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
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'10
'15
'20
'25
Papers (including subtopics)
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
CVPR 2023
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models
AAAI 2023
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching
EMNLP 2023
AlignScore: Evaluating Factual Consistency with A Unified Alignment Function
ACL 2023
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
NeurIPS 2023
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning
NeurIPS 2023
ALIP: Adaptive Language-Image Pre-Training with Synthetic Caption
ICCV 2023
“A Little is Enough”: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation
ACL 2023
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
ICCV 2023
ALL-E: Aesthetics-guided Low-light Image Enhancement
IJCAI 2023
Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation
ICCV 2023
Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization
ACL 2023
Alleviating Over-smoothing for Unsupervised Sentence Representation
ACL 2023
Allies: Prompting Large Language Model with Beam Search
EMNLP 2023
All in One: Exploring Unified Video-Language Pre-Training
CVPR 2023
All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations
CVPR 2023
Allocating Divisible Resources on Arms with Unknown and Random Rewards
COLT 2023
Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
Interspeech 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
NeurIPS 2023
Almost Cost-Free Communication in Federated Best Arm Identification
AAAI 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
NeurIPS 2023
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
ICCV 2023
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
NeurIPS 2023
ALPINE: Improving Remote Heart Rate Estimation Using Contrastive Learning
WACV 2023
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
CVPR 2023