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)
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
CVPR 2024
MOSEL: Inference Serving Using Dynamic Modality Selection
EMNLP 2024
MoST: Multi-Modality Scene Tokenization for Motion Prediction
CVPR 2024
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
NeurIPS 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
CVPR 2024
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
NeurIPS 2024
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
AAAI 2024
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
AAAI 2024
Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement
WACV 2024
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
AAAI 2024
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
NeurIPS 2024
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
CVPR 2024
Moving Off-the-Grid: Scene-Grounded Video Representations
NeurIPS 2024
MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning
ACL 2024
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
ACL 2024
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
CVPR 2024
MR-VNet: Media Restoration using Volterra Networks
CVPR 2024
MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production
ACL 2024
MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions
NeurIPS 2024
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
AAAI 2024
msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression
AAAI 2024
MSU-4S - The Michigan State University Four Seasons Dataset
CVPR 2024
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval
EMNLP 2024
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations
ACL 2024