conftrace_

hyperparameter tuning

215 papers

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Co-occurring keywords

bayesian optimization (624) hyperparameter optimization (406) gaussian process (1200) model selection (456) neural network optimization (1293) regret bound (1926) text classification (6793) transfer learning (5449) acquisition function (129) large language model (13587)

Papers

Parameter-free Clipped Gradient Descent Meets Polyak NIPS 2024
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NIPS 2024
Should I try multiple optimizers when fine-tuning a pre-trained Transformer for NLP tasks? Should I tune their hyperparameters? EACL 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NIPS 2024
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice CLEAR 2024
Quantifying the Hyperparameter Sensitivity of Neural Networks for Character-level Sequence-to-Sequence Tasks EACL 2024
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements NIPS 2024
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models ACL 2024
Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024
HyperFast: Instant Classification for Tabular Data AAAI 2024
Improving Equivariant Model Training via Constraint Relaxation NIPS 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation ACL 2024
Multilevel Analysis of Biomedical Domain Adaptation of Llama 2: What Matters the Most? A Case Study ACL 2024
Towards safe multi-task Bayesian optimization L4DC 2024
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NIPS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
Pretrained Optimization Model for Zero-Shot Black Box Optimization NIPS 2024
Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition INTERSPEECH 2024
Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification CVPR 2024
TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models SEMEVAL 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024
Show Your Work with Confidence: Confidence Bands for Tuning Curves NAACL 2024