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
'5
'10
'15
'20
'25
Papers (including subtopics)
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
NeurIPS 2023
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Interspeech 2023
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
ICCV 2023
Focus Your Attention when Few-Shot Classification
NeurIPS 2023
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks
ACML 2023
Follow the Knowledge: Structural Biases and Artefacts in Knowledge Grounded Dialog Datasets
ACL 2023
Fooling Speaker Identification Systems with Adversarial Background Music
Interspeech 2023
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
AAAI 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
ICCV 2023
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery With Transformers
WACV 2023
ForestPrune: Compact Depth-Pruned Tree Ensembles
AISTATS 2023
FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models
ACL 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
NeurIPS 2023
Formally Verified Solution Methods for Markov Decision Processes
AAAI 2023
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
ACL 2023
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
ICML 2023
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles
IJCAI 2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
CVPR 2023
Foundation Model for Material Science
AAAI 2023
Foundations of Cooperative AI
AAAI 2023
Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task
ACL 2023
Fourier-Net: Fast Image Registration with Band-Limited Deformation
AAAI 2023
FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation
ICCV 2023
Fractional Denoising for 3D Molecular Pre-training
ICML 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs
NeurIPS 2023