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)
Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering
ACL 2024
Spivavtor: An Instruction Tuned Ukrainian Text Editing Model
COLING 2024
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
CVPR 2024
Split Conformal Prediction and Non-Exchangeable Data
JMLR 2024
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
CVPR 2024
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
CVPR 2024
Spotting AI’s Touch: Identifying LLM-Paraphrased Spans in Text
ACL 2024
SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
CVPR 2024
SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer’s Disease Detection
ACL 2024
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
EMNLP 2024
SRCB at #SMM4H 2024: Making Full Use of LLM-based Data Augmentation in Adverse Drug Event Extraction and Normalization
ACL 2024
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework
EMNLP 2024
SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024
EMNLP 2024
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
ICLR 2024
SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling
CVPR 2024
SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation
NeurIPS 2024
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models
EMNLP 2024
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
EMNLP 2024
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation
EMNLP 2024
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
ACL 2024
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
AAAI 2024
StackEval: Benchmarking LLMs in Coding Assistance
NeurIPS 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
NeurIPS 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
NeurIPS 2024
Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements
CVPR 2024