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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'20
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Papers (including subtopics)
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
ACL 2025
Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning
ACL 2025
Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos
CVPR 2025
WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning
ACL 2025
Whitened CLIP as a Likelihood Surrogate of Images and Captions
ICML 2025
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
ACL 2025
Who Holds the Pen? Caricature and Perspective in LLM Retellings of History
EMNLP 2025
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
EMNLP 2025
Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?
NAACL 2025
“Whose Side Are You On?” Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
IJCNLP 2025
Whose story is it? Personalizing story generation by inferring author styles
IJCNLP 2025
Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa
ACL 2025
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore
COLING 2025
Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning
EMNLP 2025
Why Does ChatGPT “Delve” So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models
COLING 2025
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?
AAAI 2025
Why In-Context Learning Models are Good Few-Shot Learners?
ICLR 2025
"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence
ICML 2025
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System
ACL 2025
Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs
ACL 2025
Why should only High-Resource-Languages have all the fun? Pivot Based Evaluation in Low Resource Setting
COLING 2025
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
IJCAI 2025
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
ACL 2025
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging
ACL 2025
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
ICLR 2025