Neural Network Optimization
4,155 papers
Papers per year
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Papers
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
EMNLP 2024
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NeurIPS 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
NeurIPS 2024
Data Driven Threshold and Potential Initialization for Spiking Neural Networks
AISTATS 2024
Data-Efficient Learning with Neural Programs
NeurIPS 2024
Deconstructing the Goldilocks Zone of Neural Network Initialization
ICML 2024
Deep Equilibrium Algorithmic Reasoning
NeurIPS 2024
Deep Fusion: Efficient Network Training via Pre-trained Initializations
ICML 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
Deep model-free KKL observer: A switching approach
L4DC 2024
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
CVPR 2024
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
ICLR 2024
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
NeurIPS 2024
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification
COLING 2024
DET: A Dual-Encoding Transformer for Relational Graph Embedding
COLING 2024
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
NeurIPS 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
NeurIPS 2024
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing
AISTATS 2024
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
ICLR 2024
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
ICLR 2024
Differentiable Model Scaling using Differentiable Topk
ICML 2024
DiffLoc: Diffusion Model for Outdoor LiDAR Localization
CVPR 2024
Diffusion Models Without Attention
CVPR 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
NeurIPS 2024