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)
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
ICML 2020
Release the Power of Online-Training for Robust Visual Tracking
AAAI 2020
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
AAAI 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
ICML 2020
Reliable Fidelity and Diversity Metrics for Generative Models
ICML 2020
Reliable Graph Neural Networks via Robust Aggregation
NeurIPS 2020
Reliable Multilabel Classification: Prediction with Partial Abstention
AAAI 2020
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring
ICLR 2020
Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach
AAAI 2020
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning
AAAI 2020
Representation Learning for Discovering Phonemic Tone Contours
ACL 2020
Representation Learning via Adversarially-Contrastive Optimal Transport
ICML 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
AAAI 2020
Representative Solutions for Bi-Objective Optimisation
AAAI 2020
Research Replication Prediction Using Weakly Supervised Learning
EMNLP 2020
Residual Continual Learning
AAAI 2020
Residual Energy-Based Models for Text Generation
ICLR 2020
Re-solve it: simulating the acquisition of core semantic competences from small data
CoNLL 2020
Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming
COLING 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
ACL 2020
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
EMNLP 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
ICML 2020
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
NeurIPS 2020
Restoring Negative Information in Few-Shot Object Detection
NeurIPS 2020
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation
AAAI 2020