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
'5
'10
'15
'20
'25
Papers (including subtopics)
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
WACV 2024
Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence
IJCAI 2024
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
NeurIPS 2024
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)
IJCAI 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
IJCAI 2024
A LLM-based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
EMNLP 2024
All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual Relatedness
SemEval 2024
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
CVPR 2024
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation
ACL 2024
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
NeurIPS 2024
AlpaGasus: Training a Better Alpaca with Fewer Data
ICLR 2024
AlphaMath Almost Zero: Process Supervision without Process
NeurIPS 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
NeurIPS 2024
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
AAAI 2024
ALVIN: Active Learning Via INterpolation
EMNLP 2024
Amalgamating Multi-Task Models with Heterogeneous Architectures
AAAI 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
NAACL 2024
A Mapping on Current Classifying Categories of Emotions Used in Multimodal Models for Emotion Recognition
EACL 2024
A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality
COLING 2024
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
EMNLP 2024
AMD: Autoregressive Motion Diffusion
AAAI 2024
AMEND: Adaptive Margin and Expanded Neighborhood for Efficient Generalized Category Discovery
WACV 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
NeurIPS 2024
AMLB: an AutoML Benchmark
JMLR 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection
NeurIPS 2024