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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Optimization
14,207 papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
EMNLP 2018
Automatic Poetry Generation with Mutual Reinforcement Learning
EMNLP 2018
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
EMNLP 2018
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization
EMNLP 2018
Speeding Up Neural Machine Translation Decoding by Cube Pruning
EMNLP 2018
State-of-the-art Chinese Word Segmentation with Bi-LSTMs
EMNLP 2018
Explicitly modeling case improves neural dependency parsing
EMNLP 2018
Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods
EMNLP 2018
ITER: Improving Translation Edit Rate through Optimizable Edit Costs
EMNLP 2018
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task
EMNLP 2018
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora
EMNLP 2018
UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine Translation
EMNLP 2018
Orthogonal Matching Pursuit for Text Classification
EMNLP 2018
A Reductions Approach to Fair Classification
ICML 2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
ICML 2018
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
ICML 2018
Subspace Embedding and Linear Regression with Orlicz Norm
ICML 2018
Efficient Gradient-Free Variational Inference using Policy Search
ICML 2018
Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions
ICML 2018
The Mechanics of n-Player Differentiable Games
ICML 2018
Approximation Guarantees for Adaptive Sampling
ICML 2018
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients
ICML 2018
Bayesian Optimization of Combinatorial Structures
ICML 2018
signSGD: Compressed Optimisation for Non-Convex Problems
ICML 2018
Adaptive Sampled Softmax with Kernel Based Sampling
ICML 2018
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