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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025 Language Models as Continuous Self-Evolving Data Engineers EMNLP 2025 Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations EMNLP 2025 Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025 Language Models Lack Temporal Generalization and Bigger is Not Better ACL 2025 Language Models May Verbatim Complete Text They Were Not Explicitly Trained On ICML 2025 Language Models Resist Alignment: Evidence From Data Compression ACL 2025 Language-Specific Neurons Do Not Facilitate Cross-Lingual Transfer NAACL 2025 Language verY Rare for All COLING 2025 Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation EMNLP 2025 Large Displacement Motion Transfer with Unsupervised Anytime Interpolation ICML 2025 Large Language and Reasoning Models are Shallow Disjunctive Reasoners ACL 2025 Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales COLING 2025 Large Language Models Are Cross-Lingual Knowledge-Free Reasoners NAACL 2025 Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025 Large Language Models as a Normalizer for Transliteration and Dialectal Translation COLING 2025 Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey NAACL 2025 Large Language Models for Multilingual Previously Fact-Checked Claim Detection EMNLP 2025 Large Language Models in Bioinformatics: A Survey ACL 2025 Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions EMNLP 2025 Large Language Models Still Exhibit Bias in Long Text ACL 2025 Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models ACL 2025 Large Language Models to Diffusion Finetuning ICML 2025 Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection COLING 2025