Neural Network Optimization
4,155 papers
Papers per year
1
1
2
3
6
1
7
5
7
9
17
18
40
76
113
228
343
456
501
492
567
622
559
81
'5
'10
'15
'20
'25
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