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Neural Network Optimization

1,004 papers

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Papers

Continual Forgetting for Pre-trained Vision Models CVPR 2024 Continual learning with the neural tangent ensemble NeurIPS 2024 Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech EMNLP 2024 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models NeurIPS 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Deep linear networks for regression are implicitly regularized towards flat minima NeurIPS 2024 DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment NeurIPS 2024 DiffLoc: Diffusion Model for Outdoor LiDAR Localization CVPR 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024 DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation NeurIPS 2024 DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024 Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks NeurIPS 2024 Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NeurIPS 2024 EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees EMNLP 2024 Efficient Backpropagation with Variance Controlled Adaptive Sampling ICLR 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models ICLR 2024 Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NeurIPS 2024 EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration AAAI 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024