Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning

6 February 2021

Papers citing "Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning"

10 / 10 papers shown

Title
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text Andrei Jarca Florinel-Alin Croitoru Radu Tudor Ionescu 48 0 0 18 Feb 2025
LeanAgent: Lifelong Learning for Formal Theorem Proving Adarsh Kumarappan Mo Tiwari Peiyang Song Robert Joseph George Chaowei Xiao Anima Anandkumar CLL LLMAG LRM 70 8 0 08 Oct 2024
Data Debugging is NP-hard for Classifiers Trained with SGD Zizheng Guo Pengyu Chen Yanzhang Fu Xuelong Li 28 0 0 02 Aug 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 48 6 0 15 Mar 2024
Curriculum-Guided Abstractive Summarization Sajad Sotudeh Hanieh Deilamsalehy Franck Dernoncourt Nazli Goharian 32 1 0 02 Feb 2023
High-Resource Methodological Bias in Low-Resource Investigations Maartje ter Hoeve David Grangier Natalie Schluter 33 2 0 14 Nov 2022
Adaptive Multi-Corpora Language Model Training for Speech Recognition Yingyi Ma Zhe Liu Xuedong Zhang 31 2 0 09 Nov 2022
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction Hui-Syuan Yeh Thomas Lavergne Pierre Zweigenbaum 19 10 0 21 Apr 2022
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories Ziquan Fang Yuntao Du Xinjun Zhu Lu Chen Yunjun Gao Christian S. Jensen AI4TS 11 59 0 17 Dec 2021
On Training Instance Selection for Few-Shot Neural Text Generation Ernie Chang Xiaoyu Shen Hui-Syuan Yeh Vera Demberg 24 40 0 07 Jul 2021