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)
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
NeurIPS 2017
QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings
SemEval 2017
QMDIS: QCRI-MIT Advanced Dialect Identification System
Interspeech 2017
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection
CVPR 2017
Quantifying how much sensory information in a neural code is relevant for behavior
NeurIPS 2017
Quantifying the Effects of Text Duplication on Semantic Models
EMNLP 2017
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
ACL 2017
Question Answering through Transfer Learning from Large Fine-grained Supervision Data
ACL 2017
Question Asking as Program Generation
NeurIPS 2017
Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese
ACML 2017
Random Permutation Online Isotonic Regression
NeurIPS 2017
Rank Aggregation and Prediction with Item Features
AISTATS 2017
Reading Validation for Pronunciation Evaluation in the Digitala Project
Interspeech 2017
Real-Time Bidding with Side Information
NeurIPS 2017
Real Time Image Saliency for Black Box Classifiers
NeurIPS 2017
Real-Time Keyword Extraction from Conversations
EACL 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
NeurIPS 2017
Recognizing Explicit and Implicit Hate Speech Using a Weakly Supervised Two-path Bootstrapping Approach
IJCNLP 2017
Reconstruct & Crush Network
NeurIPS 2017
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
NeurIPS 2017
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach
IJCAI 2017
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization
CVPR 2017
Recurrent Ladder Networks
NeurIPS 2017
Re-evaluating Automatic Metrics for Image Captioning
EACL 2017
Regional Concept Drift Detection and Density Synchronized Drift Adaptation
IJCAI 2017