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)
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
EMNLP 2020
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
NeurIPS 2020
Improving Neural Relation Extraction with Positive and Unlabeled Learning
AAAI 2020
Improving NMT via Filtered Back Translation
AACL 2020
Improving Non-autoregressive Neural Machine Translation with Monolingual Data
ACL 2020
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes
EMNLP 2020
Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models
EMNLP 2020
Improving Policies via Search in Cooperative Partially Observable Games
AAAI 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases
EMNLP 2020
Improving Relation Extraction with Relational Paraphrase Sentences
COLING 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction
ICML 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning
L4DC 2020
Improving Segmentation for Technical Support Problems
ACL 2020
Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection
Interspeech 2020
Improving Tandem Mass Spectra Analysis with Hierarchical Learning
IJCAI 2020
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation
EMNLP 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
MIDL 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
AAAI 2020
Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition
Interspeech 2020
Improving Transformer-Based Speech Recognition with Unsupervised Pre-Training and Multi-Task Semantic Knowledge Learning
Interspeech 2020
Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization
Interspeech 2020
Imputation estimators for unnormalized models with missing data
AISTATS 2020
Imputer: Sequence Modelling via Imputation and Dynamic Programming
ICML 2020
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
CVPR 2020
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition
Interspeech 2020