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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'10
'15
'20
'25
Papers (including subtopics)
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
ACL 2022
The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature
ACL 2022
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design
NeurIPS 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
NeurIPS 2022
The Power of Prompt Tuning for Low-Resource Semantic Parsing
ACL 2022
The predictability of literary translation
AACL 2022
The price of unfairness in linear bandits with biased feedback
NeurIPS 2022
The Primacy Bias in Deep Reinforcement Learning
ICML 2022
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
ICLR 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
AAAI 2022
The Role of Baselines in Policy Gradient Optimization
NeurIPS 2022
The Role of Context and Uncertainty in Shallow Discourse Parsing
COLING 2022
The Role of Deconfounding in Meta-learning
ICML 2022
The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education
NAACL 2022
The Surprising Effectiveness of Representation Learning for Visual Imitation
RSS 2022
The Teaching Dimension of Regularized Kernel Learners
ICML 2022
The Tree Loss: Improving Generalization with Many Classes
AISTATS 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization
CVPR 2022
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
NeurIPS 2022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
NeurIPS 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
ICML 2022
The VolcTrans System for WMT22 Multilingual Machine Translation Task
EMNLP 2022
The ZevoMOS entry to VoiceMOS Challenge 2022
Interspeech 2022
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
EMNLP 2022
Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints
CVPR 2022