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)
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
UAI 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
ICML 2024
On the Effect of Batch Size in Byzantine-Robust Distributed Learning
ICLR 2024
On the Effects of Data Scale on UI Control Agents
NeurIPS 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
WACV 2024
On the Generalization Ability of Unsupervised Pretraining
AISTATS 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
JMLR 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
AISTATS 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AAAI 2024
On the In-context Generation of Language Models
EMNLP 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NeurIPS 2024
On the Language Encoder of Contrastive Cross-modal Models
ACL 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 2024
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
ICLR 2024
On the Proper Treatment of Tokenization in Psycholinguistics
EMNLP 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks
CVPR 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
ACL 2024
On the Role of Server Momentum in Federated Learning
AAAI 2024
On the Success and Limitations of Auxiliary Network Based Word-Level End-to-End Neural Speaker Diarization
Interspeech 2024
On the Use of Anchoring for Training Vision Models
NeurIPS 2024
Ontology-guided Knowledge Graph Construction from Maintenance Short Texts
ACL 2024
On Training Data Influence of GPT Models
EMNLP 2024
On Train-Test Class Overlap and Detection for Image Retrieval
CVPR 2024