Cover Image

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xin-Chun, Tang, Jin-Lin, Zhang, Bo, Li, Lan, Zhan, De-Chuan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
by: Xu, Yichu, et al.
Published: (2024)

Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
by: Xu, Yichu, et al.
Published: (2024)

Adaptive Data Exploitation in Deep Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2025)

ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2025)

Wormhole Dynamics in Deep Neural Networks
by: Lai, Yen-Lung, et al.
Published: (2025)

RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
by: Li, Xiaosheng, et al.
Published: (2024)

Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)

Decision-focused Graph Neural Networks for Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2024)

Set-Valued Sensitivity Analysis of Deep Neural Networks
by: Wang, Xin, et al.
Published: (2024)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)

Reward Models in Deep Reinforcement Learning: A Survey
by: Yu, Rui, et al.
Published: (2025)

Anomaly Detection Based on Critical Paths for Deep Neural Networks
by: Zhao, Fangzhen, et al.
Published: (2025)

Compositional Function Networks: A High-Performance Alternative to Deep Neural Networks with Built-in Interpretability
by: Li, Fang
Published: (2025)

Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module
by: Zhou, Jingbo, et al.
Published: (2023)

Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent
by: Liu, Weihua, et al.
Published: (2024)

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)

Proximity-Informed Calibration for Deep Neural Networks
by: Xiong, Miao, et al.
Published: (2023)

Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training
by: Liu, Zeyu, et al.
Published: (2025)

Complex Physics-Informed Neural Network
by: Si, Chenhao, et al.
Published: (2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
by: Geng, Xue, et al.
Published: (2024)

DeepDefense: Layer-Wise Gradient-Feature Alignment for Building Robust Neural Networks
by: Lin, Ci, et al.
Published: (2025)

Low-bit Model Quantization for Deep Neural Networks: A Survey
by: Liu, Kai, et al.
Published: (2025)

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
by: Li, Wenqiang, et al.
Published: (2023)

Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks
by: Li, Kevin, et al.
Published: (2024)

MUC-G4: Minimal Unsat Core-Guided Incremental Verification for Deep Neural Network Compression
by: Li, Jingyang, et al.
Published: (2025)

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference
by: Li, Bo, et al.
Published: (2026)

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
by: Yang, Zhengxin, et al.
Published: (2024)

Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning
by: Li, Zhuoran, et al.
Published: (2024)

A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems
by: Li, Pang, et al.
Published: (2024)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
by: Li, Mengfan, et al.
Published: (2024)

A Neural Network Architecture Based on Attention Gate Mechanism for 3D Magnetotelluric Forward Modeling
by: Zhong, Xin, et al.
Published: (2025)

Widening the Gap: Exploiting LLM Quantization via Outlier Injection
by: Zhan, Xiaohua, et al.
Published: (2026)

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
by: Wang, Qiongyan, et al.
Published: (2025)

Quantum-Classical Hybrid Quantized Neural Network
by: Li, Wenxin, et al.
Published: (2025)

Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
by: Dai, Enyan, et al.
Published: (2024)

Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
by: Li, Shi
Published: (2025)

The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation
by: Deng, Huiqi, et al.
Published: (2025)

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)