Optimization

A Universal Class of Sharpness-Aware Minimization Algorithms ICML 2024 AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes EACL 2024 AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop UAI 2024 AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning NAACL 2024 Automated Design of Affine Maximizer Mechanisms in Dynamic Settings AAAI 2024 Automated Loss function Search for Class-imbalanced Node Classification ICML 2024 Automatically Learning Hybrid Digital Twins of Dynamical Systems NeurIPS 2024 Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning AAAI 2024 Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation IJCAI 2024 Automatic Engineering of Long Prompts ACL 2024 Automatic Functional Differentiation in JAX ICLR 2024 Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft CVPR 2024 AutoMix: Automatically Mixing Language Models NeurIPS 2024 Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery AAAI 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments NeurIPS 2024 A World CLASSE Student Summary Corpus NAACL 2024 BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack NeurIPS 2024 BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency CoNLL 2024 Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency ICLR 2024 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting NeurIPS 2024 Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024 Back to the Stats: Rescuing Low Resource Neural Machine Translation with Statistical Methods EMNLP 2024 BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NeurIPS 2024 Balanced Data Sampling for Language Model Training with Clustering ACL 2024