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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
On the Training Instability of Shuffling SGD with Batch Normalization
ICML 2023
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
ICML 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
ICML 2023
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
ICML 2023
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
ICML 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
ICML 2023
Does Continual Learning Equally Forget All Parameters?
ICML 2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
ICML 2023
Benign Overfitting in Deep Neural Networks under Lazy Training
ICML 2023
GeNAS: Neural Architecture Search with Better Generalization
IJCAI 2023
Backpropagation of Unrolled Solvers with Folded Optimization
IJCAI 2023
Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization
IJCAI 2023
Differentiable Economics for Randomized Affine Maximizer Auctions
IJCAI 2023
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks
IJCAI 2023
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
IJCAI 2023
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval
IJCAI 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics
IJCAI 2023
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)
IJCAI 2023
Cost-effective Artificial Neural Networks
IJCAI 2023
Scaling Laws for Discriminative Speech Recognition Rescoring Models
INTERSPEECH 2023
A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer
INTERSPEECH 2023
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
INTERSPEECH 2023
DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding
INTERSPEECH 2023
Iterative autoregression: a novel trick to improve your low-latency speech enhancement model
INTERSPEECH 2023
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