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)
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
ICML 2021
Variational Information Bottleneck for Effective Low-Resource Audio Classification
Interspeech 2021
Variational Model-based Policy Optimization
IJCAI 2021
Variational Prototype Learning for Deep Face Recognition
CVPR 2021
Variational Weakly Supervised Sentiment Analysis with Posterior Regularization
EACL 2021
VAST: Value Function Factorization with Variable Agent Sub-Teams
NeurIPS 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
NeurIPS 2021
VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts
CVPR 2021
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
ACL 2021
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
CVPR 2021
Vector Quantized Bayesian Neural Network Inference for Data Streams
AAAI 2021
Verdict Inference with Claim and Retrieved Elements Using RoBERTa
EMNLP 2021
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing
CVPR 2021
Vi2CLR: Video and Image for Visual Contrastive Learning of Representation
ICCV 2021
Video-aided Unsupervised Grammar Induction
NAACL 2021
Video Annotation for Visual Tracking via Selection and Refinement
ICCV 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
EMNLP 2021
VideoLT: Large-Scale Long-Tailed Video Recognition
ICCV 2021
VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples
CVPR 2021
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
ICCV 2021
VideoSSL: Semi-Supervised Learning for Video Classification
WACV 2021
Video Summarization via Label Distributions Dual-Reward
IJCAI 2021
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
NAACL 2021
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
ICLR 2021
ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation
ICCV 2021