computational graph

RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library EACL 2026 From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control ICML 2025 Scalable Meta-Learning via Mixed-Mode Differentiation ICML 2025 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch ICML 2023 TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs NeurIPS 2023 A Hardware Perspective to Evaluating Probabilistic Circuits PGM 2022 A Transition-based Method for Complex Question Understanding COLING 2022 Convexity Certificates from Hessians NeurIPS 2022 Signal Processing for Implicit Neural Representations NeurIPS 2022 Evolving Reinforcement Learning Algorithms ICLR 2021 Efficient Algorithms for Device Placement of DNN Graph Operators NeurIPS 2020 Strudel: Learning Structured-Decomposable Probabilistic Circuits PGM 2020 Transferable Graph Optimizers for ML Compilers NeurIPS 2020 Towards modular and programmable architecture search NeurIPS 2019 A Hierarchical Model for Device Placement ICLR 2018 Automatic Differentiation in Machine Learning: a Survey JMLR 2018 Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks ICLR 2018 Device Placement Optimization with Reinforcement Learning ICML 2017