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
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)
Exploiting the Surrogate Gap in Online Multiclass Classification
NeurIPS 2020
Exploiting Unsupervised Data for Emotion Recognition in Conversations
EMNLP 2020
Exploiting weakly supervised visual patterns to learn from partial annotations
NeurIPS 2020
Exploration Based Language Learning for Text-Based Games
IJCAI 2020
Exploration by Optimisation in Partial Monitoring
COLT 2020
Exploration of End-to-End Synthesisers for Zero Resource Speech Challenge 2020
Interspeech 2020
Exploratory Combinatorial Optimization with Reinforcement Learning
AAAI 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
ICML 2020
Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection
CVPR 2020
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation
CVPR 2020
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
ACL 2020
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving
CVPR 2020
Exploring Hate Speech Detection in Multimodal Publications
WACV 2020
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder
ACL 2020
Exploring Logically Dependent Multi-task Learning with Causal Inference
EMNLP 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
IJCAI 2020
Exploring the Boundaries of Low-Resource BERT Distillation
EMNLP 2020
Exploring the Use of an Artificial Accent of English to Assess Phonetic Learning in Monolingual and Bilingual Speakers
Interspeech 2020
Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification
Interspeech 2020
Exploring TTS Without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)
Interspeech 2020
Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing
ACL 2020
Exploring Unlabeled Faces for Novel Attribute Discovery
CVPR 2020
Exponential Family Graph Embeddings
AAAI 2020
Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
EMNLP 2020
Extensively Matching for Few-shot Learning Event Detection
ACL 2020