Papers with Code 아카이브

3D Action Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

6

평가표

3

보존된 평가 기록

13

논문

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

Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models

Should We Really Edit Language Models? On the Evaluation of Edited Language Models

Inference time LLM alignment in single and multidomain preference spectrum

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing

Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing

Gradient Rewiring for Editable Graph Neural Network Training

Can Knowledge Editing Really Correct Hallucinations?

EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding

Can We Reverse In-Context Knowledge Edits?

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing

Keys to Robust Edits: from Theoretical Insights to Practical Advances

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing

Uncovering Overfitting in Large Language Model Editing

Mitigating Gender Bias in Code Large Language Models via Model Editing

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing

CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition

Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing

FAME: Towards Factual Multi-Task Model Editing

Neuron-Level Sequential Editing for Large Language Models

RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization

Precision Knowledge Editing: Enhancing Safety in Large Language Models

UniAdapt: A Universal Adapter for Knowledge Calibration

Self-Updatable Large Language Models with Parameter Integration

Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration

Identifying Knowledge Editing Types in Large Language Models

"Why" Has the Least Side Effect on Model Editing

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion

Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense

Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action Recognition

Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition

Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis

Redefining Data Pairing for Motion Retargeting Leveraging a Human Body Prior

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