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
'10
'15
'20
'25
Papers (including subtopics)
UOREX: Towards Uncertainty-Aware Open Relation Extraction
NAACL 2025
UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation
SemEval 2025
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
CVPR 2025
UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis
ICCV 2025
UR2N: Unified Retriever and ReraNker
COLING 2025
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
AAAI 2025
URLOST: Unsupervised Representation Learning without Stationarity or Topology
ICLR 2025
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration
CVPR 2025
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
AAAI 2025
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
ACL 2025
Using Encipherment to Isolate Conditions for the Successful Fine-tuning of Massively Multilingual Translation Models
EMNLP 2025
Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy
NAACL 2025
Using LLMs and Preference Optimization for Agreement-Aware HateWiC Classification
ACL 2025
Using LLMs to Advance Idiom Corpus Construction
NAACL 2025
Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia
NAACL 2025
Using LLMs to improve RL policies in personalized health adaptive interventions
NAACL 2025
Using Multimodal Models for Informative Classification of Ambiguous Tweets in Crisis Response
NAACL 2025
Using Next Sentence Prediction to Test ChatGPT’s Text Comprehension (Student Abstract)
AAAI 2025
Using Review Combination and Pseudo-Tokens for Aspect Sentiment Quad Prediction
NAACL 2025
Using tournaments to calculate AUROC for zero-shot classification with LLMs
EMNLP 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
ICCV 2025
Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss
SemEval 2025
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench
ACL 2025
UTER: Capturing the Human Touch in Evaluating Morphologically Rich and Low-Resource Languages
NAACL 2025
UTF: Under-trained Tokens as Fingerprints —— a Novel Approach to LLM Identification
ACL 2025