fields Under the Microscope


Force Push: Robust Single-Point Pushing with Force Feedback


Force myography benchmark data for hand gesture recognition and transfer learning


Force switching and potential shifting lead to significant cutoff dependence in alchemical free energies


Force, metric, or mass: Disambiguating causes of uniform gravity


Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution


Force-Directed Layout of Order Diagrams using Dimensional Reduction


Force-Driven Validation for Collaborative Robotics in Automated Avionics Testing


Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks


Force-Guided Bridge Matching for Full-Atom Time-Coarsened Dynamics of Peptides


Force-Limited Control of Wave Energy Converters using a Describing Function Linearization


Force-directed graph embedding with hops distance


Force/Torque Sensing for Soft Grippers using an External Camera


Force2Vec: Parallel force-directed graph embedding


ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals


Forced Measurement of Astronomical Sources at Low Signal to Noise


Forced Spatial Attention for Driver Foot Activity Classification


Forcer, a FORM program for the parametric reduction of four-loop massless propagator diagrams


Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations


Forecast dominance testing via sign randomization


Forecast of solar activity based on mean-field dynamo model and neural network


Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders


Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models


ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities


ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting


ForecastPFN: Synthetically-Trained Zero-Shot Forecasting


ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs


Forecasted Detection Limits on the (Dark) Matter Density in Supermassive Black Hole Binaries for LISA


Forecasted masses for seven thousand KOIs


Forecasting Age Distribution of Deaths: Cumulative Distribution Function Transformation


Forecasting Algorithms for Causal Inference with Panel Data


Forecasting Attacker Actions using Alert-driven Attack Graphs


Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models


Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach


Forecasting COVID-19 Pandemic in Mozambique and Estimating Possible Scenarios


Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks


Forecasting CPI inflation under economic policy and geopolitical uncertainties


Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs


Forecasting Crude Oil Prices Using Reservoir Computing Models


Forecasting Daily Primary Three-Hour Net Load Ramps in the CAISO System


Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT


Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge


Forecasting F(Q) cosmology with $Λ$CDM background using standard sirens


Forecasting Fertility with Parametric Mixture Models


Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling


Forecasting Future World Events with Neural Networks


Forecasting GPU Performance for Deep Learning Training and Inference


Forecasting Galaxy Cluster HI Mass Recovery with CHIME at Redshifts z = 1 and 2 via the IllustrisTNG Simulations


Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network


Forecasting Human Trajectory from Scene History


Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video


Forecasting Inter-Destination Tourism Flow via a Hybrid Deep Learning Model


Forecasting Internally Displaced Population Migration Patterns in Syria and Yemen


Forecasting Irregularly Sampled Time Series using Graphs


Forecasting Local Ionospheric Parameters Using Transformers


Forecasting Nonverbal Social Signals during Dyadic Interactions with Generative Adversarial Neural Networks


Forecasting Polarized Radio Sources for CMB observations


Forecasting Precipitable Water Vapor Using LSTMs


Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning


Forecasting Sequential Data using Consistent Koopman Autoencoders


Forecasting Soccer Matches through Distributions


Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization


Forecasting Super-Sample Covariance in Future Weak Lensing Surveys with SuperSCRAM


Forecasting Tropical Cyclones with Cascaded Diffusion Models


Forecasting UK Consumer Price Inflation with RaGNAR: Random Generalised Network Autoregressive Processes


Forecasting age distribution of life-table death counts via α-transformation


Forecasting and Granger Modelling with Non-linear Dynamical Dependencies


Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks


Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark


Forecasting density-valued functional panel data


Forecasting elections using compartmental models of infection


Forecasting formation of a Tropical Cyclone Using Reanalysis Data


Forecasting from LiDAR via Future Object Detection


Forecasting high-dimensional functional time series: Application to sub-national age-specific mortality


Forecasting high-impact research topics via machine learning on evolving knowledge graphs


Forecasting landslides using community detection on geophysical satellite data


Forecasting local hospital bed demand for COVID-19 using on-request simulations


Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!


Forecasting new diseases in low-data settings using transfer learning


Forecasting overhead distribution line failures using weather data and gradient-boosted location, scale, and shape models


Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process


Forecasting the Leading Indicator of a Recession: The 10-Year minus 3-Month Treasury Yield Spread


Forecasting the Price-Response of a Pool of Buildings via Homothetic Inverse Optimization


Forecasting the Remaining Duration of an Ongoing Solar Flare


Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations


Forecasting the power of Higher Order Weak Lensing Statistics with automatically differentiable simulations


Forecasting the presence and intensity of hostility on Instagram using linguistic and social features


Forecasting through deep learning and modal decomposition in two-phase concentric jets


Forecasting time series with constraints


Forecasting timelines of quantum computing


Forecasting trends in food security with real time data


Forecasting unemployment using Internet search data via PRISM


Forecasting with Deep Learning: Beyond Average of Average of Average Performance


Forecasting with panel data: Estimation uncertainty versus parameter heterogeneity


Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study


Forecasts and Statistical Insights for Line Intensity Mapping Cross-Correlations: A Case Study with 21cm x [CII]


Forecasts for cosmological measurements based on the angular power spectra of AGN and clusters of galaxies in the SRG/eROSITA all-sky survey


Forecasts on the Dark Matter Density Profiles of Dwarf Spheroidal Galaxies with Current and Future Kinematic Observations


Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers


Foreground Mismodeling and the Point Source Explanation of the Fermi Galactic Center Excess


