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 Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents
COLING 2020
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
AAAI 2020
A Joint Model for Document Segmentation and Segment Labeling
ACL 2020
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation
EMNLP 2020
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
EMNLP 2020
A Knowledge Transfer Framework for Differentially Private Sparse Learning
AAAI 2020
A Large-Scale Corpus of E-mail Conversations with Standard and Two-Level Dialogue Act Annotations
COLING 2020
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis
AAAI 2020
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
ACL 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
ICLR 2020
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems
AAAI 2020
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning
COLING 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation
MIDL 2020
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)
AAAI 2020
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
AAAI 2020
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task
EMNLP 2020
ALICE: Active Learning with Contrastive Natural Language Explanations
EMNLP 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
AAAI 2020
Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations
AAAI 2020
Alignment-free Cross-lingual Semantic Role Labeling
EMNLP 2020
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media
EMNLP 2020
A Little Bit Is Worse Than None: Ranking with Limited Training Data
EMNLP 2020
A Little Fog for a Large Turn
WACV 2020
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training
IJCAI 2020
Alleviation of Gradient Exploding in GANs: Fake Can Be Real
CVPR 2020