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)
Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical IR using Self-Attention
ACL 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
ICLR 2020
Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget
CVPR 2020
Sequential Mode Estimation with Oracle Queries
AAAI 2020
Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection
EMNLP 2020
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling
ACL 2020
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
CVPR 2020
Serialized Output Training for End-to-End Overlapped Speech Recognition
Interspeech 2020
SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning
Interspeech 2020
Service-oriented Text-to-SQL Parsing
EMNLP 2020
SESS: Self-Ensembling Semi-Supervised 3D Object Detection
CVPR 2020
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
IJCAI 2020
Set-Constrained Viterbi for Set-Supervised Action Segmentation
CVPR 2020
SetConv: A New Approach for Learning from Imbalanced Data
EMNLP 2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
EMNLP 2020
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training
CVPR 2020
SGAS: Sequential Greedy Architecture Search
CVPR 2020
SGD Learns One-Layer Networks in WGANs
ICML 2020
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
CVPR 2020
Shaping Visual Representations with Language for Few-Shot Classification
ACL 2020
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games
AAAI 2020
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
CVPR 2020
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
ICML 2020
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data
CVPR 2020
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder
EMNLP 2020