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ZClip: Adaptive Spike Mitigation for LLM Pre-Training
ZClip: Adaptive Spike Mitigation for LLM Pre-Training
Arxiv
0+阅读 · 4月3日
FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs
FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs
Arxiv
0+阅读 · 4月2日
CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition
CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition
Arxiv
0+阅读 · 4月2日
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?
Arxiv
0+阅读 · 4月2日
Generalizable Prompt Learning of CLIP: A Brief Overview
Arxiv
0+阅读 · 4月1日
DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks
Arxiv
0+阅读 · 3月31日
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation
Arxiv
0+阅读 · 4月1日
COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
Arxiv
0+阅读 · 3月30日
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
Arxiv
0+阅读 · 3月31日
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization
Arxiv
0+阅读 · 3月31日
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation
Arxiv
0+阅读 · 3月29日
Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs
Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs
Arxiv
0+阅读 · 3月31日
Instance-Level Data-Use Auditing of Visual ML Models
Instance-Level Data-Use Auditing of Visual ML Models
Arxiv
0+阅读 · 3月28日
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Arxiv
0+阅读 · 3月28日
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
Arxiv
0+阅读 · 3月28日
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