{"list":"other","total":62,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234},{"id":"1801.04381","title":"MobileNetV2: Inverted Residuals and Linear Bottlenecks","created":"2018-01-13","cited_by_count":4795},{"id":"1612.00796","title":"Overcoming catastrophic forgetting in neural networks","created":"2016-12-02","cited_by_count":4787},{"id":"1902.00751","title":"Parameter-Efficient Transfer Learning for NLP","created":"2019-02-02","cited_by_count":4236},{"id":"1704.04861","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","created":"2017-04-17","cited_by_count":3845},{"id":"1606.09282","title":"Learning without Forgetting","created":"2016-06-29","cited_by_count":2496},{"id":"1606.04671","title":"Progressive Neural Networks","created":"2016-06-15","cited_by_count":1361},{"id":"1802.07569","title":"Continual Lifelong Learning with Neural Networks: A Review","created":"2018-02-21","cited_by_count":1330},{"id":"1906.02530","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","created":"2019-06-06","cited_by_count":1287},{"id":"2106.10199","title":"BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models","created":"2021-06-18","cited_by_count":1245},{"id":"2112.08654","title":"Learning to Prompt for Continual Learning","created":"2021-12-16","cited_by_count":944},{"id":"2004.07211","title":"Dark Experience for General Continual Learning: a Strong, Simple Baseline","created":"2020-04-15","cited_by_count":911},{"id":"1711.05769","title":"PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning","created":"2017-11-15","cited_by_count":898},{"id":"2302.00487","title":"A Comprehensive Survey of Continual Learning: Theory, Method and Application","created":"2023-01-31","cited_by_count":872},{"id":"1801.10112","title":"Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence","created":"2018-01-30","cited_by_count":742},{"id":"1905.13260","title":"Large Scale Incremental Learning","created":"2019-05-30","cited_by_count":732},{"id":"1708.01547","title":"Lifelong Learning with Dynamically Expandable Networks","created":"2017-08-04","cited_by_count":694},{"id":"2204.04799","title":"DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning","created":"2022-04-10","cited_by_count":642},{"id":"2211.13218","title":"CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning","created":"2022-11-23","cited_by_count":450},{"id":"2010.15277","title":"Class-incremental learning: survey and performance evaluation on image classification","created":"2020-10-28","cited_by_count":449},{"id":"1908.04742","title":"Online Continual Learning with Maximally Interfered Retrieval","created":"2019-08-11","cited_by_count":379},{"id":"1611.06194","title":"Expert Gate: Lifelong Learning with a Network of Experts","created":"2016-11-18","cited_by_count":372},{"id":"2103.09762","title":"Gradient Projection Memory for Continual Learning","created":"2021-03-17","cited_by_count":348},{"id":"2207.12819","title":"S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning","created":"2022-07-26","cited_by_count":246},{"id":"2106.14413","title":"Co$^2$L: Contrastive Continual Learning","created":"2021-06-28","cited_by_count":244},{"id":"2004.00440","title":"Semantic Drift Compensation for Class-Incremental Learning","created":"2020-04-01","cited_by_count":241},{"id":"2104.05025","title":"New Insights on Reducing Abrupt Representation Change in Online Continual Learning","created":"2021-04-11","cited_by_count":219},{"id":"1910.06562","title":"Compacting, Picking and Growing for Unforgetting Continual Learning","created":"2019-10-15","cited_by_count":207},{"id":"1805.07810","title":"Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting","created":"2018-05-20","cited_by_count":201},{"id":"2404.00228","title":"InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning","created":"2024-03-30","cited_by_count":198},{"id":"2103.13885","title":"Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning","created":"2021-03-22","cited_by_count":141},{"id":"2308.11596","title":"SeamlessM4T: Massively Multilingual & Multimodal Machine Translation","created":"2023-08-22","cited_by_count":125},{"id":"2211.13131","title":"FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning","created":"2022-11-23","cited_by_count":121},{"id":"2203.06359","title":"Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning","created":"2022-03-12","cited_by_count":118},{"id":"2403.12030","title":"Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning","created":"2024-03-18","cited_by_count":117},{"id":"2201.12604","title":"Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System","created":"2022-01-29","cited_by_count":112},{"id":"1906.02425","title":"Uncertainty-guided Continual Learning with Bayesian Neural Networks","created":"2019-06-06","cited_by_count":102},{"id":"1903.04476","title":"Continual Learning via Neural Pruning","created":"2019-03-11","cited_by_count":101},{"id":"2111.11210","title":"GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning","created":"2021-11-18","cited_by_count":95},{"id":"2309.14062","title":"FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning","created":"2023-09-25","cited_by_count":87},{"id":"1909.02197","title":"Investigating Multilingual NMT Representations at Scale","created":"2019-09-05","cited_by_count":68},{"id":"2110.11526","title":"Wide Neural Networks Forget Less Catastrophically","created":"2021-10-21","cited_by_count":64},{"id":"2209.09476","title":"SparCL: Sparse Continual Learning on the Edge","created":"2022-09-20","cited_by_count":55},{"id":"1403.1687","title":"Rigid-Motion Scattering for Texture Classification","created":"2014-03-07","cited_by_count":52},{"id":"2203.16102","title":"Continual Normalization: Rethinking Batch Normalization for Online Continual Learning","created":"2022-03-30","cited_by_count":40},{"id":"2206.09117","title":"NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks","created":"2022-06-18","cited_by_count":39},{"id":"2210.06443","title":"On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning","created":"2022-10-12","cited_by_count":39},{"id":"2405.19074","title":"Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning","created":"2024-05-29","cited_by_count":33},{"id":"2305.04769","title":"BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning","created":"2023-05-08","cited_by_count":25},{"id":"1908.02984","title":"Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation","created":"2019-08-08","cited_by_count":22},{"id":"2302.11346","title":"Task-Aware Information Routing from Common Representation Space in Lifelong Learning","created":"2023-02-14","cited_by_count":22},{"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},{"id":"1808.05517","title":"Network Decoupling: From Regular to Depthwise Separable Convolutions","created":"2018-08-16","cited_by_count":18},{"id":"2301.05058","title":"Sparse Coding in a Dual Memory System for Lifelong Learning","created":"2022-12-28","cited_by_count":16},{"id":"2207.06267","title":"Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach","created":"2022-07-13","cited_by_count":13},{"id":"2206.04016","title":"SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning","created":"2022-06-08","cited_by_count":10},{"id":"2312.12722","title":"Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning","created":"2023-12-20","cited_by_count":9},{"id":"2310.08217","title":"TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion","created":"2023-10-12","cited_by_count":6},{"id":"2404.18161","title":"IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning","created":"2024-04-28","cited_by_count":4},{"id":"2405.13978","title":"Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning","created":"2024-05-22","cited_by_count":2}],"next_cursor":null}