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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
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding
EMNLP 2023
Towards General Error Diagnosis via Behavioral Testing in Machine Translation
EMNLP 2023
Adaptive Hinge Balance Loss for Document-Level Relation Extraction
EMNLP 2023
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
EMNLP 2023
PsyAttention: Psychological Attention Model for Personality Detection
EMNLP 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
EMNLP 2023
Dynamic Voting for Efficient Reasoning in Large Language Models
EMNLP 2023
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback
EMNLP 2023
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
EMNLP 2023
Compositional Generalization for Data-to-Text Generation
EMNLP 2023
Automated Few-Shot Classification with Instruction-Finetuned Language Models
EMNLP 2023
Auditory Attention Detection in Real-Life Scenarios Using Common Spatial Patterns from EEG
INTERSPEECH 2023
Enhancing Neural Machine Translation with Semantic Units
EMNLP 2023
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
EMNLP 2023
Intervention-Based Alignment of Code Search with Execution Feedback
EMNLP 2023
Is interpolation benign for random forest regression?
AISTATS 2023
Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations
ICML 2023
INarIG: Iterative Non-autoregressive Instruct Generation Model For Word-Level Auto Completion
EMNLP 2023
Causal Isotonic Calibration for Heterogeneous Treatment Effects
ICML 2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
ICML 2023
When does Privileged information Explain Away Label Noise?
ICML 2023
Delving into Noisy Label Detection with Clean Data
ICML 2023
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution
CVPR 2023
Estimating Joint Treatment Effects by Combining Multiple Experiments
ICML 2023
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