{"total":227,"rows":[{"id":"2112.08654","title":"Learning to Prompt for Continual Learning","created":"2021-12-16","cited_by_count":944,"area":null},{"id":"2302.00487","title":"A Comprehensive Survey of Continual Learning: Theory, Method and Application","created":"2023-01-31","cited_by_count":872,"area":null},{"id":"2204.04799","title":"DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning","created":"2022-04-10","cited_by_count":642,"area":null},{"id":"2305.12827","title":"Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models","created":"2023-05-22","cited_by_count":221,"area":null},{"id":"2302.03241","title":"Continual Pre-training of Language Models","created":"2023-02-07","cited_by_count":198,"area":null},{"id":"2301.09785","title":"Transformer-Patcher: One Mistake worth One Neuron","created":"2023-01-24","cited_by_count":197,"area":null},{"id":"2208.05592","title":"Patching open-vocabulary models by interpolating weights","created":"2022-08-10","cited_by_count":190,"area":null},{"id":"2110.07560","title":"Composable Sparse Fine-Tuning for Cross-Lingual Transfer","created":"2021-10-14","cited_by_count":144,"area":null},{"id":"2207.13243","title":"Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks","created":"2022-07-27","cited_by_count":129,"area":null},{"id":"2211.12701","title":"Continual Learning of Natural Language Processing Tasks: A Survey","created":"2022-11-23","cited_by_count":83,"area":null},{"id":"2302.11529","title":"Modular Deep Learning","created":"2023-02-22","cited_by_count":83,"area":null},{"id":"2211.02633","title":"A Theoretical Study on Solving Continual Learning","created":"2022-11-04","cited_by_count":80,"area":null},{"id":"2403.05175","title":"Continual Learning and Catastrophic Forgetting","created":"2024-03-08","cited_by_count":77,"area":null},{"id":"2307.09218","title":"A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning","created":"2023-07-16","cited_by_count":69,"area":null},{"id":"2110.11526","title":"Wide Neural Networks Forget Less Catastrophically","created":"2021-10-21","cited_by_count":64,"area":null},{"id":"2310.08915","title":"Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs","created":"2023-10-13","cited_by_count":61,"area":null},{"id":"2403.08350","title":"CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model","created":"2024-03-13","cited_by_count":61,"area":"mllm"},{"id":"2204.03634","title":"Class-Incremental Learning with Strong Pre-trained Models","created":"2022-04-07","cited_by_count":60,"area":null},{"id":"2109.11369","title":"Recent Advances of Continual Learning in Computer Vision: An Overview","created":"2021-09-23","cited_by_count":55,"area":null},{"id":"2403.18886","title":"Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning","created":"2024-03-27","cited_by_count":53,"area":null},{"id":"2103.13558","title":"Efficient Feature Transformations for Discriminative and Generative Continual Learning","created":"2021-03-25","cited_by_count":50,"area":null},{"id":"2404.00781","title":"Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning","created":"2024-03-31","cited_by_count":50,"area":null},{"id":"2110.00296","title":"Powerpropagation: A sparsity inducing weight reparameterisation","created":"2021-10-01","cited_by_count":49,"area":null},{"id":"2308.15827","title":"Introducing Language Guidance in Prompt-based Continual Learning","created":"2023-08-30","cited_by_count":49,"area":null},{"id":"2202.00275","title":"Architecture Matters in Continual Learning","created":"2022-02-01","cited_by_count":46,"area":null},{"id":"2305.11488","title":"AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning","created":"2023-05-19","cited_by_count":46,"area":null},{"id":"2103.01133","title":"Posterior Meta-Replay for Continual Learning","created":"2021-03-01","cited_by_count":45,"area":null},{"id":"2212.04842","title":"PIVOT: Prompting for Video Continual Learning","created":"2022-12-09","cited_by_count":45,"area":null},{"id":"2301.10884","title":"Break It Down: Evidence for Structural Compositionality in Neural Networks","created":"2023-01-26","cited_by_count":44,"area":null},{"id":"2203.04640","title":"Memory Efficient Continual Learning with Transformers","created":"2022-03-09","cited_by_count":43,"area":null},{"id":"2207.06543","title":"CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One","created":"2022-07-13","cited_by_count":43,"area":null},{"id":"2404.08978","title":"Incremental Residual Concept Bottleneck Models","created":"2024-04-13","cited_by_count":43,"area":null},{"id":"2103.06460","title":"Recent Advances on Neural Network Pruning at Initialization","created":"2021-03-11","cited_by_count":41,"area":null},{"id":"2306.14775","title":"Parameter-Level Soft-Masking for Continual Learning","created":"2023-06-26","cited_by_count":40,"area":null},{"id":"2209.07529","title":"On