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)
Statistically Principled Deep Learning for SAR Image Segmentation
AAAI 2024
Statistical Spatially Inhomogeneous Diffusion Inference
AAAI 2024
STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction
AAAI 2024
Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning
WACV 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
AAAI 2024
Step Differences in Instructional Video
CVPR 2024
Stepping Forward on the Last Mile
NeurIPS 2024
Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models
AAAI 2024
Stereo Conversion With Disparity-Aware Warping, Compositing and Inpainting
WACV 2024
Stereographic Spherical Sliced Wasserstein Distances
ICML 2024
STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
ACL 2024
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
NeurIPS 2024
Stitching Segments and Sentences towards Generalization in Video-Text Pre-training
AAAI 2024
Stochastic Binary Network for Universal Domain Adaptation
WACV 2024
Stochastic Concept Bottleneck Models
NeurIPS 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
NeurIPS 2024
Stochastic positional embeddings improve masked image modeling
ICML 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
NeurIPS 2024
Story Embeddings — Narrative-Focused Representations of Fictional Stories
EMNLP 2024
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
ICLR 2024
StraightPCF: Straight Point Cloud Filtering
CVPR 2024
StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
CVPR 2024
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors
ACL 2024
Stress-Testing Capability Elicitation With Password-Locked Models
NeurIPS 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
AAAI 2024