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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'25
Papers (including subtopics)
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
CVPR 2025
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert
EMNLP 2025
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
ICCV 2025
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
ICLR 2025
LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
ICML 2025
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
CVPR 2025
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
COLING 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
CVPR 2025
LORD: Large Models Based Opposite Reward Design for Autonomous Driving
WACV 2025
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery
UAI 2025
LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
EMNLP 2025
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs
ACL 2025
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models
ACL 2025
Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement
EMNLP 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
ACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge
NAACL 2025
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models
ACL 2025
Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues
CVPR 2025
Lost in Variation: An Unsupervised Methodology for Mining Lexico-syntactic Patterns in Middle Arabic Texts
COLING 2025
LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing
ICCV 2025
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences
ACL 2025
Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion Classification
SemEval 2025
LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table
CVPR 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
CVPR 2025
Low-Biased General Annotated Dataset Generation
CVPR 2025