1 citations · 1 across the 8 of their papers we have counts for
8 papers
How Does Parameter Pruning Reshape DNN Representations? An Interaction-Driven Exploration
Fangbo Li, Junpeng Zhang, Qihan Ren +1
This study focuses on the scientific problem of understanding internal factors that govern the diverse performance degradation of deep neural networks (DNNs) when different paramet…
Counting Hallucinations in Diffusion Models
Shuai Fu, Jian Zhou, Qi Chen +7
Diffusion probabilistic models (DPMs) have demonstrated remarkable progress in generative tasks, such as image and video synthesis. However, they still often produce hallucinated s…
Technical Report: Quantifying and Analyzing the Generalization Power of a DNN
Yuxuan He, Junpeng Zhang, Lei Cheng +2
This paper proposes a new perspective for analyzing the generalization power of deep neural networks (DNNs), i.e., directly disentangling and analyzing the dynamics of generalizabl…
Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions
Lei Cheng, Junpeng Zhang, Qihan Ren +1
This paper aims to analyze the generalization power of deep neural networks (DNNs) from the perspective of interactions. Unlike previous analysis of a DNN's generalization power in…
Randomness of Low-Layer Parameters Determines Confusing Samples in Terms of Interaction Representations of a DNN
Junpeng Zhang, Lei Cheng, Qing Li +2
In this paper, we find that the complexity of interactions encoded by a deep neural network (DNN) can explain its generalization power. We also discover that the confusing samples…
Disentangling Regional Primitives for Image Generation
Zhengting Chen, Lei Cheng, Lianghui Ding +2
This paper explains a neural network for image generation from a new perspective, i.e., explaining representation structures for image generation. We propose a set of desirable pro…
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
Siyu Lou, Yuntian Chen, Xiaodan Liang +2
In this study, we propose an axiomatic system to define and quantify the precise memorization and in-context reasoning effects used by the large language model (LLM) for language g…
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features
Junpeng Zhang, Qing Li, Liang Lin +1
This paper investigates the dynamics of a deep neural network (DNN) learning interactions. Previous studies have discovered and mathematically proven that given each input sample,…