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)
A State-independent and Time-evolving Network for Early Rumor Detection in Social Media
EMNLP 2020
A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing
EMNLP 2020
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT
EMNLP 2020
A Survey on Representation Learning for User Modeling
IJCAI 2020
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
AAAI 2020
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
AAAI 2020
A Transformer Approach to Contextual Sarcasm Detection in Twitter
ACL 2020
Attack to Explain Deep Representation
CVPR 2020
Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization
ACL 2020
Attention Based Data Hiding with Generative Adversarial Networks
AAAI 2020
Attention-Privileged Reinforcement Learning
CoRL 2020
Attention Scaling for Crowd Counting
CVPR 2020
Attentive Convolutional Recurrent Neural Network Using Phoneme-Level Acoustic Representation for Rare Sound Event Detection
Interspeech 2020
Attentive Experience Replay
AAAI 2020
Attentive User-Engaged Adversarial Neural Network for Community Question Answering
AAAI 2020
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding
Interspeech 2020
Attribute Propagation Network for Graph Zero-Shot Learning
AAAI 2020
A Two-Stage Masked LM Method for Term Set Expansion
ACL 2020
A Two-stage Model for Slot Filling in Low-resource Settings: Domain-agnostic Non-slot Reduction and Pretrained Contextual Embeddings
EMNLP 2020
A Two-Step Approach for Implicit Event Argument Detection
ACL 2020
Audio-Visual Model Distillation Using Acoustic Images
WACV 2020
Audio-Visual Multi-Channel Recognition of Overlapped Speech
Interspeech 2020
Augmented Natural Language for Generative Sequence Labeling
EMNLP 2020
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context
ACL 2020
Augmenting GAIL with BC for sample efficient imitation learning
CoRL 2020