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)
Demographic Word Embeddings for Racism Detection on Twitter
IJCNLP 2017
Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
IJCAI 2017
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
EMNLP 2017
Dependency Parsing with Partial Annotations: An Empirical Comparison
IJCNLP 2017
Detecting annotation noise in automatically labelled data
ACL 2017
Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron?
ACL 2017
Detection of Mispronunciations and Disfluencies in Children Reading Aloud
Interspeech 2017
Deterministic, Strategyproof, and Fair Cake Cutting
IJCAI 2017
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics
SemEval 2017
Diachrony-aware Induction of Binary Latent Representations from Typological Features
IJCNLP 2017
Dialect Recognition Based on Unsupervised Bottleneck Features
Interspeech 2017
Diameter-Based Active Learning
ICML 2017
“Did you laugh enough today?” — Deep Neural Networks for Mobile and Wearable Laughter Trackers
Interspeech 2017
Differentiable Programs with Neural Libraries
ICML 2017
Differentiable Scheduled Sampling for Credit Assignment
ACL 2017
Discover and Learn New Objects From Documentaries
CVPR 2017
Discovering Causal Signals in Images
CVPR 2017
Discovering Language in Marmoset Vocalization
Interspeech 2017
Discrete Duration Model for Speech Synthesis
Interspeech 2017
Disguise Adversarial Networks for Click-through Rate Prediction
IJCAI 2017
Distant Supervision for Relation Extraction beyond the Sentence Boundary
EACL 2017
Distinguishing Japanese Non-standard Usages from Standard Ones
EMNLP 2017
Distral: Robust multitask reinforcement learning
NeurIPS 2017
Distributed Learning with Regularized Least Squares
JMLR 2017
Distributed Semi-supervised Learning with Kernel Ridge Regression
JMLR 2017