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
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'20
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Papers (including subtopics)
A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning
AAAI 2023
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction
EMNLP 2023
A Comprehensive Evaluation of Tool-Assisted Generation Strategies
EMNLP 2023
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting
EMNLP 2023
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition
ACL 2023
A conformer-based classifier for variable-length utterance processing in anti-spoofing
Interspeech 2023
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
WACV 2023
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya
AAAI 2023
A Contrastive Approach to Online Change Point Detection
AISTATS 2023
A Control-Centric Benchmark for Video Prediction
ICLR 2023
A Coreset Learning Reality Check
AAAI 2023
A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training
RSS 2023
A Coupled Flow Approach to Imitation Learning
ICML 2023
Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling
Interspeech 2023
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction
ACL 2023
A Critical Analysis of Document Out-of-Distribution Detection
EMNLP 2023
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
ICML 2023
ACROSS: An Alignment-based Framework for Low-Resource Many-to-One Cross-Lingual Summarization
ACL 2023
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
CVPR 2023
ACTA: Short-Answer Grading in High-Stakes Medical Exams
ACL 2023
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
NeurIPS 2023
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
ACL 2023
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
AAAI 2023
Action-Conditioned Generation of Bimanual Object Manipulation Sequences
AAAI 2023
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
NeurIPS 2023