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)
Certifiably Robust Graph Contrastive Learning
NeurIPS 2023
(Certified!!) Adversarial Robustness for Free!
ICLR 2023
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
ICLR 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
NeurIPS 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance
ICML 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
ICML 2023
CFA: Class-Wise Calibrated Fair Adversarial Training
CVPR 2023
CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision
ICCV 2023
CFL-Net: Image Forgery Localization Using Contrastive Learning
WACV 2023
CFTNet: Complex-valued Frequency Transformation Network for Speech Enhancement
Interspeech 2023
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering
ACL 2023
Chain of Thought Prompting Elicits Knowledge Augmentation
ACL 2023
Chain-of-Thought Reasoning in Tabular Language Models
EMNLP 2023
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction
EMNLP 2023
Challenges in Context-Aware Neural Machine Translation
EMNLP 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
ICML 2023
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos
ICCV 2023
Change-Aware Sampling and Contrastive Learning for Satellite Images
CVPR 2023
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models
IJCAI 2023
Characteristic Circuits
NeurIPS 2023
Characterizing and Measuring Linguistic Dataset Drift
ACL 2023
Characterizing Internal Evasion Attacks in Federated Learning
AISTATS 2023
Characterizing personalized effects of family information on disease risk using graph representation learning
MLHC 2023