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Showing 4801–4850 of 5387 papers

TitleStatusHype
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains—0
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—0
Face-MLLM: A Large Face Perception Model—0
FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing—0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification—0
Facial Attribute Capsules for Noise Face Super Resolution—0
Facial Attributes: Accuracy and Adversarial Robustness—0
Facial Attribute Transformers for Precise and Robust Makeup Transfer—0
Facial Data Minimization: Shallow Model as Your Privacy Filter—0
Facial Image Reconstruction from Functional Magnetic Resonance Imaging via GAN Inversion with Improved Attribute Consistency—0
Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators—0
Factor Analysis in Fault Diagnostics Using Random Forest—0
Fact or Artifact? Revise Layer-wise Relevance Propagation on various ANN Architectures—0
Factorizers for Distributed Sparse Block Codes—0
FactorJoin: A New Cardinality Estimation Framework for Join Queries—0
Fader Networks:Manipulating Images by Sliding Attributes—0
fairadapt: Causal Reasoning for Fair Data Pre-processing—0
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
Fair Classification under Covariate Shift and Missing Protected Attribute -- an Investigation using Related Features—0
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization—0
Fair Clustering via Alignment—0
Fair Clustering via Hierarchical Fair-Dirichlet Process—0
Fair Correlation Clustering in Forests—0
FADE: Towards Fairness-aware Augmentation for Domain Generalization via Classifier-Guided Score-based Diffusion Models—0
Fair Effect Attribution in Parallel Online Experiments—0
Fair Empirical Risk Minimization via Exponential Rényi Mutual Information—0
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation—0
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets—0
Fair Forests: Regularized Tree Induction to Minimize Model Bias—0
Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention—0
Fair Group-Shared Representations with Normalizing Flows—0
Fairly Adaptive Negative Sampling for Recommendations—0
Fair mapping—0
Fair Meta-Learning: Learning How to Learn Fairly—0
Fair Multi-Exit Framework for Facial Attribute Classification—0
Fairness and robustness in anti-causal prediction—0
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions—0
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features—0
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning—0
Fairness Aware Reinforcement Learning via Proximal Policy Optimization—0
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality—0
Fairness in Clustering with Multiple Sensitive Attributes—0
Fairness in Machine Learning with Tractable Models—0
Fairness in Submodular Maximization over a Matroid Constraint—0
Fairness in Supervised Learning: An Information Theoretic Approach—0
Fairness in Visual Clustering: A Novel Transformer Clustering Approach—0
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data—0
Fairness via Adversarial Attribute Neighbourhood Robust Learning—0
Fairness via Representation Neutralization—0
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