Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video
CVPR 2025
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion
ICCV 2025
LIP-NER: Literal Patterns Benefit LLM-Based NER
ACL 2025
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing
Interspeech 2025
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs
Interspeech 2025
Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
ACL 2025
LIST: Language-Independent Speech Token for Multilingual Speech Synthesis with Language Models
Interspeech 2025
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
ACL 2025
Little Giants: Synthesizing High-Quality Embedding Data at Scale
NAACL 2025
LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale
CVPR 2025
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
ACL 2025
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
ICCV 2025
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering
ACL 2025
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
AAAI 2025
LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study
NAACL 2025
LLM Attributor: Interactive Visual Attribution for LLM Generation
AAAI 2025
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
EMNLP 2025
LLM-Based Dialogue Labeling for Multiturn Adaptive RAG
EMNLP 2025
LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context
Interspeech 2025
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
ACL 2025
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
ACL 2025
LLM Bias Detection and Mitigation through the Lens of Desired Distributions
EMNLP 2025
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
NAACL 2025
LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
CVPR 2025
LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions
EMNLP 2025