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
'15
'20
'25
Papers (including subtopics)
Entity Contrastive Learning in a Large-Scale Virtual Assistant System
ACL 2023
Entity Disambiguation on a Tight Labeling Budget
EMNLP 2023
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
ICML 2023
Entropy Regularization for Population Estimation
AAAI 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
NeurIPS 2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
ICCV 2023
Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation
ACL 2023
EPIC: Multi-Perspective Annotation of a Corpus of Irony
ACL 2023
Episodic Memory For Domain-Adaptable, Robust Speech Emotion Recognition
Interspeech 2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
EMNLP 2023
Equilibrium Point Learning
ACML 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
AAAI 2023
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
NeurIPS 2023
Equivariant Neural Operator Learning with Graphon Convolution
NeurIPS 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
NeurIPS 2023
Equivariant Representation Learning via Class-Pose Decomposition
AISTATS 2023
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation
AAAI 2023
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
ICLR 2023
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
CVPR 2023
Error Detection for Text-to-SQL Semantic Parsing
EMNLP 2023
Error Estimation for Random Fourier Features
AISTATS 2023
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
ICLR 2023
Ertim at SemEval-2023 Task 2: Fine-tuning of Transformer Language Models and External Knowledge Leveraging for NER in Farsi, English, French and Chinese
SemEval 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
AAAI 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
AAAI 2023