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)
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
WACV 2025
Continuous Structure Constraint Integration for Robust Causal Discovery
AISTATS 2025
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D
EMNLP 2025
Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements
AAAI 2025
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
AAAI 2025
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
AAAI 2025
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
EMNLP 2025
Contrastive Flow Matching
ICCV 2025
Contrastive Learning for Task-Independent SpeechLLM-Pretraining
ACL 2025
Contrastive Learning from Synthetic Audio Doppelgängers
ICLR 2025
Contrastive Learning of Image Representations Guided by Spatial Relations
WACV 2025
Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing
ACL 2025
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
EMNLP 2025
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
AAAI 2025
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models
ACL 2025
Contrastive Representation for Interactive Recommendation
AAAI 2025
Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation
ICCV 2025
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
IJCAI 2025
Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net
AAAI 2025
Controllable Clustering with LLM-driven Embeddings
EMNLP 2025
Controllable Style Arithmetic with Language Models
ACL 2025
Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models
COLING 2025
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
ACL 2025
Controlling Equational Reasoning in Large Language Models with Prompt Interventions
AAAI 2025
Controlling Language Confusion in Multilingual LLMs
ACL 2025