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)
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
ICLR 2021
Representation Learning From Videos In-the-Wild: An Object-Centric Approach
WACV 2021
Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems
Interspeech 2021
Representation Learning via Global Temporal Alignment and Cycle-Consistency
CVPR 2021
Representation Learning via Invariant Causal Mechanisms
ICLR 2021
Representation Learning With Statistical Independence to Mitigate Bias
WACV 2021
Representation Matters: Offline Pretraining for Sequential Decision Making
ICML 2021
Representing the Unification of Text Featurization using a Context-Free Grammar
AAAI 2021
RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy
ACL 2021
Repurposing GANs for One-Shot Semantic Part Segmentation
CVPR 2021
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
ICLR 2021
Re-ranking for image retrieval and transductive few-shot classification
NeurIPS 2021
Reserve Price Optimization for First Price Auctions in Display Advertising
ICML 2021
Reset-Free Lifelong Learning with Skill-Space Planning
ICLR 2021
Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks
IJCAI 2021
Residual Energy-Based Models for End-to-End Speech Recognition
Interspeech 2021
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping
MIDL 2021
Residual Relaxation for Multi-view Representation Learning
NeurIPS 2021
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
AAAI 2021
ReSkin: versatile, replaceable, lasting tactile skins
CoRL 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
ICML 2021
ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations
EACL 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
NeurIPS 2021
Restore From Restored: Video Restoration With Pseudo Clean Video
CVPR 2021
Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain
EMNLP 2021