continual learning
Also known as lifelong learning, this refers to the ability of AI systems to learn from new data continuously while retaining previously acquired knowledge, addressing challenges like catastrophic forgetting.
- Activation-Informed Merging of Large Language Models
- AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
- Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
- Auto-Compressing Networks
- Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
- COOPERA: Continual Open-Ended Human-Robot Assistance
- CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
- Compact Memory for Continual Logistic Regression
- Continual Knowledge Adaptation for Reinforcement Learning
- Continuous Subspace Optimization for Continual Learning
- DOTA: Distributional Test-time Adaptation of Vision-Language Models
- DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
- Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
- Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning
- EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents
- Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
- Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
- Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
- Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning
- Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
- Learning Expandable and Adaptable Representations for Continual Learning
- Learning Multi-Source and Robust Representations for Continual Learning
- LoRA vs Full Fine-tuning: An Illusion of Equivalence
- Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
- Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
- Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
- Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
- Nested Learning: The Illusion of Deep Learning Architectures
- OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation
- Optimal Rates in Continual Linear Regression via Increasing Regularization
- Recurrent Memory for Online Interdomain Gaussian Processes
- Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
- Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
- Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning
- Temporal-Difference Variational Continual Learning
- The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis
- Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
- Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning