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neural network optimization

1,462 papers

Papers

DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024 Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss NeurIPS 2024 Dynamic Masking Rate Schedules for MLM Pretraining EACL 2024 Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NeurIPS 2024 Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024 Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability NeurIPS 2024 Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance CVPR 2024 Enhancing Neural Training via a Correlated Dynamics Model ICLR 2024 Enhancing Non-Matching Reference Speech Quality Assessment through Dynamic Weight Adaptation Interspeech 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024 Evolution and learning in differentiable robots RSS 2024 Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization NeurIPS 2024 Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks NeurIPS 2024 Federated Learning over Connected Modes NeurIPS 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024 Fluctuation-Based Adaptive Structured Pruning for Large Language Models AAAI 2024 From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024 From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers CVPR 2024 Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts NAACL 2024 GO4Align: Group Optimization for Multi-Task Alignment NeurIPS 2024 Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation COLING 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024