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)
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks
CVPR 2016
What Players Do With the Ball: A Physically Constrained Interaction Modeling
CVPR 2016
What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
CVPR 2016
Where to Look: Focus Regions for Visual Question Answering
CVPR 2016
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features
Interspeech 2016
Yin and Yang: Balancing and Answering Binary Visual Questions
CVPR 2016
A Convolutional Neural Network Cascade for Face Detection
CVPR 2015
Action Recognition With Trajectory-Pooled Deep-Convolutional Descriptors
CVPR 2015
Active Learning from Weak and Strong Labelers
NeurIPS 2015
Adversarial Prediction Games for Multivariate Losses
NeurIPS 2015
Approximating Sparse PCA from Incomplete Data
NeurIPS 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
NeurIPS 2015
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors
CVPR 2015
Associative Memory via a Sparse Recovery Model
NeurIPS 2015
Automatic Concept Discovery From Parallel Text and Visual Corpora
ICCV 2015
Backpropagation for Energy-Efficient Neuromorphic Computing
NeurIPS 2015
Beyond Spatial Pooling: Fine-Grained Representation Learning in Multiple Domains
CVPR 2015
Bidirectional Recurrent Neural Networks as Generative Models
NeurIPS 2015
Bilinear Heterogeneous Information Machine for RGB-D Action Recognition
CVPR 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
NeurIPS 2015
Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation
CVPR 2015
Category-Specific Object Reconstruction From a Single Image
CVPR 2015
Class Consistent Multi-Modal Fusion With Binary Features
CVPR 2015
Collaborative Feature Learning From Social Media
CVPR 2015
Color Constancy by Learning to Predict Chromaticity from Luminance
NeurIPS 2015