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)
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
ICLR 2025
Evidential Uncertainty Probes for Graph Neural Networks
AISTATS 2025
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory
CVPR 2025
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
AAAI 2025
EvoCL: Continual Learning over Evolving Domains
WACV 2025
Evolutionary Classifier Chain for Multi-Dimensional Classification
AAAI 2025
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks
AAAI 2025
Evolving Chinese Spelling Correction with Corrector-Verifier Collaboration
EMNLP 2025
EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment
ICCV 2025
EvoPrompt: Evolving Prompts for Enhanced Zero-Shot Named Entity Recognition with Large Language Models
COLING 2025
EvoWiki: Evaluating LLMs on Evolving Knowledge
ACL 2025
EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision
ICCV 2025
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
CVPR 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning
EMNLP 2025
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
AAAI 2025
Excluding the Impossible for Open Vocabulary Semantic Segmentation
AAAI 2025
ExcluIR: Exclusionary Neural Information Retrieval
AAAI 2025
ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
EMNLP 2025
EXECUTE: A Multilingual Benchmark for LLM Token Understanding
ACL 2025
Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on SO(d)
COLT 2025
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
ACL 2025
ExMute: A Context-Enriched Multimodal Dataset for Hateful Memes
COLING 2025
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities using Web Instructional Videos
WACV 2025
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
ACL 2025
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
ICLR 2025