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)
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation
WACV 2024
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
ICML 2024
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
NeurIPS 2024
OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images
IJCAI 2024
Outcome-Constrained Large Language Models for Countering Hate Speech
EMNLP 2024
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples
AAAI 2024
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
NeurIPS 2024
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
ICLR 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
AAAI 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
EMNLP 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
NeurIPS 2024
Out-Of-Distribution Detection with Diversification (Provably)
NeurIPS 2024
Out-Of-Domain Unlabeled Data Improves Generalization
ICLR 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
AAAI 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
ACL 2024
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning
WACV 2024
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
NeurIPS 2024
Overcoming Early Saturation on Low-Resource Languages in Multilingual Dependency Parsing
COLING 2024
Overcoming Generic Knowledge Loss with Selective Parameter Update
CVPR 2024
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
NeurIPS 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
NAACL 2024
Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data
Interspeech 2024
Overview of Shared Task on Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes
EACL 2024
Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese
ACL 2024