conftrace_
← Deep Learning
Deep Learning ›

Optimization & Theory

6,829 papers (27 classified directly here)

Subtopics

Model Compression (1,785) Optimization (1,664) Efficient Computing (1,579) Theory (1,082) Neural Network Optimization (903) Evaluation (509) Loss Functions (123) Interpretability (105) Stochastic Methods (97) Regularization (77) Generalization (24) Sparse Optimization (7)

Papers per year

8
50
642
1173
'10
'15
'20
'25

Papers (including subtopics)

In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images CVPR 2019
Attention is not not Explanation EMNLP 2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention EMNLP 2019
Robust Text Classifier on Test-Time Budgets EMNLP 2019
RNN Architecture Learning with Sparse Regularization EMNLP 2019
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization EMNLP 2019
Speculative Beam Search for Simultaneous Translation EMNLP 2019
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning EMNLP 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue? EMNLP 2019
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Small and Practical BERT Models for Sequence Labeling EMNLP 2019
ProSeqo: Projection Sequence Networks for On-Device Text Classification EMNLP 2019
A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019
Auditing Deep Learning processes through Kernel-based Explanatory Models EMNLP 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019
Certified Robustness to Adversarial Word Substitutions EMNLP 2019
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel EMNLP 2019
Revealing the Dark Secrets of BERT EMNLP 2019
PRADO: Projection Attention Networks for Document Classification On-Device EMNLP 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization EMNLP 2019
Hint-Based Training for Non-Autoregressive Machine Translation EMNLP 2019
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons EMNLP 2019
Higher-order Comparisons of Sentence Encoder Representations EMNLP 2019