ICLR "continual learning" Papers
13 papers found
ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation
Ze Yang, Shichao Dong, Ruibo Li et al.
ICLR 2025poster
Boosting Multiple Views for pretrained-based Continual Learning
Quyen Tran, Tung Lam Tran, Khanh Doan et al.
ICLR 2025poster
4
citations
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun et al.
ICLR 2025posterarXiv:2503.04655
1
citations
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
Hyunji Jung, Hanseul Cho, Chulhee Yun
ICLR 2025posterarXiv:2504.12712
4
citations
Coreset Selection via Reducible Loss in Continual Learning
Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi et al.
ICLR 2025poster
12
citations
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa, Makoto Yamada, Han Bao et al.
ICLR 2025oralarXiv:2405.14650
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun et al.
ICLR 2025posterarXiv:2410.10870
3
citations
Self-Updatable Large Language Models by Integrating Context into Model Parameters
Yu Wang, Xinshuang Liu, Xiusi Chen et al.
ICLR 2025posterarXiv:2410.00487
5
citations
Semantic Aware Representation Learning for Lifelong Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
ICLR 2025poster
STAR: Stability-Inducing Weight Perturbation for Continual Learning
Masih Eskandar, Tooba Imtiaz, Davin Hill et al.
ICLR 2025posterarXiv:2503.01595
5
citations
Theory on Mixture-of-Experts in Continual Learning
Hongbo Li, Sen Lin, Lingjie Duan et al.
ICLR 2025posterarXiv:2406.16437
40
citations
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Gangwei Jiang, caigao jiang, Zhaoyi Li et al.
ICLR 2025posterarXiv:2502.11019
8
citations
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
JING WANG, Wonho Bae, Jiahong Chen et al.
ICLR 2025posterarXiv:2412.14301
7
citations