Meta-Learning

A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 A Meta-Learning Perspective on Transformers for Causal Language Modeling ACL 2024 Any-Way Meta Learning AAAI 2024 A Unified and General Framework for Continual Learning ICLR 2024 A Unified Framework for Discovering Discrete Symmetries AISTATS 2024 AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024 Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records NeurIPS 2024 Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024 Beyond task diversity: provable representation transfer for sequential multitask linear bandits NeurIPS 2024 Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning ICLR 2024 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024 BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024 Boosting Model Resilience via Implicit Adversarial Data Augmentation IJCAI 2024 BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation COLING 2024 Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NeurIPS 2024 Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary ACL 2024 Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence CoNLL 2024 CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions NAACL 2024 CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NeurIPS 2024 Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae AAAI 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs EMNLP 2024 Context-Aware Meta-Learning ICLR 2024