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)
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
ACL 2024
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
EMNLP 2024
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
NAACL 2024
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
EMNLP 2024
Evidence Retrieval is almost All You Need for Fact Verification
ACL 2024
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
CVPR 2024
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
NeurIPS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
NeurIPS 2024
Evidential Uncertainty Quantification: A Variance-Based Perspective
WACV 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
NeurIPS 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
ICML 2024
Evolutionary Contrastive Distillation for Language Model Alignment
EMNLP 2024
Evolutionary Generalized Zero-Shot Learning
IJCAI 2024
Evolution-Inspired Loss Functions for Protein Representation Learning
ICML 2024
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts
WACV 2024
Evolving Knowledge Distillation with Large Language Models and Active Learning
COLING 2024
Evolving Parameterized Prompt Memory for Continual Learning
AAAI 2024
Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding
ECCV 2024
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding
ACL 2024
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
AAAI 2024
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation
CVPR 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
NeurIPS 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
AAAI 2024
Examining Temporalities on Stance Detection towards COVID-19 Vaccination
COLING 2024
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
ACL 2024