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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
GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization
ICCV 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
AAAI 2021
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
NIPS 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
ICML 2021
Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction
EMNLP 2021
Domain-Independent Dominance of Adaptive Methods
CVPR 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
ICML 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
NIPS 2021
Credit Assignment in Neural Networks through Deep Feedback Control
NIPS 2021
Reservoir Transformers
ACL 2021
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization
CVPR 2021
Discovering Better Model Architectures for Medical Query Understanding
NAACL 2021
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation
IJCNLP 2021
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
AAAI 2021
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
NIPS 2021
Scaling Properties of Deep Residual Networks
ICML 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
AAAI 2021
Parameter-Efficient Transfer Learning with Diff Pruning
ACL 2021
What training reveals about neural network complexity
NIPS 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
IJCNLP 2021
Progressive Feature Interaction Search for Deep Sparse Network
NIPS 2021
Automated Machine Learning on Graphs: A Survey
IJCAI 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
ACL 2021
Understanding Gradient Clipping In Incremental Gradient Methods
AISTATS 2021
Time Adaptive Recurrent Neural Network
CVPR 2021
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