Saved in:
| Main Authors: | Ren, Dongdong, Li, Wenbin, Ding, Tianyu, Wang, Lei, Fan, Qi, Huo, Jing, Pan, Hongbing, Gao, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.08016 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Selective Quantization Tuner for ONNX Models
by: Louloudakis, Nikolaos, et al.
Published: (2025)
by: Louloudakis, Nikolaos, et al.
Published: (2025)
Enhancing Trust-Region Bayesian Optimization via Newton Methods
by: Chen, Quanlin, et al.
Published: (2025)
by: Chen, Quanlin, et al.
Published: (2025)
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
by: Le, Qi, et al.
Published: (2025)
by: Le, Qi, et al.
Published: (2025)
Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
by: Wang, Tianyu, et al.
Published: (2026)
by: Wang, Tianyu, et al.
Published: (2026)
DiTOX: Fault Detection and Localization in the ONNX Optimizer
by: Louloudakis, Nikolaos, et al.
Published: (2025)
by: Louloudakis, Nikolaos, et al.
Published: (2025)
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem
by: Jajal, Purvish, et al.
Published: (2023)
by: Jajal, Purvish, et al.
Published: (2023)
The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models
by: Lu, Yao, et al.
Published: (2025)
by: Lu, Yao, et al.
Published: (2025)
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures
by: Qin, Shiwen, et al.
Published: (2025)
by: Qin, Shiwen, et al.
Published: (2025)
IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
by: Li, Yixiao, et al.
Published: (2025)
by: Li, Yixiao, et al.
Published: (2025)
Block Circulant Adapter for Large Language Models
by: Ding, Xinyu, et al.
Published: (2025)
by: Ding, Xinyu, et al.
Published: (2025)
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
by: Yang, Yiyuan, et al.
Published: (2025)
by: Yang, Yiyuan, et al.
Published: (2025)
Causal Information Prioritization for Efficient Reinforcement Learning
by: Cao, Hongye, et al.
Published: (2025)
by: Cao, Hongye, et al.
Published: (2025)
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
by: Xia, Mengzhou, et al.
Published: (2023)
by: Xia, Mengzhou, et al.
Published: (2023)
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency
by: Nguyen, Duy Phuong, et al.
Published: (2025)
by: Nguyen, Duy Phuong, et al.
Published: (2025)
FastMMoE: Accelerating Multimodal Large Language Models through Dynamic Expert Activation and Routing-Aware Token Pruning
by: Xia, Guoyang, et al.
Published: (2025)
by: Xia, Guoyang, et al.
Published: (2025)
Adaptive Pruning of Pretrained Transformer via Differential Inclusions
by: Ding, Yizhuo, et al.
Published: (2025)
by: Ding, Yizhuo, et al.
Published: (2025)
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
by: Ren, Lei, et al.
Published: (2024)
by: Ren, Lei, et al.
Published: (2024)
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
by: Tan, Yang, et al.
Published: (2024)
by: Tan, Yang, et al.
Published: (2024)
Dual-Personalizing Adapter for Federated Foundation Models
by: Yang, Yiyuan, et al.
Published: (2024)
by: Yang, Yiyuan, et al.
Published: (2024)
SwiftPrune: Hessian-Free Weight Pruning for Large Language Models
by: Kang, Yuhan, et al.
Published: (2025)
by: Kang, Yuhan, et al.
Published: (2025)
Reconstruct the Pruned Model without Any Retraining
by: Wang, Pingjie, et al.
Published: (2024)
by: Wang, Pingjie, et al.
Published: (2024)
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
by: Lu, Yao, et al.
Published: (2024)
by: Lu, Yao, et al.
Published: (2024)
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
by: Zhang, Tianyu, et al.
Published: (2023)
by: Zhang, Tianyu, et al.
Published: (2023)
Non-transferable Pruning
by: Ding, Ruyi, et al.
Published: (2024)
by: Ding, Ruyi, et al.
Published: (2024)
Efficient Last-iterate Convergence Algorithms in Solving Games
by: Meng, Linjian, et al.
Published: (2023)
by: Meng, Linjian, et al.
Published: (2023)
Function-Guided Conditional Generation Using Protein Language Models with Adapters
by: Yang, Jason, et al.
Published: (2024)
by: Yang, Jason, et al.
Published: (2024)
Batch Loss Score for Dynamic Data Pruning
by: Zhou, Qing, et al.
Published: (2026)
by: Zhou, Qing, et al.
Published: (2026)
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection
by: Li, Wenbin, et al.
Published: (2024)
by: Li, Wenbin, et al.
Published: (2024)
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
Archimedean Copula Inference via Taylor-Mode AD
by: Yang, Cambridge, et al.
Published: (2026)
by: Yang, Cambridge, et al.
Published: (2026)
Unbiased Dynamic Pruning for Efficient Group-Based Policy Optimization
by: Zhu, Haodong, et al.
Published: (2026)
by: Zhu, Haodong, et al.
Published: (2026)
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
by: Chen, Dingshuo, et al.
Published: (2024)
by: Chen, Dingshuo, et al.
Published: (2024)
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
by: Mozaffari, Mohammad, et al.
Published: (2024)
by: Mozaffari, Mohammad, et al.
Published: (2024)
Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure
by: Yang, Minghao, et al.
Published: (2024)
by: Yang, Minghao, et al.
Published: (2024)
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
by: Fu, Yao, et al.
Published: (2025)
by: Fu, Yao, et al.
Published: (2025)
Similar Items
-
A Selective Quantization Tuner for ONNX Models
by: Louloudakis, Nikolaos, et al.
Published: (2025) -
Enhancing Trust-Region Bayesian Optimization via Newton Methods
by: Chen, Quanlin, et al.
Published: (2025) -
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
by: Le, Qi, et al.
Published: (2025) -
Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
by: Wang, Tianyu, et al.
Published: (2026) -
DiTOX: Fault Detection and Localization in the ONNX Optimizer
by: Louloudakis, Nikolaos, et al.
Published: (2025)