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)
LiRA: Learning Visual Speech Representations from Audio Through Self-Supervision
Interspeech 2021
LISN @ WMT 2021
EMNLP 2021
List-Decodable Mean Estimation in Nearly-PCA Time
NeurIPS 2021
LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks
Interspeech 2021
LM-Critic: Language Models for Unsupervised Grammatical Error Correction
EMNLP 2021
LMSOC: An Approach for Socially Sensitive Pretraining
EMNLP 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
ACML 2021
LocalGAN: Modeling Local Distributions for Adversarial Response Generation
JMLR 2021
Locality Sensitive Teaching
NeurIPS 2021
Localizing Visual Sounds the Hard Way
CVPR 2021
Locally Adaptive Label Smoothing Improves Predictive Churn
ICML 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
NeurIPS 2021
Local policy search with Bayesian optimization
NeurIPS 2021
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
ACL 2021
LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision
ICCV 2021
LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval
WACV 2021
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
ICML 2021
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
AISTATS 2021
Logistic Q-Learning
AISTATS 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
ICML 2021
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
ICLR 2021
Long Short View Feature Decomposition via Contrastive Video Representation Learning
ICCV 2021
Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings
CVPR 2021
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
ICLR 2021
Long-tail learning via logit adjustment
ICLR 2021