:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sun, Kai, Duan, Peibo, Huang, Yongsheng, Zhang, Guowei, Smith, Benjamin, Gong, Nanxu, Kuhlmann, Levin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.14252
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025)

CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2025)

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)

A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
by: Liu, Zhipeng, et al.
Published: (2025)

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026)

Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
by: Deng, Qiyan, et al.
Published: (2025)

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
by: Wang, Shaobo, et al.
Published: (2024)

Cross Knowledge Distillation between Artificial and Spiking Neural Networks
by: Ye, Shuhan, et al.
Published: (2025)

SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
by: Xu, Changqing, et al.
Published: (2025)

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
by: Yu, Chengting, et al.
Published: (2025)

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks
by: Zhang, Tianqing, et al.
Published: (2025)

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate
by: Sun, Yiliu, et al.
Published: (2025)

Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
by: Kang, Donghwa, et al.
Published: (2025)

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
by: Ying, Wangyang, et al.
Published: (2025)

DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification
by: Liu, Zhipeng, et al.
Published: (2025)

Not All Explanations for Deep Learning Phenomena Are Equally Valuable
by: Jeffares, Alan, et al.
Published: (2025)

AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
by: Yuan, Jinhui, et al.
Published: (2024)

TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2023)

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
by: He, Jinmin, et al.
Published: (2023)

Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation
by: Wang, Jiaqi, et al.
Published: (2024)

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
by: Gong, Nanxu, et al.
Published: (2025)

Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025)

NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful
by: Ignatov, Andrey, et al.
Published: (2024)

The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks
by: Kim, Bum Jun, et al.
Published: (2024)

Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment
by: Wang, Leizhen, et al.
Published: (2025)

Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
by: Wang, Cunzheng, et al.
Published: (2024)

Equally Critical: Samples, Targets, and Their Mappings in Datasets
by: Yang, Runkang, et al.
Published: (2025)

Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation
by: Jin, Heegon, et al.
Published: (2024)

Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning
by: Jali, Neharika, et al.
Published: (2026)

Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models
by: Ye, Zekai, et al.
Published: (2026)

Training Spiking Neural Networks via Augmented Direct Feedback Alignment
by: Zhang, Yongbo, et al.
Published: (2024)

Rapfi: Distilling Efficient Neural Network for the Game of Gomoku
by: Jin, Zhanggen, et al.
Published: (2025)

Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification
by: Zhang, Qi, et al.
Published: (2024)

Fully Spiking Neural Network for Legged Robots
by: Jiang, Xiaoyang, et al.
Published: (2023)

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation
by: Guo, Sihang, et al.
Published: (2026)

Learning with Spike Synchrony in Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)

A Functional Perspective on Knowledge Distillation in Neural Networks
by: Mason-Williams, Israel, et al.
Published: (2025)

Online Adversarial Knowledge Distillation for Graph Neural Networks
by: Wang, Can, et al.
Published: (2021)

Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks
by: Song, Jian, et al.
Published: (2025)

To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)