Neural Network Optimization
4,155 papers
Papers per year
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113
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Papers
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
ICML 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels
NeurIPS 2021
Understanding Decoupled and Early Weight Decay
AAAI 2021
Understanding Gradient Clipping In Incremental Gradient Methods
AISTATS 2021
Understanding How Encoder-Decoder Architectures Attend
NeurIPS 2021
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron
ACML 2021
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
ICML 2021
Understanding the effects of data parallelism and sparsity on neural network training
ICLR 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective
AAAI 2021
Universal approximation power of deep residual neural networks via nonlinear control theory
ICLR 2021
Using Transposed Convolution for Articulatory-to-Acoustic Conversion from Real-Time MRI Data
Interspeech 2021
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
CVPR 2021
VSQL: Variational Shadow Quantum Learning for Classification
AAAI 2021
Weight-covariance alignment for adversarially robust neural networks
ICML 2021
What can linearized neural networks actually say about generalization?
NeurIPS 2021
What training reveals about neural network complexity
NeurIPS 2021
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
EMNLP 2021
When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks?
JMLR 2021
When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?
COLT 2021
When does preconditioning help or hurt generalization?
ICLR 2021
When Expressivity Meets Trainability: Fewer than n Neurons Can Work
NeurIPS 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition
ICCV 2021
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels
AAAI 2020
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
AAAI 2020
Accelerating SGD with momentum for over-parameterized learning
ICLR 2020