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3D Action Recognition

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature Alignment

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm

Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition

Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs

DualEdit: Dual Editing for Knowledge Updating in Vision-Language Models

Model Merging for Knowledge Editing

Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints

PropMEND: Hypernetworks for Knowledge Propagation in LLMs

SoK: Machine Unlearning for Large Language Models

MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs

The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing

Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs

Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing

3D Skeleton-Based Action Recognition: A Review

On Fairness of Task Arithmetic: The Role of Task Vectors

Model Unlearning via Sparse Autoencoder Subspace Guided Projections

Drop Dropout on Single-Epoch Language Model Pretraining

Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition

Context Robust Knowledge Editing for Language Models

ScEdit: Script-based Assessment of Knowledge Editing

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features

Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing

CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models

DocMEdit: Towards Document-Level Model Editing

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing

LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models

Safety Alignment via Constrained Knowledge Unlearning

Benchmarking and Rethinking Knowledge Editing for Large Language Models

Disentangling Knowledge Representations for Large Language Model Editing

Localizing Knowledge in Diffusion Transformers

Model Editing with Graph-Based External Memory

UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing

Editing Across Languages: A Survey of Multilingual Knowledge Editing

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.