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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'20
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Papers (including subtopics)
Pre-training General User Representation with Multi-type APP Behaviors
IJCAI 2024
Pretraining Language Models Using Translationese
EMNLP 2024
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
ICML 2024
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays
MIDL 2024
Pre-training Vision Models with Mandelbulb Variations
CVPR 2024
Pre-training with Random Orthogonal Projection Image Modeling
ICLR 2024
Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study
EACL 2024
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
AISTATS 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
NeurIPS 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
NeurIPS 2024
PRewrite: Prompt Rewriting with Reinforcement Learning
ACL 2024
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
EMNLP 2024
Pricing and Competition for Generative AI
NeurIPS 2024
Principal-Agent Reward Shaping in MDPs
AAAI 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation
AISTATS 2024
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
ICLR 2024
Prior Knowledge-Guided Adversarial Training
ACL 2024
Prior Relational Schema Assists Effective Contrastive Learning for Inductive Knowledge Graph Completion
COLING 2024
PRISM: A New Lens for Improved Color Understanding
EMNLP 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
NeurIPS 2024
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
AISTATS 2024
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
NeurIPS 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning
AISTATS 2024
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
ICLR 2024
Private Learning with Public Features
AISTATS 2024