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)
Active Learning of Convex Halfspaces on Graphs
NeurIPS 2021
Active Learning under Label Shift
AISTATS 2021
Active Learning with Maximum Margin Sparse Gaussian Processes
AISTATS 2021
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
NeurIPS 2021
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies
IJCAI 2021
Active multi-fidelity Bayesian online changepoint detection
UAI 2021
Active Offline Policy Selection
NeurIPS 2021
Active Online Learning with Hidden Shifting Domains
AISTATS 2021
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion
Interspeech 2021
Active Testing: Sample-Efficient Model Evaluation
ICML 2021
Active Universal Domain Adaptation
ICCV 2021
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization
CVPR 2021
Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery
ICCV 2021
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task
EMNLP 2021
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition
Interspeech 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
NAACL 2021
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
ACL 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
EMNLP 2021
Adapting Neural Machine Translation for Automatic Post-Editing
EMNLP 2021
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing
ACL 2021
Adaptiope: A Modern Benchmark for Unsupervised Domain Adaptation
WACV 2021
Adaptive Adversarial Network for Source-Free Domain Adaptation
ICCV 2021
Adaptive Aggregation Networks for Class-Incremental Learning
CVPR 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
AAAI 2021
Adaptive and Generative Zero-Shot Learning
ICLR 2021