Saved in:
| Main Author: | Li, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2303.04203 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing
by: Lai, Guannan, et al.
Published: (2025)
by: Lai, Guannan, et al.
Published: (2025)
A Survey on Deep Clustering: From the Prior Perspective
by: Lu, Yiding, et al.
Published: (2024)
by: Lu, Yiding, et al.
Published: (2024)
ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers
by: Hsu, Chih-Chung, et al.
Published: (2026)
by: Hsu, Chih-Chung, et al.
Published: (2026)
Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
by: Zhang, Ziwei, et al.
Published: (2021)
by: Zhang, Ziwei, et al.
Published: (2021)
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
by: Wen, Qishuai, et al.
Published: (2024)
by: Wen, Qishuai, et al.
Published: (2024)
Brain Tumor Classification from 3D MRI Using Persistent Homology and Betti Features: A Topological Data Analysis Approach on BraTS2020
by: Ahmed, Faisal
Published: (2026)
by: Ahmed, Faisal
Published: (2026)
STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology
by: Jignasu, Anushrut, et al.
Published: (2024)
by: Jignasu, Anushrut, et al.
Published: (2024)
Memory Efficient Neural Processes via Constant Memory Attention Block
by: Feng, Leo, et al.
Published: (2023)
by: Feng, Leo, et al.
Published: (2023)
Dataset Distillation as Data Compression: A Rate-Utility Perspective
by: Bao, Youneng, et al.
Published: (2025)
by: Bao, Youneng, et al.
Published: (2025)
DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
by: Li, Quanhao, et al.
Published: (2026)
by: Li, Quanhao, et al.
Published: (2026)
A Geometric Perspective on Diffusion Models
by: Chen, Defang, et al.
Published: (2023)
by: Chen, Defang, et al.
Published: (2023)
Pruning at Initialization -- A Sketching Perspective
by: Bar, Noga, et al.
Published: (2023)
by: Bar, Noga, et al.
Published: (2023)
Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
by: Chen, Huancheng, et al.
Published: (2024)
by: Chen, Huancheng, et al.
Published: (2024)
A Mathematical Perspective On Contrastive Learning
by: Baptista, Ricardo, et al.
Published: (2025)
by: Baptista, Ricardo, et al.
Published: (2025)
Masked Generative Transformer Is What You Need for Image Editing
by: Chow, Wei, et al.
Published: (2026)
by: Chow, Wei, et al.
Published: (2026)
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
by: Khan, Hikmat, et al.
Published: (2024)
by: Khan, Hikmat, et al.
Published: (2024)
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
by: Wen, Xin, et al.
Published: (2024)
by: Wen, Xin, et al.
Published: (2024)
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
by: Hess, Timm, et al.
Published: (2023)
by: Hess, Timm, et al.
Published: (2023)
Associative Memories in the Feature Space
by: Salvatori, Tommaso, et al.
Published: (2024)
by: Salvatori, Tommaso, et al.
Published: (2024)
Deep Clustering with Associative Memories
by: Saha, Bishwajit, et al.
Published: (2026)
by: Saha, Bishwajit, et al.
Published: (2026)
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
by: Silva, Thalles, et al.
Published: (2024)
by: Silva, Thalles, et al.
Published: (2024)
Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction
by: Sarkar, Aditya, et al.
Published: (2026)
by: Sarkar, Aditya, et al.
Published: (2026)
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship
by: Gowda, Shreyank N, et al.
Published: (2023)
by: Gowda, Shreyank N, et al.
Published: (2023)
Lite-SAM Is Actually What You Need for Segment Everything
by: Fu, Jianhai, et al.
Published: (2024)
by: Fu, Jianhai, et al.
Published: (2024)
Sampling Foundational Transformer: A Theoretical Perspective
by: Nguyen, Viet Anh, et al.
Published: (2024)
by: Nguyen, Viet Anh, et al.
Published: (2024)
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
by: Zhang, Letian, et al.
Published: (2023)
by: Zhang, Letian, et al.
Published: (2023)
ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory
by: Wang, Jianchao, et al.
Published: (2025)
by: Wang, Jianchao, et al.
Published: (2025)
LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation
by: Xiao, Yang, et al.
Published: (2025)
by: Xiao, Yang, et al.
Published: (2025)
Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
by: Li, Kunyang, et al.
Published: (2026)
by: Li, Kunyang, et al.
Published: (2026)
What is Adversarial Training for Diffusion Models?
by: Rosaria, Briglia Maria, et al.
Published: (2025)
by: Rosaria, Briglia Maria, et al.
Published: (2025)
Understanding Domain Generalization: A Noise Robustness Perspective
by: Qiao, Rui, et al.
Published: (2024)
by: Qiao, Rui, et al.
Published: (2024)
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
by: Yu, Wanhao, et al.
Published: (2025)
by: Yu, Wanhao, et al.
Published: (2025)
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning
by: Wan, Wenhai, et al.
Published: (2023)
by: Wan, Wenhai, et al.
Published: (2023)
Time-, Memory- and Parameter-Efficient Visual Adaptation
by: Mercea, Otniel-Bogdan, et al.
Published: (2024)
by: Mercea, Otniel-Bogdan, et al.
Published: (2024)
Expanding Sparse Tuning for Low Memory Usage
by: Shen, Shufan, et al.
Published: (2024)
by: Shen, Shufan, et al.
Published: (2024)
Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training
by: Lu, Aojun, et al.
Published: (2026)
by: Lu, Aojun, et al.
Published: (2026)
GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective
by: Wang, Xu, et al.
Published: (2026)
by: Wang, Xu, et al.
Published: (2026)
Reimagining Anomalies: What If Anomalies Were Normal?
by: Liznerski, Philipp, et al.
Published: (2024)
by: Liznerski, Philipp, et al.
Published: (2024)
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification
by: Weißflog, Markus, et al.
Published: (2024)
by: Weißflog, Markus, et al.
Published: (2024)
LASERS: LAtent Space Encoding for Representations with Sparsity for Generative Modeling
by: Li, Xin, et al.
Published: (2024)
by: Li, Xin, et al.
Published: (2024)
Similar Items
-
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing
by: Lai, Guannan, et al.
Published: (2025) -
A Survey on Deep Clustering: From the Prior Perspective
by: Lu, Yiding, et al.
Published: (2024) -
ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers
by: Hsu, Chih-Chung, et al.
Published: (2026) -
Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
by: Zhang, Ziwei, et al.
Published: (2021) -
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
by: Wen, Qishuai, et al.
Published: (2024)