the Soft-Subnetwork for Few-shot Class Incremental Learning","created":"2022-09-15","cited_by_count":37,"area":null},{"id":"2111.15422","title":"Hierarchical Prototype Networks for Continual Graph Representation Learning","created":"2021-11-30","cited_by_count":28,"area":null},{"id":"2211.10445","title":"Building a Subspace of Policies for Scalable Continual Learning","created":"2022-11-18","cited_by_count":28,"area":null},{"id":"2306.12646","title":"Learnability and Algorithm for Continual Learning","created":"2023-06-22","cited_by_count":28,"area":null},{"id":"2107.05757","title":"Kernel Continual Learning","created":"2021-07-12","cited_by_count":27,"area":null},{"id":"2208.09734","title":"A Multi-Head Model for Continual Learning via Out-of-Distribution Replay","created":"2022-08-20","cited_by_count":27,"area":null},{"id":"2106.05390","title":"Optimizing Reusable Knowledge for Continual Learning via Metalearning","created":"2021-06-09","cited_by_count":25,"area":null},{"id":"2201.00042","title":"Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments","created":"2021-12-31","cited_by_count":25,"area":null},{"id":"2308.13324","title":"ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis","created":"2023-08-25","cited_by_count":25,"area":null},{"id":"2308.12462","title":"Overcoming Generic Knowledge Loss with Selective Parameter Update","created":"2023-08-23","cited_by_count":23,"area":null},{"id":"2212.11110","title":"Lifelong Reinforcement Learning with Modulating Masks","created":"2022-12-21","cited_by_count":22,"area":null},{"id":"2303.09447","title":"Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning","created":"2023-03-16","cited_by_count":22,"area":null},{"id":"2203.09450","title":"Continual Learning Based on OOD Detection and Task Masking","created":"2022-03-17","cited_by_count":21,"area":null},{"id":"2402.11565","title":"Continual Learning on Graphs: Challenges, Solutions, and Opportunities","created":"2024-02-18","cited_by_count":21,"area":null},{"id":"2207.04543","title":"Challenging Common Assumptions about Catastrophic Forgetting","created":"2022-07-10","cited_by_count":20,"area":null},{"id":"2311.14028","title":"Continual Learning of Diffusion Models with Generative Distillation","created":"2023-11-23","cited_by_count":20,"area":"diffusion"},{"id":"2112.02805","title":"Forward Compatible Training for Large-Scale Embedding Retrieval Systems","created":"2021-12-06","cited_by_count":19,"area":null},{"id":"2203.06514","title":"Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations","created":"2022-03-12","cited_by_count":19,"area":null},{"id":"2309.15048","title":"Class Incremental Learning via Likelihood Ratio Based Task Prediction","created":"2023-09-26","cited_by_count":19,"area":null},{"id":"2202.09318","title":"DataMUX: Data Multiplexing for Neural Networks","created":"2022-02-18","cited_by_count":18,"area":null},{"id":"2202.09826","title":"Continual Learning Beyond a Single Model","created":"2022-02-20","cited_by_count":18,"area":null},{"id":"2205.15171","title":"Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks","created":"2022-05-30","cited_by_count":18,"area":null},{"id":"2303.08207","title":"Is forgetting less a good inductive bias for forward transfer?","created":"2023-03-14","cited_by_count":18,"area":null},{"id":"2402.12987","title":"Towards Robust Graph Incremental Learning on Evolving Graphs","created":"2024-02-20","cited_by_count":18,"area":null},{"id":"2506.21872","title":"A Survey of Continual Reinforcement Learning","created":"2025-06-27","cited_by_count":18,"area":"deeprl"},{"id":"2208.04952","title":"Continual Prune-and-Select: Class-incremental learning with specialized subnetworks","created":"2022-08-09","cited_by_count":17,"area":null},{"id":"2106.12772","title":"Task-agnostic Continual Learning with Hybrid Probabilistic Models","created":"2021-06-24","cited_by_count":16,"area":null},{"id":"2404.00417","title":"Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation","created":"2024-03-30","cited_by_count":16,"area":"distill"},{"id":"2502.02797","title":"Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting","created":"2025-02-05","cited_by_count":16,"area":null},{"id":"2504.02620","title":"Efficient Model Editing with Task-Localized Sparse Fine-tuning","created":"2025-04-03","cited_by_count":16,"area":null},{"id":"2409.02628","title":"(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models","created":"2024-09-04","cited_by_count":15,"area":null},{"id":"2203.02026","title":"Provable and Efficient Continual Representation