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

Neural Network Optimization

3,648 papers

Papers per year

Papers

AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation INTERSPEECH 2023
Deep Reinforcement Learning with Plasticity Injection NIPS 2023
Self-Attentive Pooling for Efficient Deep Learning WACV 2023
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023
Learning-Rate-Free Learning by D-Adaptation ICML 2023
Efficient Hyper-parameter Optimization with Cubic Regularization NIPS 2023
Polarity Is All You Need to Learn and Transfer Faster ICML 2023
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability NIPS 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023
Generalization bounds for neural ordinary differential equations and deep residual networks NIPS 2023
MixPath: A Unified Approach for One-shot Neural Architecture Search ICCV 2023
Separable Physics-Informed Neural Networks NIPS 2023
Non-autoregressive Streaming Transformer for Simultaneous Translation EMNLP 2023
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization IJCAI 2023
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs NIPS 2023
Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search WACV 2023
Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models CVPR 2023
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL NIPS 2023
SGD with Large Step Sizes Learns Sparse Features ICML 2023
Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning WACV 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023
Finding the Pillars of Strength for Multi-Head Attention ACL 2023
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation NIPS 2023
Growing a Brain with Sparsity-Inducing Generation for Continual Learning ICCV 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023