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)
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation
IJCAI 2025
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
AAAI 2025
Counterfactual Realizability
ICLR 2025
CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds
ICCV 2025
Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning
ACL 2025
Counting Stacked Objects
ICCV 2025
CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model
CVPR 2025
CountSE: Soft Exemplar Open-set Object Counting
ICCV 2025
Coupling Category Alignment for Graph Domain Adaptation
IJCAI 2025
Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation
ICCV 2025
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning
WACV 2025
COVTrack: Continuous Open-Vocabulary Tracking via Adaptive Multi-Cue Fusion
ICCV 2025
CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
UAI 2025
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models
ICML 2025
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection
AAAI 2025
CPIQA: Climate Paper Image Question Answering Dataset for Retrieval-Augmented Generation with Context-based Query Expansion
ACL 2025
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
NAACL 2025
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
ICLR 2025
CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
ICLR 2025
CRAAC: Consistency Regularised Active Learning with Automatic Corrections for Real-Life Road Image Annotations
WACV 2025
CRAB: A Benchmark for Evaluating Curation of Retrieval-Augmented LLMs in Biomedicine
EMNLP 2025
Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings
ACL 2025
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
ICCV 2025
Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesia
NAACL 2025
CrackStructures and CrackEnsembles: The Power of Multi-View for 2.5D Crack Detection
WACV 2025