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Learning Paradigms

51 directly classified papers

Papers per year

Papers

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas ACL 2025

PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025

UPSC2M: Benchmarking Adaptive Learning from Two Million MCQ Attempts ACL 2025

Label Noise Correction via Fuzzy Learning Machine AAAI 2025

Learning Domain-Independent Heuristics for Grounded and Lifted Planning AAAI 2024

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024

Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NIPS 2024

Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions ACL 2024

A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds NIPS 2024

Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning AAAI 2024

Optimal Design for Human Preference Elicitation NIPS 2024

Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NIPS 2024

Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024

Efficient Target Propagation by Deriving Analytical Solution AAAI 2024

Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023

AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification AAAI 2023

On the Stability and Scalability of Node Perturbation Learning NIPS 2022

When are Local Queries Useful for Robust Learning? NIPS 2022

A Demonstration of Compositional, Hierarchical Interactive Task Learning AAAI 2022

Criticality-Based Advice in Reinforcement Learning (Student Abstract) AAAI 2022

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting NIPS 2022

Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning NIPS 2022