Foreground Object Search by Distilling Composite Image Feature


Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding


Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization


Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation


Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation


Foreign Object Debris Detection for Airport Pavement Images based on Self-supervised Localization and Vision Transformer


Forensic Considerations for the High Efficiency Image File Format (HEIF)


Forensicability of Deep Neural Network Inference Pipelines


Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection


Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment


Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction


Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer


Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs


ForesightNav: Learning Scene Imagination for Efficient Exploration


Forest Fire Clustering for Single-cell Sequencing with Iterative Label Propagation and Parallelized Monte Carlo Simulation


Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation


Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation


Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models


Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning


Forest: Structural Code Editing with Multiple Cursors


ForestFlow: predicting the Lyman-$α$ forest clustering from linear to nonlinear scales


ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images


ForestProtector: An IoT Architecture Integrating Machine Vision and Deep Reinforcement Learning for Efficient Wildfire Monitoring


ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue


ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS Tools


Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images


ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection


Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension


Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish


Forget Partitions: Cluster Synchronization in Directed Networks Generate Hierarchies


Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification


Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon


Forget the Data and Fine-Tuning! Just Fold the Network to Compress


Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models


Forget-me-block: Exploring digital preservation strategies using Distributed Ledger Technology in the context of personal information management


Forgettable Federated Linear Learning with Certified Data Unlearning


Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning


Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-context Models


Forgetting Transformer: Softmax Attention with a Forget Gate


Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment


Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning


Forgetting-aware Linear Bias for Attentive Knowledge Tracing


Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning


Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities


Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image


Forging quantum data: classically defeating an IQP-based quantum test


Forgotten Polygons: Multimodal Large Language Models are Shape-Blind


ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning


Forking Around: Correlation of forking practices with the success of a project


Forklens: Accurate weak-lensing shear measurement with deep learning


Form-NLU: Dataset for the Form Natural Language Understanding


Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly


Form2Seq : A Framework for Higher-Order Form Structure Extraction


FormTracer - A Mathematica Tracing Package Using FORM


Formal Abstractions for Packet Scheduling


Formal Adventures in Convex and Conical Spaces


Formal Analysis of Composable DeFi Protocols


Formal Conceptual Views in Neural Networks


Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL


Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems


Formal Development of Safe Automated Driving using Differential Dynamic Logic


Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates


Formal Language Constraints for Markov Decision Processes


Formal Mathematics Statement Curriculum Learning


Formal Security Analysis of the AMD SEV-SNP Software Interface


Formal Synthesis of Uncertainty Reduction Controllers


Formal Verification of Flow Equivalence in Desynchronized Designs


Formal Verification of Linear Temporal Logic Specifications Using Hybrid Zonotope-Based Reachability Analysis


Formal Verification of Markov Processes with Learned Parameters


Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks


Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression


Formal Verification of the Ethereum 2.0 Beacon Chain


Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum


Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation


Formal verification in Solidity and Move: insights from a comparative analysis


Formal verification of Zagier's one-sentence proof


Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents


FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models


FormalSpecCpp: A Dataset of C++ Formal Specifications created using LLMs


Formalising Real Numbers in Homotopy Type Theory


Formalising Yoneda Ext in Univalent Foundations


Formalising the Local Compactness of the Adele Ring


Formalising the Robustness of Counterfactual Explanations for Neural Networks


Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge


Formalization of Automated Trading Systems in a Concurrent Linear Framework


Formalization of PAL$\cdot$S5 in Proof Assistant


Formalization of the Axiom of Choice and its Equivalent Theorems


Formalization of the Filter Extension Principle (FEP) in Coq


Formalization of the pumping lemma for context-free languages


Formalized Class Group Computations and Integral Points on Mordell Elliptic Curves


Formalized linear algebra over Elementary Divisor Rings in Coq


Formalizing Complex Mathematical Statements with LLMs: A Study on Mathematical Definitions


Formalizing Distribution Inference Risks


Formalizing Mason-Stothers Theorem and its Corollaries in Lean 4


Formalizing Mathematical Knowledge as a Biform Theory Graph: A Case Study


Formalizing Nakamoto-Style Proof of Stake


Formalizing Norm Extensions and Applications to Number Theory


Formalizing Piecewise Affine Activation Functions of Neural Networks in Coq


Formalizing Preferences Over Runtime Distributions


Formalizing Representation Theorems for a Logical Framework with Rewriting


Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic


Formalizing computability theory via partial recursive functions


Formalizing the Execution Context of Behavior Trees for Runtime Verification of Deliberative Policies


Formalizing the Ring of Adèles of a Global Field


Formalizing the causal interpretation in accelerated failure time models with unmeasured heterogeneity


Formalizing, Verifying and Applying ISA Security Guarantees as Universal Contracts


Formally Proving Invariant Systemic Properties of Control Programs Using Ghost Code and Integral Quadratic Constraints


Formally Verified Samplers From Probabilistic Programs With Loops and Conditioning


Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates


Formant Estimation and Tracking using Probabilistic Heat-Maps


FormatFuzzer: Effective Fuzzing of Binary File Formats


Formation and Reconfiguration of Tight Multi-Lane Platoons


Formation of Stripped Stars From Stellar Collisions in Galactic Nuclei


Formation of carbon-enhanced metal-poor stars as a consequence of inhomogeneous metal mixing


Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance


Formation of super-Mercuries via giant impacts