Learning","created":"2022-03-03","cited_by_count":14,"area":null},{"id":"2203.06852","title":"Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions","created":"2022-03-14","cited_by_count":14,"area":null},{"id":"2211.15335","title":"You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets","created":"2022-11-28","cited_by_count":14,"area":null},{"id":"2312.02829","title":"MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition","created":"2023-12-05","cited_by_count":14,"area":"mechinterp"},{"id":"2401.13200","title":"Topology-aware Embedding Memory for Continual Learning on Expanding Networks","created":"2024-01-24","cited_by_count":14,"area":null},{"id":"2103.01636","title":"Sparse Training Theory for Scalable and Efficient Agents","created":"2021-03-02","cited_by_count":13,"area":null},{"id":"2103.04032","title":"CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks","created":"2021-03-06","cited_by_count":12,"area":null},{"id":"2407.08609","title":"BiasPruner: Debiased Continual Learning for Medical Image Classification","created":"2024-07-11","cited_by_count":12,"area":null},{"id":"2105.03343","title":"Adapting by Pruning: A Case Study on BERT","created":"2021-05-07","cited_by_count":11,"area":null},{"id":"2206.07996","title":"Continual Learning with Guarantees via Weight Interval Constraints","created":"2022-06-16","cited_by_count":11,"area":null},{"id":"2208.14307","title":"Beyond Supervised Continual Learning: a Review","created":"2022-08-30","cited_by_count":11,"area":null},{"id":"2305.18444","title":"Continual Task Allocation in Meta-Policy Network via Sparse Prompting","created":"2023-05-29","cited_by_count":11,"area":null},{"id":"2306.12619","title":"Class-Incremental Learning based on Label Generation","created":"2023-06-22","cited_by_count":11,"area":null},{"id":"2503.12745","title":"ProtoDepth: Unsupervised Continual Depth Completion with Prototypes","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2506.14811","title":"Self-Composing Policies for Scalable Continual Reinforcement Learning","created":"2025-06-04","cited_by_count":11,"area":"deeprl"},{"id":"2104.12501","title":"Communication-Efficient and Personalized Federated Lottery Ticket Learning","created":"2021-04-26","cited_by_count":10,"area":null},{"id":"2112.13208","title":"Neural Network Module Decomposition and Recomposition","created":"2021-12-25","cited_by_count":10,"area":null},{"id":"2301.12467","title":"Continual Learning for Predictive Maintenance: Overview and Challenges","created":"2023-01-29","cited_by_count":10,"area":null},{"id":"2305.10997","title":"Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks","created":"2023-05-18","cited_by_count":10,"area":null},{"id":"2506.07899","title":"MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs","created":"2025-06-09","cited_by_count":10,"area":null},{"id":"2207.05742","title":"Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning","created":"2022-07-12","cited_by_count":9,"area":null},{"id":"2311.11995","title":"BrainWash: A Poisoning Attack to Forget in Continual Learning","created":"2023-11-20","cited_by_count":9,"area":null},{"id":"2110.04350","title":"FRL: Federated Rank Learning","created":"2021-10-08","cited_by_count":8,"area":null},{"id":"2110.05329","title":"Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks","created":"2021-10-11","cited_by_count":8,"area":null},{"id":"2207.09074","title":"Incremental Task Learning with Incremental Rank Updates","created":"2022-07-19","cited_by_count":8,"area":null},{"id":"2301.01211","title":"Generative appearance replay for continual unsupervised domain adaptation","created":"2023-01-03","cited_by_count":8,"area":null},{"id":"2308.14831","title":"Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates","created":"2023-08-28","cited_by_count":8,"area":null},{"id":"2406.09384","title":"Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models","created":"2024-06-13","cited_by_count":8,"area":null},{"id":"2502.17788","title":"On-device edge learning for IoT data streams: a survey","created":"2025-02-25","cited_by_count":8,"area":null},{"id":"2205.01929","title":"Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI","created":"2022-05-04","cited_by_count":7,"area":null},{"id":"2302.03534","title":"On the Limitation and Experience Replay for GNNs in Continual Learning","created":"2023-02-07","cited_by_count":7,"area":null},{"id":"2305.15591","title":"Lightweight Learner for Shared Knowledge Lifelong Learning","created":"2023-05-24","cited_by_count":7,"area":null},{"id":"2309.09550","title":"Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks","created":"2023-09-18","cited_by_count":7,"area":null},{"id":"2310.09436","title":"Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks","created":"2023-10-13","cited_by_count":7,"area":null},{"id":"2404.05555","title":"On the Convergence of Continual Learning with Adaptive Methods","created":"2024-04-08","cited_by_count":7,"area":null}],"next_cursor":"100"}