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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Papers (including subtopics)
Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
EMNLP 2025
Webis at CQs-Gen 2025: Prompting and Reranking for Critical Questions
ACL 2025
Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
ACL 2025
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
ICLR 2025
Weights-Rotated Preference Optimization for Large Language Models
EMNLP 2025
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity
AAAI 2025
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
ACL 2025
We Need to Measure Data Diversity in NLP — Better and Broader
EMNLP 2025
Wenzhou Dialect Speech to Mandarin Text Conversion
NAACL 2025
WEPO: Web Element Preference Optimization for LLM-based Web Navigation
AAAI 2025
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain
ACL 2025
We’re Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text
NAACL 2025
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
AAAI 2025
What Causes Knowledge Loss in Multilingual Language Models?
ACL 2025
What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning
ICCV 2025
What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
ICCV 2025
What Counts Underlying LLMs’ Moral Dilemma Judgments?
ACL 2025
What data should I include in my POS tagging training set?
EMNLP 2025
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
NAACL 2025
“What do you call a dog that is incontrovertibly true? Dogma”: Testing LLM Generalization through Humor
ACL 2025
What Has Been Lost with Synthetic Evaluation?
EMNLP 2025
What if Othello-Playing Language Models Could See?
EMNLP 2025
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models
CoNLL 2025
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
UAI 2025
What Makes Cryptic Crosswords Challenging for LLMs?
COLING 2025