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)
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
AAAI 2024
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)
AAAI 2024
Spatio-Spectral Graph Neural Networks
NeurIPS 2024
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
AAAI 2024
Spatio-Temporal Turbulence Mitigation: A Translational Perspective
CVPR 2024
SpeAr: A Spectral Approach for Zero-Shot Node Classification
NeurIPS 2024
Spectral Editing of Activations for Large Language Model Alignment
NeurIPS 2024
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
AAAI 2024
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
AAAI 2024
Speculative Contrastive Decoding
ACL 2024
SpeechAlign: Aligning Speech Generation to Human Preferences
NeurIPS 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection
NeurIPS 2024
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models
ACL 2024
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation
ACL 2024
Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?
ACL 2024
Speechworthy Instruction-tuned Language Models
EMNLP 2024
Speedy Gonzales: A Collection of Fast Task-Specific Models for Spanish
NAACL 2024
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
NeurIPS 2024
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
AAAI 2024
Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment
CVPR 2024
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
CVPR 2024
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
NeurIPS 2024
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
AAAI 2024
Spiking Denoising Diffusion Probabilistic Models
WACV 2024
SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
ACL 2024