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)
A Constrained Text Revision Agent via Iterative Planning and Searching
ACL 2025
A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation
NAACL 2025
A Couch Potato is not a Potato on a Couch: Prompting Strategies, Image Generation, and Compositionality Prediction for Noun Compounds
ACL 2025
Acoustic and Linguistic Biomarkers for Cognitive Impairment Detection from Speech
Interspeech 2025
Acquisition and Application of Novel Knowledge in Large Language Models
ACL 2025
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios
AAAI 2025
Action-Agnostic Point-Level Supervision for Temporal Action Detection
AAAI 2025
Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning
L4DC 2025
ActionDiffusion: An Action-Aware Diffusion Model for Procedure Planning in Instructional Videos
WACV 2025
Action Dubber: Timing Audible Actions via Inflectional Flow
ICML 2025
Action Flow Matching for Lifelong Learning
RSS 2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
Activating Sparse Part Concepts for 3D Class Incremental Learning
CVPR 2025
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
ICLR 2025
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model
ACML 2025
Activation Subspaces for Out-of-Distribution Detection
ICCV 2025
Active Bipartite Ranking with Smooth Posterior Distributions
AISTATS 2025
Active Curriculum Language Modeling over a Hybrid Pre-training Method
EMNLP 2025
Active Data Curation Effectively Distills Large-Scale Multimodal Models
CVPR 2025
Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains
EMNLP 2025
Active Feature Acquisition for Personalised Treatment Assignment
AISTATS 2025
Active Few-Shot Learning for Text Classification
NAACL 2025
Active Fourier Auditor for Estimating Distributional Properties of ML Models
AAAI 2025
ActiveGAMER: Active GAussian Mapping through Efficient Rendering
CVPR 2025
Active Geospatial Search for Efficient Tenant Eviction Outreach
AAAI 2025