{"list":"other","total":70,"rows":[{"id":"1612.00796","title":"Overcoming catastrophic forgetting in neural networks","created":"2016-12-02","cited_by_count":4787},{"id":"1502.01852","title":"Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification","created":"2015-02-06","cited_by_count":3611},{"id":"1606.09282","title":"Learning without Forgetting","created":"2016-06-29","cited_by_count":2496},{"id":"1611.07725","title":"iCaRL: Incremental Classifier and Representation Learning","created":"2016-11-23","cited_by_count":2333},{"id":"2407.10671","title":"Qwen2 Technical Report","created":"2024-07-15","cited_by_count":2120},{"id":"1709.06158","title":"Matterport3D: Learning from RGB-D Data in Indoor Environments","created":"2017-09-18","cited_by_count":1376},{"id":"1904.01201","title":"Habitat: A Platform for Embodied AI Research","created":"2019-04-02","cited_by_count":1191},{"id":"1711.07280","title":"Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments","created":"2017-11-20","cited_by_count":1027},{"id":"2108.10470","title":"Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning","created":"2021-08-24","cited_by_count":998},{"id":"2302.00487","title":"A Comprehensive Survey of Continual Learning: Theory, Method and Application","created":"2023-01-31","cited_by_count":872},{"id":"1712.05474","title":"AI2-THOR: An Interactive 3D Environment for Visual AI","created":"2017-12-14","cited_by_count":869},{"id":"2109.08238","title":"Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI","created":"2021-09-16","cited_by_count":592},{"id":"2004.02857","title":"Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments","created":"2020-04-06","cited_by_count":441},{"id":"2010.07954","title":"Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding","created":"2020-10-15","cited_by_count":414},{"id":"1904.10151","title":"REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments","created":"2019-04-23","cited_by_count":333},{"id":"2310.14152","title":"Orthogonal Subspace Learning for Language Model Continual Learning","created":"2023-10-22","cited_by_count":312},{"id":"2103.17230","title":"Rainbow Memory: Continual Learning with a Memory of Diverse Samples","created":"2021-03-31","cited_by_count":273},{"id":"2110.13309","title":"History Aware Multimodal Transformer for Vision-and-Language Navigation","created":"2021-10-25","cited_by_count":271},{"id":"1907.04957","title":"Vision-and-Dialog Navigation","created":"2019-07-10","cited_by_count":250},{"id":"2402.15852","title":"NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation","created":"2024-02-24","cited_by_count":233},{"id":"2412.06224","title":"Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks","created":"2024-12-09","cited_by_count":156},{"id":"2312.02010","title":"Towards Learning a Generalist Model for Embodied Navigation","created":"2023-12-04","cited_by_count":138},{"id":"2203.02764","title":"Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation","created":"2022-03-05","cited_by_count":132},{"id":"2110.02207","title":"Waypoint Models for Instruction-guided Navigation in Continuous Environments","created":"2021-10-05","cited_by_count":129},{"id":"2305.10626","title":"Language Models Meet World Models: Embodied Experiences Enhance Language Models","created":"2023-05-18","cited_by_count":124},{"id":"2307.12907","title":"GridMM: Grid Memory Map for Vision-and-Language Navigation","created":"2023-07-24","cited_by_count":124},{"id":"2404.19245","title":"HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning","created":"2024-04-30","cited_by_count":123},{"id":"2212.04385","title":"BEVBert: Multimodal Map Pre-training for Language-guided Navigation","created":"2022-12-08","cited_by_count":122},{"id":"2003.13726","title":"Continual Learning with Node-Importance based Adaptive Group Sparse Regularization","created":"2020-03-30","cited_by_count":105},{"id":"2402.08562","title":"Higher Layers Need More LoRA Experts","created":"2024-02-13","cited_by_count":102},{"id":"2204.09667","title":"Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments","created":"2022-04-20","cited_by_count":86},{"id":"2308.07498","title":"DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation","created":"2023-08-14","cited_by_count":85},{"id":"2403.07376","title":"NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning","created":"2024-03-12","cited_by_count":79},{"id":"2311.02058","title":"LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery","created":"2023-11-03","cited_by_count":67},{"id":"2409.13682","title":"ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation","created":"2024-09-20","cited_by_count":67},{"id":"2412.09082","title":"Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method","created":"2024-12-12","cited_by_count":67},{"id":"2409.18794","title":"Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs","created":"2024-09-27","cited_by_count":62},{"id":"2403.08350","title":"CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model","created":"2024-03-13","cited_by_count":61},{"id":"2307.11984","title":"Learning