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Methodology
← Learning Types
Machine Learning
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Learning Types
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Supervised Learning
988 directly classified papers
Papers per year
2001: 3
2003: 5
2004: 5
2005: 1
2006: 19
2007: 20
2008: 10
2009: 10
2010: 16
2011: 18
2012: 29
2013: 32
2014: 29
2015: 21
2016: 25
2017: 67
2018: 45
2019: 40
2020: 75
2021: 98
2022: 83
2023: 86
2024: 131
2025: 120
Papers
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
NAACL 2024
TechWhiz@DravidianLangTech 2024: Fake News Detection Using Deep Learning Models
EACL 2024
CUET_NLP_GoodFellows@DravidianLangTech EACL2024: A Transformer-Based Approach for Detecting Fake News in Dravidian Languages
EACL 2024
Habesha@DravidianLangTech 2024: Detecting Fake News Detection in Dravidian Languages using Deep Learning
EACL 2024
SetFit: A Robust Approach for Offensive Content Detection in Tamil-English Code-Mixed Conversations Using Sentence Transfer Fine-tuning
EACL 2024
Efficient Convex Algorithms for Universal Kernel Learning
JMLR 2024
Overview of the Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) Shared Task at CASE 2024
EACL 2024
When Is a Name Sensitive? Eponyms in Clinical Text and Implications for De-Identification
EACL 2024
MAP- and MLE-Based Teaching
JMLR 2024
The Non-Overlapping Statistical Approximation to Overlapping Group Lasso
JMLR 2024
Label Noise Robustness of Conformal Prediction
JMLR 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
AAAI 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance
AISTATS 2024
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
AAAI 2024
Simplicity Bias in Overparameterized Machine Learning
AAAI 2024
All Beings Are Equal in Open Set Recognition
AAAI 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection
AAAI 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers
AISTATS 2024
Robust Loss Functions for Training Decision Trees with Noisy Labels
AAAI 2024
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach
AISTATS 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
EACL 2024
Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis
EACL 2024
Code_Makers@DravidianLangTech-EACL 2024 : Sentiment Analysis in Code-Mixed Tamil using Machine Learning Techniques
EACL 2024
Variable Importance in High-Dimensional Settings Requires Grouping
AAAI 2024
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