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)
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation
AAAI 2024
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
CVPR 2024
SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization
ACL 2024
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
ACL 2024
Supervised Anomaly Detection for Complex Industrial Images
CVPR 2024
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
AAAI 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
NeurIPS 2024
Suppressing Uncertainty in Gaze Estimation
AAAI 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
CVPR 2024
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
EMNLP 2024
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
AAAI 2024
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
EMNLP 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
NeurIPS 2024
SWAG: Storytelling With Action Guidance
EMNLP 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
NeurIPS 2024
SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting
CVPR 2024
Symmetry-Informed Governing Equation Discovery
NeurIPS 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale
NeurIPS 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining
CVPR 2024
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models
ACL 2024
Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
AAAI 2024
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems
EMNLP 2024
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization
EMNLP 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
NeurIPS 2024