Vision-and-Language Navigation from YouTube Videos","created":"2023-07-22","cited_by_count":47},{"id":"2309.04430","title":"Create Your World: Lifelong Text-to-Image Diffusion","created":"2023-09-08","cited_by_count":46},{"id":"2405.18653","title":"Recent Advances of Foundation Language Models-based Continual Learning: A Survey","created":"2024-05-28","cited_by_count":46},{"id":"2209.12241","title":"Exploring Example Influence in Continual Learning","created":"2022-09-25","cited_by_count":44},{"id":"2207.06543","title":"CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One","created":"2022-07-13","cited_by_count":43},{"id":"2307.12335","title":"Learning Navigational Visual Representations with Semantic Map Supervision","created":"2023-07-23","cited_by_count":43},{"id":"2311.14379","title":"Robot Learning in the Era of Foundation Models: A Survey","created":"2023-11-24","cited_by_count":38},{"id":"2210.03087","title":"Iterative Vision-and-Language Navigation","created":"2022-10-06","cited_by_count":35},{"id":"2506.09839","title":"OctoNav: Towards Generalist Embodied Navigation","created":"2025-06-11","cited_by_count":34},{"id":"2011.14593","title":"Incremental Learning via Rate Reduction","created":"2020-11-30","cited_by_count":31},{"id":"2402.01376","title":"LoTR: Low Tensor Rank Weight Adaptation","created":"2024-02-02","cited_by_count":29},{"id":"2107.05757","title":"Kernel Continual Learning","created":"2021-07-12","cited_by_count":27},{"id":"2311.13209","title":"Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation","created":"2023-11-22","cited_by_count":25},{"id":"2507.13019","title":"Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities","created":"2025-07-17","cited_by_count":25},{"id":"2412.13840","title":"Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey","created":"2024-12-18","cited_by_count":23},{"id":"2511.01571","title":"PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model","created":"2025-11-03","cited_by_count":18},{"id":"2503.13966","title":"FlexVLN: Flexible Adaptation for Diverse Vision-and-Language Navigation Tasks","created":"2025-03-18","cited_by_count":17},{"id":"2504.00420","title":"Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation","created":"2025-04-01","cited_by_count":14},{"id":"2506.02041","title":"Enhancing Multimodal Continual Instruction Tuning with BranchLoRA","created":"2025-05-31","cited_by_count":14},{"id":"2508.04598","title":"$NavA^3$: Understanding Any Instruction, Navigating Anywhere, Finding Anything","created":"2025-08-06","cited_by_count":14},{"id":"2403.00336","title":"Never-Ending Behavior-Cloning Agent for Robotic Manipulation","created":"2024-03-01","cited_by_count":10},{"id":"2406.17960","title":"MAGIC: Meta-Ability Guided Interactive Chain-of-Distillation for Effective-and-Efficient Vision-and-Language Navigation","created":"2024-06-25","cited_by_count":6},{"id":"2503.18684","title":"Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters","created":"2025-03-24","cited_by_count":6},{"id":"2510.16457","title":"NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation","created":"2025-10-18","cited_by_count":6},{"id":"2305.16332","title":"Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions","created":"2023-05-22","cited_by_count":4},{"id":"2506.09105","title":"MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning","created":"2025-06-10","cited_by_count":4},{"id":"2508.07406","title":"AgriVLN: Vision-and-Language Navigation for Agricultural Robots","created":"2025-08-10","cited_by_count":4},{"id":"2411.09816","title":"Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition","created":"2024-11-14","cited_by_count":3},{"id":"2603.06073","title":"Lifelong Embodied Navigation Learning","created":"2026-03-06","cited_by_count":3},{"id":"2508.10432","title":"CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation","created":"2025-08-14","cited_by_count":2},{"id":"2512.05802","title":"Bring Your Dreams to Life: Continual Text-to-Video Customization","created":"2025-12-05","cited_by_count":2},{"id":"2603.02729","title":"The power of small initialization in noisy low-tubal-rank tensor recovery","created":"2026-03-03","cited_by_count":2}],"next_cursor":null}