conftrace_

continual learning

1,419 papers

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Also known as

CL

Co-occurring keywords · papers mentioning both

catastrophic forgetting (701) knowledge distillation (176) class-incremental learning (132) representation learning (108) domain adaptation (91) neural network (78) incremental learning (74) online learning (72) transfer learning (68) few-shot learning (67)

Papers

Unveiling and Addressing Pseudo Forgetting in Large Language Models ACL 2025 Vision and Language Synergy for Rehearsal Free Continual Learning ICLR 2025 Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models AAAI 2025 Weight Factorization and Centralization for Continual Learning in Speech Recognition Interspeech 2025 When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025 Where is the Truth? The Risk of Getting Confounded in a Continual World ICML 2025 ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think ICML 2025 Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024 Adaptive neural network based control approach for building energy control under changing environmental conditions L4DC 2024 Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning CVPR 2024 Adaptive Visual Scene Understanding: Incremental Scene Graph Generation NeurIPS 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024 Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning ICLR 2024 Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NeurIPS 2024 An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024 An Effective Dynamic Gradient Calibration Method for Continual Learning ICML 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning NeurIPS 2024 An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction ACL 2024 A Parameter-efficient Language Extension Framework for Multilingual ASR Interspeech 2024 Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024 A Probabilistic Framework for Modular Continual Learning ICLR 2024 A Statistical Theory of Regularization-Based Continual Learning ICML 2024 A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning NeurIPS 2024 A Topology-aware Graph Coarsening Framework for Continual Graph Learning NeurIPS 2024 Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples AAAI 2024