Neural Network Optimization
1,004 papers
Papers per year
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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