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)
Discovering New Intents with Deep Aligned Clustering
AAAI 2021
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
ICLR 2021
Discovering Relationships Between Object Categories via Universal Canonical Maps
CVPR 2021
Discovering symbolic policies with deep reinforcement learning
ICML 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
EMNLP 2021
Discrete and Soft Prompting for Multilingual Models
EMNLP 2021
Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching
CVPR 2021
Discrete Multiple Kernel k-means
IJCAI 2021
Discriminative Complementary-Label Learning with Weighted Loss
ICML 2021
Discriminative Region-Based Multi-Label Zero-Shot Learning
ICCV 2021
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
AAAI 2021
Discriminative Self-Training for Punctuation Prediction
Interspeech 2021
Disentangled Contrastive Learning on Graphs
NeurIPS 2021
Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On
CVPR 2021
Disentangled Information Bottleneck
AAAI 2021
Disentangled Motif-aware Graph Learning for Phrase Grounding
AAAI 2021
Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective
ICCV 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
AAAI 2021
Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing
EACL 2021
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
NeurIPS 2021
Disentangling Label Distribution for Long-Tailed Visual Recognition
CVPR 2021
Disentangling Representations of Text by Masking Transformers
EMNLP 2021
Disfluency Correction using Unsupervised and Semi-supervised Learning
EACL 2021
Disfluency Detection with Unlabeled Data and Small BERT Models
Interspeech 2021
Disposable Linear Bandits for Online Recommendations
AAAI 2021