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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'20
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Papers (including subtopics)
What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian
ACL 2019
What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks
AAAI 2019
What is the Effect of Importance Weighting in Deep Learning?
ICML 2019
What made you do this? Understanding black-box decisions with sufficient input subsets
AISTATS 2019
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
AAAI 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions
CVPR 2019
When can unlabeled data improve the learning rate?
COLT 2019
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation
AAAI 2019
“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text
NAACL 2019
When to Trust Your Model: Model-Based Policy Optimization
NeurIPS 2019
When to use parametric models in reinforcement learning?
NeurIPS 2019
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection
CVPR 2019
Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion
Interspeech 2019
Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation
Interspeech 2019
Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes
CVPR 2019
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
NAACL 2019
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
AAAI 2019
Who Needs Words? Lexicon-Free Speech Recognition
Interspeech 2019
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity
IJCAI 2019
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
NeurIPS 2019
Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
ACL 2019
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
EMNLP 2019
Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events
ACL 2019
WiRe57 : A Fine-Grained Benchmark for Open Information Extraction
ACL 2019
Without lexicons, multiword expression identification will never fly: A position statement
ACL 2019