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neural network optimization (3) neural network training (3) reinforcement learning (3) device placement (2) graph neural network (2) memory optimization (2) deep neural network (2) graph optimization (2) model compression (2) neural network compilation (1)

Papers

MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing ACL 2026 HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks ICML 2025 Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024 Knowledge Circuits in Pretrained Transformers NeurIPS 2024 AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023 Faith and Fate: Limits of Transformers on Compositionality NeurIPS 2023 Robust Scheduling with GFlowNets ICLR 2023 Neural Topological Ordering for Computation Graphs NeurIPS 2022 Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021 Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ICLR 2020 Efficient Rematerialization for Deep Networks NeurIPS 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning NeurIPS 2019