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)
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation
AAAI 2024
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
AAAI 2024
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
COLT 2024
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning
CLeaR 2024
Low-rank Matrix Bandits with Heavy-tailed Rewards
UAI 2024
Low-rank MDPs with Continuous Action Spaces
AISTATS 2024
Low-Rank Similarity Mining for Multimodal Dataset Distillation
ICML 2024
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
CVPR 2024
Low Resource ICD Coding of Hospital Discharge Summaries
ACL 2024
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
EMNLP 2024
Low-Resource Vision Challenges for Foundation Models
CVPR 2024
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
CVPR 2024
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
ICLR 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
AAAI 2024
LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning
IJCAI 2024
LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification
AAAI 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
ACL 2024
LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect
NeurIPS 2024
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
NeurIPS 2024
LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment
NeurIPS 2024
LumberChunker: Long-Form Narrative Document Segmentation
EMNLP 2024
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
NeurIPS 2024
LUQ: Long-text Uncertainty Quantification for LLMs
EMNLP 2024
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
CVPR 2024
M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation
Interspeech 2024