FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network


FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules


FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs


FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction


FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis


FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework


FICA: Faster Inner Convex Approximation of Chance Constrained Grid Dispatch with Decision-Coupled Uncertainty


FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion


FIDAVL: Fake Image Detection and Attribution using Vision-Language Model


FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation


FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding


FIDO2 the Rescue? Platform vs. Roaming Authentication on Smartphones


FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras


FIESTA II. Disentangling stellar and instrumental variability from exoplanetary Doppler shifts in Fourier domain


FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms


FIFO-Diffusion: Generating Infinite Videos from Text without Training


FIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering


FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings


FILM: Following Instructions in Language with Modular Methods


FILO: FIx-LOcus Recommendation for Problems Caused by Android Framework Upgrade


FILTRA: Rethinking Steerable CNN by Filter Transform


FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation


FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks


FIMO: A Challenge Formal Dataset for Automated Theorem Proving


FIND: A Function Description Benchmark for Evaluating Interpretability Methods


FIND: An Unsupervised Implicit 3D Model of Articulated Human Feet


FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models


FINE Samples for Learning with Noisy Labels


FINED: Fast Inference Network for Edge Detection


FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis


FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving


FINJ: A Fault Injection Tool for HPC Systems


FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs


FINNger -- Applying artificial intelligence to ease math learning for children


FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection


FINT: Field-aware INTeraction Neural Network For CTR Prediction


FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema


FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving


FIRE 6.5: Feynman Integral Reduction with New Simplification Library


FIRE: An Optimization Approach for Fast Interpretable Rule Extraction


FIRE: Fact-checking with Iterative Retrieval and Verification


FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error


FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information


FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests


FIRM: Flexible Interactive Reflection reMoval


FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation


FIRe-GAN: A novel Deep Learning-based infrared-visible fusion method for wildfire imagery


FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals


FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based Clustering for Arbitrary Data and Distance


FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection


FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss


FISTA Iterates Converge Linearly for Denoiser-Driven Regularization


FIT-GNN: Faster Inference Time for GNNs Using Coarsening


FIVB ranking: Misstep in the right direction


FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document


FKAConv: Feature-Kernel Alignment for Point Cloud Convolution


FL-Defender: Combating Targeted Attacks in Federated Learning


FL-Market: Trading Private Models in Federated Learning


FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients


FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer


FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective


FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations


FLACOCO: Fault Localization for Java based on Industry-grade Coverage


FLAD: Adaptive Federated Learning for DDoS Attack Detection


FLAG: Financial Long Document Classification via AMR-based GNN


FLAIM: AIM-based Synthetic Data Generation in the Federated Setting


FLAIR #1: semantic segmentation and domain adaptation dataset


FLAIR: VLM with Fine-grained Language-informed Image Representations


FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion


FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models


FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation


FLAME: Financial Large-Language Model Assessment and Metrics Evaluation


FLAME: Free-form Language-based Motion Synthesis & Editing


FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training


FLAME: Learning to Navigate with Multimodal LLM in Urban Environments


FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models


FLAMO: An Open-Source Library for Frequency-Domain Differentiable Audio Processing


FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging


FLARES IX: The Physical Mechanisms Driving Compact Galaxy Formation and Evolution


FLARe: Forecasting by Learning Anticipated Representations


FLASC: A Flare-Sensitive Clustering Algorithm


FLASH 1.0: A Software Framework for Rapid Parallel Deployment and Enhancing Host Code Portability in Heterogeneous Computing


FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning


FLASH: Fast Bayesian Optimization for Data Analytic Pipelines


FLASH: Latent-Aware Semi-Autoregressive Speculative Decoding for Multimodal Tasks


FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets


FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression


FLAT: Chinese NER Using Flat-Lattice Transformer


FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation


FLD+: Data-efficient Evaluation Metric for Generative Models


FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients


FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows


FLEKE: Federated Locate-then-Edit Knowledge Editing


FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model


FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models


FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark


FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction


FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning


FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems


FLEXITOKENS: Flexible Tokenization for Evolving Language Models


FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats


FLEXtime: Filterbank learning to explain time series


FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models


FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement


FLIM-based Salient Object Detection Networks with Adaptive Decoders


FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning


FLIP: Cross-domain Face Anti-spoofing with Language Guidance


FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction


FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning


FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution


FLNeRF: 3D Facial Landmarks Estimation in Neural Radiance Fields


FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing


FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2


FLOL: Fast Baselines for Real-World Low-Light Enhancement


FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer


FLORIDA: Fake-looking Real Images Dataset


FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation


FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows


FLOWViZ: Framework for Phylogenetic Processing


FLP-XR: Future Location Prediction on Extreme Scale Maritime Data in Real-time


FLStore: Efficient Federated Learning Storage for non-training workloads


FLTracer: Accurate Poisoning Attack Provenance in Federated Learning


FLUID: A Common Model for Semantic Structural Graph Summaries Based on Equivalence Relations


FLUTE: Figurative Language Understanding through Textual Explanations


FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images


FL_PyTorch: optimization research simulator for federated learning


FLaPS: Federated Learning and Privately Scaling


FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings


FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score


FLatten Transformer: Vision Transformer using Focused Linear Attention


FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks


FLoCoRA: Federated learning compression with low-rank adaptation


FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning


FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations


FLoRA: Low-Rank Core Space for N-dimension


FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions


FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy


FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning


FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout


FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision


FM-Indexing Grammars Induced by Suffix Sorting for Long Patterns


FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks


FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation


FM-TS: Flow Matching for Time Series Generation


FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering


FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image Denoising


FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation Models


FMDLlama: Financial Misinformation Detection based on Large Language Models


FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection


FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation


FMI-TAL: Few-shot Multiple Instances Temporal Action Localization by Probability Distribution Learning and Interval Cluster Refinement


FMI: Fast and Cheap Message Passing for Serverless Functions


FMO-LC-TDDFTB method for excited states of large molecular assemblies in the strong light-matter coupling regime


FMODetect: Robust Detection of Fast Moving Objects


FMViz: Visualizing Tests Generated by AFL at the Byte-level


FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model


FMtree: A fast locating algorithm of FM-indexes for genomic data


FNBench: Benchmarking Robust Federated Learning against Noisy Labels


FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients


FNSE-SBGAN: Far-field Speech Enhancement with Schrodinger Bridge and Generative Adversarial Networks


FNSPID: A Comprehensive Financial News Dataset in Time Series


FNeVR: Neural Volume Rendering for Face Animation


FOAA: Flattened Outer Arithmetic Attention For Multimodal Tumor Classification


FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation


FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space


FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts


FOCUS - Multi-View Foot Reconstruction From Synthetically Trained Dense Correspondences


FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models


FOCUS: Familiar Objects in Common and Uncommon Settings


FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles


FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification


FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep model


FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability


FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data


FOLIO: Natural Language Reasoning with First-Order Logic


FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection


FOPPA: An Open Database of French Public Procurement Award Notices From 2010--2020


FORA: Fast-Forward Caching in Diffusion Transformer Acceleration


FORAY: Towards Effective Attack Synthesis against Deep Logical Vulnerabilities in DeFi Protocols


FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding


FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing


FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting


FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization


FORFIS: A forest fire firefighting simulation tool for education and research


FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction


FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning


FORLORN: A Framework for Comparing Offline Methods and Reinforcement Learning for Optimization of RAN Parameters


FORQ-based Language Inclusion Formal Testing


FORWARD: Feasibility Oriented Random-Walk Inspired Algorithm for Radial Reconfiguration in Distribution Networks


FOS: A Modular FPGA Operating System for Dynamic Workloads


FOSI: Hybrid First and Second Order Optimization


FOSTER: Feature Boosting and Compression for Class-Incremental Learning


FOTS: A Fast Optical Tactile Simulator for Sim2Real Learning of Tactile-motor Robot Manipulation Skills


FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic Data


FOVEA: Foveated Image Magnification for Autonomous Navigation


FOX-NAS: Fast, On-device and Explainable Neural Architecture Search


FOX: Coverage-guided Fuzzing as Online Stochastic Control


FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild


FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation


FP4 All the Way: Fully Quantized Training of LLMs


FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers


FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks


FP8 Quantization: The Power of the Exponent


FP8-LM: Training FP8 Large Language Models


FPB: Feature Pyramid Branch for Person Re-Identification


FPConv: Learning Local Flattening for Point Convolution


FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks


FPGA Based Emulation Environment for Neuromorphic Architectures


FPGA Implementation of Convolutional Neural Network for Real-Time Handwriting Recognition


FPGA Implementation of OTFS Modulation for 6G Communication Systems


FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul ?


FPGA Technology Mapping Using Sketch-Guided Program Synthesis


FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications


FPGA-Controlled Versatile Microwave Source for Cold Atom Experiments


FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review


FPGA-accelerated machine learning inference as a service for particle physics computing


FPGA-extended General Purpose Computer Architecture


FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification


FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data


FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation


FPM-INR: Fourier ptychographic microscopy image stack reconstruction using implicit neural representations


FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees


FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework


FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design


FPR Estimation for Fraud Detection in the Presence of Class-Conditional Label Noise


FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation


FPT: Feature Prompt Tuning for Few-shot Readability Assessment


FPT: Improving Prompt Tuning Efficiency via Progressive Training


FPT: a Fixed-Point Accelerator for Torus Fully Homomorphic Encryption


FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features


FPsPIN: An FPGA-based Open-Hardware Research Platform for Processing in the Network


FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer


FQDet: Fast-converging Query-based Detector


FQsun: A Configurable Wave Function-Based Quantum Emulator for Power-Efficient Quantum Simulations


FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search


FR-Train: A Mutual Information-Based Approach to Fair and Robust Training


FR: Folded Rationalization with a Unified Encoder


FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding


FRAG: Frequency Adapting Group for Diffusion Video Editing


FRAKE: Fusional Real-time Automatic Keyword Extraction


FRAPPE: $\underline{\text{F}}$ast $\underline{\text{Ra}}$nk $\underline{\text{App}}$roximation with $\underline{\text{E}}$xplainable Features for Tensors


FRASA: An End-to-End Reinforcement Learning Agent for Fall Recovery and Stand Up of Humanoid Robots


FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation


FRB Line-of-sight Ionization Measurement From Lightcone AAOmega Mapping Survey: the First Data Release


FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data


FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering


FREDA: Flexible Relation Extraction Data Annotation


FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding


FREDSum: A Dialogue Summarization Corpus for French Political Debates


FREE: Faster and Better Data-Free Meta-Learning


FREE: Feature Refinement for Generalized Zero-Shot Learning


FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction


FREESS: An Educational Simulator of a RISC-V-Inspired Superscalar Processor Based on Tomasulo's Algorithm


FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features


FREIGHT: Fast Streaming Hypergraph Partitioning


FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation


FRESHR-GSI: A Generalized Safety Model and Evaluation Framework for Mobile Robots in Multi-Human Environments


FRET$-$Calc: A Free Software and Web Server for Förster Resonance Energy Transfer Calculation


FREYR: A Framework for Recognizing and Executing Your Requests


FREmu: Power Spectrum Emulator for $f(R)$ Gravity


FRIDAY: Real-time Learning DNN-based Stable LQR controller for Nonlinear Systems under Uncertain Disturbances


FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks


FRILL: A Non-Semantic Speech Embedding for Mobile Devices


FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


FROC: Building Fair ROC from a Trained Classifier


FRODO: A novel approach to micro-macro multilevel regression


FROG: A new people detection dataset for knee-high 2D range finders


FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition


FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching Reversal


FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task


FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training


FRUGAL: Unlocking SSL for Software Analytics


FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification


FRaGenLP: A Generator of Random Linear Programming Problems for Cluster Computing Systems


FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models


FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric


FRoundation: Are Foundation Models Ready for Face Recognition?


FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification


FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context


FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow


FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models


FS6D: Few-Shot 6D Pose Estimation of Novel Objects


FSATFusion: Frequency-Spatial Attention Transformer for Infrared and Visible Image Fusion


FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images


FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection


FSD: An Initial Chinese Dataset for Fake Song Detection


FSDEM: Feature Selection Dynamic Evaluation Metric


FSDR: Frequency Space Domain Randomization for Domain Generalization


FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images


FSGAN: Subject Agnostic Face Swapping and Reenactment


FSH3D: 3D Representation via Fibonacci Spherical Harmonics


FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation


FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation


FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain


FSOCO: The Formula Student Objects in Context Dataset


FSOINet: Feature-Space Optimization-Inspired Network for Image Compressive Sensing


FSPGD: Rethinking Black-box Attacks on Semantic Segmentation


FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors


FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation


FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images


FST Morphology for the Endangered Skolt Sami Language


FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks


FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction


FSVPy: A Python-based Package for Fluorescent Streak Velocimetry (FSV)


FS^3: A Sampling based method for top-k Frequent Subgraph Mining


FT K-means: A High-Performance K-means on GPU with Fault Tolerance


FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection


FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis


FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation


FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond


FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning


FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics


FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image Insertion


FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks


FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning


FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks


FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling


FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture


FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net


FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems


FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing


FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data


FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels


FUNKI: Interactive functional footprint-based analysis of omics data


FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning


FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers


FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion


FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version)


FUSELOC: Fusing Global and Local Descriptors to Disambiguate 2D-3D Matching in Visual Localization


FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding


FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding


FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation


FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference


FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving


FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware


FVQ: A Large-Scale Dataset and A LMM-based Method for Face Video Quality Assessment


FViT: A Focal Vision Transformer with Gabor Filter


FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization


FWD: Real-time Novel View Synthesis with Forward Warping and Depth


FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs


FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain


FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation


FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization


FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference


FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing


FaVoR: Features via Voxel Rendering for Camera Relocalization


FaaF: Facts as a Function for the evaluation of generated text


FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing


FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute


FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy


FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets


Fabrication-Aware Reverse Engineering for Carpentry


Fabrication-Directed Entanglement for Designing Chiral and Anisotropic Metamaterial Foams


Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs


FabuLight-ASD: Unveiling Speech Activity via Body Language


FacaDiffy: Inpainting Unseen Facade Parts Using Diffusion Models


Face Animation with an Attribute-Guided Diffusion Model


Face Clustering via Early Stopping and Edge Recall


Face De-Spoofing: Anti-Spoofing via Noise Modeling


Face Forgery Detection with Elaborate Backbone


Face Hallucination via Split-Attention in Split-Attention Network


Face Images as Jigsaw Puzzles: Compositional Perception of Human Faces for Machines Using Generative Adversarial Networks


Face Inverse Rendering via Hierarchical Decoupling


Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs


Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments


Face Manifold: Manifold Learning for Synthetic Face Generation


Face Mask Removal with Region-attentive Face Inpainting


Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models


Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics


Face Recognition In Children: A Longitudinal Study


Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning


Face Reconstruction Transfer Attack as Out-of-Distribution Generalization


Face Reconstruction with Variational Autoencoder and Face Masks


Face Relighting with Geometrically Consistent Shadows


Face Sketch Synthesis with Style Transfer using Pyramid Column Feature


Face Spoofing Detection using Deep Learning


Face Super-Resolution Using Stochastic Differential Equations


Face Swapping as A Simple Arithmetic Operation


Face Synthesis for Eyeglass-Robust Face Recognition


Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs


Face Verification with Challenging Imposters and Diversified Demographics


Face recognition via compact second order image gradient orientations


Face shape classification using Inception v3


Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic Settings


Face-Cap: Image Captioning using Facial Expression Analysis


Face-MagNet: Magnifying Feature Maps to Detect Small Faces


Face-MakeUp: Multimodal Facial Prompts for Text-to-Image Generation


Face-Voice Association for Audiovisual Active Speaker Detection in Egocentric Recordings


Face.evoLVe: A High-Performance Face Recognition Library


Face2Diffusion for Fast and Editable Face Personalization


Face: Fast, Accurate and Context-Aware Audio Annotation and Classification


FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs


FaceChat: An Emotion-Aware Face-to-face Dialogue Framework


FaceCloak: Learning to Protect Face Templates


FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance


FaceCoresetNet: Differentiable Coresets for Face Set Recognition


FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping


FaceDiffuser: Speech-Driven 3D Facial Animation Synthesis Using Diffusion


FaceEraser: Removing Facial Parts for Augmented Reality


FaceFormer: Speech-Driven 3D Facial Animation with Transformers


FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset


FaceMap: Towards Unsupervised Face Clustering via Map Equation


FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction


FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration


FaceScore: Benchmarking and Enhancing Face Quality in Human Generation


FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes


FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset


FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations


FaceXHuBERT: Text-less Speech-driven E(X)pressive 3D Facial Animation Synthesis Using Self-Supervised Speech Representation Learning


Faceptor: A Generalist Model for Face Perception


Faces of the Mind: Unveiling Mental Health States Through Facial Expressions in 11,427 Adolescents


Facet-Aware Evaluation for Extractive Summarization


FacetClumps: A Facet-based Molecular Clump Detection Algorithm


Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning


Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample


Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution


Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges


Facial Affective Behavior Analysis with Instruction Tuning


Facial Age Estimation using Convolutional Neural Networks


Facial Appearance Capture at Home with Patch-Level Reflectance Prior


Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness


Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique


Facial Emotion Recognition with Noisy Multi-task Annotations


Facial Emotion Recognition: A multi-task approach using deep learning


Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning


Facial Expression Translation using Landmark Guided GANs


Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks


Facial Landmark Predictions with Applications to Metaverse


Facial Prior Based First Order Motion Model for Micro-expression Generation


Facial Video-based Remote Physiological Measurement via Self-supervised Learning


Facial Wrinkle Segmentation for Cosmetic Dermatology: Pretraining with Texture Map-Based Weak Supervision


Facial reduction for exact polynomial sum of squares decompositions


FacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model


FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces


FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks


Facies Classification with Copula Entropy


Facilitated machine learning for image-based fruit quality assessment


Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance


Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation


Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks


Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes


Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender Systems


Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach


Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning


Facilitating Terminology Translation with Target Lemma Annotations


Facilitating bootstrapped and rarefaction-based microbiome diversity analysis with q2-boots


Facilitating large language model Russian adaptation with Learned Embedding Propagation


Facilitating phenotyping from clinical texts: the medkit library


Facilitating the Communication of Politeness through Fine-Grained Paraphrasing


Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture


Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs


Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?


Facing the Void: Overcoming Missing Data in Multi-View Imagery


Facke: a Survey on Generative Models for Face Swapping


Fact Checking with Insufficient Evidence


Fact Discovery from Knowledge Base via Facet Decomposition


Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs


Fact Probability Vector Based Goal Recognition


Fact or Factitious? Contextualized Opinion Spam Detection


Fact sheet: Automatic Self-Reported Personality Recognition Track


Fact-Checking Meets Fauxtography: Verifying Claims About Images


Fact-Level Confidence Calibration and Self-Correction


Fact-Preserved Personalized News Headline Generation


Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning


Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems


Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models


Fact-checking information from large language models can decrease headline discernment


Fact-driven Logical Reasoning for Machine Reading Comprehension


Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT


Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries


FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data


FactCHD: Benchmarking Fact-Conflicting Hallucination Detection


FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning


FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs


FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction


FactKG: Fact Verification via Reasoning on Knowledge Graphs


FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition


FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization


FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence


Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers


Factify 2: A Multimodal Fake News and Satire News Dataset


FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pretraining


Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression


Factor Augmented Tensor-on-Tensor Neural Networks


Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices


Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station


Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing


Factor Graph-based Interpretable Neural Networks


Factor modelling for high-dimensional functional time series


Factor multivariate stochastic volatility models of high dimension


Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions


FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models


Factored Verification: Detecting and Reducing Hallucination in Summaries of Academic Papers


Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation


Factoring 2048-bit RSA Integers in 177 Days with 13436 Qubits and a Multimode Memory


Factoring semi-primes with (quantum) SAT-solvers


Factoring with n+2 clean qubits and n-1 dirty qubits


Factorised spatial representation learning: application in semi-supervised myocardial segmentation


Factorising Meaning and Form for Intent-Preserving Paraphrasing


Factorizable Graph Convolutional Networks


Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation


Factorization Bandits for Online Influence Maximization


Factorization Machines with Regularization for Sparse Feature Interactions


Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost


Factorized Bilinear Models for Image Recognition


Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series


Factorized Contrastive Learning: Going Beyond Multi-view Redundancy


Factorized Discriminant Analysis for Genetic Signatures of Neuronal Phenotypes


Factorized Fusion Shrinkage for Dynamic Relational Data


Factorized Gaussian Process Variational Autoencoders


Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation


Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses


Factorizing Knowledge in Neural Networks


Factorizing the Brauer monoid in polynomial time


Factors affecting power in stepped wedge trials when the treatment effect varies with time


