conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Neural Network Optimization

3,648 papers

Papers per year

Papers

JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval IJCAI 2023
Scaling Laws for Multilingual Neural Machine Translation ICML 2023
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method NIPS 2023
Lookaround Optimizer: $k$ steps around, 1 step average NIPS 2023
Symbolic Discovery of Optimization Algorithms NIPS 2023
Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning NIPS 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment AAAI 2023
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023
Learned Adapters Are Better Than Manually Designed Adapters ACL 2023
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding NIPS 2023
Bifurcations and loss jumps in RNN training NIPS 2023
A Variational Perspective on High-Resolution ODEs NIPS 2023
Japanese-to-English Simultaneous Dubbing Prototype ACL 2023
Backpropagation of Unrolled Solvers with Folded Optimization IJCAI 2023
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks AAAI 2023
Deep linear networks can benignly overfit when shallow ones do JMLR 2023
Can Forward Gradient Match Backpropagation? ICML 2023
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023
A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer INTERSPEECH 2023
Intriguing Properties of Quantization at Scale NIPS 2023
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models NIPS 2023
A future for universal grapheme-phoneme transduction modeling with neuralized finite-state transducers ACL 2023