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)
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
CVPR 2024
LQMFormer: Language-aware Query Mask Transformer for Referring Image Segmentation
CVPR 2024
LRM-Zero: Training Large Reconstruction Models with Synthesized Data
NeurIPS 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
AAAI 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
NeurIPS 2024
LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification
AAAI 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
ACL 2024
LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
CVPR 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
CVPR 2024
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
NeurIPS 2024
LumberChunker: Long-Form Narrative Document Segmentation
EMNLP 2024
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
NeurIPS 2024
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
CVPR 2024
M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation
Interspeech 2024
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis
AAAI 2024
M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets
COLING 2024
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
AAAI 2024
M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding
WACV 2024
M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
ACL 2024
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
ACL 2024
m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt
COLING 2024
MACAROON: Training Vision-Language Models To Be Your Engaged Partners
EMNLP 2024
MACE: Mass Concept Erasure in Diffusion Models
CVPR 2024
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
EMNLP 2024
MACP: Efficient Model Adaptation for Cooperative Perception
WACV 2024