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)
Sample-efficient Bayesian Optimisation Using Known Invariances
NeurIPS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization
NeurIPS 2024
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
ICLR 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
ICLR 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
AISTATS 2024
Sample-Efficient Quality-Diversity by Cooperative Coevolution
ICLR 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
AAAI 2024
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
AAAI 2024
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
COLT 2024
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
NeurIPS 2024
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
AISTATS 2024
Samsung R&D Institute Philippines @ WMT 2024 Indic MT Task
EMNLP 2024
SAOR: Single-View Articulated Object Reconstruction
CVPR 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
ACL 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
NeurIPS 2024
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training
AAAI 2024
SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
AAAI 2024
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
NeurIPS 2024
Satyrn: A Platform for Analytics Augmented Generation
EMNLP 2024
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection
AAAI 2024
SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech
Interspeech 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
EMNLP 2024
Scalable Early Childhood Reading Performance Prediction
NeurIPS 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
EMNLP 2024
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
JMLR 2024