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
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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)
Non-Stationary Off-Policy Optimization
AISTATS 2021
Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach
COLT 2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
NeurIPS 2021
Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction
SemEval 2021
NOPE: A Corpus of Naturally-Occurring Presuppositions in English
CoNLL 2021
No-Press Diplomacy from Scratch
NeurIPS 2021
No-regret Algorithms for Capturing Events in Poisson Point Processes
ICML 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
NeurIPS 2021
No RL, No Simulation: Learning to Navigate without Navigating
NeurIPS 2021
Normalization Driven Zero-Shot Multi-Speaker Speech Synthesis
Interspeech 2021
Normalization Matters in Weakly Supervised Object Localization
ICCV 2021
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
CVPR 2021
Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval
IJCAI 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
NeurIPS 2021
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
EMNLP 2021
Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation
EMNLP 2021
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction
CVPR 2021
Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification
EMNLP 2021
NovelD: A Simple yet Effective Exploration Criterion
NeurIPS 2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation
IJCAI 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
NeurIPS 2021
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021
EMNLP 2021
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
EMNLP 2021
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss
MIDL 2021