Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
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8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Models and Datasets for Cross-Lingual Summarisation
EMNLP 2021
Model Selection for Bayesian Autoencoders
NeurIPS 2021
Model Selection for Cross-lingual Transfer
EMNLP 2021
Model-Targeted Poisoning Attacks with Provable Convergence
ICML 2021
Model updating after interventions paradoxically introduces bias
AISTATS 2021
Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders
EMNLP 2021
Modified Frank Wolfe in Probability Space
NeurIPS 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
ICML 2021
Modular Self-Supervision for Document-Level Relation Extraction
EMNLP 2021
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis
CVPR 2021
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
AAAI 2021
Momentum Pseudo-Labeling for Semi-Supervised Speech Recognition
Interspeech 2021
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
CVPR 2021
Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model
CVPR 2021
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera
CVPR 2021
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
CVPR 2021
Monotonic Robust Policy Optimization with Model Discrepancy
ICML 2021
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
EMNLP 2021
MOOD: Multi-Level Out-of-Distribution Detection
CVPR 2021
MoPro: Webly Supervised Learning with Momentum Prototypes
ICLR 2021
More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
CVPR 2021
Morié Attack (MA): A New Potential Risk of Screen Photos
NeurIPS 2021
Morphological Segmentation for Seneca
NAACL 2021
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
ICML 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
NeurIPS 2021