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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4950 directly classified 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
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
ACL 2023
Grounding the Lexical Substitution Task in Entailment
ACL 2023
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition
ACL 2023
Faithfulness Tests for Natural Language Explanations
ACL 2023
Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations
ACL 2023
Boosting Verified Training for Robust Image Classifications via Abstraction
CVPR 2023
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing
EMNLP 2023
NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs
EMNLP 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity
NIPS 2023
Is Distance Matrix Enough for Geometric Deep Learning?
NIPS 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
NIPS 2023
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
NIPS 2023
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL
NIPS 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
NIPS 2023
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning
NIPS 2023
Anytime-Competitive Reinforcement Learning with Policy Prior
NIPS 2023
GLIME: General, Stable and Local LIME Explanation
NIPS 2023
Mechanism Design for Collaborative Normal Mean Estimation
NIPS 2023
Hypothesis Selection with Memory Constraints
NIPS 2023
Random Cuts are Optimal for Explainable k-Medians
NIPS 2023
Strategic Data Sharing between Competitors
NIPS 2023
Uncovering Meanings of Embeddings via Partial Orthogonality
NIPS 2023
Do Not Marginalize Mechanisms, Rather Consolidate!
NIPS 2023
Certifiably Robust Graph Contrastive Learning
NIPS 2023
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
NIPS 2023
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