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)
Neural Architectures for Multilingual Semantic Parsing
ACL 2017
Neural Domain Adaptation for Biomedical Question Answering
CoNLL 2017
Neural End-to-End Learning for Computational Argumentation Mining
ACL 2017
Neural Episodic Control
ICML 2017
Neural Face Editing With Intrinsic Image Disentangling
CVPR 2017
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
EMNLP 2017
Neural Net Models of Open-domain Discourse Coherence
EMNLP 2017
Neural Program Meta-Induction
NeurIPS 2017
Neural Relation Extraction with Multi-lingual Attention
ACL 2017
Neural Response Generation via GAN with an Approximate Embedding Layer
EMNLP 2017
Neural Structural Correspondence Learning for Domain Adaptation
CoNLL 2017
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
ACL 2017
Neural System Combination for Machine Translation
ACL 2017
Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario
EACL 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
IJCAI 2017
NITE: A Neural Inductive Teaching Framework for Domain Specific NER
EMNLP 2017
NLPSA at IJCNLP-2017 Task 2: Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment Analysis
IJCNLP 2017
NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project
IJCNLP 2017
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective
EMNLP 2017
Noise Mitigation for Neural Entity Typing and Relation Extraction
EACL 2017
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
NeurIPS 2017
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming
IJCAI 2017
Nonlinear ICA of Temporally Dependent Stationary Sources
AISTATS 2017
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel
IJCAI 2017
Nonparametric Online Machine Learning with Kernels
IJCAI 2017