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)
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
CVPR 2024
3DInAction: Understanding Human Actions in 3D Point Clouds
CVPR 2024
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
CVPR 2024
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
AAAI 2024
3D-VLA: A 3D Vision-Language-Action Generative World Model
ICML 2024
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
CVPR 2024
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
NeurIPS 2024
AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning
AAAI 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
CVPR 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
NeurIPS 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion
NeurIPS 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
NeurIPS 2024
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
ACL 2024
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization
NeurIPS 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing
AAAI 2024
Accelerating Augmentation Invariance Pretraining
NeurIPS 2024
Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke
MIDL 2024
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
NeurIPS 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
EMNLP 2024
Accept the Modality Gap: An Exploration in the Hyperbolic Space
CVPR 2024
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
NeurIPS 2024
Accurate Spatial Gene Expression Prediction by Integrating Multi-Resolution Features
CVPR 2024
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
NeurIPS 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
AISTATS 2024
Achieving Stronger Generation via Simple Contrastive Tuning
EMNLP 2024