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)
Small batch deep reinforcement learning
NeurIPS 2023
SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation
CVPR 2023
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
ACL 2023
SmartSpanNER: Making SpanNER Robust in Low Resource Scenarios
EMNLP 2023
Smart Word Suggestions for Writing Assistance
ACL 2023
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
CVPR 2023
Smoothness Similarity Regularization for Few-Shot GAN Adaptation
ICCV 2023
Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model
ACL 2023
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
NeurIPS 2023
Soft Augmentation for Image Classification
CVPR 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
NeurIPS 2023
Solving Math Word Problems via Cooperative Reasoning induced Language Models
ACL 2023
So many design choices: Improving and interpreting neural agent communication in signaling games
ACL 2023
Some Voices are Too Common: Building Fair Speech Recognition Systems Using the CommonVoice Dataset
Interspeech 2023
Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio
NeurIPS 2023
Sound of Story: Multi-modal Storytelling with Audio
EMNLP 2023
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment
CVPR 2023
Source-Free Adaptive Gaze Estimation by Uncertainty Reduction
CVPR 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
NeurIPS 2023
Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Tracking
ACL 2023
SPARF: Neural Radiance Fields From Sparse and Noisy Poses
CVPR 2023
Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation
EMNLP 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
AAAI 2023
Sparse Distributed Memory is a Continual Learner
ICLR 2023
Sparse Frame Grouping Network with Action Centered for Untrimmed Video Paragraph Captioning
EMNLP 2023