Co-occurring keywords · papers mentioning both
Papers
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
AAAI 2022
Learning by Competition of Self-Interested Reinforcement Learning Agents
AAAI 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
OSDI 2022
Masked Training of Neural Networks with Partial Gradients
AISTATS 2022
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
AAAI 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
ICML 2022
Online Knowledge Distillation by Temporal-Spatial Boosting
WACV 2022
Optimization-Based Separations for Neural Networks
COLT 2022
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis
JMLR 2022
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
JMLR 2022
Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract)
AAAI 2022
Random Sharpness-Aware Minimization
NeurIPS 2022
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training
NeurIPS 2022
Scaled ReLU Matters for Training Vision Transformers
AAAI 2022
Secure Quantized Training for Deep Learning
ICML 2022
SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction
MIDL 2022
Towards Understanding the Condensation of Neural Networks at Initial Training
NeurIPS 2022
When Hardness of Approximation Meets Hardness of Learning
JMLR 2022
AC-GC: Lossy Activation Compression with Guaranteed Convergence
NeurIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks
NeurIPS 2021
An Empirical Study of Training Self-Supervised Vision Transformers
ICCV 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
NeurIPS 2021
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
AAAI 2021
ATP: In-network Aggregation for Multi-tenant Learning
NSDI 2021