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)
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
NeurIPS 2024
Active Set Ordering
NeurIPS 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
ICLR 2024
Active Transfer Learning for Efficient Video-Specific Human Pose Estimation
WACV 2024
Activity-Based Early Autism Diagnosis Using a Multi-Dataset Supervised Contrastive Learning Approach
WACV 2024
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
NeurIPS 2024
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization
ACL 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models
ACL 2024
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
EMNLP 2024
AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product
COLING 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning
ICLR 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
NeurIPS 2024
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
NeurIPS 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers
EMNLP 2024
Adapters Strike Back
CVPR 2024
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract)
AAAI 2024
Adapting LLM Predictions in In-Context Learning with Data Priors
EMNLP 2024
Adapting LLM to Multi-lingual ESG Impact and Length Prediction Using In-context Learning and Fine-Tuning with Rationale
COLING 2024
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
ICML 2024
Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training
ACML 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
ICLR 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
CVPR 2024
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning
EMNLP 2024
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
NeurIPS 2024
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
AAAI 2024