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)
SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19
COLING 2022
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
ICML 2022
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
ICML 2022
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
COLING 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
NeurIPS 2022
Smoothed Online Learning is as Easy as Statistical Learning
COLT 2022
Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness
CVPR 2022
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
MIDL 2022
SNAIL: Semi-Separated Uncertainty Adversarial
Learning for Universal Domain Adaptation
ACML 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
NeurIPS 2022
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance
EMNLP 2022
SNUG: Self-Supervised Neural Dynamic Garments
CVPR 2022
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems
NeurIPS 2022
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations
NeurIPS 2022
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
AAAI 2022
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer
ACL 2022
SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage
CVPR 2022
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation
EMNLP 2022
Soft-label Learn for No-Intrusive Speech Quality Assessment
Interspeech 2022
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
NeurIPS 2022
SoftSpeech: Unsupervised Duration Model in FastSpeech 2
Interspeech 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
NeurIPS 2022
solo-learn: A Library of Self-supervised Methods for Visual Representation Learning
JMLR 2022
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
ICLR 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication
AISTATS 2022