Cover Image

Memory-Efficient Continual Learning with CLIP Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	King, Ryan, Li, Gang, Mortazavi, Bobak, Yang, Tianbao
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability
by: King, Ryan, et al.
Published: (2026)

An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data
by: King, Ryan, et al.
Published: (2024)

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
by: Yi, Chenlang, et al.
Published: (2025)

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
by: Wei, Xiyuan, et al.
Published: (2025)

ArterialNet: Reconstructing Arterial Blood Pressure Waveform with Wearable Pulsatile Signals, a Cohort-Aware Approach
by: Huang, Sicong, et al.
Published: (2024)

DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
by: Li, Gang, et al.
Published: (2025)

Breaking the Limits of Open-Weight CLIP: An Optimization Framework for Self-supervised Fine-tuning of CLIP
by: Mehta, Anant, et al.
Published: (2026)

A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental Safety
by: Li, Gang, et al.
Published: (2024)

FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources
by: Wei, Xiyuan, et al.
Published: (2024)

Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints
by: Yang, Ming, et al.
Published: (2025)

DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
by: Li, Gang, et al.
Published: (2025)

Communication-Efficient Federated Group Distributionally Robust Optimization
by: Guo, Zhishuai, et al.
Published: (2024)

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
by: Luthra, Achleshwar, et al.
Published: (2025)

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
by: Wang, Bokun, et al.
Published: (2024)

Multi-Output Distributional Fairness via Post-Processing
by: Li, Gang, et al.
Published: (2024)

Efficient and Effective Implicit Dynamic Graph Neural Network
by: Zhong, Yongjian, et al.
Published: (2024)

Leveraging Lightweight Generators for Memory Efficient Continual Learning
by: Lamers, Christiaan, et al.
Published: (2025)

Hardness of Learning Neural Networks under the Manifold Hypothesis
by: Kiani, Bobak T., et al.
Published: (2024)

SketchOGD: Memory-Efficient Continual Learning
by: Min, Youngjae, et al.
Published: (2023)

TiC-CLIP: Continual Training of CLIP Models
by: Garg, Saurabh, et al.
Published: (2023)

Continual Learning for non-stationary regression via Memory-Efficient Replay
by: García-Santaclara, Pablo, et al.
Published: (2026)

An Attention-based Feature Memory Design for Energy-Efficient Continual Learning
by: Wang, Yuandou, et al.
Published: (2025)

DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation
by: Guo, Siqi, et al.
Published: (2026)

A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
by: Wang, Bokun, et al.
Published: (2023)

Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
by: Thorat, Shantanu, et al.
Published: (2024)

Harness as an Asset: Enforcing Determinism via the Convergent AI Agent Framework (CAAF)
by: Zhang, Tianbao
Published: (2026)

Myna: Masking-Based Contrastive Learning of Musical Representations
by: Yonay, Ori, et al.
Published: (2025)

EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
by: Fan, Wenzhe, et al.
Published: (2025)

Unitary convolutions for learning on graphs and groups
by: Kiani, Bobak T., et al.
Published: (2024)

A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
by: Wei, Xiyuan, et al.
Published: (2026)

Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
by: Ibtehaz, Nabil, et al.
Published: (2024)

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
by: Zhou, Yuhao, et al.
Published: (2025)

Learning to Rank with Top-$K$ Fairness
by: Zhang, Boyang, et al.
Published: (2025)

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
by: Li, Jindong, et al.
Published: (2025)

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning
by: Huang, Linlan, et al.
Published: (2025)

Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
by: Li, Na, et al.
Published: (2025)

Hybrid safe-strong rules for efficient optimization in lasso-type problems
by: Zeng, Yaohui, et al.
Published: (2017)

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

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
by: Luo, Mao-Lin, et al.
Published: (2025)

FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
by: Xie, Jin, et al.
Published: (2024)