Factors determining maximum energy consumption of Bitcoin miners


Factors of Influence of the Overestimation Bias of Q-Learning


Facts2Story: Controlling Text Generation by Key Facts


Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators


Factual Consistency of Multilingual Pretrained Language Models


Factual Probing Is [MASK]: Learning vs. Learning to Recall


Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation


Factuality Checking in News Headlines with Eye Tracking


Fader Networks: Manipulating Images by Sliding Attributes


FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis


FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee


FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms


FaiRR: Faithful and Robust Deductive Reasoning over Natural Language


Fail-Safe Adversarial Generative Imitation Learning


Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring


Failed supernova explosions increase the duration of star formation in globular clusters


Failing Conceptually: Concept-Based Explanations of Dataset Shift


Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift


Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot


Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed


Failure Identification from Unstable Log Data using Deep Learning


Failure Modes of LLMs for Causal Reasoning on Narratives


Failure of Bott vanishing for (co)adjoint partial flag varieties


Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks


Failure-Resilient Coverage Maximization with Multiple Robots


FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes


Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models


Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation


Failures in Perspective-taking of Multimodal AI Systems


Failures of Gradient-Based Deep Learning


Fair Abstractive Summarization of Diverse Perspectives


Fair Allocation based on Diminishing Differences


Fair Attribute Classification through Latent Space De-biasing


Fair Attribute Completion on Graph with Missing Attributes


Fair Augmentation for Graph Collaborative Filtering


Fair Bayes-Optimal Classifiers Under Predictive Parity


Fair Best Arm Identification with Fixed Confidence


Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium


Fair Center Clustering in Sliding Windows


Fair Classification with Adversarial Perturbations


Fair Classification with Group-Dependent Label Noise


Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach


Fair Comparison between Efficient Attentions


Fair Conformal Predictors for Applications in Medical Imaging


Fair Contrastive Learning for Facial Attribute Classification


Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search


Fair Data Representation for Machine Learning at the Pareto Frontier


Fair Decisions Despite Imperfect Predictions


Fair Densities via Boosting the Sufficient Statistics of Exponential Families


Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness


Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings


Fair Enough: Searching for Sufficient Measures of Fairness


Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP


Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions


Fair Generative Modeling via Weak Supervision


Fair Generative Models via Transfer Learning


Fair Graph Representation Learning via Sensitive Attribute Disentanglement


Fair In-Context Learning via Latent Concept Variables


Fair Learning with Private Demographic Data


Fair Machine Unlearning: Data Removal while Mitigating Disparities


Fair NLP Models with Differentially Private Text Encoders


Fair Near Neighbor Search: Independent Range Sampling in High Dimensions


Fair Pairs: Fairness-Aware Ranking Recovery from Pairwise Comparisons


Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness


Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline


Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking


Fair Ranking with Noisy Protected Attributes


Fair Reciprocal Recommendation in Matching Markets


Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach


Fair Regression for Health Care Spending


Fair Representation Learning for Heterogeneous Information Networks


Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks


Fair Resource Allocation in Multi-Task Learning


Fair Sampling in Diffusion Models through Switching Mechanism


Fair Schedules for Single Round Robin Tournaments with Ranked Participants


Fair Sequential Selection Using Supervised Learning Models


Fair Stable Matching Meets Correlated Preferences


Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint


Fair Summarization: Bridging Quality and Diversity in Extractive Summaries


Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes


Fair Text Classification with Wasserstein Independence


Fair Tree Classifier using Strong Demographic Parity


Fair Voting Outcomes with Impact and Novelty Compromises? Unraveling Biases in Electing Participatory Budgeting Winners


Fair and Argumentative Language Modeling for Computational Argumentation


Fair and Efficient Allocations under Lexicographic Preferences


Fair and Representative Subset Selection from Data Streams


Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning


Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty


Fair comparisons of causal parameters with many treatments and positivity violations


Fair integer programming under dichotomous and cardinal preferences


Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor


Fair multilingual vandalism detection system for Wikipedia


Fair yet Asymptotically Equal Collaborative Learning


Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor


Fair-OBNC: Correcting Label Noise for Fairer Datasets


Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity


Fair-SSL: Building fair ML Software with less data


FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret


FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification


FairAdapter: Detecting AI-generated Images with Improved Fairness


FairBalance: How to Achieve Equalized Odds With Data Pre-processing


FairBatch: Batch Selection for Model Fairness


FairCLIP: Harnessing Fairness in Vision-Language Learning


FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods


FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning


FairDiff: Fair Segmentation with Point-Image Diffusion


FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation


FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning


FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms


FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification


FairEM360: A Suite for Responsible Entity Matching


FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction


FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP


FairFlow: Mitigating Dataset Biases through Undecided Learning


FairFoody: Bringing in Fairness in Food Delivery


FairGLVQ: Fairness in Partition-Based Classification


FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning


FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification


FairGT: A Fairness-aware Graph Transformer


FairGridSearch: A Framework to Compare Fairness-Enhancing Models


FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation


FairJob: A Real-World Dataset for Fairness in Online Systems


FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing


FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning


FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models


FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons


FairOD: Fairness-aware Outlier Detection


FairPFN: A Tabular Foundation Model for Causal Fairness


FairPIVARA: Reducing and Assessing Biases in CLIP-Based Multimodal Models


FairProof : Confidential and Certifiable Fairness for Neural Networks


FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models


FairQ: Fair and Fast Rate Allocation in Data Centers


FairRR: Pre-Processing for Group Fairness through Randomized Response


FairRec: Fairness Testing for Deep Recommender Systems


FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation


FairSSD: Understanding Bias in Synthetic Speech Detectors


FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling


FairSense: Long-Term Fairness Analysis of ML-Enabled Systems


FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning Agents


FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval


FairTP: A Prolonged Fairness Framework for Traffic Prediction


FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification


FairTalk: Facilitating Balanced Participation in Video Conferencing by Implicit Visualization of Predicted Turn-Grabbing Intention


FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity


FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis


FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning


FairViT: Fair Vision Transformer via Adaptive Masking


FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning


FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability


FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge


Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments


Fairify: Fairness Verification of Neural Networks


Fairly Constricted Multi-Objective Particle Swarm Optimization


Fairly Extreme: Minimizing Outages Equitably


Fairly Random: The Impact of Winning the Toss on the Probability of Winning


Fairmandering: A column generation heuristic for fairness-optimized political districting


Fairness Auditing with Multi-Agent Collaboration


Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth


Fairness Evaluation in Presence of Biased Noisy Labels


Fairness Explainability using Optimal Transport with Applications in Image Classification


Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening


Fairness Properties of Face Recognition and Obfuscation Systems


Fairness Through Controlled (Un)Awareness in Node Embeddings


Fairness Through Counterfactual Utilities


Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning


Fairness Transferability Subject to Bounded Distribution Shift


Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognition


Fairness Under Demographic Scarce Regime


Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data


Fairness Without Demographics in Repeated Loss Minimization


Fairness Without Harm: An Influence-Guided Active Sampling Approach


Fairness and Accuracy under Domain Generalization


Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations


Fairness and Privacy in Federated Learning and Their Implications in Healthcare


Fairness and Privacy-Preserving in Federated Learning: A Survey


Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification


Fairness and Sum-Rate Maximization via Joint Channel and Power Allocation in Uplink SCMA Networks


Fairness and Unfairness in Binary and Multiclass Classification: Quantifying, Calculating, and Bounding


Fairness and bias correction in machine learning for depression prediction: results from four study populations


