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Methodology
← Learning Types
Machine Learning
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Classification
1251 directly classified papers
Papers per year
2000: 1
2001: 1
2003: 2
2004: 1
2005: 1
2006: 18
2007: 9
2008: 14
2009: 7
2010: 12
2011: 10
2012: 26
2013: 22
2014: 29
2015: 21
2016: 28
2017: 57
2018: 66
2019: 92
2020: 110
2021: 139
2022: 148
2023: 164
2024: 142
2025: 130
2026: 1
Papers
Towards In-Distribution Compatible Out-of-Distribution Detection
AAAI 2023
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples
AAAI 2023
Distinguishing Romanized Hindi from Romanized Urdu
ACL 2023
Local and Global Logit Adjustments for Long-Tailed Learning
ICCV 2023
Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification
ICCV 2023
DeTexD: A Benchmark Dataset for Delicate Text Detection
ACL 2023
A New Task and Dataset on Detecting Attacks on Human Rights Defenders
ACL 2023
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
ACL 2023
Towards Reference Speech Characterization for Health Applications
INTERSPEECH 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
ICCV 2023
Focal Training and Tagger Decouple for Grammatical Error Correction
ACL 2023
Scalable and Explainable Automated Scoring for Open-Ended Constructed Response Math Word Problems
ACL 2023
Sentimental Matters - Predicting Literary Quality by Sentiment Analysis and Stylometric Features
ACL 2023
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
IJCAI 2023
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
EMNLP 2023
Classifying Dementia in the Presence of Depression: A Cross-Corpus Study
INTERSPEECH 2023
What is the Real Intention behind this Question? Dataset Collection and Intention Classification
ACL 2023
Combining Multiple Multimodal Speech Features into an Interpretable Index Score for Capturing Disease Progression in Amyotrophic Lateral Sclerosis
INTERSPEECH 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
AdaBoost is not an Optimal Weak to Strong Learner
ICML 2023
BITE: Textual Backdoor Attacks with Iterative Trigger Injection
ACL 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
ICML 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
ACL 2023
Distribution Free Domain Generalization
ICML 2023
Temporal Label Smoothing for Early Event Prediction
ICML 2023
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