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)
Inceptive Transformers: Enhancing Contextual Representations through Multi-Scale Feature Learning Across Domains and Languages
EMNLP 2025
Incepto@DravidianLangTech 2025: Detecting Abusive Tamil and Malayalam Text Targeting Women on YouTube
NAACL 2025
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
AAAI 2025
Incomplete Multi-view Clustering via Diffusion Contrastive Generation
AAAI 2025
Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection
ACL 2025
In-Context Deep Learning via Transformer Models
ICML 2025
In-context Language Learning for Endangered Languages in Speech Recognition
Interspeech 2025
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning
ACL 2025
In-Context Meta LoRA Generation
IJCAI 2025
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
AAAI 2025
In-context Prompt-augmented Micro-video Popularity Prediction
AAAI 2025
Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback
EMNLP 2025
IndicSynth: A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages
ACL 2025
indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian Languages
SemEval 2025
IndiGEC: Multilingual Grammar Error Correction for Low-Resource Indian Languages
EMNLP 2025
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
ACL 2025
Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multi-scale Feature Fusion and Attention Enhancement
Interspeech 2025
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
CVPR 2025
Inference-Time Diffusion Model Distillation
ICCV 2025
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
CVPR 2025
InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning
EMNLP 2025
Infinite Width Limits of Self Supervised Neural Networks
AISTATS 2025
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack
AAAI 2025
Influence-Guided Diffusion for Dataset Distillation
ICLR 2025
Info-Coevolution: An Efficient Framework for Data Model Coevolution
ICML 2025