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)
Bandit Based Attention Mechanism in Vision Transformers
WACV 2025
Bandit Learning in Matching Markets with Indifference
ICLR 2025
Bandit Pareto Set Identification in a Multi-Output Linear Model
AISTATS 2025
BANGS: Game-theoretic Node Selection for Graph Self-Training
ICLR 2025
BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks
IJCAI 2025
BanNERD: A Benchmark Dataset and Context-Driven Approach for Bangla Named Entity Recognition
NAACL 2025
BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla
ACL 2025
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla
NAACL 2025
Barrier Breakers at BLP-2025 Task 2: Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter
AACL 2025
Basic Reading Distillation
ACL 2025
BasqBBQ: A QA Benchmark for Assessing Social Biases in LLMs for Basque, a Low-Resource Language
COLING 2025
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
EMNLP 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
AAAI 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
AAAI 2025
Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development
EMNLP 2025
BATCLIP: Bimodal Online Test-Time Adaptation for CLIP
ICCV 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
AAAI 2025
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale
AAAI 2025
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
AISTATS 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
AAAI 2025
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
AAAI 2025
Bayesian Test-Time Adaptation for Vision-Language Models
CVPR 2025
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek
COLING 2025
bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language Models
SemEval 2025
BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
ACL 2025