Saved in:
| Main Authors: | Huang, Mengqing, Yu, Hongchuan, Zhang, Jianjun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.01498 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates
by: Liu, Yun, et al.
Published: (2025)
by: Liu, Yun, et al.
Published: (2025)
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
by: Song, Jialei, et al.
Published: (2025)
by: Song, Jialei, et al.
Published: (2025)
Generalization analysis with deep ReLU networks for metric and similarity learning
by: Zhou, Junyu, et al.
Published: (2024)
by: Zhou, Junyu, et al.
Published: (2024)
Adversarially robust generalization theory via Jacobian regularization for deep neural networks
by: Wu, Dongya, et al.
Published: (2024)
by: Wu, Dongya, et al.
Published: (2024)
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint
by: Shi, Zhongjie, et al.
Published: (2024)
by: Shi, Zhongjie, et al.
Published: (2024)
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study
by: Omee, Sadman Sadeed, et al.
Published: (2024)
by: Omee, Sadman Sadeed, et al.
Published: (2024)
On margin-based generalization prediction in deep neural networks
by: Mouton, Coenraad
Published: (2024)
by: Mouton, Coenraad
Published: (2024)
Towards generalizing deep-audio fake detection networks
by: Gasenzer, Konstantin, et al.
Published: (2023)
by: Gasenzer, Konstantin, et al.
Published: (2023)
Scalable unsupervised alignment of general metric and non-metric structures
by: Vedula, Sanketh, et al.
Published: (2024)
by: Vedula, Sanketh, et al.
Published: (2024)
Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
by: Zhang, Hai-Feng, et al.
Published: (2025)
by: Zhang, Hai-Feng, et al.
Published: (2025)
How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
by: Singh, Prabhant, et al.
Published: (2025)
by: Singh, Prabhant, et al.
Published: (2025)
A deep graph model for the signed interaction prediction in biological network
by: Jin, Shuyi, et al.
Published: (2024)
by: Jin, Shuyi, et al.
Published: (2024)
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment
by: Voelcker, Claas A, et al.
Published: (2024)
by: Voelcker, Claas A, et al.
Published: (2024)
Position: Many generalization measures for deep learning are fragile
by: Zhang, Shuofeng, et al.
Published: (2025)
by: Zhang, Shuofeng, et al.
Published: (2025)
PowerGraph: A power grid benchmark dataset for graph neural networks
by: Varbella, Anna, et al.
Published: (2024)
by: Varbella, Anna, et al.
Published: (2024)
A general framework for deep learning
by: Kengne, William, et al.
Published: (2025)
by: Kengne, William, et al.
Published: (2025)
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
by: Pignet, Arthur, et al.
Published: (2024)
by: Pignet, Arthur, et al.
Published: (2024)
On the effects of similarity metrics in decentralized deep learning under distributional shift
by: Zec, Edvin Listo, et al.
Published: (2024)
by: Zec, Edvin Listo, et al.
Published: (2024)
Beacon, a lightweight deep reinforcement learning benchmark library for flow control
by: Viquerat, Jonathan, et al.
Published: (2024)
by: Viquerat, Jonathan, et al.
Published: (2024)
Resolution invariant deep operator network for PDEs with complex geometries
by: Huang, Jianguo, et al.
Published: (2024)
by: Huang, Jianguo, et al.
Published: (2024)
Implicit regularization of deep residual networks towards neural ODEs
by: Marion, Pierre, et al.
Published: (2023)
by: Marion, Pierre, et al.
Published: (2023)
Neural networks in non-metric spaces
by: Galimberti, Luca
Published: (2024)
by: Galimberti, Luca
Published: (2024)
Deployment-complete benchmarking
by: Mansouri, El Mustapha, et al.
Published: (2026)
by: Mansouri, El Mustapha, et al.
Published: (2026)
Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
by: Proctor, Timothy, et al.
Published: (2025)
by: Proctor, Timothy, et al.
Published: (2025)
On the expressivity of deep Heaviside networks
by: Kong, Insung, et al.
Published: (2025)
by: Kong, Insung, et al.
Published: (2025)
Intrinsic training dynamics of deep neural networks
by: Marcotte, Sibylle, et al.
Published: (2025)
by: Marcotte, Sibylle, et al.
Published: (2025)
Towards generalizable deep ptychography neural networks
by: Vong, Albert, et al.
Published: (2025)
by: Vong, Albert, et al.
Published: (2025)
An axiomatized PDE model of deep neural networks
by: Wang, Tangjun, et al.
Published: (2023)
by: Wang, Tangjun, et al.
Published: (2023)
The impact of internal variability on benchmarking deep learning climate emulators
by: Lütjens, Björn, et al.
Published: (2024)
by: Lütjens, Björn, et al.
Published: (2024)
FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics
by: Zhong, Yunhua, et al.
Published: (2026)
by: Zhong, Yunhua, et al.
Published: (2026)
AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning
by: Song, Yuqi, et al.
Published: (2024)
by: Song, Yuqi, et al.
Published: (2024)
Motif distribution and function of sparse deep neural networks
by: Zahn, Olivia T., et al.
Published: (2024)
by: Zahn, Olivia T., et al.
Published: (2024)
An invariance constrained deep learning network for PDE discovery
by: Chen, Chao, et al.
Published: (2024)
by: Chen, Chao, et al.
Published: (2024)
On efficiently computable functions, deep networks and sparse compositionality
by: Poggio, Tomaso
Published: (2025)
by: Poggio, Tomaso
Published: (2025)
Infinite-channel deep stable convolutional neural networks
by: Bracale, Daniele, et al.
Published: (2021)
by: Bracale, Daniele, et al.
Published: (2021)
LLM-Cave: A benchmark and light environment for large language models reasoning and decision-making system
by: Li, Huanyu, et al.
Published: (2025)
by: Li, Huanyu, et al.
Published: (2025)
Rethinking deep learning: linear regression remains a key benchmark in predicting terrestrial water storage
by: Nie, Wanshu, et al.
Published: (2025)
by: Nie, Wanshu, et al.
Published: (2025)
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance
by: Li, Hongkang, et al.
Published: (2024)
by: Li, Hongkang, et al.
Published: (2024)
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
by: Tahir, Muhammad, et al.
Published: (2025)
by: Tahir, Muhammad, et al.
Published: (2025)
DevBench: A multimodal developmental benchmark for language learning
by: Tan, Alvin Wei Ming, et al.
Published: (2024)
by: Tan, Alvin Wei Ming, et al.
Published: (2024)
Similar Items
-
PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates
by: Liu, Yun, et al.
Published: (2025) -
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
by: Song, Jialei, et al.
Published: (2025) -
Generalization analysis with deep ReLU networks for metric and similarity learning
by: Zhou, Junyu, et al.
Published: (2024) -
Adversarially robust generalization theory via Jacobian regularization for deep neural networks
by: Wu, Dongya, et al.
Published: (2024) -
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint
by: Shi, Zhongjie, et al.
Published: (2024)