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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'20
'25
Papers (including subtopics)
Into The Limits of Logic: Alignment Methods for Formal Logical Reasoning
EMNLP 2025
Intra-modal and Cross-modal Synchronization for Audio-visual Deepfake Detection and Temporal Localization
ICCV 2025
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
ICCV 2025
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
ICLR 2025
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
AAAI 2025
Intrinsic Test of Unlearning Using Parametric Knowledge Traces
EMNLP 2025
Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks
ACL 2025
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
ACL 2025
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
AAAI 2025
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification
CVPR 2025
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior
ACL 2025
Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition
NAACL 2025
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
NAACL 2025
Investigating Dictionary Expansion for Video-based Sign Language Dictionaries
EMNLP 2025
Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities
EMNLP 2025
Investigating Imaging Annotation and Self-Supervision for the Classification of Continuously Developing Cells in Histological Whole Slide Images
WACV 2025
Investigating Language Preference of Multilingual RAG Systems
ACL 2025
Investigating Relational State Abstraction in Collaborative MARL
AAAI 2025
Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems
COLING 2025
Investigating the Effect of Backtranslation for Indic Languages
COLING 2025
Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa
COLING 2025
Investigating the Robustness of Retrieval-Augmented Generation at the Query Level
ACL 2025
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
NAACL 2025
Investigating the Transferability of Code Repair for Low-Resource Programming Languages
NAACL 2025