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)
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
EMNLP 2020
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
EMNLP 2020
Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus
COLING 2020
Language Modeling for Speech Analytics in Under-Resourced Languages
Interspeech 2020
Language Model Prior for Low-Resource Neural Machine Translation
EMNLP 2020
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions
ACL 2020
Laplacian Regularized Few-Shot Learning
ICML 2020
LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool
EMNLP 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
NeurIPS 2020
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data
IJCAI 2020
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning
Interspeech 2020
Large Scale Evaluation of Importance Maps in Automatic Speech Recognition
Interspeech 2020
Large-Scale Methods for Distributionally Robust Optimization
NeurIPS 2020
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
CVPR 2020
Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding
Interspeech 2020
Large Scale Video Representation Learning via Relational Graph Clustering
CVPR 2020
Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR
Interspeech 2020
Latent Bandits Revisited
NeurIPS 2020
Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty
RSS 2020
Latent Bernoulli Autoencoder
ICML 2020
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
CVPR 2020
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
AAAI 2020
Latent Regularized Generative Dual Adversarial Network For Abnormal Detection
IJCAI 2020
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification
JMLR 2020
Latent Template Induction with Gumbel-CRFs
NeurIPS 2020