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)
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
CVPR 2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
ICLR 2024
Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation
COLING 2024
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
ICLR 2024
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
CVPR 2024
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
ICLR 2024
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval
AAAI 2024
Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning
CVPR 2024
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
NeurIPS 2024
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
JMLR 2024
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning
WACV 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
AAAI 2024
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
EMNLP 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
NeurIPS 2024
A Dataset for Multi-Scale Film Rating Inference from Reviews
COLING 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
EMNLP 2024
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation
NeurIPS 2024
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
CVPR 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
ICLR 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
ACL 2024
A decoder-only foundation model for time-series forecasting
ICML 2024
A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translations
EMNLP 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
ACL 2024
A deep learning pipeline for the palaeographical dating of ancient Greek papyrus fragments
ACL 2024