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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'20
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Papers (including subtopics)
A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis
EMNLP 2023
A Multi-task Learning Framework for Quality Estimation
ACL 2023
A Multi-Task Learning Framework for Sound Event Detection using High-level Acoustic Characteristics of Sounds
Interspeech 2023
An ε-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
NeurIPS 2023
An active learning framework for multi-group mean estimation
NeurIPS 2023
An Active Learning Pipeline for NLU Error Detection in Conversational Agents
ACL 2023
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
CVPR 2023
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
ICML 2023
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data
AAAI 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
ICCV 2023
ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models
ACL 2023
Analogical Inference Enhanced Knowledge Graph Embedding
AAAI 2023
Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study
EMNLP 2023
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
AISTATS 2023
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast
ACL 2023
Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic
EMNLP 2023
Analyzing Multi-Sentence Aggregation in Abstractive Summarization via the Shapley Value
EMNLP 2023
Analyzing Pre-trained and Fine-tuned Language Models
EMNLP 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
NeurIPS 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
ACL 2023
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
ICLR 2023
An Analysis of Robustness of Non-Lipschitz Networks
JMLR 2023
Anaphor Assisted Document-Level Relation Extraction
EMNLP 2023
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
ICCV 2023
An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients
Interspeech 2023