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Neural Network Optimization

4,155 papers

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Papers

Bridging Discrete and Backpropagation: Straight-Through and Beyond NeurIPS 2023 Building Accurate Low Latency ASR for Streaming Voice Search in E-commerce ACL 2023 CAME: Confidence-guided Adaptive Memory Efficient Optimization ACL 2023 Can Forward Gradient Match Backpropagation? ICML 2023 Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? ACML 2023 Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization IJCAI 2023 Challenging the “One Single Vector per Token” Assumption CoNLL 2023 Characteristic Neural Ordinary Differential Equation ICLR 2023 CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling ICML 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 Closing the gap between the upper bound and lower bound of Adam's iteration complexity NeurIPS 2023 Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds ICCV 2023 Compact and Optimal Deep Learning With Recurrent Parameter Generators WACV 2023 Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition AAAI 2023 ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding NeurIPS 2023 Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping ICML 2023 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Continual Learning with Scaled Gradient Projection AAAI 2023 Continuous Spatiotemporal Transformer ICML 2023 Continuous-time Analysis of Anchor Acceleration NeurIPS 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Convergence of Adam Under Relaxed Assumptions NeurIPS 2023 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NeurIPS 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023