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)
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
EMNLP 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
EMNLP 2024
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization
AAAI 2024
Optimizing Language Models for Human Preferences is a Causal Inference Problem
UAI 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
EMNLP 2024
Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes
AAAI 2024
Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs
EACL 2024
Oracle Efficient Algorithms for Groupwise Regret
ICLR 2024
Oracle-Efficient Hybrid Online Learning with Unknown Distribution
COLT 2024
Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits
AISTATS 2024
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
CVPR 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
NeurIPS 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
CVPR 2024
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity
EACL 2024
Order-Independence Without Fine Tuning
NeurIPS 2024
Order of Magnitude Speedups for LLM Membership Inference
EMNLP 2024
ORPO: Monolithic Preference Optimization without Reference Model
EMNLP 2024
Orthogonal Adaptation for Modular Customization of Diffusion Models
CVPR 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
AISTATS 2024
Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations
Interspeech 2024
ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks
COLING 2024
OR-TSE: An Overlap-Robust Speaker Encoder for Target Speech Extraction
Interspeech 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
NeurIPS 2024
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition
CVPR 2024
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
NeurIPS 2024