Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
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
Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
ACL 2025
InstructOCR: Instruction Boosting Scene Text Spotting
AAAI 2025
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning
AAAI 2025
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series
AAAI 2025
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
AAAI 2025
Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation
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
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
AAAI 2025
IntentionFrame: A Semi-Structured, Multi-Aspect Framework for Fine-Grained Conversational Intention Understanding
EMNLP 2025
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
ACL 2025
InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing
CVPR 2025
INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models
ACL 2025
Interactive and Expressive Code-Augmented Planning with Large Language Models
ACL 2025
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
ACL 2025
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
CVPR 2025
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
ICML 2025
Interleaved-Modal Chain-of-Thought
CVPR 2025
InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions
CVPR 2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
ACL 2025
Interpretable Failure Detection with Human-Level Concepts
AAAI 2025
Interpretable Text Embeddings and Text Similarity Explanation: A Survey
EMNLP 2025