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Methodology
← Core Methods
Machine Learning
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Optimization
1184 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 1
2004: 2
2005: 3
2006: 12
2007: 12
2008: 20
2009: 10
2010: 15
2011: 15
2012: 36
2013: 76
2014: 59
2015: 48
2016: 45
2017: 58
2018: 61
2019: 72
2020: 82
2021: 95
2022: 111
2023: 101
2024: 144
2025: 100
2026: 3
Papers
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences
NAACL 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
EMNLP 2022
End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation
INTERSPEECH 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
AAAI 2022
Maxmin Participatory Budgeting
IJCAI 2022
Document-Level Event Argument Extraction via Optimal Transport
ACL 2022
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
AAAI 2022
Individual Fairness Guarantees for Neural Networks
IJCAI 2022
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns
ACL 2022
Fractional Adaptive Linear Units
AAAI 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
AISTATS 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
AISTATS 2022
Fast Sparse Classification for Generalized Linear and Additive Models
AISTATS 2022
Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments
INTERSPEECH 2022
Second-Order Sensitivity Analysis for Bilevel Optimization
AISTATS 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
AISTATS 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
AISTATS 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
AISTATS 2022
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
ACL 2022
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
AISTATS 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
AISTATS 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search
AISTATS 2022
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
AISTATS 2022
Adaptively Partitioning Max-Affine Estimators for Convex Regression
AISTATS 2022
Analyzing and Mitigating Interference in Neural Architecture Search
ICML 2022
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