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
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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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Papers (including subtopics)
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
ACL 2024
ComCLIP: Training-Free Compositional Image and Text Matching
NAACL 2024
CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
NeurIPS 2024
Common Event Tethering to Improve Prediction of Rare Clinical Events
UAI 2024
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning
IJCAI 2024
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
EMNLP 2024
Communicate to Play: Pragmatic Reasoning for Efficient Cross-Cultural Communication
EMNLP 2024
Communication Bounds for the Distributed Experts Problem
NeurIPS 2024
Communication-Efficient Federated Group Distributionally Robust Optimization
NeurIPS 2024
Communication-Efficient Federated Non-Linear Bandit Optimization
ICLR 2024
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
EMNLP 2024
Community-Invariant Graph Contrastive Learning
ICML 2024
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
ICLR 2024
Compact Proofs of Model Performance via Mechanistic Interpretability
NeurIPS 2024
Comparing News Framing of Migration Crises using Zero-Shot Classification
COLING 2024
Comparing panic and anxiety on a dataset collected from social media
EACL 2024
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
AAAI 2024
Comparing Tools for Sentiment Analysis of Danish Literature from Hymns to Fairy Tales: Low-Resource Language and Domain Challenges
ACL 2024
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints
AISTATS 2024
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs
ACL 2024
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
ICLR 2024
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
AAAI 2024
Composite Backdoor Attacks Against Large Language Models
NAACL 2024
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions
AAAI 2024
Compositional Chain-of-Thought Prompting for Large Multimodal Models
CVPR 2024