:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zheng, Junhao, Wang, Ruiyan, Zhang, Chongzhi, Feng, Huawen, Ma, Qianli
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.10063
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural-Symbolic Message Passing with Dynamic Pruning
by: Zhang, Chongzhi, et al.
Published: (2025)

Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
by: Liu, Junlong, et al.
Published: (2024)

Conditional Logical Message Passing Transformer for Complex Query Answering
by: Zhang, Chongzhi, et al.
Published: (2024)

Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer
by: Zheng, Junhao, et al.
Published: (2024)

Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
by: Zheng, Junhao, et al.
Published: (2023)

Can LLMs Learn New Concepts Incrementally without Forgetting?
by: Zheng, Junhao, et al.
Published: (2024)

Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
by: Zhang, Chongzhi, et al.
Published: (2024)

Incremental Sequence Labeling: A Tale of Two Shifts
by: Qiu, Shengjie, et al.
Published: (2024)

Spurious Forgetting in Continual Learning of Language Models
by: Zheng, Junhao, et al.
Published: (2025)

Towards Lifelong Learning of Large Language Models: A Survey
by: Zheng, Junhao, et al.
Published: (2024)

Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning
by: Zhang, Zhen, et al.
Published: (2026)

Class-wise Balancing Data Replay for Federated Class-Incremental Learning
by: Qi, Zhuang, et al.
Published: (2025)

Balanced Online Class-Incremental Learning via Dual Classifiers
by: Wen, Shunjie, et al.
Published: (2025)

Constructing Enhanced Mutual Information for Online Class-Incremental Learning
by: Zhang, Huan, et al.
Published: (2024)

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
by: Li, Boyuan, et al.
Published: (2025)

When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning
by: Zhang, Zheng, et al.
Published: (2026)

A Unified Shape-Aware Foundation Model for Time Series Classification
by: Liu, Zhen, et al.
Published: (2026)

Towards Realistic Class-Incremental Learning with Free-Flow Increments
by: Xu, Zhiming, et al.
Published: (2026)

Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning
by: Ma, Jinge, et al.
Published: (2026)

Annotation-Free Class-Incremental Learning
by: Kuchibhotla, Hari Chandana, et al.
Published: (2025)

Class Incremental Learning for Algorithm Selection
by: Nemeth, Mate Botond, et al.
Published: (2025)

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation
by: Wu, Zhiyuan, et al.
Published: (2024)

Autoencoder-Based Hybrid Replay for Class-Incremental Learning
by: Nori, Milad Khademi, et al.
Published: (2025)

Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023)

Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
by: Qiu, Zihuan, et al.
Published: (2025)

Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning
by: Zhao, Haifeng, et al.
Published: (2024)

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
by: Chen, Huitong, et al.
Published: (2025)

Few-Shot Class-Incremental Learning with Prior Knowledge
by: Jiang, Wenhao, et al.
Published: (2024)

Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
by: Wu, Yichen, et al.
Published: (2025)

Inductive Graph Few-shot Class Incremental Learning
by: Li, Yayong, et al.
Published: (2024)

Federated Class-Incremental Learning with Hierarchical Generative Prototypes
by: Salami, Riccardo, et al.
Published: (2024)

Joint Input and Output Coordination for Class-Incremental Learning
by: Wang, Shuai, et al.
Published: (2024)

Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
by: Zhao, Binyu, et al.
Published: (2026)

Future-Proofing Class-Incremental Learning
by: Jodelet, Quentin, et al.
Published: (2024)

Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
by: Li, Depeng, et al.
Published: (2024)

TAAM:Inductive Graph-Class Incremental Learning with Task-Aware Adaptive Modulation
by: Liu, Jingtao, et al.
Published: (2026)

Stable Routing for Mixture-of-Experts in Class-Incremental Learning
by: Guo, Zirui, et al.
Published: (2026)

PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning
by: Yue, Xianghu, et al.
Published: (2025)

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
by: Fischer, Tom, et al.
Published: (2024)