Fairness and/or Privacy on Social Graphs


Fairness guarantee in multi-class classification


Fairness in Credit Scoring: Assessment, Implementation and Profit Implications


Fairness in Face Presentation Attack Detection


Fairness in Forecasting of Observations of Linear Dynamical Systems


Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing


Fairness in Multi-Task Learning via Wasserstein Barycenters


Fairness in Ranking: Robustness through Randomization without the Protected Attribute


Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches


Fairness in Recommender Systems: Research Landscape and Future Directions


Fairness in Social Influence Maximization via Optimal Transport


Fairness in Survival Analysis with Distributionally Robust Optimization


Fairness is in the details : Face Dataset Auditing


Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics


Fairness of ChatGPT and the Role Of Explainable-Guided Prompts


Fairness of Exposure in Light of Incomplete Exposure Estimation


Fairness of Exposure in Online Restless Multi-armed Bandits


Fairness over time in dynamic resource allocation with an application in Healthcare


Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs


Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples


Fairness without Demographics through Learning Graph of Gradients


Fairness without Sensitive Attributes via Knowledge Sharing


Fairness without the sensitive attribute via Causal Variational Autoencoder


Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints


Fairness-Accuracy Trade-Offs: A Causal Perspective


Fairness-Aware Estimation of Graphical Models


Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone


Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare


Fairness-Aware Neural Réyni Minimization for Continuous Features


Fairness-Aware Streaming Feature Selection with Causal Graphs


Fairness-Aware Structured Pruning in Transformers


Fairness-Enhancing Ensemble Classification in Water Distribution Networks


Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks


Fairness-aware Configuration of Machine Learning Libraries


Fairness-aware Maximal Clique in Large Graphs: Concepts and Algorithms


Fairness-aware Multiobjective Evolutionary Learning


Fairness-aware Personalized Ranking Recommendation via Adversarial Learning


Fairness-aware Vision Transformer via Debiased Self-Attention


Fairwashing Explanations with Off-Manifold Detergent


Fairwashing: the risk of rationalization


FairyGen: Storied Cartoon Video from a Single Child-Drawn Character


FairyTailor: A Multimodal Generative Framework for Storytelling


FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languages


Faith and Fate: Limits of Transformers on Compositionality


Faith: An Efficient Framework for Transformer Verification on GPUs


FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs


FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation


FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"


FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models


Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System


Faithful Embeddings for Knowledge Base Queries


Faithful Heteroscedastic Regression with Neural Networks


Faithful Label-free Knowledge Distillation


Faithful Logical Reasoning via Symbolic Chain-of-Thought


Faithful Low-Resource Data-to-Text Generation through Cycle Training


Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals


Faithful Persona-based Conversational Dataset Generation with Large Language Models


Faithful Question Answering with Monte-Carlo Planning


Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs


Faithful Target Attribute Prediction in Neural Machine Translation


Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint


Faithful and Plausible Explanations of Medical Code Predictions


Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach


Faithful and Robust Local Interpretability for Textual Predictions


Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization


Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation


FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation


Faithfully Explainable Recommendation via Neural Logic Reasoning


Faithfulness Measurable Masked Language Models


Faithfulness Tests for Natural Language Explanations


Faithfulness-Aware Decoding Strategies for Abstractive Summarization


Faithiful Embeddings for EL++ Knowledge Bases


Fake Alignment: Are LLMs Really Aligned Well?


Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection


Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors


Fake News Detection After LLM Laundering: Measurement and Explanation


Fake News Detection as Natural Language Inference


Fake News Detection by means of Uncertainty Weighted Causal Graphs


Fake News Detection in Spanish Using Deep Learning Techniques


Fake News Detection with Heterogeneous Transformer


Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data


Fake News Detection: It's All in the Data!


Fake News Detection: a comparison between available Deep Learning techniques in vector space


Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks


Fake face detection via adaptive manipulation traces extraction network


Fake it till you make it: using artificial turbulence to achieve swift converged turbulence statistics in a pressure-driven channel flow


Fake or Real? A Study of Arabic Satirical Fake News


FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset


FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models


FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs


FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas War


FakeEdge: Alleviate Dataset Shift in Link Prediction


FakeFlow: Fake News Detection by Modeling the Flow of Affective Information


FakeMix Augmentation Improves Transparent Object Detection


FakeMusicCaps: a Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models


FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection


FakeSound: Deepfake General Audio Detection


Faked Speech Detection with Zero Prior Knowledge


Fakeium: A Dynamic Execution Environment for JavaScript Program Analysis


Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations


Faking Fairness via Stealthily Biased Sampling


Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation


FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process


Falcon 2.0: An Entity and Relation Linking Tool over Wikidata


Falcon: A Remote Sensing Vision-Language Foundation Model


Falcon: Advancing Asynchronous BFT Consensus for Lower Latency and Enhanced Throughput


Falcon: Fair Active Learning using Multi-armed Bandits


Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search


Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack


Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning


False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics


False Discovery Rate Control for High-Dimensional Networks of Quantile Associations Conditioning on Covariates


False Discovery Rate Control for Lesion-Symptom Mapping with Heterogeneous data via Weighted P-values


False Discovery Rate and Localizing Power


False Discovery estimation in Record Linkage


False Negative Awareness in Indicator-based Caching Systems


False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation


False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates


False Negative/Positive Control for SAM on Noisy Medical Images


False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims


False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers


False discovery proportion envelopes with m-consistency


False discovery rate regression: an application to neural synchrony detection in primary visual cortex


False positive probabilties for all Kepler Objects of Interest: 1284 newly validated planets and 428 likely false positives


False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image


Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization


Falsification before Extrapolation in Causal Effect Estimation


Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization


Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms


Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation


Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data


Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs


Families and Clusters of Diffuse Interstellar Bands: a Data-Driven Correlation Analysis


Families of Gröbner Degenerations, Grassmannians and Universal Cluster Algebras


Families of Pairs of Genus 2 Curves with Isomorphic Unpolarized Jacobians


Families of costs with zero and nonnegative MTW tensor in optimal transport


Families of lattice polytopes of mixed degree one


Family based HLA imputation and optimization of haplo-identical transplants


Family-wise error rate control in Gaussian graphical model selection via Distributionally Robust Optimization


FamilyTool: A Multi-hop Personalized Tool Use Benchmark


Familywise Error Rate Control by Interactive Unmasking


FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis


FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models


Fanaroff-Riley classification of radio galaxies using group-equivariant convolutional neural networks


Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation


Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs


Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM


Fantastic DNN Classifiers and How to Identify them without Data


Fantastic Four: Differentiable Bounds on Singular Values of Convolution Layers


Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model


Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems


Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics


Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training


FantasyID: Face Knowledge Enhanced ID-Preserving Video Generation


Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection


Far-field intensity signature of sub-wavelength microscopic objects


Far-from-equilibrium hydrodynamic simulations of ultrarelativistic nuclear collisions


Far3D: Expanding the Horizon for Surround-view 3D Object Detection


FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments


Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion


Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model


FarsTail: A Persian Natural Language Inference Dataset


Farseer: A Refined Scaling Law in Large Language Models


Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers


FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks


Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning


Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback


Fashion Image Retrieval with Capsule Networks


Fashion Landmark Detection and Category Classification for Robotics


Fashion Matrix: Editing Photos by Just Talking


Fashion Recommendation Based on Style and Social Events


Fashion Recommendation: Outfit Compatibility using GNN


Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space


Fashion-Guided Adversarial Attack on Person Segmentation


FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization


FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation


FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery


FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings


FashionReGen: LLM-Empowered Fashion Report Generation


FashionTex: Controllable Virtual Try-on with Text and Texture


FashionViL: Fashion-Focused Vision-and-Language Representation Learning


Fast & Furious: Modelling Malware Detection as Evolving Data Streams


Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data


Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021


Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting


Fast Adaptation to Super-Resolution Networks via Meta-Learning


Fast Adaptation via Policy-Dynamics Value Functions


Fast Adaptive Fourier Integration for Spectral Densities of Gaussian Processes


Fast Adaptive Regression-based Model Predictive Control


Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning


Fast Adversarial Training with Smooth Convergence


Fast Algorithm for Constrained Linear Inverse Problems


Fast Algorithms for Minimum Homology Basis


Fast Algorithms for Spiking Neural Network Simulation with FPGAs


Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss


Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?


