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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Neural Network Optimization
3,648 papers
Papers per year
2001: 1
2003: 1
2005: 2
2006: 3
2007: 6
2008: 1
2009: 7
2010: 5
2011: 7
2012: 9
2013: 17
2014: 18
2015: 40
2016: 76
2017: 113
2018: 214
2019: 324
2020: 414
2021: 489
2022: 445
2023: 524
2024: 469
2025: 386
2026: 77
Papers
A Theoretical Framework for Inference Learning
NIPS 2022
Understanding the Failure of Batch Normalization for Transformers in NLP
NIPS 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
NIPS 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
NIPS 2022
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
NIPS 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
NIPS 2022
Non-Uniform Adversarially Robust Pruning
AUTOML 2022
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
CORL 2022
Learning Sampling Distributions for Model Predictive Control
CORL 2022
Optimized Potential Initialization for Low-Latency Spiking Neural Networks
AAAI 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
AAAI 2022
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
AAAI 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
AAAI 2022
Playing Lottery Tickets with Vision and Language
AAAI 2022
Adversarial Attack for Asynchronous Event-Based Data
AAAI 2022
Less Is More: Pay Less Attention in Vision Transformers
AAAI 2022
Scaled ReLU Matters for Training Vision Transformers
AAAI 2022
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
AAAI 2022
Forecasting Asset Dependencies to Reduce Portfolio Risk
AAAI 2022
Solving PDE-Constrained Control Problems Using Operator Learning
AAAI 2022
RID-Noise: Towards Robust Inverse Design under Noisy Environments
AAAI 2022
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms
AAAI 2022
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
AAAI 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
AAAI 2022
Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting
AAAI 2022
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