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)
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation
AAAI 2025
Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
ICLR 2025
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
ICLR 2025
Efficient Domain Continual pretraining by Mitigating the Stability Gap
ACL 2025
Efficient Duple Perturbation Robustness in Low-rank MDPs
L4DC 2025
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training
IJCAI 2025
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
ACL 2025
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
AISTATS 2025
Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation
ICCV 2025
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints
AAAI 2025
Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation
IJCAI 2025
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
AAAI 2025
Efficient Imitation under Misspecification
ICLR 2025
Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction
EMNLP 2025
Efficiently Identifying Watermarked Segments in Mixed-Source Texts
ACL 2025
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
ICLR 2025
Efficiently Parameterized Neural Metriplectic Systems
ICLR 2025
Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity
EMNLP 2025
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention
ACL 2025
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
ICLR 2025
EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models
ICCV 2025
Efficient Multi-Policy Evaluation for Reinforcement Learning
AAAI 2025
Efficient Multi-view Clustering via Reinforcement Contrastive Learning
IJCAI 2025
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
NAACL 2025
Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
ICLR 2025