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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'25
Papers (including subtopics)
InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning
COLING 2025
Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque
EMNLP 2025
InstructionCP: A Simple yet Effective Approach for Transferring Large Language Models to Target Languages
ACL 2025
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
ICCV 2025
Instruction-Tuned English to Bhojpuri Neural Machine Translation Using Contrastive Preference Optimization
EMNLP 2025
Instruction-tuned QwenChart for Chart Question Answering
ACL 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
ACL 2025
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
ICLR 2025
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models
ICCV 2025
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning
AAAI 2025
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction
ICCV 2025
Integer Programming Based Methods and Heuristics for Causal Graph Learning
AISTATS 2025
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
AAAI 2025
Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design
ACL 2025
Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation
AAAI 2025
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation
AAAI 2025
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
AAAI 2025
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
ICCV 2025
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework
IJCAI 2025
InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding
EMNLP 2025
IntelliChain Stars at the Regulations Challenge Task: A Large Language Model for Financial Regulation
COLING 2025
Intelligence at the Edge of Chaos
ICLR 2025
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
AAAI 2025
Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation
COLING 2025
IntentionFrame: A Semi-Structured, Multi-Aspect Framework for Fine-Grained Conversational Intention Understanding
EMNLP 2025