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)
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
ACL 2024
Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning
AAAI 2024
Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
CVPR 2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
EMNLP 2024
LEDITS++: Limitless Image Editing using Text-to-Image Models
CVPR 2024
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
EMNLP 2024
Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation
ACL 2024
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
EMNLP 2024
LEOD: Label-Efficient Object Detection for Event Cameras
CVPR 2024
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
EMNLP 2024
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
EMNLP 2024
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
AAAI 2024
Let Go of Your Labels with Unsupervised Transfer
ICML 2024
Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction
CoRL 2024
Let's do the time-warp-attend: Learning topological invariants of dynamical systems
ICLR 2024
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification
WACV 2024
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement
WACV 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
NeurIPS 2024
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
CVPR 2024
Leveraging Graph Structures to Detect Hallucinations in Large Language Models
ACL 2024
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
AAAI 2024
Leveraging Linguistically Enhanced Embeddings for Open Information Extraction
COLING 2024
Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English
ACL 2024
Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions
EMNLP 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NeurIPS 2024