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)
Entropic Open-Set Active Learning
AAAI 2024
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
ICLR 2024
Environment Curriculum Generation via Large Language Models
CoRL 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
NeurIPS 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
AAAI 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks
CVPR 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
AAAI 2024
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
ICML 2024
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context
AAAI 2024
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems
AISTATS 2024
Equivariant Multi-Modality Image Fusion
CVPR 2024
Equivariant Neural Diffusion for Molecule Generation
NeurIPS 2024
Equivariant Plug-and-Play Image Reconstruction
CVPR 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
ICML 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
NeurIPS 2024
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
AAAI 2024
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments
CVPR 2024
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
NeurIPS 2024
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
ACL 2024
Error bounds for any regression model using Gaussian processes with gradient information
AISTATS 2024
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
NeurIPS 2024
Error Detection in Egocentric Procedural Task Videos
CVPR 2024
ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations
CVPR 2024
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
CVPR 2024
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
EMNLP 2024