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)
RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
CVPR 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
NeurIPS 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
NeurIPS 2024
Rapid Language Adaptation for Multilingual E2E Speech Recognition Using Encoder Prompting
Interspeech 2024
Rapid Plug-in Defenders
NeurIPS 2024
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
ICLR 2024
RAR: Retrieval-augmented retrieval for code generation in low resource languages
EMNLP 2024
Rating-Based Reinforcement Learning
AAAI 2024
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
EMNLP 2024
Rationale-Aware Answer Verification by Pairwise Self-Evaluation
EMNLP 2024
Rationale-based Learning Using Self-Supervised Narrative Events for Text Summarisation of Interactive Digital Narratives
COLING 2024
Rationale-based Opinion Summarization
NAACL 2024
Rationales for Answers to Simple Math Word Problems Confuse Large Language Models
ACL 2024
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
ICML 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NeurIPS 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
NeurIPS 2024
RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation
NeurIPS 2024
RCL: Reliable Continual Learning for Unified Failure Detection
CVPR 2024
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
ICLR 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NeurIPS 2024
READ: Improving Relation Extraction from an ADversarial Perspective
NAACL 2024
Reading Does Not Equal Reading: Comparing, Simulating and Exploiting Reading Behavior across Populations
COLING 2024
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
EMNLP 2024
Readout Guidance: Learning Control from Diffusion Features
CVPR 2024
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand
IJCAI 2024