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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4,950 papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
AAAI 2022
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
AAAI 2022
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
AAAI 2022
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
AAAI 2022
Inconsistent Planning: When in Doubt, Toss a Coin!
AAAI 2022
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
AAAI 2022
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems
AAAI 2022
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations
AAAI 2022
The King Is Naked: On the Notion of Robustness for Natural Language Processing
AAAI 2022
Toward a New Science of Common Sense
AAAI 2022
Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs
AAAI 2022
Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract)
AAAI 2022
A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract)
AAAI 2022
Number Theory Meets Linguistics: Modelling Noun Pluralisation Across 1497 Languages Using 2-adic Metrics
AACL 2022
Putting WordNet’s Dictionary Examples in the Context of Definition Modelling: An Empirical Analysis
AACL 2022
Creative Text-to-Image Generation: Suggestions for a Benchmark
AACL 2022
Quantified Reproducibility Assessment of NLP Results
ACL 2022
TruthfulQA: Measuring How Models Mimic Human Falsehoods
ACL 2022
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods
ACL 2022
Entailment Graph Learning with Textual Entailment and Soft Transitivity
ACL 2022
Logic Traps in Evaluating Attribution Scores
ACL 2022
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED
ACL 2022
Overcoming a Theoretical Limitation of Self-Attention
ACL 2022
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions
ACL 2022
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
ACL 2022
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