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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Papers (including subtopics)
ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement
Interspeech 2024
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning
AAAI 2024
An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios
Interspeech 2024
An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions
EMNLP 2024
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
IJCAI 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
AAAI 2024
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS
Interspeech 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
ICLR 2024
An L* Algorithm for Deterministic Weighted Regular Languages
EMNLP 2024
An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification
EMNLP 2024
An LLM-Enhanced Adversarial Editing System for Lexical Simplification
COLING 2024
An NCDE-based Framework for Universal Representation Learning of Time Series
IJCAI 2024
Annealing Self-Distillation Rectification Improves Adversarial Training
ICLR 2024
Annotation Scheme for English Argument Structure Constructions Treebank
EACL 2024
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
COLING 2024
Annotator-Centric Active Learning for Subjective NLP Tasks
EMNLP 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?
CVPR 2024
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
AAAI 2024
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
CVPR 2024
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
CVPR 2024
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning
IJCAI 2024
An Online Bootstrap for Time Series
AISTATS 2024
A Non-parametric Graph Clustering Framework for Multi-View Data
AAAI 2024
An operator preconditioning perspective on training in physics-informed machine learning
ICLR 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024