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)
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
AAAI 2024
SDMTR: A Brain-inspired Transformer for Relation Inference
AISTATS 2024
SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization
AAAI 2024
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation
CVPR 2024
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
CVPR 2024
Se2: Sequential Example Selection for In-Context Learning
ACL 2024
SeaLLMs - Large Language Models for Southeast Asia
ACL 2024
Search-Adaptor: Embedding Customization for Information Retrieval
ACL 2024
Search if you don’t know! Knowledge-Augmented Korean Grammatical Error Correction with Large Language Models
EMNLP 2024
Searching for Best Practices in Retrieval-Augmented Generation
EMNLP 2024
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
NeurIPS 2024
SEAS: ShapE-Aligned Supervision for Person Re-Identification
CVPR 2024
SecCoder: Towards Generalizable and Robust Secure Code Generation
EMNLP 2024
SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation
ACL 2024
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
CVPR 2024
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning
EMNLP 2024
SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science
EMNLP 2024
Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners
CVPR 2024
Seeing Dark Videos via Self-Learned Bottleneck Neural Representation
AAAI 2024
Seeing Motion at Nighttime with an Event Camera
CVPR 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
EMNLP 2024
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
NeurIPS 2024
Seeing the Unseen: Visual Common Sense for Semantic Placement
CVPR 2024
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly
AAAI 2024
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
EMNLP 2024