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)
Corporate Bankruptcy Prediction with Domain-Adapted BERT
EMNLP 2021
Corpus-based Open-Domain Event Type Induction
EMNLP 2021
Correcting experience replay for multi-agent communication
ICLR 2021
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds
CVPR 2021
Corruption Robust Active Learning
NeurIPS 2021
Corruption-robust exploration in episodic reinforcement learning
COLT 2021
COSMic: A Coherence-Aware Generation Metric for Image Descriptions
EMNLP 2021
CoSQA: 20,000+ Web Queries for Code Search and Question Answering
ACL 2021
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach
AAAI 2021
COSY: COunterfactual SYntax for Cross-Lingual Understanding
ACL 2021
Co-Teaching Student-Model through Submission Results of Shared Task
EMNLP 2021
CoTexT: Multi-task Learning with Code-Text Transformer
ACL 2021
Co-training for Commit Classification
EMNLP 2021
Counterbalancing Learning and Strategic Incentives in Allocation Markets
NeurIPS 2021
Counter-Contrastive Learning for Language GANs
EMNLP 2021
Counterfactual Adversarial Learning with Representation Interpolation
EMNLP 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
AAAI 2021
Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking
EMNLP 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
NeurIPS 2021
Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer
ACL 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition
CVPR 2021
Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features
EACL 2021
Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models
EACL 2021
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation
EMNLP 2021
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty
AAAI 2021