Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Statistical Learning
4076 directly classified papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
Statistical inference on black-box generative models in the data kernel perspective space
ACL 2025
When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
ACL 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
ACL 2025
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
ACL 2025
The Linguistic Connectivities Within Large Language Models
ACL 2025
Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance
ACL 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
Language Model Probabilities are Not Calibrated in Numeric Contexts
ACL 2025
Towards Improved Risk Bounds for Transductive Learning
IJCAI 2025
CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
ICCV 2025
Can LLMs Reliably Simulate Real Students’ Abilities in Mathematics and Reading Comprehension?
ACL 2025
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
ACL 2025
Empirical Evaluation of Loss Masking to Selectively Prevent Memorization
ACL 2025
CliME: Evaluating Multimodal Climate Discourse on Social Media and the Climate Alignment Quotient (CAQ)
ACL 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
AAAI 2025
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
AAAI 2025
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
AAAI 2025
Risk Controlled Image Retrieval
AAAI 2025
GHOST: Gaussian Hypothesis Open-Set Technique
AAAI 2025
Active Fourier Auditor for Estimating Distributional Properties of ML Models
AAAI 2025
Conformal Thresholded Intervals for Efficient Regression
AAAI 2025
Cross-Validated Off-Policy Evaluation
AAAI 2025
Efficient Multi-Policy Evaluation for Reinforcement Learning
AAAI 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
EMNLP 2025
Redundancy Principles for MLLMs Benchmarks
ACL 2025
<
1
…
6
7
8
…
164
>