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)
Exploring Model Dynamics for Accumulative Poisoning Discovery
ICML 2023
Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models
Interspeech 2023
Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks
AAAI 2023
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only
ICCV 2023
Exploring perceptual straightness in learned visual representations
ICLR 2023
Exploring Question Decomposition for Zero-Shot VQA
NeurIPS 2023
Exploring Robust Overfitting for Pre-trained Language Models
ACL 2023
Exploring Safety Supervision for Continual Test-time Domain Adaptation
IJCAI 2023
Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction
AAAI 2023
Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization
ACL 2023
Exploring Stochastic Autoregressive Image Modeling for Visual Representation
AAAI 2023
Exploring Stroke-Level Modifications for Scene Text Editing
AAAI 2023
Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels
CVPR 2023
Exploring Temporal Concurrency for Video-Language Representation Learning
ICCV 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 2023
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing
ACL 2023
Exploring the Curious Case of Code Prompts
ACL 2023
Exploring the Effectiveness of Prompt Engineering for Legal Reasoning Tasks
ACL 2023
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language
CVPR 2023
Exploring the Impact of Back-End Network on Wav2vec 2.0 for Dialect Identification
Interspeech 2023
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models
EMNLP 2023
Exploring the Impact of Pretrained Models and Web-Scraped Data for the 2022 NIST Language Recognition Evaluation
Interspeech 2023
Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect
ACL 2023
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective
AAAI 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
ICML 2023