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Continual Learning

1895 directly classified papers

Papers per year

Papers

Phased Instruction Fine-Tuning for Large Language Models ACL 2024
Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus ACL 2024
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation ACL 2024
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024
Efficient Continual Pre-training for Building Domain Specific Large Language Models ACL 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators AISTATS 2024
Model Editing at Scale leads to Gradual and Catastrophic Forgetting ACL 2024
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech EMNLP 2024
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning WACV 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos WACV 2024
Online Class-Incremental Learning for Real-World Food Image Classification WACV 2024
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation ACL 2024
Continual Atlas-Based Segmentation of Prostate MRI WACV 2024
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models NIPS 2024
Non-compositional Expression Generation and its Continual Learning ACL 2024
TL-CL: Task And Language Incremental Continual Learning EMNLP 2024
Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024
Belief Revision: The Adaptability of Large Language Models Reasoning EMNLP 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024