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)
End-to-End Speech Translation with Adversarial Training
ACL 2020
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020
ACL 2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
EMNLP 2020
End-to-End Task-Oriented Dialog System Through Template Slot Value Generation
Interspeech 2020
End-to-End Thorough Body Perception for Person Search
AAAI 2020
End-to-end Training For Financial Report Summarization
COLING 2020
End-to-End Transition-Based Online Dialogue Disentanglement
IJCAI 2020
Energy-Based Processes for Exchangeable Data
ICML 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
ACL 2020
English-to-Chinese Transliteration with Phonetic Auxiliary Task
AACL 2020
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs
ACL 2020
Enhanced Labelling in Active Learning for Coreference Resolution
COLING 2020
Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources
AAAI 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
ICML 2020
Enhanced Transport Distance for Unsupervised Domain Adaptation
CVPR 2020
Enhance Robustness of Sequence Labelling with Masked Adversarial Training
EMNLP 2020
Enhancing Aspect Term Extraction with Soft Prototypes
EMNLP 2020
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge
ACL 2020
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction
CVPR 2020
Enhancing Dialog Coherence with Event Graph Grounded Content Planning
IJCAI 2020
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
CVPR 2020
Enhancing Neural Models with Vulnerability via Adversarial Attack
COLING 2020
Enhancing Simple Models by Exploiting What They Already Know
ICML 2020
Enhancing the Identification of Cyberbullying through Participant Roles
EMNLP 2020
Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge
ACML 2020