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)
Towards augmenting crisis counselor training by improving message retrieval
NAACL 2019
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis
CoNLL 2019
Towards Automated Semi-Supervised Learning
AAAI 2019
Towards Automatic Variant Analysis of Ancient Devotional Texts
ACL 2019
Towards Better Accuracy and Robustness with Localized Adversarial Training
AAAI 2019
Towards Bilingual Lexicon Discovery From Visually Grounded Speech Audio
Interspeech 2019
Towards Coherent and Cohesive Long-form Text Generation
NAACL 2019
Towards Comprehensive Description Generation from Factual Attribute-value Tables
ACL 2019
Towards Content Transfer through Grounded Text Generation
NAACL 2019
Towards Discriminative Representation Learning for Speech Emotion Recognition
IJCAI 2019
Towards Fine-grained Text Sentiment Transfer
ACL 2019
Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
AAAI 2019
Towards Gene Function Prediction via Multi-Networks Representation Learning
AAAI 2019
Towards Generalized Speech Enhancement with Generative Adversarial Networks
Interspeech 2019
Towards Incremental Learning of Word Embeddings Using Context Informativeness
ACL 2019
Towards Interpretable Object Detection by Unfolding Latent Structures
ICCV 2019
Towards Joint Sound Scene and Polyphonic Sound Event Recognition
Interspeech 2019
Towards Language Agnostic Universal Representations
ACL 2019
Towards Latent Attribute Discovery From Triplet Similarities
ICCV 2019
Towards Making a Dependency Parser See
EMNLP 2019
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
AAAI 2019
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
NeurIPS 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
CVPR 2019
Towards Practical Alternating Least-Squares for CCA
NeurIPS 2019
Towards Precise End-to-End Weakly Supervised Object Detection Network
ICCV 2019