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)
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
CVPR 2020
Pushing the Limits of AMR Parsing with Self-Learning
EMNLP 2020
PuzzLing Machines: A Challenge on Learning From Small Data
ACL 2020
PyGlove: Symbolic Programming for Automated Machine Learning
NeurIPS 2020
QASC: A Dataset for Question Answering via Sentence Composition
AAAI 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
CVPR 2020
Q-learning with Language Model for Edit-based Unsupervised Summarization
EMNLP 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
AAAI 2020
Quantifying Intimacy in Language
EMNLP 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
NeurIPS 2020
Quantifying the Contextualization of Word Representations with Semantic Class Probing
EMNLP 2020
Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation
EMNLP 2020
Quantitative argument summarization and beyond: Cross-domain key point analysis
EMNLP 2020
Quantum Expectation-Maximization for Gaussian mixture models
ICML 2020
QuASE: Question-Answer Driven Sentence Encoding
ACL 2020
Quasi-Multitask Learning: an Efficient Surrogate for Obtaining Model Ensembles
EMNLP 2020
Query Answering with Guarded Existential Rules under Stable Model Semantics
AAAI 2020
Query-Driven Multi-Instance Learning
AAAI 2020
Query-efficient Meta Attack to Deep Neural Networks
ICLR 2020
Query-Focused EHR Summarization to Aid Imaging Diagnosis
MLHC 2020
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes
AAAI 2020
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason
ACL 2020
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering
ICLR 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
AISTATS 2020
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
JMLR 2020