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)
AI for Planning Public Health Interventions
IJCAI 2021
Airbert: In-Domain Pretraining for Vision-and-Language Navigation
ICCV 2021
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
AISTATS 2021
A large-scale benchmark for few-shot program induction and synthesis
ICML 2021
A Large-Scale Dataset for Empathetic Response Generation
EMNLP 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
CVPR 2021
ALaSca: an Automated approach for Large-Scale Lexical Substitution
IJCAI 2021
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning
ICCV 2021
Algorithmic stability and generalization of an unsupervised feature selection algorithm
NeurIPS 2021
Alibi Explain: Algorithms for Explaining Machine Learning Models
JMLR 2021
A Light-Weight Contextual Spelling Correction Model for Customizing Transducer-Based Speech Recognition Systems
Interspeech 2021
AligNarr: Aligning Narratives on Movies
ACL 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
NeurIPS 2021
Aligned Contrastive Predictive Coding
Interspeech 2021
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast
EMNLP 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
NeurIPS 2021
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
NeurIPS 2021
Align Voting Behavior with Public Statements for Legislator Representation Learning
ACL 2021
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
AISTATS 2021
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages
EACL 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
NeurIPS 2021
Allegro.eu Submission to WMT21 News Translation Task
EMNLP 2021
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training
CVPR 2021
AlloST: Low-Resource Speech Translation Without Source Transcription
Interspeech 2021
All Tokens Matter: Token Labeling for Training Better Vision Transformers
NeurIPS 2021