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)
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
CVPR 2024
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)
AAAI 2024
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation
EMNLP 2024
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
NeurIPS 2024
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation
EMNLP 2024
LAMM: Label Alignment for Multi-Modal Prompt Learning
AAAI 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
AAAI 2024
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
ACL 2024
LaneCPP: Continuous 3D Lane Detection using Physical Priors
CVPR 2024
LangSplat: 3D Language Gaussian Splatting
CVPR 2024
Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn’t
ACL 2024
Language-conditioned Detection Transformer
CVPR 2024
Language-Driven Anchors for Zero-Shot Adversarial Robustness
CVPR 2024
Language-driven Grasp Detection
CVPR 2024
Language-Driven Interactive Traffic Trajectory Generation
NeurIPS 2024
Language-guided Image Reflection Separation
CVPR 2024
Language-Informed Visual Concept Learning
ICLR 2024
Language Model Guided Interpretable Video Action Reasoning
CVPR 2024
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
ACL 2024
Language Models as Black-Box Optimizers for Vision-Language Models
CVPR 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
EMNLP 2024
Language Models as Semantic Indexers
ICML 2024
Language-only Training of Zero-shot Composed Image Retrieval
CVPR 2024
Language-to-Code Translation with a Single Labeled Example
EMNLP 2024
LAN: Learning to Adapt Noise for Image Denoising
CVPR 2024