:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fan, Wen-Shu, Li, Xin-Chun, Zhan, De-Chuan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2405.13078
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dual-Forward Path Teacher Knowledge Distillation: Bridging the Capacity Gap Between Teacher and Student
by: Li, Tong, et al.
Published: (2025)

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
by: Li, Xin-Chun, et al.
Published: (2024)

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

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

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

Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
by: Liu, Jiaqi, et al.
Published: (2023)

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
by: Li, Lan, et al.
Published: (2025)

Understanding the Role of Rehearsal Scale in Continual Learning under Varying Model Capacities
by: He, JinLi, et al.
Published: (2026)

Paying Attention to Facts: Quantifying the Knowledge Capacity of Attention Layers
by: Wong, Liang Ze
Published: (2025)

Capacity-Constrained Continual Learning
by: Wen, Zheng, et al.
Published: (2025)

Robust Super-Capacity SRS Channel Inpainting via Diffusion Models
by: Akram, Usman, et al.
Published: (2025)

Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
by: Allen-Zhu, Zeyuan, et al.
Published: (2024)

Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity
by: Li, Bojie
Published: (2026)

Exploring the Hidden Capacity of LLMs for One-Step Text Generation
by: Mezentsev, Gleb, et al.
Published: (2025)

Conditional Diffusion Modeling with Attention for Probabilistic Battery Capacity Prediction under Real-World Condition
by: Jiang, Chunlin, et al.
Published: (2025)

FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
by: Wu, Nannan, et al.
Published: (2025)

External Knowledge Injection for CLIP-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2025)

Student Capacity Moderates Knowledge Distillation Effectiveness: A Systematic Study Across ResNet Teacher-Student Pairs on CIFAR-10
by: Yasar, Umut Onur
Published: (2026)

Attention-based Deep Neural Networks for Battery Discharge Capacity Forecasting
by: Zhang, Yadong, et al.
Published: (2022)

Characterizing the Representational Capacity of Neural Processes
by: Young, Robin
Published: (2026)

Maximum Manifold Capacity Representations in State Representation Learning
by: Meng, Li, et al.
Published: (2024)

On the Optimal Memorization Capacity of Transformers
by: Kajitsuka, Tokio, et al.
Published: (2024)

MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
by: Li, Xin-Chun, et al.
Published: (2024)

Imbalanced Classification under Capacity Constraints
by: Fraiman, Daniel, et al.
Published: (2026)

On the Representational Capacity of Recurrent Neural Language Models
by: Nowak, Franz, et al.
Published: (2023)

SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices
by: Zhuge, Xiangwen, et al.
Published: (2025)

Mismatch Capacity under Stochastic Decoding
by: Molina, Francesc, et al.
Published: (2026)

Memory Capacity of Nonlinear Recurrent Networks: Is it Informative?
by: Ballarin, Giovanni, et al.
Published: (2025)

Memorization Capacity of Multi-Head Attention in Transformers
by: Mahdavi, Sadegh, et al.
Published: (2023)

Effects of Feature Correlations on Associative Memory Capacity
by: Bielmeier, Stefan, et al.
Published: (2025)

Techniques for Enhancing Memory Capacity of Reservoir Computing
by: Yokota, Atsuki, et al.
Published: (2025)

Learning to Optimize Capacity Planning in Semiconductor Manufacturing
by: Andelfinger, Philipp, et al.
Published: (2025)

On the Generalization Capacities of MLLMs for Spatial Intelligence
by: Zhang, Gongjie, et al.
Published: (2026)

Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
by: Wang, Zheng, et al.
Published: (2024)

Exploring and Addressing Reward Confusion in Offline Preference Learning
by: Chen, Xin, et al.
Published: (2024)

Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
by: Girgis, Abanoub M., et al.
Published: (2024)

Innovation Capacity of Dynamical Learning Systems
by: Polloreno, Anthony M.
Published: (2026)

AWaRe-SAC: Proactive Slice Admission Control under Weather-Induced Capacity Uncertainty
by: Jacoby, Dror, et al.
Published: (2026)

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization
by: Li, Jingwei, et al.
Published: (2026)

Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)