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)
What do we expect from Multiple-choice QA Systems?
EMNLP 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics
AAAI 2020
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
ICML 2020
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients
CVPR 2020
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
CVPR 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
AAAI 2020
What Makes for Good Views for Contrastive Learning?
NeurIPS 2020
What Makes Training Multi-Modal Classification Networks Hard?
CVPR 2020
What Question Answering can Learn from Trivia Nerds
ACL 2020
What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name?
ACL 2020
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination
UAI 2020
When BERT Plays the Lottery, All Tickets Are Winning
EMNLP 2020
When deep denoising meets iterative phase retrieval
ICML 2020
When Does Self-Supervision Help Graph Convolutional Networks?
ICML 2020
When Does Unsupervised Machine Translation Work?
EMNLP 2020
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract)
AAAI 2020
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks
CVPR 2020
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
AAAI 2020
Which *BERT? A Survey Organizing Contextualized Encoders
EMNLP 2020
Whisper Activity Detection Using CNN-LSTM Based Attention Pooling Network Trained for a Speaker Identification Task
Interspeech 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
EMNLP 2020
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks
ICLR 2020
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
EMNLP 2020
Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness
EMNLP 2020
Will it Unblend?
EMNLP 2020