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)
Are ResNets Provably Better than Linear Predictors?
NeurIPS 2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
ICML 2018
ATOMO: Communication-efficient Learning via Atomic Sparsification
NeurIPS 2018
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
EMNLP 2018
A Two-Step Computation of the Exact GAN Wasserstein Distance
ICML 2018
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
NeurIPS 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
IJCAI 2018
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
ACL 2018
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy
CVPR 2018
Blind Deconvolutional Phase Retrieval via Convex Programming
NeurIPS 2018
BlockDrop: Dynamic Inference Paths in Residual Networks
CVPR 2018
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training
NeurIPS 2018
Boosting Adversarial Attacks With Momentum
CVPR 2018
Bounds on the Approximation Power of Feedforward Neural Networks
ICML 2018
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
CVPR 2018
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
EMNLP 2018
Byzantine Stochastic Gradient Descent
NeurIPS 2018
Can We Gain More from Orthogonality Regularizations in Training Deep Networks?
NeurIPS 2018
ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions
CVPR 2018
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization
CVPR 2018
Collaboratively Weighting Deep and Classic Representation via l_2 Regularization for Image Classification
ACML 2018
Communication Compression for Decentralized Training
NeurIPS 2018
Compact Personalized Models for Neural Machine Translation
EMNLP 2018
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
EMNLP 2018
Composing Finite State Transducers on GPUs
ACL 2018