Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
7
12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
'10
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'25
Papers (including subtopics)
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent
AISTATS 2019
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization
ICML 2019
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
EMNLP 2019
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel
EMNLP 2019
Trivializations for Gradient-Based Optimization on Manifolds
NeurIPS 2019
Truly Proximal Policy Optimization
UAI 2019
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs
AAAI 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization
EMNLP 2019
Understanding Sparse JL for Feature Hashing
NeurIPS 2019
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
CVPR 2019
Understanding the Role of Momentum in Stochastic Gradient Methods
NeurIPS 2019
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
AAAI 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
ICLR 2019
Unreproducible Research is Reproducible
ICML 2019
Utilizing Class Information for Deep Network Representation Shaping
AAAI 2019
Variational Convolutional Neural Network Pruning
CVPR 2019
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration
AAAI 2019
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
ICLR 2019
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
AAAI 2019
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
AAAI 2019
What Can ResNet Learn Efficiently, Going Beyond Kernels?
NeurIPS 2019
What is the Effect of Importance Weighting in Deep Learning?
ICML 2019
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons
EMNLP 2019
When does label smoothing help?
NeurIPS 2019
Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion
Interspeech 2019