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)
Incentive-Compatible Classification
AAAI 2020
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
AAAI 2020
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract)
IJCAI 2020
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods
COLING 2020
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
EMNLP 2020
Incorporating Behavioral Hypotheses for Query Generation
EMNLP 2020
Incorporating BERT into Parallel Sequence Decoding with Adapters
NeurIPS 2020
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
COLING 2020
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
ACL 2020
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction
IJCAI 2020
Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction
EMNLP 2020
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
ACL 2020
Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency
Interspeech 2020
Incremental Event Detection via Knowledge Consolidation Networks
EMNLP 2020
Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
AAAI 2020
Incremental Few-Shot Object Detection
CVPR 2020
Incremental Learning in Online Scenario
CVPR 2020
Incremental Machine Speech Chain Towards Enabling Listening While Speaking in Real-Time
Interspeech 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
AISTATS 2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
AAAI 2020
Inducing Hierarchical Compositional Model by Sparsifying Generator Network
CVPR 2020
Induction of Subgoal Automata for Reinforcement Learning
AAAI 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects
ICLR 2020
Inference for Batched Bandits
NeurIPS 2020
Inference-only sub-character decomposition improves translation of unseen logographic characters
AACL 2020