conftrace_

generalization performance

97 papers

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Co-occurring keywords

neural network (6616) neural network optimization (1293) stochastic gradient descent (1091) deep neural network (1803) gradient descent (1144) deep learning (2118) data augmentation (3052) loss landscape (149) learning rate (192) model selection (456)

Papers

Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions NIPS 2022
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails ICML 2022
Balanced Self-Paced Learning for AUC Maximization AAAI 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning NIPS 2022
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing ACL 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics NIPS 2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation NIPS 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning NIPS 2022
Disentangled Information Bottleneck AAAI 2021
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021
Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions JMLR 2021
Understanding and Visualizing Generalization in UNets MIDL 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021
EventDrop: Data Augmentation for Event-based Learning IJCAI 2021
Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021
Noisy Concurrent Training for Efficient Learning Under Label Noise WACV 2021
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021
Statistically robust neural network classification UAI 2021
Taxonomizing local versus global structure in neural network loss landscapes NIPS 2021
A Diversity-aware Model for Majority Vote Ensemble Accuracy AISTATS 2020
VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020
Curvature-corrected learning dynamics in deep neural networks ICML 2020
Learning to Select Base Classes for Few-Shot Classification CVPR 2020
Learning Augmentation Network via Influence Functions CVPR 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime ICML 2020