In Search of the Successful Interpolation: On the Role of Sharpness in CLIP Generalization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Abdollahpoorrostam, Alireza
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model soups need only one ingredient
by: Abdollahpoorrostam, Alireza, et al.
Published: (2026)

Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry
by: Salmani, Mahdi, et al.
Published: (2025)

Revisiting DeepFool: generalization and improvement
by: Abdollahpoorrostam, Alireza, et al.
Published: (2023)

A Regularization-Sharpness Tradeoff for Linear Interpolators
by: Hu, Qingyi, et al.
Published: (2026)

Rényi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization
by: Zhang, Qiaozhe, et al.
Published: (2025)

Sharp Generalization for Nonparametric Regression in Interpolation Space by Over-Parameterized Neural Networks Trained with Preconditioned Gradient Descent and Early Stopping
by: Yang, Yingzhen, et al.
Published: (2024)

Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization
by: Wang, Yutong, et al.
Published: (2024)

Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization
by: Schapiro, Samuel, et al.
Published: (2024)

Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
by: Slivkins, Aleksandrs, et al.
Published: (2025)

Open Materials Generation with Stochastic Interpolants
by: Hoellmer, Philipp, et al.
Published: (2025)

Training-Free Generative Modeling via Kernelized Stochastic Interpolants
by: Coeurdoux, Florentin, et al.
Published: (2026)

On Conditional Stochastic Interpolation for Generative Nonlinear Sufficient Dimension Reduction
by: Xu, Shuntuo, et al.
Published: (2025)

Reframing Generative Models for Physical Systems using Stochastic Interpolants
by: Zhou, Anthony, et al.
Published: (2025)

Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP
by: Abbasi, Reza, et al.
Published: (2024)

Generalized Interpolating Discrete Diffusion
by: von Rütte, Dimitri, et al.
Published: (2025)

On Interpolation Formulas Describing Neural Network Generalization
by: Guo, Jin, et al.
Published: (2026)

Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
by: Lu, Haiquan, et al.
Published: (2024)

Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
by: Zou, Yingtian, et al.
Published: (2024)

Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation
by: Yu, Fengyuan, et al.
Published: (2026)

Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization
by: Qiu, Yang, et al.
Published: (2026)

Latent Stochastic Interpolants
by: Singh, Saurabh, et al.
Published: (2025)

Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks
by: Wiedemer, Thaddäus, et al.
Published: (2025)

Synergy-CLIP: Extending CLIP with Multi-modal Integration for Robust Representation Learning
by: Cho, Sangyeon, et al.
Published: (2025)

Fast Generalization after Interpolation via Critically Damped Momentum Optimization
by: Muscarnera, Luca, et al.
Published: (2026)

Zero Generalization Error Theorem for Random Interpolators via Algebraic Geometry
by: Yoshida, Naoki, et al.
Published: (2025)

FAA-CLIP: Federated Adversarial Adaptation of CLIP
by: Wu, Yihang, et al.
Published: (2025)

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term
by: Yue, Yun, et al.
Published: (2023)

Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation
by: Gao, Boyan, et al.
Published: (2025)

Sharp Minima Can Generalize: A Loss Landscape Perspective On Data
by: Fan, Raymond, et al.
Published: (2025)

Physics-informed Diffusion Generation for Geomagnetic Map Interpolation
by: Li, Wenda, et al.
Published: (2026)

Lipschitz-Guided Design of Interpolation Schedules in Generative Models
by: Chen, Yifan, et al.
Published: (2025)

PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime
by: Masegosa, Andrés R., et al.
Published: (2023)

Measuring Sharpness in Grokking
by: Miller, Jack, et al.
Published: (2024)

BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation
by: Min, Yunhong, et al.
Published: (2025)

Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
by: Liu, Yuhao, et al.
Published: (2025)

Continual Learning with Weight Interpolation
by: Kozal, Jędrzej, et al.
Published: (2024)

Principled Interpolation in Normalizing Flows
by: Fadel, Samuel G., et al.
Published: (2020)

Stochastic Interpolants in Hilbert Spaces
by: Yu, James Boran, et al.
Published: (2026)

Riemannian Neural Geodesic Interpolant
by: Wu, Jiawen, et al.
Published: (2025)

Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
by: Cheng, Nuojin, et al.
Published: (2025)