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)
Privately Aligning Language Models with Reinforcement Learning
ICLR 2024
PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection
WACV 2024
Probabilistically Rewired Message-Passing Neural Networks
ICLR 2024
Probabilistic Calibration by Design for Neural Network Regression
AISTATS 2024
Probabilistic Contrastive Learning for Domain Adaptation
IJCAI 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
AAAI 2024
Probabilistic reconciliation of mixed-type hierarchical time series
UAI 2024
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
ICLR 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
NeurIPS 2024
Probabilities of Causation with Nonbinary Treatment and Effect
AAAI 2024
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection
EACL 2024
Probing Language Models for Pre-training Data Detection
ACL 2024
Probing the 3D Awareness of Visual Foundation Models
CVPR 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
NeurIPS 2024
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
AAAI 2024
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
NeurIPS 2024
ProConSuL: Project Context for Code Summarization with LLMs
EMNLP 2024
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search
COLING 2024
ProcSim: Proxy-Based Confidence for Robust Similarity Learning
WACV 2024
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
CVPR 2024
Product Description and QA Assisted Self-Supervised Opinion Summarization
NAACL 2024
PRODuctive bandits: Importance Weighting No More
NeurIPS 2024
ProG: A Graph Prompt Learning Benchmark
NeurIPS 2024
PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
ICLR 2024