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)
Is ChatGPT a Good Multi-Party Conversation Solver?
EMNLP 2023
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction
ACL 2023
Is ChatGPT the ultimate Data Augmentation Algorithm?
EMNLP 2023
Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts
ACL 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
ACL 2023
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
ICLR 2023
Is German secretly a Slavic language? What BERT probing can tell us about language groups
EACL 2023
Is GPT-3 a Good Data Annotator?
ACL 2023
Is GPT-4 a Good Data Analyst?
EMNLP 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
NeurIPS 2023
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
ICCV 2023
Is interpolation benign for random forest regression?
AISTATS 2023
ISL-AAST at NADI 2023 shared task: Enhancing Arabic Dialect Identification in the Era of Globalization and Technological Progress
EMNLP 2023
Is Learning Summary Statistics Necessary for Likelihood-free Inference?
ICML 2023
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
AAAI 2023
Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models
EMNLP 2023
Isotropy-Enhanced Conditional Masked Language Models
EMNLP 2023
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
ACL 2023
Is Robustness Transferable across Languages in Multilingual Neural Machine Translation?
EMNLP 2023
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
ICLR 2023
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
NeurIPS 2023
Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection
WACV 2023
Iterative Approximate Cross-Validation
ICML 2023
Iterative Circuit Repair Against Formal Specifications
ICLR 2023
Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising
ICCV 2023