CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
Fuente:
arXiv
Saved in:
| Main Authors: | Pandey, Sankalp, Nguyen, Xuan Bac, Borys, Nicholas, Churchill, Hugh, Luu, Khoa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
$φ$-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
by: Nguyen, Hoang-Quan, et al.
Published: (2025)
by: Nguyen, Hoang-Quan, et al.
Published: (2025)
OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials
by: Pandey, Sankalp, et al.
Published: (2026)
by: Pandey, Sankalp, et al.
Published: (2026)
QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery
by: Nguyen, Xuan-Bac, et al.
Published: (2026)
by: Nguyen, Xuan-Bac, et al.
Published: (2026)
Quantum Visual Feature Encoding Revisited
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
Quantum Vision Clustering
by: Nguyen, Xuan Bac, et al.
Published: (2023)
by: Nguyen, Xuan Bac, et al.
Published: (2023)
QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling
by: Nguyen, Hoang-Quan, et al.
Published: (2026)
by: Nguyen, Hoang-Quan, et al.
Published: (2026)
Hierarchical Quantum Control Gates for Functional MRI Understanding
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
by: Nguyen, Hoang-Quan, et al.
Published: (2025)
by: Nguyen, Hoang-Quan, et al.
Published: (2025)
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
by: Nguyen, Xuan-Bac, et al.
Published: (2025)
by: Nguyen, Xuan-Bac, et al.
Published: (2025)
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
COBRA: A Continual Learning Approach to Vision-Brain Understanding
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
by: Serna-Aguilera, Manuel, et al.
Published: (2024)
by: Serna-Aguilera, Manuel, et al.
Published: (2024)
Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI
by: Nguyen, Xuan-Bac, et al.
Published: (2023)
by: Nguyen, Xuan-Bac, et al.
Published: (2023)
BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
by: Nguyen, Xuan-Bac, et al.
Published: (2024)
Retrospective Feature Estimation for Continual Learning
by: Nguyen, Nghia D., et al.
Published: (2024)
by: Nguyen, Nghia D., et al.
Published: (2024)
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
by: Nguyen, Hoang-Quan, et al.
Published: (2023)
by: Nguyen, Hoang-Quan, et al.
Published: (2023)
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
by: Truong, Thanh-Dat, et al.
Published: (2025)
by: Truong, Thanh-Dat, et al.
Published: (2025)
$ϕ$-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models
by: Truong, Thanh-Dat, et al.
Published: (2026)
by: Truong, Thanh-Dat, et al.
Published: (2026)
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
by: Nguyen, Trong-Thuan, et al.
Published: (2023)
by: Nguyen, Trong-Thuan, et al.
Published: (2023)
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
by: Khan, Hikmat, et al.
Published: (2024)
by: Khan, Hikmat, et al.
Published: (2024)
Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)
by: Kim, Taehoon, et al.
Published: (2023)
IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
by: Nguyen, Dang Nha, et al.
Published: (2025)
by: Nguyen, Dang Nha, et al.
Published: (2025)
Live and Learn: Continual Action Clustering with Incremental Views
by: Yan, Xiaoqiang, et al.
Published: (2024)
by: Yan, Xiaoqiang, et al.
Published: (2024)
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
by: Nguyen, Hoang-Quan, et al.
Published: (2024)
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
by: Truong, Thanh-Dat, et al.
Published: (2023)
by: Truong, Thanh-Dat, et al.
Published: (2023)
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
by: Magistri, Simone, et al.
Published: (2024)
by: Magistri, Simone, et al.
Published: (2024)
Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective
by: Truong, Thanh-Dat, et al.
Published: (2023)
by: Truong, Thanh-Dat, et al.
Published: (2023)
From Visual Explanations to Counterfactual Explanations with Latent Diffusion
by: Luu, Tung, et al.
Published: (2025)
by: Luu, Tung, et al.
Published: (2025)
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
by: Truong, Thanh-Dat, et al.
Published: (2022)
by: Truong, Thanh-Dat, et al.
Published: (2022)
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024)
by: Murata, Naoki, et al.
Published: (2024)
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
by: Nguyen, Trong-Thuan, et al.
Published: (2024)
by: Nguyen, Trong-Thuan, et al.
Published: (2024)
CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning
by: Javadi, Amirhosein, et al.
Published: (2026)
by: Javadi, Amirhosein, et al.
Published: (2026)
Feature Expansion and enhanced Compression for Class Incremental Learning
by: Ferdinand, Quentin, et al.
Published: (2024)
by: Ferdinand, Quentin, et al.
Published: (2024)
Incremental Learning with Repetition via Pseudo-Feature Projection
by: Tscheschner, Benedikt, et al.
Published: (2025)
by: Tscheschner, Benedikt, et al.
Published: (2025)
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
by: Kim, Jaeill, et al.
Published: (2024)
by: Kim, Jaeill, et al.
Published: (2024)
S2IL: Structurally Stable Incremental Learning
by: Balasubramanian, S, et al.
Published: (2025)
by: Balasubramanian, S, et al.
Published: (2025)
DINTR: Tracking via Diffusion-based Interpolation
by: Nguyen, Pha, et al.
Published: (2024)
by: Nguyen, Pha, et al.
Published: (2024)
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
by: Nguyen, Thinh, et al.
Published: (2024)
by: Nguyen, Thinh, et al.
Published: (2024)
Similar Items
-
$φ$-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
by: Nguyen, Hoang-Quan, et al.
Published: (2025) -
OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials
by: Pandey, Sankalp, et al.
Published: (2026) -
QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery
by: Nguyen, Xuan-Bac, et al.
Published: (2026) -
Quantum Visual Feature Encoding Revisited
by: Nguyen, Xuan-Bac, et al.
Published: (2024) -
Quantum Vision Clustering
by: Nguyen, Xuan Bac, et al.
Published: (2023)