Skip to content
conftrace_

iterative learning

33 papers

Explore in graph

Co-occurring keywords · papers mentioning both

large language model (5) in-context learning (3) knowledge graph (2) generative model (2) graph neural network (2) neural network (2) deep learning (2) automatic speech recognition (2) data augmentation (2) uncertainty quantification (2)

Papers

Bidirectional Spoken-Written Text Conversion with Large Language Models Interspeech 2025 Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models MLHC 2025 IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation ICLR 2025 VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding CVPR 2025 CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024 Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum AAAI 2024 Identifying while Learning for Document Event Causality Identification ACL 2024 Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024 Iterative Regularized Policy Optimization with Imperfect Demonstrations ICML 2024 LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 UQ-Guided Hyperparameter Optimization for Iterative Learners NeurIPS 2024 Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection AAAI 2023 Iteratively Improving Speech Recognition and Voice Conversion Interspeech 2023 Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction EMNLP 2022 Iterative Stratified Testing and Measurement for Automated Model Updates EMNLP 2022 Motivating Physical Activity via Competitive Human-Robot Interaction CoRL 2021 Bayesian Optimization for Iterative Learning NeurIPS 2020 Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract) AAAI 2020 Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing CoRL 2020 IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks WACV 2020 McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020 Concept Extraction and Prerequisite Relation Learning from Educational Data AAAI 2019 Improving Open Information Extraction via Iterative Rank-Aware Learning ACL 2019 Invert to Learn to Invert NeurIPS 2019