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)
Simple Semantic-Aided Few-Shot Learning
CVPR 2024
SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification
WACV 2024
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
AAAI 2024
Simulating Expert Discussions with Multi-agent for Enhanced Scientific Problem Solving
ACL 2024
Simulation-Free Training of Neural ODEs on Paired Data
NeurIPS 2024
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models
ACL 2024
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
EMNLP 2024
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation
EMNLP 2024
Sing it, Narrate it: Quality Musical Lyrics Translation
EMNLP 2024
Single Domain Generalization for Crowd Counting
CVPR 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
NeurIPS 2024
Single-Model and Any-Modality for Video Object Tracking
CVPR 2024
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
CVPR 2024
Single-View Scene Point Cloud Human Grasp Generation
CVPR 2024
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
CVPR 2024
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
CVPR 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
CVPR 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
NeurIPS 2024
Skills-in-Context: Unlocking Compositionality in Large Language Models
EMNLP 2024
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
AAAI 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
NeurIPS 2024
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
ICML 2024
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract)
AAAI 2024
Sliced Wasserstein with Random-Path Projecting Directions
ICML 2024