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Methodology
← Core Methods
Machine Learning
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Core Methods
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Classification
15289 directly classified papers
Papers per year
2000: 2
2001: 14
2002: 21
2003: 28
2004: 28
2005: 26
2006: 94
2007: 93
2008: 90
2009: 93
2010: 134
2011: 112
2012: 160
2013: 290
2014: 239
2015: 258
2016: 456
2017: 682
2018: 1145
2019: 1500
2020: 1638
2021: 1667
2022: 1636
2023: 1685
2024: 1600
2025: 1313
2026: 285
Papers
ForgDiffuser: General Image Forgery Localization with Diffusion Models
IJCAI 2025
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models
IJCAI 2025
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
IJCAI 2025
Switching State Space Modeling via Constrained Inference for Clinical Outcome Prediction
MLHC 2025
Supervised Learning with Evolving Tasks and Performance Guarantees
JMLR 2025
Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions
JMLR 2025
Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation
JMLR 2025
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary
JMLR 2025
Are Ensembles Getting Better All the Time?
JMLR 2025
Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data
JMLR 2025
A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning
JMLR 2025
Gradient Equilibrium in Online Learning: Theory and Applications
JMLR 2025
Binary Classifier Optimization for Large Language Model Alignment
ACL 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options
ACL 2025
Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats
ACL 2025
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
ACL 2025
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
ACL 2025
Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes
ACL 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration?
ACL 2025
HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring
ACL 2025
XDAC: XAI-Driven Detection and Attribution of LLM-Generated News Comments in Korean
ACL 2025
Towards Debiased Generalized Category Discovery
IJCAI 2025
Learning Accurate and Interpretable Decision Trees (Extended Abstract)
IJCAI 2025
Explainable Automatic Fact-Checking for Journalists Augmentation in the Wild
IJCAI 2025
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
ACL 2025
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