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)
Sequential Graph Convolutional Network for Active Learning
CVPR 2021
Sequential prediction under log-loss and misspecification
COLT 2021
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition
EMNLP 2021
Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization
EMNLP 2021
Settling the Variance of Multi-Agent Policy Gradients
NeurIPS 2021
Shades of BLEU, Flavours of Success: The Case of MultiWOZ
ACL 2021
Shallow Convolution-Augmented Transformer with Differentiable Neural Computer for Low-Complexity Classification of Variable-Length Acoustic Scene
Interspeech 2021
Shallow Feature Matters for Weakly Supervised Object Localization
CVPR 2021
SHAPELURN: An Interactive Language Learning Game with Logical Inference
ACL 2021
Shape Matters: Understanding the Implicit Bias of the Noise Covariance
COLT 2021
Shape Self-Correction for Unsupervised Point Cloud Understanding
ICCV 2021
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
CVPR 2021
Shared Independent Component Analysis for Multi-Subject Neuroimaging
NeurIPS 2021
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer
ICML 2021
Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning
EMNLP 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
ICML 2021
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
CVPR 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
AAAI 2021
Shuffled-token Detection for Refining Pre-trained RoBERTa
NAACL 2021
Siamese Network with wav2vec Feature for Spoofing Speech Detection
Interspeech 2021
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
ICML 2021
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
ICCV 2021
Signed Coreference Resolution
EMNLP 2021
Silent versus Modal Multi-Speaker Speech Recognition from Ultrasound and Video
Interspeech 2021
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
NeurIPS 2021