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)
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
NeurIPS 2024
Scaling Sentence Embeddings with Large Language Models
EMNLP 2024
Scaling Up Dynamic Human-Scene Interaction Modeling
CVPR 2024
Scaling up masked audio encoder learning for general audio classification
Interspeech 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
AAAI 2024
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
CVPR 2024
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
AAAI 2024
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
CVPR 2024
Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)
AAAI 2024
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement
EMNLP 2024
SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences
ACL 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
EMNLP 2024
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
WACV 2024
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views
AAAI 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
CVPR 2024
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation
EMNLP 2024
SCoRe: Submodular Combinatorial Representation Learning
ICML 2024
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression
AAAI 2024
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label
AAAI 2024
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
NeurIPS 2024
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
CVPR 2024
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
CVPR 2024
SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
CVPR 2024
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
CVPR 2024
SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing
AAAI 2024