Explaining Generalization Power of a DNN Using Interactive Concepts
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Huilin, Zhang, Hao, Deng, Huiqi, Liu, Dongrui, Shen, Wen, Chan, Shih-Han, Zhang, Quanshi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions
by: Cheng, Lei, et al.
Published: (2025)
by: Cheng, Lei, et al.
Published: (2025)
Towards the Dynamics of a DNN Learning Symbolic Interactions
by: Ren, Qihan, et al.
Published: (2024)
by: Ren, Qihan, et al.
Published: (2024)
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features
by: Zhang, Junpeng, et al.
Published: (2024)
by: Zhang, Junpeng, et al.
Published: (2024)
Towards Attributions of Input Variables in a Coalition
by: Zheng, Xinhao, et al.
Published: (2023)
by: Zheng, Xinhao, et al.
Published: (2023)
Technical Report: Quantifying and Analyzing the Generalization Power of a DNN
by: He, Yuxuan, et al.
Published: (2025)
by: He, Yuxuan, et al.
Published: (2025)
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models
by: Ren, Qihan, et al.
Published: (2023)
by: Ren, Qihan, et al.
Published: (2023)
Does a Neural Network Really Encode Symbolic Concepts?
by: Li, Mingjie, et al.
Published: (2023)
by: Li, Mingjie, et al.
Published: (2023)
Randomness of Low-Layer Parameters Determines Confusing Samples in Terms of Interaction Representations of a DNN
by: Zhang, Junpeng, et al.
Published: (2025)
by: Zhang, Junpeng, et al.
Published: (2025)
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs
by: Li, Mingjie, et al.
Published: (2023)
by: Li, Mingjie, et al.
Published: (2023)
Understanding Generalization through Decision Pattern Shift
by: Deng, Huiqi, et al.
Published: (2026)
by: Deng, Huiqi, et al.
Published: (2026)
Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
by: Mikriukov, Georgii, et al.
Published: (2023)
by: Mikriukov, Georgii, et al.
Published: (2023)
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
by: Giulivi, Loris, et al.
Published: (2024)
by: Giulivi, Loris, et al.
Published: (2024)
Disentangling Regional Primitives for Image Generation
by: Chen, Zhengting, et al.
Published: (2024)
by: Chen, Zhengting, et al.
Published: (2024)
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
by: Tan, Andong, et al.
Published: (2024)
by: Tan, Andong, et al.
Published: (2024)
Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
by: Wei, Zhihua, et al.
Published: (2026)
by: Wei, Zhihua, et al.
Published: (2026)
Defining and Extracting generalizable interaction primitives from DNNs
by: Chen, Lu, et al.
Published: (2024)
by: Chen, Lu, et al.
Published: (2024)
Explaining How Visual, Textual and Multimodal Encoders Share Concepts
by: Cornet, Clément, et al.
Published: (2025)
by: Cornet, Clément, et al.
Published: (2025)
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework
by: Wang, Shaobo, et al.
Published: (2023)
by: Wang, Shaobo, et al.
Published: (2023)
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification
by: Zeng, Zequn, et al.
Published: (2025)
by: Zeng, Zequn, et al.
Published: (2025)
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
by: Chen, Lu, et al.
Published: (2024)
by: Chen, Lu, et al.
Published: (2024)
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model
by: Zaval, Mounes, et al.
Published: (2024)
by: Zaval, Mounes, et al.
Published: (2024)
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
by: Ma, Qianli, et al.
Published: (2024)
by: Ma, Qianli, et al.
Published: (2024)
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
by: Chiaburu, Teodor, et al.
Published: (2024)
by: Chiaburu, Teodor, et al.
Published: (2024)
Towards the Resistance of Neural Network Watermarking to Fine-tuning
by: Tang, Ling, et al.
Published: (2025)
by: Tang, Ling, et al.
Published: (2025)
Understanding Multimodal Deep Neural Networks: A Concept Selection View
by: Shang, Chenming, et al.
Published: (2024)
by: Shang, Chenming, et al.
Published: (2024)
BF-GAN: Development of an AI-driven Bubbly Flow Image Generation Model Using Generative Adversarial Networks
by: Zhou, Wen, et al.
Published: (2025)
by: Zhou, Wen, et al.
Published: (2025)
SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation
by: Tan, Shanwen, et al.
Published: (2026)
by: Tan, Shanwen, et al.
Published: (2026)
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
by: Hao, Shaozhe, et al.
Published: (2024)
by: Hao, Shaozhe, et al.
Published: (2024)
Joint Memory Frequency and Computing Frequency Scaling for Energy-efficient DNN Inference
by: Han, Yunchu, et al.
Published: (2025)
by: Han, Yunchu, et al.
Published: (2025)
A Trajectory-free Crash Detection Framework with Generative Approach and Segment Map Diffusion
by: Shen, Weiying, et al.
Published: (2025)
by: Shen, Weiying, et al.
Published: (2025)
E4: Energy-Efficient DNN Inference for Edge Video Analytics Via Early-Exit and DVFS
by: Zhang, Ziyang, et al.
Published: (2025)
by: Zhang, Ziyang, et al.
Published: (2025)
Improving Skeleton-based Action Recognition with Interactive Object Information
by: Wen, Hao, et al.
Published: (2025)
by: Wen, Hao, et al.
Published: (2025)
VC-Agent: An Interactive Agent for Customized Video Dataset Collection
by: Zhang, Yidan, et al.
Published: (2025)
by: Zhang, Yidan, et al.
Published: (2025)
CLIPin: A Non-contrastive Plug-in to CLIP for Multimodal Semantic Alignment
by: Yang, Shengzhu, et al.
Published: (2025)
by: Yang, Shengzhu, et al.
Published: (2025)
Cached Multi-Lora Composition for Multi-Concept Image Generation
by: Zou, Xiandong, et al.
Published: (2025)
by: Zou, Xiandong, et al.
Published: (2025)
Layerwise Change of Knowledge in Neural Networks
by: Cheng, Xu, et al.
Published: (2024)
by: Cheng, Xu, et al.
Published: (2024)
Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion
by: Cai, Peiliang, et al.
Published: (2026)
by: Cai, Peiliang, et al.
Published: (2026)
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
by: Ke, Xueyi, et al.
Published: (2025)
by: Ke, Xueyi, et al.
Published: (2025)
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
by: Parchami-Araghi, Amin, et al.
Published: (2025)
by: Parchami-Araghi, Amin, et al.
Published: (2025)
Beyond Fixed Anchors: Precisely Erasing Concepts with Sibling Exclusive Counterparts
by: Zhang, Tong, et al.
Published: (2025)
by: Zhang, Tong, et al.
Published: (2025)
Similar Items
-
Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions
by: Cheng, Lei, et al.
Published: (2025) -
Towards the Dynamics of a DNN Learning Symbolic Interactions
by: Ren, Qihan, et al.
Published: (2024) -
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features
by: Zhang, Junpeng, et al.
Published: (2024) -
Towards Attributions of Input Variables in a Coalition
by: Zheng, Xinhao, et al.
Published: (2023) -
Technical Report: Quantifying and Analyzing the Generalization Power of a DNN
by: He, Yuxuan, et al.
Published: (2025)