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)
Distant Supervision for Polyphone Disambiguation in Mandarin Chinese
Interspeech 2020
Distill and Replay for Continual Language Learning
COLING 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
CVPR 2020
Distilling Cross-Task Knowledge via Relationship Matching
CVPR 2020
Distilling Effective Supervision From Severe Label Noise
CVPR 2020
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
AAAI 2020
Distilling Structured Knowledge for Text-Based Relational Reasoning
EMNLP 2020
Distortion Agnostic Deep Watermarking
CVPR 2020
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication
ICLR 2020
Distributed Minimum Error Entropy Algorithms
JMLR 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
L4DC 2020
Distributed Representations for Arithmetic Word Problems
AAAI 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
NeurIPS 2020
Distributionally Robust Counterfactual Risk Minimization
AAAI 2020
Distributionally Robust Federated Averaging
NeurIPS 2020
Distributionally Robust Local Non-parametric Conditional Estimation
NeurIPS 2020
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
ICML 2020
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning
CVPR 2020
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
UAI 2020
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
EMNLP 2020
Diverse Image Generation via Self-Conditioned GANs
CVPR 2020
Diverse Keyphrase Generation with Neural Unlikelihood Training
COLING 2020
Diversified Interactive Recommendation with Implicit Feedback
AAAI 2020
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification
EMNLP 2020
Diversifying Dialogue Generation with Non-Conversational Text
ACL 2020