Cover Image

Compositional Program Generation for Few-Shot Systematic Generalization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Klinger, Tim, Liu, Luke, Dan, Soham, Crouse, Maxwell, Ram, Parikshit, Gray, Alexander
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What makes Models Compositional? A Theoretical View: With Supplement
by: Ram, Parikshit, et al.
Published: (2024)

Transformers Learn Faster with Semantic Focus
by: Ram, Parikshit, et al.
Published: (2025)

Learning interpretable positional encodings in transformers depends on initialization
by: Ito, Takuya, et al.
Published: (2024)

On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
by: Alam, Md Ibrahim Ibne, et al.
Published: (2024)

Quantifying artificial intelligence through algorithmic generalization
by: Ito, Takuya, et al.
Published: (2024)

Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations
by: Carrow, Stephen, et al.
Published: (2024)

Unlocking Compositional Generalization in Continual Few-Shot Learning
by: Nguyen-Lam, Phu-Quy, et al.
Published: (2026)

Few-Shot Inspired Generative Zero-Shot Learning
by: Shohag, Md Shakil Ahamed, et al.
Published: (2025)

BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection
by: Sarkar, Soham, et al.
Published: (2026)

Data Alignment for Zero-Shot Concept Generation in Dermatology AI
by: Gadgil, Soham, et al.
Published: (2024)

Are LLMs Ready for Practical Adoption for Assertion Generation?
by: Pulavarthi, Vaishnavi, et al.
Published: (2025)

FusionGen: Feature Fusion-Based Few-Shot EEG Data Generation
by: Chen, Yuheng, et al.
Published: (2025)

Modern Methods in Associative Memory
by: Krotov, Dmitry, et al.
Published: (2025)

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
by: Abdollahzadeh, Milad, et al.
Published: (2023)

Multi-Operator Few-Shot Learning for Generalization Across PDE Families
by: Li, Yile, et al.
Published: (2025)

Aspect-Based Few-Shot Learning
by: van Engeland, Tim, et al.
Published: (2024)

Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
by: Ding, Pengfei, et al.
Published: (2024)

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
by: Yuan, Yuan, et al.
Published: (2024)

Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
by: Tang, Runze, et al.
Published: (2026)

FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)

Deep RL With Information Constrained Policies: Generalization in Continuous Control
by: Malloy, Tailia, et al.
Published: (2020)

WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
by: Jia, Jinghan, et al.
Published: (2024)

Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)

AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation
by: Pulavarthi, Vaishnavi, et al.
Published: (2024)

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
by: Tang, Xinyu, et al.
Published: (2023)

Latent Iterative Refinement Flow: A Geometric Constrained Approach for Few-Shot Generation
by: Li, Songtao, et al.
Published: (2025)

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond
by: Gu, Shangding, et al.
Published: (2025)

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
by: Hu, Shengchao, et al.
Published: (2024)

Few-Shot Detection of Machine-Generated Text using Style Representations
by: Soto, Rafael Rivera, et al.
Published: (2024)

Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning
by: Kang, Pixi, et al.
Published: (2025)

Dense Associative Memory with Epanechnikov Energy
by: Hoover, Benjamin, et al.
Published: (2025)

On Learning Representations for Tabular Data Distillation
by: Kang, Inwon, et al.
Published: (2025)

Provably Improving Generalization of Few-Shot Models with Synthetic Data
by: Nguyen, Lan-Cuong, et al.
Published: (2025)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)

Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance
by: Wang, Zhe, et al.
Published: (2024)

Prompt-Tuning Bandits: Enabling Few-Shot Generalization for Efficient Multi-Task Offline RL
by: Rietz, Finn, et al.
Published: (2025)

Verbalized Representation Learning for Interpretable Few-Shot Generalization
by: Yang, Cheng-Fu, et al.
Published: (2024)

Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
by: Zeng, Qiuhao
Published: (2025)

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization
by: Bai, Yunwei, et al.
Published: (2026)

Dense Associative Memory Through the Lens of Random Features
by: Hoover, Benjamin, et al.
Published: (2024)