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)
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)
AAAI 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
NeurIPS 2022
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
NeurIPS 2022
Source-Free Domain Adaptation via Distribution Estimation
CVPR 2022
Source-Free Object Detection by Learning To Overlook Domain Style
CVPR 2022
SPAct: Self-Supervised Privacy Preservation for Action Recognition
CVPR 2022
SPAMs: Structured Implicit Parametric Models
CVPR 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
EMNLP 2022
SparCL: Sparse Continual Learning on the Edge
NeurIPS 2022
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
NeurIPS 2022
Sparse Interventions in Language Models with Differentiable Masking
EMNLP 2022
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
AAAI 2022
Sparse Non-Local CRF
CVPR 2022
Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings
CVPR 2022
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks
AAAI 2022
Sparse Structure Search for Delta Tuning
NeurIPS 2022
Sparse Teachers Can Be Dense with Knowledge
EMNLP 2022
SparseTT: Visual Tracking with Sparse Transformers
IJCAI 2022
Sparse Winning Tickets are Data-Efficient Image Recognizers
NeurIPS 2022
SPARTA at CASE 2021 Task 1: Evaluating Different Techniques to Improve Event Extraction
EMNLP 2022
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
AAAI 2022
Spatial-Channel Token Distillation for Vision MLPs
ICML 2022
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
AAAI 2022
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
ICLR 2022