conftrace_

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation NAACL 2019
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation NAACL 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NAACL 2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs NAACL 2019
Scalable Collapsed Inference for High-Dimensional Topic Models NAACL 2019
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks NAACL 2019
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction NAACL 2019
Mitigating Uncertainty in Document Classification NAACL 2019
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models NAACL 2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction NAACL 2019
Neural Chinese Address Parsing NAACL 2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection NAACL 2019
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages NAACL 2019
Attention is not Explanation NAACL 2019
Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019
Positional Encoding to Control Output Sequence Length NAACL 2019
The Lower The Simpler: Simplifying Hierarchical Recurrent Models NAACL 2019
Saliency Learning: Teaching the Model Where to Pay Attention NAACL 2019
Benchmarking Hierarchical Script Knowledge NAACL 2019
A large-scale study of the effects of word frequency and predictability in naturalistic reading NAACL 2019
Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines NAACL 2019
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting NAACL 2019
Identifying and Reducing Gender Bias in Word-Level Language Models NAACL 2019
Emotion Impacts Speech Recognition Performance NAACL 2019