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
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'20
'25
Papers (including subtopics)
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
AISTATS 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
NeurIPS 2023
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
Data Curation Alone Can Stabilize In-context Learning
ACL 2023
Data-Driven Subgroup Identification for Linear Regression
ICML 2023
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
EMNLP 2023
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
ICML 2023
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
CVPR 2023
Data-Efficient Methods For Improving Hate Speech Detection
EACL 2023
Data-Free Class-Incremental Hand Gesture Recognition
ICCV 2023
Data-Free Sketch-Based Image Retrieval
CVPR 2023
Data Imputation with Iterative Graph Reconstruction
AAAI 2023
Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions
AAAI 2023
Data Pruning via Moving-one-Sample-out
NeurIPS 2023
Data Sampling and (In)stability in Machine Translation Evaluation
ACL 2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
NeurIPS 2023
Data Selection Curriculum for Abstractive Text Summarization
EMNLP 2023
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
ICLR 2023
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation
NeurIPS 2023
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
ACL 2023
DCCRN-KWS: An Audio Bias Based Model for Noise Robust Small-Footprint Keyword Spotting
Interspeech 2023
DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability
SemEval 2023
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
NeurIPS 2023
DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization
ICCV 2023