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adaptive learning

83 papers

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large language model (12755) educational technology (106) neural network (6616) reinforcement learning (4122) representation learning (6174) knowledge distillation (3680) online learning (1770) language learning (156) regret bound (1918) personalized learning (58)

Papers

Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference NIPS 2023
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation EMNLP 2023
Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition INTERSPEECH 2023
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation ICCV 2023
Reconciling Adaptivity and Task Orientation in the Student Dashboard of an Intelligent Language Tutoring System ACL 2023
QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition ACL 2023
Adaptive and Personalized Exercise Generation for Online Language Learning ACL 2023
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? AAAI 2023
Adaptive Graph Convolutional Subspace Clustering CVPR 2023
Generalization in the Face of Adaptivity: A Bayesian Perspective NIPS 2023
Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023
Learn With Martian: A Tool For Creating Assignments That Can Write And Re-Write Themselves EACL 2023
Using Learning Analytics for Adaptive Exercise Generation ACL 2023
FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation AAAI 2022
Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems JMLR 2022
Faoi Gheasa an adaptive game for Irish language learning ACL 2022
Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing ACL 2022
HaleLab_NITK@SMM4H’22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data COLING 2022
On the Statistical Benefits of Curriculum Learning ICML 2022
Episodic Policy Gradient Training AAAI 2022
AdaFocal: Calibration-aware Adaptive Focal Loss NIPS 2022
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations EMNLP 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NIPS 2022
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift ICML 2021
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution WACV 2021