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)
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
ICML 2021
A Comparative Survey: Benchmarking for Pool-based Active Learning
IJCAI 2021
A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models
Interspeech 2021
A Comprehensive Assessment of Dialog Evaluation Metrics
EMNLP 2021
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution.
EMNLP 2021
A Context Aware Approach for Generating Natural Language Attacks
AAAI 2021
A Contextual Bandit Bake-off
JMLR 2021
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation
AAAI 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors
NeurIPS 2021
A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German
EMNLP 2021
Acoustic Event Detection with Classifier Chains
Interspeech 2021
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech
Interspeech 2021
Acoustic Scene Classification Using Kervolution-Based SubSpectralNet
Interspeech 2021
Acquiring a Formality-Informed Lexical Resource for Style Analysis
EACL 2021
A Critique of Self-Expressive Deep Subspace Clustering
ICLR 2021
A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
EACL 2021
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
AAAI 2021
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition
Interspeech 2021
Acting in Delayed Environments with Non-Stationary Markov Policies
ICLR 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
ICML 2021
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
AAAI 2021
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
AAAI 2021
Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos
WACV 2021
Action Shuffle Alternating Learning for Unsupervised Action Segmentation
CVPR 2021
Action Unit Memory Network for Weakly Supervised Temporal Action Localization
CVPR 2021