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
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Papers (including subtopics)
On the Suboptimality of Thompson Sampling in High Dimensions
NeurIPS 2021
On the Texture Bias for Few-Shot CNN Segmentation
WACV 2021
On the Transferability of Adversarial Attacks against Neural Text Classifier
EMNLP 2021
On the Value of Interaction and Function Approximation in Imitation Learning
NeurIPS 2021
OntoED: Low-resource Event Detection with Ontology Embedding
ACL 2021
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres
ACL 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
NAACL 2021
OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification
ACL 2021
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
ICLR 2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
CVPR 2021
Open Aspect Target Sentiment Classification with Natural Language Prompts
EMNLP 2021
OpenASR20: An Open Challenge for Automatic Speech Recognition of Conversational Telephone Speech in Low-Resource Languages
Interspeech 2021
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
ACL 2021
Open-domain clarification question generation without question examples
EMNLP 2021
OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data
EMNLP 2021
Open Hierarchical Relation Extraction
NAACL 2021
Open Intent Extraction from Natural Language Interactions (Extended Abstract)
IJCAI 2021
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
NeurIPS 2021
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
ACL 2021
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World
CVPR 2021
Open-Set Audio Classification with Limited Training Resources Based on Augmentation Enhanced Variational Auto-Encoder GAN with Detection-Classification Joint Training
Interspeech 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
NeurIPS 2021
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
AAAI 2021
Open-Vocabulary Object Detection Using Captions
CVPR 2021
Open World Compositional Zero-Shot Learning
CVPR 2021