Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Improving Chinese Pop Song and Hokkien Gezi Opera Singing Voice Synthesis by Enhancing Local Modeling
EMNLP 2023
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers
ACL 2023
Improving CLIP Fine-tuning Performance
ICCV 2023
Improving CLIP Training with Language Rewrites
NeurIPS 2023
Improving Consistency for Text Summarization with Energy Functions
EMNLP 2023
Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning
EMNLP 2023
Improving Continual Relation Extraction by Distinguishing Analogous Semantics
ACL 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
ACL 2023
Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE
EMNLP 2023
Improving Cross-lingual Transfer through Subtree-aware Word Reordering
EMNLP 2023
Improving Cross-modal Alignment for Text-Guided Image Inpainting
EACL 2023
Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition
EMNLP 2023
Improving Distantly Supervised Relation Extraction by Natural Language Inference
AAAI 2023
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
ICCV 2023
Improving Diversity With Adversarially Learned Transformations for Domain Generalization
WACV 2023
Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning
ACL 2023
Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information
ACL 2023
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts
ACL 2023
Improving Expert Predictions with Conformal Prediction
ICML 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment
EMNLP 2023
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
ACL 2023
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality
ACL 2023
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
CVPR 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
NeurIPS 2023