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
'25
Papers (including subtopics)
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack
AAAI 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
NeurIPS 2024
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint)
AAAI 2024
Exploiting Auxiliary Caption for Video Grounding
AAAI 2024
Exploiting Class Probabilities for Black-box Sentence-level Attacks
EACL 2024
Exploiting CLIP for Zero-Shot HOI Detection Requires Knowledge Distillation at Multiple Levels
WACV 2024
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
IJCAI 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
NeurIPS 2024
Exploiting Diffusion Prior for Generalizable Dense Prediction
CVPR 2024
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection
AAAI 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
AAAI 2024
Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization
ACL 2024
Exploiting Label Skews in Federated Learning with Model Concatenation
AAAI 2024
Exploiting Multi-Label Correlation in Label Distribution Learning
IJCAI 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
ACL 2024
Exploiting Representation Curvature for Boundary Detection in Time Series
NeurIPS 2024
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
CVPR 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
ECCV 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
NeurIPS 2024
Exploiting Wavelet Scattering Transform for an Unsupervised Speaker Diarization in Deep Neural Network Framework
Interspeech 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
EMNLP 2024
Exploration by Learning Diverse Skills through Successor State Representations
NeurIPS 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
JMLR 2024
Exploration via linearly perturbed loss minimisation
AISTATS 2024
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
NeurIPS 2024