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
1
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
'5
'10
'15
'20
'25
Papers (including subtopics)
No-Regret Prediction in Marginally Stable Systems
COLT 2020
Normalization of Long-tail Adverse Drug Reactions in Social Media
EMNLP 2020
Normalizing Compositional Structures Across Graphbanks
COLING 2020
Normalizing Flows With Multi-Scale Autoregressive Priors
CVPR 2020
Not All Attention Is Needed: Gated Attention Network for Sequence Data
AAAI 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
NeurIPS 2020
#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media
ACL 2020
Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning
AAAI 2020
Novelty Detection Via Blurring
ICLR 2020
NPU Speaker Verification System for INTERSPEECH 2020 Far-Field Speaker Verification Challenge
Interspeech 2020
NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications
EMNLP 2020
NRC Systems for the 2020 Inuktitut-English News Translation Task
EMNLP 2020
NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification
SemEval 2020
NUIG: Multitasking Self-attention based approach to SigTyp 2020 Shared Task
EMNLP 2020
NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training
EMNLP 2020
NUT-RC: Noisy User-generated Text-oriented Reading Comprehension
COLING 2020
Object-Centric Learning with Slot Attention
NeurIPS 2020
Object Instance Mining for Weakly Supervised Object Detection
AAAI 2020
Objective Mismatch in Model-based Reinforcement Learning
L4DC 2020
Object-Oriented Dynamics Learning through Multi-Level Abstraction
AAAI 2020
Observational Overfitting in Reinforcement Learning
ICLR 2020
OCR Post Correction for Endangered Language Texts
EMNLP 2020
Octanove Labs’ Japanese-Chinese Open Domain Translation System
ACL 2020
Offline Imitation Learning with a Misspecified Simulator
NeurIPS 2020
Off-Policy Actor-Critic with Shared Experience Replay
ICML 2020