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)
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization
AAAI 2020
Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR
Interspeech 2020
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation
AAAI 2020
Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
AAAI 2020
Multi-task Learning for Multilingual Neural Machine Translation
EMNLP 2020
Multitask Learning of Negation and Speculation using Transformers
EMNLP 2020
Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension
AAAI 2020
Multi-Task Neural Model for Agglutinative Language Translation
ACL 2020
Multi-Task Self-Supervised Learning for Disfluency Detection
AAAI 2020
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
Interspeech 2020
Multi-View Clustering in Latent Embedding Space
AAAI 2020
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation
CVPR 2020
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract)
AAAI 2020
Multi-View Neural Human Rendering
CVPR 2020
Multi-view Story Characterization from Movie Plot Synopses and Reviews
EMNLP 2020
Multi-way Encoding for Robustness
WACV 2020
Multi-Zone Unit for Recurrent Neural Networks
AAAI 2020
Music Gesture for Visual Sound Separation
CVPR 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering
EMNLP 2020
Mutual Information Estimation using LSH Sampling
IJCAI 2020
Mutual Information Gradient Estimation for Representation Learning
ICLR 2020
NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement
Interspeech 2020
Named Entity Recognition Only from Word Embeddings
EMNLP 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
ICLR 2020
NAS-FCOS: Fast Neural Architecture Search for Object Detection
CVPR 2020