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← Optimization & Theory
Machine Learning
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Optimization & Theory
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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
Continual Learning for Natural Language Generations with Transformer Calibration
CONLL 2022
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing
EMNLP 2022
Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting
INTERSPEECH 2022
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method
AAAI 2022
LittleBird: Efficient Faster & Longer Transformer for Question Answering
EMNLP 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
NIPS 2022
Training Your Sparse Neural Network Better with Any Mask
ICML 2022
Convolution of Convolution: Let Kernels Spatially Collaborate
CVPR 2022
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
NIPS 2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
NIPS 2022
Ortho-Shot: Low Displacement Rank Regularization With Data Augmentation for Few-Shot Learning
WACV 2022
The Importance of Hyperparameter Optimisation for Facial Recognition Applications
AAAI 2022
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
NIPS 2022
Matching Learned Causal Effects of Neural Networks with Domain Priors
ICML 2022
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
WACV 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
NIPS 2022
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration
NIPS 2022
The least-control principle for local learning at equilibrium
NIPS 2022
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
ICML 2022
Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
NIPS 2022
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion
IJCAI 2022
Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework
CVPR 2022
To update or not to update? Neurons at equilibrium in deep models
NIPS 2022
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection
NAACL 2022
Deep Active Learning by Leveraging Training Dynamics
NIPS 2022
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