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)
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
AAAI 2021
Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning
CVPR 2021
Relative Uncertainty Learning for Facial Expression Recognition
NeurIPS 2021
Relative Variational Intrinsic Control
AAAI 2021
Relaxed Core Stability in Fractional Hedonic Games
IJCAI 2021
Reliability Testing for Natural Language Processing Systems
ACL 2021
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
NeurIPS 2021
Reliable Estimates of Interpretable Cue Effects with Active Learning in Psycholinguistic Research
Interspeech 2021
Reliably Fast Adversarial Training via Latent Adversarial Perturbation
ICCV 2021
Relighting Images in the Wild With a Self-Supervised Siamese Auto-Encoder
WACV 2021
ReLU Regression with Massart Noise
NeurIPS 2021
REM: Efficient Semi-Automated Real-Time Moderation of Online Forums
ACL 2021
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
ICLR 2021
Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract)
AAAI 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning
NeurIPS 2021
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
NeurIPS 2021
ReMix: Towards Image-to-Image Translation With Limited Data
CVPR 2021
Removing Adversarial Noise in Class Activation Feature Space
ICCV 2021
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
NeurIPS 2021
Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning
CVPR 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
ICLR 2021
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
EACL 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search
CVPR 2021
Representational aspects of depth and conditioning in normalizing flows
ICML 2021
Representation Costs of Linear Neural Networks: Analysis and Design
NeurIPS 2021