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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'10
'15
'20
'25
Papers (including subtopics)
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
ACL 2024
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
EMNLP 2024
Long-range Brain Graph Transformer
NeurIPS 2024
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction
CVPR 2024
Long-Tailed Anomaly Detection with Learnable Class Names
CVPR 2024
Long-Tailed Learning as Multi-Objective Optimization
AAAI 2024
Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
NeurIPS 2024
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
AAAI 2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024
Long-Term Fair Decision Making through Deep Generative Models
AAAI 2024
Long-Term Safe Reinforcement Learning with Binary Feedback
AAAI 2024
LongWanjuan: Towards Systematic Measurement for Long Text Quality
EMNLP 2024
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
ICML 2024
Lookback Prophet Inequalities
NeurIPS 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
NeurIPS 2024
Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
CVPR 2024
Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa
EACL 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
NeurIPS 2024
LoRA-MER: Low-Rank Adaptation of Pre-Trained Speech Models for Multimodal Emotion Recognition Using Mutual Information
Interspeech 2024
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
ACL 2024
LoRA Training in the NTK Regime has No Spurious Local Minima
ICML 2024
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
CVPR 2024
Lost Your Style? Navigating With Semantic-Level Approach for Text-To-Outfit Retrieval
WACV 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
NeurIPS 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
CVPR 2024