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)
Fair Representation Learning with Unreliable Labels
AISTATS 2023
Fair yet Asymptotically Equal Collaborative Learning
ICML 2023
Faithful Heteroscedastic Regression with Neural Networks
AISTATS 2023
Faithful Low-Resource Data-to-Text Generation through Cycle Training
ACL 2023
Faith-Shap: The Faithful Shapley Interaction Index
JMLR 2023
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection
ICLR 2023
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms
AAAI 2023
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
Interspeech 2023
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation
ACL 2023
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices
EMNLP 2023
False Discovery Proportion control for aggregated Knockoffs
NeurIPS 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
AISTATS 2023
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
EMNLP 2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
CVPR 2023
Fantastic Robustness Measures: The Secrets of Robust Generalization
NeurIPS 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
ICML 2023
Fast Adversarial Training with Smooth Convergence
ICCV 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
NeurIPS 2023
Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition
Interspeech 2023
Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms
NeurIPS 2023
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
NeurIPS 2023
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation
CVPR 2023
Fast Enrollable Streaming Keyword Spotting System: Training and Inference using a Web Browser
Interspeech 2023
Faster Relative Entropy Coding with Greedy Rejection Coding
NeurIPS 2023
Fast Offline Policy Optimization for Large Scale Recommendation
AAAI 2023