Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
One for More: Selecting Generalizable Samples for Generalizable ReID Model
AAAI 2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
NeurIPS 2021
One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
AISTATS 2021
On Episodes, Prototypical Networks, and Few-Shot Learning
NeurIPS 2021
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning
NSDI 2021
On Equivariant and Invariant Learning of Object Landmark Representations
ICCV 2021
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
CVPR 2021
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
CVPR 2021
On Feature Decorrelation in Self-Supervised Learning
ICCV 2021
On Feature Normalization and Data Augmentation
CVPR 2021
On Generalization in Coreference Resolution
EMNLP 2021
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
AAAI 2021
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
ICLR 2021
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
EMNLP 2021
On Large-Cohort Training for Federated Learning
NeurIPS 2021
On Learning the Geodesic Path for Incremental Learning
CVPR 2021
On Learning Universal Representations Across Languages
ICLR 2021
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
AAAI 2021
On Linear Identifiability of Learned Representations
ICML 2021
Online Class-Incremental Continual Learning with Adversarial Shapley Value
AAAI 2021
Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network
IJCAI 2021
Online Graph Dictionary Learning
ICML 2021
Online Learning Of Neural Computations From Sparse Temporal Feedback
NeurIPS 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
ICML 2021
Online Meta-Learning via Learning with Layer-Distributed Memory
NeurIPS 2021