Saved in:
| Main Authors: | Kokane, Shirley, Uddin, Mostofa Rafid, Xu, Min |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.04871 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
by: Uddin, Mostofa Rafid, et al.
Published: (2024)
by: Uddin, Mostofa Rafid, et al.
Published: (2024)
Unsupervised SE(3) Disentanglement for in situ Macromolecular Morphology Identification from Cryo-Electron Tomography
by: Uddin, Mostofa Rafid, et al.
Published: (2026)
by: Uddin, Mostofa Rafid, et al.
Published: (2026)
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
by: Uddin, Mostofa Rafid, et al.
Published: (2025)
by: Uddin, Mostofa Rafid, et al.
Published: (2025)
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
by: Wu, Wenyuan, et al.
Published: (2025)
by: Wu, Wenyuan, et al.
Published: (2025)
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
by: Zhang, Qifan, et al.
Published: (2024)
by: Zhang, Qifan, et al.
Published: (2024)
Enriching Knowledge Distillation with Intra-Class Contrastive Learning
by: Yuan, Hua, et al.
Published: (2025)
by: Yuan, Hua, et al.
Published: (2025)
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment
by: Yu, Chengting, et al.
Published: (2024)
by: Yu, Chengting, et al.
Published: (2024)
Densely Distilling Cumulative Knowledge for Continual Learning
by: Shi, Zenglin, et al.
Published: (2024)
by: Shi, Zenglin, et al.
Published: (2024)
Improving Neural ODEs via Knowledge Distillation
by: Chu, Haoyu, et al.
Published: (2022)
by: Chu, Haoyu, et al.
Published: (2022)
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
by: Lowe, Scott C., et al.
Published: (2026)
by: Lowe, Scott C., et al.
Published: (2026)
Preview-based Category Contrastive Learning for Knowledge Distillation
by: Ding, Muhe, et al.
Published: (2024)
by: Ding, Muhe, et al.
Published: (2024)
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
by: Mistretta, Marco, et al.
Published: (2024)
by: Mistretta, Marco, et al.
Published: (2024)
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
by: Zhang, Haimin, et al.
Published: (2024)
by: Zhang, Haimin, et al.
Published: (2024)
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
by: Fang, Pengfei, et al.
Published: (2024)
by: Fang, Pengfei, et al.
Published: (2024)
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
by: Frati, Lapo, et al.
Published: (2023)
by: Frati, Lapo, et al.
Published: (2023)
Improving Diversity in Black-box Few-shot Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)
by: Vo, Tri-Nhan, et al.
Published: (2026)
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation
by: Nath, Utkarsh, et al.
Published: (2023)
by: Nath, Utkarsh, et al.
Published: (2023)
Learning to Transform for Generalizable Instance-wise Invariance
by: Singhal, Utkarsh, et al.
Published: (2023)
by: Singhal, Utkarsh, et al.
Published: (2023)
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
by: Adhane, Gereziher, et al.
Published: (2024)
by: Adhane, Gereziher, et al.
Published: (2024)
Instance-wise Supervision-level Optimization in Active Learning
by: Matsuo, Shinnosuke, et al.
Published: (2025)
by: Matsuo, Shinnosuke, et al.
Published: (2025)
Continual Learning of Achieving Forgetting-free and Positive Knowledge Transfer
by: Wang, Zhi, et al.
Published: (2026)
by: Wang, Zhi, et al.
Published: (2026)
Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing
by: Hong, Inpyo, et al.
Published: (2024)
by: Hong, Inpyo, et al.
Published: (2024)
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
by: Wang, Hu, et al.
Published: (2023)
by: Wang, Hu, et al.
Published: (2023)
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
by: Yu, Haonan, et al.
Published: (2024)
by: Yu, Haonan, et al.
Published: (2024)
Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
by: Li, Adrian Shuai, et al.
Published: (2023)
by: Li, Adrian Shuai, et al.
Published: (2023)
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration
by: Huang, Ning-Chi, et al.
Published: (2024)
by: Huang, Ning-Chi, et al.
Published: (2024)
From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping
by: Long, Judy, et al.
Published: (2025)
by: Long, Judy, et al.
Published: (2025)
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
by: Peng, Danni, et al.
Published: (2025)
by: Peng, Danni, et al.
Published: (2025)
Class-wise Balancing Data Replay for Federated Class-Incremental Learning
by: Qi, Zhuang, et al.
Published: (2025)
by: Qi, Zhuang, et al.
Published: (2025)
Multi-Level Knowledge Distillation and Dynamic Self-Supervised Learning for Continual Learning
by: Kim, Taeheon, et al.
Published: (2025)
by: Kim, Taeheon, et al.
Published: (2025)
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
by: Fang, Zihan, et al.
Published: (2025)
by: Fang, Zihan, et al.
Published: (2025)
Distilling the Knowledge in Data Pruning
by: Ben-Baruch, Emanuel, et al.
Published: (2024)
by: Ben-Baruch, Emanuel, et al.
Published: (2024)
Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning
by: Li, Linjie, et al.
Published: (2026)
by: Li, Linjie, et al.
Published: (2026)
Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback
by: Kordzanganeh, Mo, et al.
Published: (2024)
by: Kordzanganeh, Mo, et al.
Published: (2024)
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning
by: Lin, Hangyu, et al.
Published: (2024)
by: Lin, Hangyu, et al.
Published: (2024)
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
by: Xu, Kunlun, et al.
Published: (2025)
by: Xu, Kunlun, et al.
Published: (2025)
One-shot Federated Learning via Synthetic Distiller-Distillate Communication
by: Zhang, Junyuan, et al.
Published: (2024)
by: Zhang, Junyuan, et al.
Published: (2024)
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
by: Tong, Shuo, et al.
Published: (2025)
by: Tong, Shuo, et al.
Published: (2025)
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
by: Lan, Mengcheng, et al.
Published: (2024)
by: Lan, Mengcheng, et al.
Published: (2024)
Similar Items
-
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
by: Uddin, Mostofa Rafid, et al.
Published: (2024) -
Unsupervised SE(3) Disentanglement for in situ Macromolecular Morphology Identification from Cryo-Electron Tomography
by: Uddin, Mostofa Rafid, et al.
Published: (2026) -
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
by: Uddin, Mostofa Rafid, et al.
Published: (2025) -
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
by: Wu, Wenyuan, et al.
Published: (2025) -
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
by: Zhang, Qifan, et al.
Published: (2024)