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
'5
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'15
'20
'25
Papers (including subtopics)
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
CVPR 2025
ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction
IJCAI 2025
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
ICML 2025
ART: Adaptive Relation Tuning for Generalized Relation Prediction
ICCV 2025
ArtEditor: Learning Customized Instructional Image Editor from Few-Shot Examples
ICCV 2025
ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage
WACV 2025
ARTICLE: Annotator Reliability Through In-Context Learning
AAAI 2025
ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)
AAAI 2025
ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splatting
CVPR 2025
Artificial Relationships in Fiction: A Dataset for Advancing NLP in Literary Domains
NAACL 2025
AR-VRM: Imitating Human Motions for Visual Robot Manipulation with Analogical Reasoning
ICCV 2025
A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models
IJCNLP 2025
ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy
ICCV 2025
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds
AAAI 2025
As easy as PIE: understanding when pruning causes language models to disagree
NAACL 2025
A Second-Order Perspective on Model Compositionality and Incremental Learning
ICLR 2025
A Self-Denoising Model for Robust Few-Shot Relation Extraction
ACL 2025
A Self-Training Approach for Whisper to Enhance Long Dysarthric Speech Recognition
Interspeech 2025
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models
ACL 2025
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation
CVPR 2025
A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation
ACL 2025
A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
ACL 2025
A Sequential Multi-Stage Approach for Code Vulnerability Detection via Confidence- and Collaboration-based Decision Making
EMNLP 2025
A Shapley-value Guided Rationale Editor for Rationale Learning
AISTATS 2025
A Shared Low-Rank Adaptation Approach to Personalized RLHF
AISTATS 2025