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)
MetaPoison: Practical General-purpose Clean-label Data Poisoning
NeurIPS 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations
AAAI 2020
MetaSDF: Meta-Learning Signed Distance Functions
NeurIPS 2020
Meta Segmentation Network for Ultra-Resolution Medical Images
IJCAI 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
CVPR 2020
Methods for Numeracy-Preserving Word Embeddings
EMNLP 2020
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab Protocols
EMNLP 2020
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
EMNLP 2020
MIND: A Large-scale Dataset for News Recommendation
ACL 2020
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding
EMNLP 2020
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
CVPR 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
NeurIPS 2020
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
AAAI 2020
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition
Interspeech 2020
Mining Knowledge for Natural Language Inference from Wikipedia Categories
EMNLP 2020
Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval
AAAI 2020
MIPaaL: Mixed Integer Program as a Layer
AAAI 2020
Mirror-Generative Neural Machine Translation
ICLR 2020
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
NeurIPS 2020
Mitigating Gender Bias in Machine Translation with Target Gender Annotations
EMNLP 2020
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
ICLR 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
ACL 2020
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
CVPR 2020
ML-LOO: Detecting Adversarial Examples with Feature Attribution
AAAI 2020
MLQA: Evaluating Cross-lingual Extractive Question Answering
ACL 2020