Fast Approximate Bayesian Contextual Cold Start Learning (FAB-COST)


Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes


Fast Approximate Dynamic Programming for Input-Affine Dynamics


Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement


Fast Approximation of Persistence Diagrams with Guarantees


Fast Arbitrary Precision Floating Point on FPGA


Fast Asymmetric Factorization for Large Scale Multiple Kernel Clustering


Fast Attributed Graph Embedding via Density of States


Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy


Fast Automated Analysis of Strong Gravitational Lenses with Convolutional Neural Networks


Fast Automatic Detection of Geological Boundaries from Multivariate Log Data Using Recurrence


Fast Axiomatic Attribution for Neural Networks


Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors


Fast Bayesian Functional Principal Components Analysis


Fast Bayesian Inference for Neutrino Non-Standard Interactions at Dark Matter Direct Detection Experiments


Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination


Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)


Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network


Fast Bayesian spectral analysis using Convolutional Neural Networks: Applications over GONG H$α$ solar data


Fast Beam Alignment via Pure Exploration in Multi-armed Bandits


Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates


Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks


Fast Best-of-N Decoding via Speculative Rejection


Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars


Fast Calculation of Gravitational Lensing Properties of Elliptical Navarro-Frenk-White and Hernquist Density Profiles


Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network


Fast Certified Robust Training with Short Warmup


Fast Channel Estimation in the Transformed Spatial Domain for Analog Millimeter Wave Systems


Fast Classification with Sequential Feature Selection in Test Phase


Fast Compressed Tries through Path Decompositions


Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables


Fast Computation of Branching Process Transition Probabilities via ADMM


Fast Computation of Generalized Dedekind Sums


Fast Computation of the Discrete Fourier Transform Square Index Coefficients


Fast Computations on Ordered Nominal Sets


Fast Computer Model Calibration using Annealed and Transformed Variational Inference


Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised


Fast Conditional Independence Test for Vector Variables with Large Sample Sizes


Fast Conservative Monte Carlo Confidence Intervals


Fast Context Adaptation via Meta-Learning


Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations


Fast Controllable Diffusion Models for Undersampled MRI Reconstruction


Fast Convex Quadratic Optimization Solvers with Adaptive Sketching-based Preconditioners


Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing


Fast Cross-Validation via Sequential Testing


Fast Cross-validation in Harmonic Approximation


Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification


Fast Decomposable Submodular Function Minimization using Constrained Total Variation


Fast Density-Peaks Clustering: Multicore-based Parallelization Approach


Fast Depth Estimation for View Synthesis


Fast Derivative Valuation from Volatility Surfaces using Machine Learning


Fast Deterministic Black-box Context-free Grammar Inference


Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning


Fast Differentiable Clipping-Aware Normalization and Rescaling


Fast Differentiable Matrix Square Root and Inverse Square Root


Fast Differentiable Modal Simulation of Non-linear Strings, Membranes, and Plates


Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution


Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation


Fast Disentangled Slim Tensor Learning for Multi-view Clustering


Fast Disparity Estimation using Dense Networks


Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder


Fast Distributed k-Means with a Small Number of Rounds


Fast Dynamic Radiance Fields with Time-Aware Neural Voxels


Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays


Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning


Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines


Fast Ensembling with Diffusion Schrödinger Bridge


Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine


Fast Estimation of Causal Interactions using Wold Processes


Fast Estimation of Partial Dependence Functions using Trees


Fast Evaluation for Relevant Quantities of Opinion Dynamics


Fast Evaluation of Additive Kernels: Feature Arrangement, Fourier Methods, and Kernel Derivatives


Fast Evaluation of Real and Complex Polynomials


Fast Event-based Double Integral for Real-time Robotics


Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition


Fast Exact Retrieval for Nearest-neighbor Lookup (FERN)


Fast Explicit-Input Assistance for Teleoperation in Clutter


Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input


Fast Falsification of Neural Networks using Property Directed Testing


Fast Feature Fool: A data independent approach to universal adversarial perturbations


Fast Feedforward 3D Gaussian Splatting Compression


Fast Few-Shot Classification by Few-Iteration Meta-Learning


Fast Few-shot Debugging for NLU Test Suites


Fast Flexible Paxos: Relaxing Quorum Intersection for Fast Paxos


Fast Fourier Inception Networks for Occluded Video Prediction


Fast Fourier Transform periodic interpolation method for superposition sums in a periodic unit cell


Fast Full-frame Video Stabilization with Iterative Optimization


Fast GPU-Enabled Color Normalization for Digital Pathology


Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes


Fast Gaussian Distributed Pseudorandom Number Generation in Java via the Ziggurat Algorithm


Fast Generalized Functional Principal Components Analysis


Fast Generation for Convolutional Autoregressive Models


Fast Generation of Feasible Trajectories in Direct Optimal Control


Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution


Fast Geographic Routing in Fixed-Growth Graphs


Fast Geometric Embedding for Node Influence Maximization


Fast Geometrically-Perturbed Adversarial Faces


Fast Global Localization on Neural Radiance Field


Fast Graph Condensation with Structure-based Neural Tangent Kernel


Fast Graph Filters for Decentralized Subspace Projection


Fast Graph Generation via Spectral Diffusion


Fast Graph Kernel with Optical Random Features


Fast Graph Learning with Unique Optimal Solutions


Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification


Fast Graphlet Transform of Sparse Graphs


Fast Hierarchical Games for Image Explanations


Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem


Fast High-Dimensional Bilateral and Nonlocal Means Filtering


Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations


Fast IDentity Online with Anonymous Credentials (FIDO-AC)


