{"total":36,"rows":[{"id":"2207.00429","title":"Modular Lifelong Reinforcement Learning via Neural Composition","created":"2022-07-01","cited_by_count":40,"area":null},{"id":"2210.15889","title":"Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing","created":"2022-10-28","cited_by_count":35,"area":null},{"id":"2207.07730","title":"How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition","created":"2022-07-15","cited_by_count":27,"area":null},{"id":"2110.11536","title":"Neural-guided, Bidirectional Program Search for Abstraction and Reasoning","created":"2021-10-22","cited_by_count":23,"area":null},{"id":"2207.04136","title":"CompoSuite: A Compositional Reinforcement Learning Benchmark","created":"2022-07-08","cited_by_count":21,"area":null},{"id":"2101.08809","title":"PyGlove: Symbolic Programming for Automated Machine Learning","created":"2021-01-21","cited_by_count":19,"area":null},{"id":"2402.08280","title":"Pix2Code: Learning to Compose Neural Visual Concepts as Programs","created":"2024-02-13","cited_by_count":18,"area":null},{"id":"2309.13556","title":"LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning","created":"2023-09-24","cited_by_count":17,"area":null},{"id":"2406.08787","title":"A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices","created":"2024-06-13","cited_by_count":15,"area":null},{"id":"2101.03238","title":"Neurosymbolic Transformers for Multi-Agent Communication","created":"2021-01-05","cited_by_count":13,"area":null},{"id":"2206.05922","title":"From Perception to Programs: Regularize, Overparameterize, and Amortize","created":"2022-06-13","cited_by_count":13,"area":null},{"id":"2210.07024","title":"Self-explaining deep models with logic rule reasoning","created":"2022-10-13","cited_by_count":13,"area":null},{"id":"2210.14451","title":"Discovering Design Concepts for CAD Sketches","created":"2022-10-26","cited_by_count":10,"area":null},{"id":"2211.01842","title":"Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars","created":"2022-11-03","cited_by_count":9,"area":null},{"id":"2102.11137","title":"Program Synthesis Guided Reinforcement Learning for Partially Observed Environments","created":"2021-02-22","cited_by_count":8,"area":null},{"id":"2107.13132","title":"Unsupervised Learning of Neurosymbolic Encoders","created":"2021-07-28","cited_by_count":8,"area":null},{"id":"2206.13720","title":"SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries","created":"2022-06-28","cited_by_count":7,"area":null},{"id":"2208.00374","title":"Neuro-Symbolic Learning: Principles and Applications in Ophthalmology","created":"2022-07-31","cited_by_count":7,"area":null},{"id":"2210.05050","title":"Neurosymbolic Programming for Science","created":"2022-10-10","cited_by_count":7,"area":null},{"id":"2509.01398","title":"The Need for Verification in AI-Driven Scientific Discovery","created":"2025-09-01","cited_by_count":7,"area":null},{"id":"2111.15186","title":"Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis","created":"2021-11-30","cited_by_count":6,"area":null},{"id":"2209.13575","title":"Efficient Non-Parametric Optimizer Search for Diverse Tasks","created":"2022-09-27","cited_by_count":6,"area":null},{"id":"2405.15912","title":"Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction","created":"2024-05-24","cited_by_count":4,"area":null},{"id":"2107.06393","title":"Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface","created":"2021-07-04","cited_by_count":3,"area":null},{"id":"2201.05773","title":"Automated causal inference in application to randomized controlled clinical trials","created":"2022-01-15","cited_by_count":2,"area":null},{"id":"2406.00938","title":"A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI","created":"2024-06-03","cited_by_count":2,"area":null},{"id":"2407.04899","title":"Algorithmic Language Models with Neurally Compiled Libraries","created":"2024-07-06","cited_by_count":2,"area":null},{"id":"2106.06114","title":"Interpreting Expert Annotation Differences in Animal Behavior","created":"2021-06-11","cited_by_count":1,"area":null},{"id":"2211.04370","title":"NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation","created":"2022-11-08","cited_by_count":1,"area":null},{"id":"2305.16424","title":"SketchOGD: Memory-Efficient Continual Learning","created":"2023-05-25","cited_by_count":1,"area":null},{"id":"2404.09788","title":"Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations","created":"2024-04-15","cited_by_count":1,"area":null},{"id":"2110.05390","title":"Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching","created":"2021-10-11","cited_by_count":0,"area":null},{"id":"2205.04545","title":"A Probabilistic Generative Model of Free Categories","created":"2022-05-09","cited_by_count":0,"area":null},{"id":"2306.06545","title":"A Probabilistic Framework for Modular Continual Learning","created":"2023-06-11","cited_by_count":0,"area":null},{"id":"2509.01016","title":"Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction","created":"2025-08-31","cited_by_count":0,"area":null},{"id":"2609.04528","title":"Towards a universal language of concepts: A survey","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}