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)
Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation
ICCV 2025
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
ACL 2025
Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions
WACV 2025
Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language
ACL 2025
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation
AAAI 2025
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
JMLR 2025
Towards Personalised Audio Visual Speech Enhancement
Interspeech 2025
Towards Privacy-Preserving Split Learning for ControlNet
WACV 2025
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
ICCV 2025
Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
ICCV 2025
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning
IJCAI 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
AAAI 2025
Towards Robust Overlapping Speech Detection: A Speaker-Aware Progressive Approach Using WavLM
Interspeech 2025
Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text
ACL 2025
Towards Robust Speaker Recognition against Intrinsic Variation with Foundation Model Few-shot Tuning and Effective Speech Synthesis
Interspeech 2025
Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution
ACL 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline
AAAI 2025
Towards Smart Point-and-Shoot Photography
CVPR 2025
Towards the Causal Complete Cause of Multi-Modal Representation Learning
ICML 2025
Towards the Law of Capacity Gap in Distilling Language Models
ACL 2025
Towards Understanding Parametric Generalized Category Discovery on Graphs
ICML 2025
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
ICLR 2025
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network
CVPR 2025
Towards Universal Rainy Image Restoration: Benchmark and Baseline
AAAI 2025