Fast Implementation of a Bayesian Unsupervised Segmentation Algorithm


Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications


Fast Independent Vector Extraction by Iterative SINR Maximization


Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction


Fast Inference in Denoising Diffusion Models via MMD Finetuning


Fast Inference of Mixture-of-Experts Language Models with Offloading


Fast Inference of Removal-Based Node Influence


Fast Information-theoretic Bayesian Optimisation


Fast Instrument Learning with Faster Rates


Fast Intent Classification for Spoken Language Understanding


Fast Interactive Object Annotation with Curve-GCN


Fast Interactive Video Object Segmentation with Graph Neural Networks


Fast Intra-kernel Isolation and Security with IskiOS


Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes


Fast Kernel Density Estimation with Density Matrices and Random Fourier Features


Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified Sketches


Fast Kernel Summation in High Dimensions via Slicing and Fourier Transforms


Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks


Fast Kronecker Matrix-Matrix Multiplication on GPUs


Fast L1-L2 minimization via a proximal operator


Fast L1-NMF for Multiple Parametric Model Estimation


Fast Learning Radiance Fields by Shooting Much Fewer Rays


Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models


Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling


Fast LiDAR Data Generation with Rectified Flows


Fast LiDAR Upsampling using Conditional Diffusion Models


Fast Likelihood-free Reconstruction of Gravitational Wave Backgrounds


Fast Linking Numbers for Topology Verification of Loopy Structures


Fast Lossless Neural Compression with Integer-Only Discrete Flows


Fast Low-Rank Matrix Learning with Nonconvex Regularization


Fast Low-rank Metric Learning for Large-scale and High-dimensional Data


Fast MRI Reconstruction via Edge Attention


Fast Machine Learning Method with Vector Embedding on Orthonormal Basis and Spectral Transform


Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening


Fast Machine-Precision Spectral Likelihoods for Stationary Time Series


Fast Magnetic Coil Controller for Cold Atom Experiments


Fast Many-to-Many Routing for Dynamic Taxi Sharing with Meeting Points


Fast Matching Pursuit with Multi-Gabor Dictionaries


Fast Matrix Factorization with Non-Uniform Weights on Missing Data


Fast Matrix Multiplication Without Tears: A Constraint Programming Approach


Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization


Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach


Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice


Fast Maximum $k$-Plex Algorithms Parameterized by Small Degeneracy Gaps


Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach


Fast Meta-Analytic Approximations for Relational Event Models: Applications to Data Streams and Multilevel Data


Fast Meta-Learning for Adaptive Hierarchical Classifier Design


Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging


Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints


Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression


Fast Monte Carlo Rendering via Multi-Resolution Sampling


Fast Multi-grid Methods for Minimizing Curvature Energy


Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity


Fast Multilevel Algorithms for Compressive Principle Component Pursuit


Fast Multimodal Journey Planning for Three Criteria


Fast Multiple Landmark Localisation Using a Patch-based Iterative Network


Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences


Fast Mutation in Crossover-based Algorithms


Fast Mutual Information Computation for Large Binary Datasets


Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition


Fast Nearest Neighbor Machine Translation


Fast Neighborhood Search Heuristics for the Colored Bin Packing Problem


Fast Network Community Detection with Profile-Pseudo Likelihood Methods


Fast Neural Kernel Embeddings for General Activations


Fast Neural Representations for Direct Volume Rendering


Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations


Fast Nonlinear Vector Quantile Regression


Fast Object Inertial Parameter Identification for Collaborative Robots


Fast Obstacle Avoidance Based on Real-Time Sensing


Fast One-Stage Unsupervised Domain Adaptive Person Search


Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors


Fast Online Adaptive Neural MPC via Meta-Learning


Fast Online Changepoint Detection via Functional Pruning CUSUM statistics


Fast Online Deconvolution of Calcium Imaging Data


Fast Online Hashing with Multi-Label Projection


Fast Online Node Labeling for Very Large Graphs


Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control


Fast Optical System Identification by Numerical Interferometry


Fast Optimal Locally Private Mean Estimation via Random Projections


Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics


Fast PDE-constrained optimization via self-supervised operator learning


Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering


Fast Parallel Algorithms for Statistical Subset Selection Problems


Fast Parallel Hypertree Decompositions in Logarithmic Recursion Depth


Fast Parameter Estimation of Binary Mergers for Multimessenger Followup


Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder


Fast Partitioning of Pauli Strings into Commuting Families for Optimal Expectation Value Measurements of Dense Operators


Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion


Fast Path Planning Through Large Collections of Safe Boxes


Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets


Fast Period Searches Using the Lomb-Scargle Algorithm on Graphics Processing Units for Large Datasets and Real-Time Applications


Fast Point Cloud Generation with Straight Flows


Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement


Fast Poisson solvers for spectral methods


Fast Polynomial Kernel Classification for Massive Data


Fast Power Curve Approximation for Posterior Analyses


Fast Power system security analysis with Guided Dropout


Fast Prediction with SVM Models Containing RBF Kernels


Fast Predictive Uncertainty for Classification with Bayesian Deep Networks


Fast Private Kernel Density Estimation via Locality Sensitive Quantization


Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO)


Fast Prompt Alignment for Text-to-Image Generation


Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks


Fast Prototyping of Distributed Stream Processing Applications with stream2gym


Fast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch


Fast Rank-1 NMF for Missing Data with KL Divergence


Fast Rates for Maximum Entropy Exploration


Fast Rates for Noisy Interpolation Require Rethinking the Effects of Inductive Bias


Fast Re-Optimization of LeadingOnes with Frequent Changes


Fast Reciprocal Collision Avoidance Under Measurement Uncertainty


Fast Reconfiguration of LC-RISs: Modeling and Algorithm Design


Fast Reconstruction of Three-Quarter Sampling Measurements Using Recurrent Local Joint Sparse Deconvolution and Extrapolation


Fast Redescription Mining Using Locality-Sensitive Hashing


Fast Road Segmentation via Uncertainty-aware Symmetric Network


Fast Sample Size Determination for Bayesian Equivalence Tests


Fast Sampling of Diffusion Models via Operator Learning


Fast Sampling of Protein Conformational Dynamics


Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time


Fast Search Method for Large Polarization Kernels


Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests


Fast Searching The Densest Subgraph And Decomposition With Local Optimality


Fast Semisupervised Unmixing Using Nonconvex Optimization


Fast Shapley Value Estimation: A Unified Approach


Fast Simulation of a High Granularity Calorimeter by Generative Adversarial Networks


Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization


Fast Single Image Reflection Suppression via Convex Optimization


Fast Sparse Classification for Generalized Linear and Additive Models


Fast Stabiliser Simulation with Quadratic Form Expansions


Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization


Fast Structured Decoding for Sequence Models


Fast Succinct Retrieval and Approximate Membership using Ribbon


Fast Summation of Radial Kernels via QMC Slicing


Fast Summation on the Sphere with Applications to the Barotropic Vorticity Equation


Fast Supervised Discrete Hashing and its Analysis


Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions


Fast Template Matching and Update for Video Object Tracking and Segmentation


Fast Temporal Wavelet Graph Neural Networks


Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization


Fast Thermalization from the Eigenstate Thermalization Hypothesis


Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph


Fast Timing-Conditioned Latent Audio Diffusion


Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks


Fast Training of Diffusion Models with Masked Transformers


Fast Training of Recurrent Neural Networks with Stationary State Feedbacks


Fast Trajectory Optimization via Successive Convexification for Spacecraft Rendezvous with Integer Constraints


Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers


Fast Unbalanced Optimal Transport on a Tree


Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods


Fast Universal Control of an Oscillator with Weak Dispersive Coupling to a Qubit


Fast Unsupervised Deep Outlier Model Selection with Hypernetworks


Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering


Fast Variational Block-Sparse Bayesian Learning


Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings


Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines


Fast Video Object Segmentation using the Global Context Module


Fast Visual Object Tracking with Rotated Bounding Boxes


Fast Weakly Supervised Action Segmentation Using Mutual Consistency


Fast Yet Effective Speech Emotion Recognition with Self-distillation


Fast acoustic scattering using convolutional neural networks


Fast adjoint differentiation of chaos via computing unstable perturbations of transfer operators


