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← Optimization & Theory
Machine Learning
›
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
Gated Linear Networks
AAAI 2021
Training Spiking Neural Networks with Accumulated Spiking Flow
AAAI 2021
Neural Architecture Search as Sparse Supernet
AAAI 2021
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
AAAI 2021
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
AAAI 2021
Memory-Gated Recurrent Networks
AAAI 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks
AAAI 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
AAAI 2021
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
AAAI 2021
Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension
AAAI 2021
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
AAAI 2021
Faster Depth-Adaptive Transformers
AAAI 2021
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
AAAI 2021
Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra
AAAI 2021
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training
AAAI 2021
Safety Assurance for Systems with Machine Learning Components
AAAI 2021
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract)
AAAI 2021
Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract)
AAAI 2021
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract)
AAAI 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
ACL 2021
Optimizing Deeper Transformers on Small Datasets
ACL 2021
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks
ACL 2021
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
ACL 2021
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
ACL 2021
Automated Concatenation of Embeddings for Structured Prediction
ACL 2021
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