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Neural Network Optimization

3,648 papers

Papers per year

Papers

Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective AAAI 2021
Understanding Decoupled and Early Weight Decay AAAI 2021
Frivolous Units: Wider Networks Are Not Really That Wide AAAI 2021
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021
Neural Relational Inference with Efficient Message Passing Mechanisms AAAI 2021
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information AAAI 2021
Learning with Retrospection AAAI 2021
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient AAAI 2021
Scaling-Up Robust Gradient Descent Techniques AAAI 2021
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization AAAI 2021
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling AAAI 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021
A Recipe for Global Convergence Guarantee in Deep Neural Networks AAAI 2021
A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021
VSQL: Variational Shadow Quantum Learning for Classification AAAI 2021
Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021
On the Adequacy of Untuned Warmup for Adaptive Optimization AAAI 2021
Shuffling Recurrent Neural Networks AAAI 2021
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment AAAI 2021
Implicit Kernel Attention AAAI 2021
Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021
Empowering Adaptive Early-Exit Inference with Latency Awareness AAAI 2021