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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'20
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Papers (including subtopics)
Improving Arabic Diacritization with Regularized Decoding and Adversarial Training
ACL 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
NAACL 2021
Improving Calibration for Long-Tailed Recognition
CVPR 2021
Improving Calibration through the Relationship with Adversarial Robustness
NeurIPS 2021
Improving Causal Inference by Increasing Model Expressiveness
AAAI 2021
Improving Classifier Confidence using Lossy Label-Invariant Transformations
AISTATS 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
NeurIPS 2021
Improving Compositional Generalization in Classification Tasks via Structure Annotations
ACL 2021
Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents
IJCAI 2021
Improving Contrastive Learning by Visualizing Feature Transformation
ICCV 2021
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
NeurIPS 2021
Improving Counterfactual Generation for Fair Hate Speech Detection
ACL 2021
Improving Cross-Lingual Sentiment Analysis via Conditional Language Adversarial Nets
NAACL 2021
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting
ACL 2021
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures
EACL 2021
Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio
Interspeech 2021
Improving De-Raining Generalization via Neural Reorganization
ICCV 2021
Improving Dialogue State Tracking by Joint Slot Modeling
EMNLP 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
EMNLP 2021
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations
EMNLP 2021
Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
ACL 2021
Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task
EMNLP 2021
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
AAAI 2021
Improving Factual Consistency Between a Response and Persona Facts
EACL 2021
Improving Factual Consistency of Abstractive Summarization on Customer Feedback
ACL 2021