Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
ICLR 2023
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning
AAAI 2023
HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction
EMNLP 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning
NeurIPS 2023
Hypotheses Tree Building for One-Shot Temporal Sentence Localization
AAAI 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
ICML 2023
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context
ACL 2023
I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers
SemEval 2023
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
CVPR 2023
I2R’s End-to-End Speech Translation System for IWSLT 2023 Offline Shared Task
ACL 2023
IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding
EMNLP 2023
IBA: Towards Irreversible Backdoor Attacks in Federated Learning
NeurIPS 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICCV 2023
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
ICCV 2023
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition
CVPR 2023
i-Code: An Integrative and Composable Multimodal Learning Framework
AAAI 2023
iDAG: Invariant DAG Searching for Domain Generalization
ICCV 2023
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
NeurIPS 2023
Ideal Abstractions for Decision-Focused Learning
AISTATS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
NeurIPS 2023
Identifiability of Label Noise Transition Matrix
ICML 2023
Identifiability Results for Multimodal Contrastive Learning
ICLR 2023
Identifiable Contrastive Learning with Automatic Feature Importance Discovery
NeurIPS 2023
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance
AAAI 2023