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)
Improving Code-Switching Language Modeling with Artificially Generated Texts Using Cycle-Consistent Adversarial Networks
Interspeech 2020
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources
COLING 2020
Improving Confidence Estimates for Unfamiliar Examples
CVPR 2020
Improving Context Modeling in Neural Topic Segmentation
AACL 2020
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning
COLING 2020
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
ACL 2020
Improving Disfluency Detection by Self-Training a Self-Attentive Model
ACL 2020
Improving Document-Level Neural Machine Translation with Domain Adaptation
ACL 2020
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
AAAI 2020
Improving ECG Classification Using Generative Adversarial Networks
AAAI 2020
Improving End-to-End Bangla Speech Recognition with Semi-supervised Training
EMNLP 2020
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
NeurIPS 2020
Improving generalization by controlling label-noise information in neural network weights
ICML 2020
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples
EMNLP 2020
Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution
COLING 2020
Improving Image Captioning with Better Use of Caption
ACL 2020
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
L4DC 2020
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
EMNLP 2020
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues
EMNLP 2020
Improving Knowledge Tracing via Pre-training Question Embeddings
IJCAI 2020
Improving Limited Labeled Dialogue State Tracking with Self-Supervision
EMNLP 2020
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling
ACL 2020
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
ACL 2020
Improving Molecular Design by Stochastic Iterative Target Augmentation
ICML 2020
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French, English - Vietnamese
AACL 2020