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
'25
Papers (including subtopics)
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
AAAI 2025
AdaPrefix++: Integrating Adapters Prefixes and Hypernetwork for Continual Learning
WACV 2025
Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
ICLR 2025
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
ACL 2025
Adaptation of Large Language Models
NAACL 2025
ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation
ICLR 2025
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
CVPR 2025
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning
CVPR 2025
Adapting Definition Modeling for New Languages: A Case Study on Belarusian
ACL 2025
Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval
ACL 2025
Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
ICCV 2025
Adapting LLM Agents with Universal Communication Feedback
NAACL 2025
Adapting Multilingual Embedding Models to Historical Luxembourgish
NAACL 2025
Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus: A Case Study for Hindi LLMs
COLING 2025
Adapting Prediction Sets to Distribution Shifts Without Labels
UAI 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
AAAI 2025
Adapting to Observation Length of Trajectory Prediction via Contrastive Learning
CVPR 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
AISTATS 2025
Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
ICCV 2025
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom
COLING 2025
Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning
ICLR 2025
Adaptive Across-Subcenter Representation Learning for Imbalanced Anomalous Sound Detection
Interspeech 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
JMLR 2025
Adaptive Collaborative Labeling with MLLMs for Low-Resource Multimodal Emotion Recognition
IJCNLP 2025