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)
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
ICML 2020
Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding
Interspeech 2020
Style Variation as a Vantage Point for Code-Switching
Interspeech 2020
Style versus Content: A distinction without a (learnable) difference?
COLING 2020
Stylized Text Generation: Approaches and Applications
ACL 2020
Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement
Interspeech 2020
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning
ICML 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
NeurIPS 2020
Submodular Bandit Problem Under Multiple Constraints
UAI 2020
Sub-sampling for Efficient Non-Parametric Bandit Exploration
NeurIPS 2020
Subset Selection by Pareto Optimization with Recombination
AAAI 2020
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach
EMNLP 2020
SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain
EMNLP 2020
Supermasks in Superposition
NeurIPS 2020
Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
COLING 2020
Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
EMNLP 2020
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
ACL 2020
Supervised Adaptation of Sequence-to-Sequence Speech Recognition Systems using Batch-Weighting
AACL 2020
Supervised Contrastive Learning
NeurIPS 2020
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract)
AAAI 2020
Supervised Domain Adaptation for Text-Independent Speaker Verification Using Limited Data
Interspeech 2020
Supervised Learning with Background Knowledge
PGM 2020
Supervised Seeded Iterated Learning for Interactive Language Learning
EMNLP 2020
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
EMNLP 2020
SUPP.AI: finding evidence for supplement-drug interactions
ACL 2020