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https://openreview.net/forum?id=IMVqPGYxyD α-PFN: In-Context Learning Entropy Search | OpenReview We show how Prior-data Fitted Networks (PFNs) can be adapted to efficiently predict Entropy Search (ES), an information-theoretic acquisition function. PFNs... context learning search openreview pfn entropy https://openreview.net/forum?id=gze7ISazsz Beyond Graph-Based Modeling for Hierarchical Neural Architecture Search | OpenReview Neural Architecture Search (NAS) seeks to automate the discovery of well-performing neural architectures. Recently, a hierarchical approach to NAS (hNAS) has... neural architecture search graph based beyond modeling hierarchical https://openreview.net/forum?id=5Lm2ghxMlp NOSBench-101: Towards Reproducible Neural Optimizer Search | OpenReview Recent advances in neural network architecture and hardware have revolutionized deep learning and made it a pervasive technology. Nonetheless, it is crucial to... optimizer search 101 towards reproducible neural https://openreview.net/forum?id=SJx9ngStPH NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search | OpenReview One-shot neural architecture search (NAS) has played a crucial role in making NAS methods computationally feasible in practice. Nevertheless, there is still a... neural architecture search one shot nas bench dissecting https://openreview.net/forum?id=YNyTumD0U9 LoRA-DARTS: Low Rank Adaptation for Differentiable Architecture Search | OpenReview Gradient-based one-shot neural architecture search (NAS) methods, such as Differentiable Architecture Search (DARTS), have emerged as computationally feasible... low rank adaptation architecture search lora darts differentiable https://openreview.net/forum?id=9mjZ800m7Y Multi-objective Differentiable Neural Architecture Search | OpenReview Pareto front profiling in multi-objective optimization (MOO), i.e., finding a diverse set of Pareto optimal solutions, is challenging, especially with... neural architecture search multi objective differentiable openreview https://openreview.net/forum?id=ByME42AqK7 Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution | OpenReview We propose a method for efficient Multi-Objective Neural Architecture Search based on Lamarckian inheritance and evolutionary algorithms. neural architecture search efficient multi objective via evolution