Fast algorithm for generating random bit strings and multispin coding for directed percolation


Fast algorithm to identify cluster synchrony through fibration symmetries in large information-processing networks


Fast algorithms for classical specifications of stabiliser states and Clifford gates


Fast algorithms for least square problems with Kronecker lower subsets


Fast algorithms for robust principal component analysis with an upper bound on the rank


Fast algorithms to improve fair information access in networks


Fast alignment of heterogeneous images in sliced Wasserstein distance


Fast analytical calculation of the random pair counts for realistic survey geometry


Fast and Accurate Algorithm for Calculating Long-Baseline Neutrino Oscillation Probabilities with Matter Effects: NuFast


Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach


Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems


Fast and Accurate Blind Flexible Docking


Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors -- Algorithm and Application


Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification


Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing


Fast and Accurate Entity Recognition with Iterated Dilated Convolutions


Fast and Accurate Factual Inconsistency Detection Over Long Documents


Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning


Fast and Accurate Importance Weighting for Correcting Sample Bias


Fast and Accurate Least-Mean-Squares Solvers


Fast and Accurate Modeling of Transient-State Gradient-Spoiled Sequences by Recurrent Neural Networks


Fast and Accurate Network Embeddings via Very Sparse Random Projection


Fast and Accurate Neural Word Segmentation for Chinese


Fast and Accurate Online Video Object Segmentation via Tracking Parts


Fast and Accurate Retrieval of Methane Concentration from Imaging Spectrometer Data Using Sparsity Prior


Fast and Accurate Scene Parsing via Bi-direction Alignment Networks


Fast and Accurate Single Image Super-Resolution via Information Distillation Network


Fast and Accurate Sparse Coding of Visual Stimuli with a Simple, Ultra-Low-Energy Spiking Architecture


Fast and Accurate Tensor Completion with Total Variation Regularized Tensor Trains


Fast and Accurate Triangle Counting in Graph Streams Using Predictions


Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location


Fast and Adaptive Questionnaires for Voting Advice Applications


Fast and Attributed Change Detection on Dynamic Graphs with Density of States


Fast and Automated Optical Polarization Compensation of Fiber Unitaries


Fast and Automated Peak Bagging with DIAMONDS (FAMED)


Fast and Communication-Efficient Multi-UAV Exploration Via Voronoi Partition on Dynamic Topological Graph


Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers


Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning


Fast and Continual Knowledge Graph Embedding via Incremental LoRA


Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes


Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari


Fast and Differentiable Message Passing on Pairwise Markov Random Fields


Fast and Effective Biomedical Entity Linking Using a Dual Encoder


Fast and Effective Weight Update for Pruned Large Language Models


Fast and Efficient Locomotion via Learned Gait Transitions


Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold


Fast and Efficient Model for Real-Time Tiger Detection In The Wild


Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction


Fast and Efficient Zero-Learning Image Fusion


Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach


Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder


Fast and Fair Simultaneous Confidence Bands for Functional Parameters


Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning


Fast and Flexible Human Pose Estimation with HyperPose


Fast and Flexible Temporal Point Processes with Triangular Maps


Fast and Frobenius: Rational Isogeny Evaluation over Finite Fields


Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation


Fast and Heavy Disjoint Weighted Matchings for Demand-Aware Datacenter Topologies


Fast and High-Fidelity Readout of Single Trapped-Ion Qubit via Machine Learning Methods


Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs


Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations


Fast and Interpretable Mortality Risk Scores for Critical Care Patients


Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning


Fast and Lightweight Scene Regressor for Camera Relocalization


Fast and Locally Adaptive Bayesian Quantile Smoothing using Calibrated Variational Approximations


Fast and Low-Cost Approximate Multiplier for FPGAs using Dynamic Reconfiguration


Fast and Low-Cost Genomic Foundation Models via Outlier Removal


Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements


Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution


Fast and Memory-Efficient Video Diffusion Using Streamlined Inference


Fast and Multi-aspect Mining of Complex Time-stamped Event Streams


Fast and Optimal Changepoint Detection and Localization using Bonferroni Triplets


Fast and Optimal Inference for Change Points in Piecewise Polynomials via Differencing


Fast and Powerful Conditional Randomization Testing via Distillation


Fast and Practical Strassen's Matrix Multiplication using FPGAs


Fast and Precise Light Curve Model for Transiting Exoplanets with Rings


Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search


Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions


Fast and Provable Simultaneous Blind Super-Resolution and Demixing for Point Source Signals: Scaled Gradient Descent without Regularization


Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer Programming


Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack


Fast and Reliable Formal Verification of Smart Contracts with the Move Prover


Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study


Fast and Robust Bio-inspired Teach and Repeat Navigation


Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution


Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras


Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces


Fast and Robust Fixed-Rank Matrix Recovery


Fast and Robust Flocking of Protesters on Street Networks


Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines


Fast and Robust Hexahedral Mesh Optimization via Augmented Lagrangian, L-BFGS, and Line Search


Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization


Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation


Fast and Robust Rank Aggregation against Model Misspecification


Fast and Robust Registration of Partially Overlapping Point Clouds


Fast and Robust Small Infrared Target Detection Using Absolute Directional Mean Difference Algorithm


Fast and Robust Sparsity-Aware Block Diagonal Representation


Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers


Fast and Scalable Inference for Spatial Extreme Value Models


Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee


Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure


Fast and Secure Distributed Nonnegative Matrix Factorization


Fast and Secure Routing Algorithms for Quantum Key Distribution Networks


Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding


Fast and Slow Gradient Approximation for Binary Neural Network Optimization


Fast and Space-Efficient Construction of AVL Grammars from the LZ77 Parsing


Fast and Space-Efficient Parallel Algorithms for Influence Maximization


Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods


Fast and Vectorizable Alternative to Binary Search in O(1) Applicable to a Wide Domain of Sorted Arrays of Floating Point Numbers


Fast and accurate Voronoi density gridding from Lagrangian hydrodynamics data


Fast and accurate approximate inference of transcript expression from RNA-seq data


Fast and accurate learned multiresolution dynamical downscaling for precipitation


Fast and accurate mock catalogue generation for low-mass galaxies


Fast and accurate object detection in high resolution 4K and 8K video using GPUs


Fast and accurate optimization on the orthogonal manifold without retraction


Fast and direct nonparametric procedures in the L-moment homogeneity test


Fast and efficient identification of anomalous galaxy spectra with neural density estimation


Fast and exact evaluation of box splines via the PP-form


Fast and exact fixed-radius neighbor search based on sorting


Fast and exact simulations of stochastic epidemics on static and temporal networks


Fast and explainable clustering based on sorting


Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations


Fast and light-efficient wavefront shaping with a MEMS phase-only light modulator


Fast and memory-efficient optimization for large-scale data-driven predictive control


Fast and principled simulations of the SIR model on temporal networks


Fast and reliable confidence intervals for a variance component


Fast and robust consensus-based optimization via optimal feedback control