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)
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
EMNLP 2021
Symbolic Music Generation with Transformer-GANs
AAAI 2021
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
NeurIPS 2021
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized With Semantic Segmentation for Autonomous Driving
WACV 2021
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
AAAI 2021
Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation
EMNLP 2021
Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data
EMNLP 2021
Syntactic Nuclei in Dependency Parsing – A Multilingual Exploration
EACL 2021
SynthASR: Unlocking Synthetic Data for Speech Recognition
Interspeech 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
ICCV 2021
Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis
CVPR 2021
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
EMNLP 2021
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text
EMNLP 2021
Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.
EACL 2021
Synthetic Expressions Are Better Than Real for Learning to Detect Facial Actions
WACV 2021
T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition
EACL 2021
TABBIE: Pretrained Representations of Tabular Data
NAACL 2021
TabPert : An Effective Platform for Tabular Perturbation
EMNLP 2021
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks
ACL 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
AAAI 2021
Tag Assisted Neural Machine Translation of Film Subtitles
ACL 2021
Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
IJCAI 2021
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors
AAAI 2021
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
NeurIPS 2021
TAILOR: Teaching with Active and Incremental Learning for Object Registration
AAAI 2021