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)
Implicit Curriculum in Procgen Made Explicit
NeurIPS 2024
Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
CVPR 2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
NeurIPS 2024
Implicit meta-learning may lead language models to trust more reliable sources
ICML 2024
Implicit Neural Representation for Change Detection
WACV 2024
Implicit Prompt Learning for Image Denoising
IJCAI 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
NeurIPS 2024
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
ICLR 2024
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
NeurIPS 2024
Improved Active Learning via Dependent Leverage Score Sampling
ICLR 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
AISTATS 2024
Improved Analysis for Bandit Learning in Matching Markets
NeurIPS 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
NeurIPS 2024
Improve Dense Passage Retrieval with Entailment Tuning
EMNLP 2024
Improved Factorized Neural Transducer Model For Text-only Domain Adaptation
Interspeech 2024
Improved Generalization of Weight Space Networks via Augmentations
ICML 2024
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
NeurIPS 2024
Improved Graph Contrastive Learning for Short Text Classification
AAAI 2024
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability
COLT 2024
Improved off-policy training of diffusion samplers
NeurIPS 2024
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
ICLR 2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
AISTATS 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback
NeurIPS 2024
Improved Regret of Linear Ensemble Sampling
NeurIPS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes
AISTATS 2024