Saved in:
| Main Authors: | You, Kaichao, Qin, Guo, Bao, Anchang, Cao, Meng, Huang, Ping, Shan, Jiulong, Long, Mingsheng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.11624 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
by: You, Kaichao, et al.
Published: (2024)
by: You, Kaichao, et al.
Published: (2024)
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
by: Chen, Hao, et al.
Published: (2022)
by: Chen, Hao, et al.
Published: (2022)
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
by: Shen, Siqi, et al.
Published: (2025)
by: Shen, Siqi, et al.
Published: (2025)
Efficient Transfer Learning via Causal Bounds
by: Gong, Xueping, et al.
Published: (2023)
by: Gong, Xueping, et al.
Published: (2023)
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
by: Zhong, Jincheng, et al.
Published: (2025)
by: Zhong, Jincheng, et al.
Published: (2025)
Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects
by: Tan, Zhentao, et al.
Published: (2026)
by: Tan, Zhentao, et al.
Published: (2026)
RLVR-World: Training World Models with Reinforcement Learning
by: Wu, Jialong, et al.
Published: (2025)
by: Wu, Jialong, et al.
Published: (2025)
Beyond Retrieval: Modeling Confidence Decay and Deterministic Agentic Platforms in Generative Engine Optimization
by: Zhao, XinYu, et al.
Published: (2026)
by: Zhao, XinYu, et al.
Published: (2026)
Less is More for RAG: Information Gain Pruning for Generator-Aligned Reranking and Evidence Selection
by: Song, Zhipeng, et al.
Published: (2026)
by: Song, Zhipeng, et al.
Published: (2026)
Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning
by: Islam, Md. Rabiul, et al.
Published: (2023)
by: Islam, Md. Rabiul, et al.
Published: (2023)
VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning
by: Shen, Yucheng, et al.
Published: (2026)
by: Shen, Yucheng, et al.
Published: (2026)
Dynamic Attention Mechanism in Spatiotemporal Memory Networks for Object Tracking
by: Zhou, Meng, et al.
Published: (2025)
by: Zhou, Meng, et al.
Published: (2025)
FOAM: Blocked State Folding for Memory-Efficient LLM Training
by: Wen, Ziqing, et al.
Published: (2025)
by: Wen, Ziqing, et al.
Published: (2025)
Enhancing Adversarial Transferability through Block Stretch and Shrink
by: Liu, Quan, et al.
Published: (2025)
by: Liu, Quan, et al.
Published: (2025)
Lightweight Edge Learning via Dataset Pruning
by: Ale, Laha, et al.
Published: (2026)
by: Ale, Laha, et al.
Published: (2026)
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
by: Chen, Kaiyuan, et al.
Published: (2024)
by: Chen, Kaiyuan, et al.
Published: (2024)
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
by: Liang, Yingyu, et al.
Published: (2024)
by: Liang, Yingyu, et al.
Published: (2024)
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
by: Shen, Leming, et al.
Published: (2025)
by: Shen, Leming, et al.
Published: (2025)
Reviving ConvNeXt for Efficient Convolutional Diffusion Models
by: Kwon, Taesung, et al.
Published: (2026)
by: Kwon, Taesung, et al.
Published: (2026)
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion
by: Chen, Lifeng, et al.
Published: (2026)
by: Chen, Lifeng, et al.
Published: (2026)
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
by: Cao, Meng, et al.
Published: (2024)
by: Cao, Meng, et al.
Published: (2024)
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
by: Guo, Wenbin, et al.
Published: (2023)
by: Guo, Wenbin, et al.
Published: (2023)
PrivCirNet: Efficient Private Inference via Block Circulant Transformation
by: Xu, Tianshi, et al.
Published: (2024)
by: Xu, Tianshi, et al.
Published: (2024)
LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation Systems
by: Song, Zhipeng, et al.
Published: (2026)
by: Song, Zhipeng, et al.
Published: (2026)
TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators
by: Qin, Yifan, et al.
Published: (2024)
by: Qin, Yifan, et al.
Published: (2024)
Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video Generation
by: Yan, Lingyong, et al.
Published: (2026)
by: Yan, Lingyong, et al.
Published: (2026)
MethConvTransformer: A Deep Learning Framework for Cross-Tissue Alzheimer's Disease Detection
by: Qu, Gang, et al.
Published: (2026)
by: Qu, Gang, et al.
Published: (2026)
Beyond Superficial Forgetting: Thorough Unlearning through Knowledge Density Estimation and Block Re-insertion
by: Guo, Feng, et al.
Published: (2025)
by: Guo, Feng, et al.
Published: (2025)
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
by: Tan, Yang, et al.
Published: (2022)
by: Tan, Yang, et al.
Published: (2022)
Tiny, On-Device Decision Makers with the MiniConv Library
by: Purves, Carlos
Published: (2025)
by: Purves, Carlos
Published: (2025)
Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning
by: Lai, Yinyi, et al.
Published: (2024)
by: Lai, Yinyi, et al.
Published: (2024)
Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
by: Feng, Xiachong, et al.
Published: (2026)
by: Feng, Xiachong, et al.
Published: (2026)
Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
by: Xie, Chen, et al.
Published: (2025)
by: Xie, Chen, et al.
Published: (2025)
FedReplay: A Feature Replay Assisted Federated Transfer Learning Framework for Efficient and Privacy-Preserving Smart Agriculture
by: Li, Long, et al.
Published: (2025)
by: Li, Long, et al.
Published: (2025)
VeCLIP: Improving CLIP Training via Visual-enriched Captions
by: Lai, Zhengfeng, et al.
Published: (2023)
by: Lai, Zhengfeng, et al.
Published: (2023)
Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation
by: Wang, Yan, et al.
Published: (2026)
by: Wang, Yan, et al.
Published: (2026)
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
by: Wu, Jiulong, et al.
Published: (2025)
by: Wu, Jiulong, et al.
Published: (2025)
Beyond Retention: Orchestrating Structural Safety and Plasticity in Continual Learning for LLMs
by: Meng, Fei
Published: (2026)
by: Meng, Fei
Published: (2026)
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
by: Chin, Zhi-Yi, et al.
Published: (2023)
by: Chin, Zhi-Yi, et al.
Published: (2023)
Similar Items
-
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
by: You, Kaichao, et al.
Published: (2024) -
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
by: Chen, Hao, et al.
Published: (2022) -
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
by: Shen, Siqi, et al.
Published: (2025) -
Efficient Transfer Learning via Causal Bounds
by: Gong, Xueping, et al.
Published: (2023) -
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
by: Zhong, Jincheng, et al.
Published: (2025)