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
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'25
Papers (including subtopics)
The First Workshop on Multilingual Counterspeech Generation at COLING 2025: Overview of the Shared Task
COLING 2025
The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing
COLING 2025
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models
EMNLP 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning
EMNLP 2025
The Hallucination Tax of Reinforcement Finetuning
EMNLP 2025
The Hardness of Validating Observational Studies with Experimental Data
AISTATS 2025
The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)
IJCAI 2025
The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
EMNLP 2025
The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models
CVPR 2025
The impact of allocation strategies in subset learning on the expressive power of neural networks
ICLR 2025
The Impact of Dialect Variation on Robust Automatic Speech Recognition for Catalan
NAACL 2025
The Impact of Language Mixing on Bilingual LLM Reasoning
EMNLP 2025
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function
AAAI 2025
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models
ICCV 2025
The Kyrgyz Seed Dataset Submission to the WMT25 Open Language Data Initiative Shared Task
EMNLP 2025
The Language of Interoception: Examining Embodiment and Emotion Through a Corpus of Body Part Mentions
EMNLP 2025
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
ACL 2025
The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
ICLR 2025
The Master Key Filters Hypothesis: Deep Filters Are General
AAAI 2025
The Million Authors Corpus: A Cross-Lingual and Cross-Domain Wikipedia Dataset for Authorship Verification
ACL 2025
The Mirage of Model Editing: Revisiting Evaluation in the Wild
ACL 2025
The Missing Alignment Link of In-context Learning on Sequences
ICML 2025
The Missing Cause: An Analysis of Causal Attributions in Reporting on Palestine
COLING 2025
The Nature of NLP: Analyzing Contributions in NLP Papers
ACL 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025