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)
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
AAAI 2023
Adaptive Graph Convolutional Subspace Clustering
CVPR 2023
Adaptive Human Matting for Dynamic Videos
CVPR 2023
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval
EMNLP 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AAAI 2023
Adaptive Mixing of Auxiliary Losses in Supervised Learning
AAAI 2023
Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
CVPR 2023
Adaptive Policy with Wait-k Model for Simultaneous Translation
EMNLP 2023
Adaptive Textual Label Noise Learning based on Pre-trained Models
EMNLP 2023
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
AAAI 2023
Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation
CVPR 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
NeurIPS 2023
A Data-Based Perspective on Transfer Learning
CVPR 2023
A Dataset of Argumentative Dialogues on Scientific Papers
ACL 2023
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
AAAI 2023
A Data Source for Reasoning Embodied Agents
AAAI 2023
Addressing Negative Transfer in Diffusion Models
NeurIPS 2023
Addressing the Length Bias Challenge in Document-Level Neural Machine Translation
EMNLP 2023
ADEPT: A DEbiasing PrompT Framework
AAAI 2023
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation
AAAI 2023
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression
ACL 2023
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
NeurIPS 2023
Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation
AAAI 2023
Advancing Bangla Punctuation Restoration by a Monolingual Transformer-Based Method and a Large-Scale Corpus
EMNLP 2023
Advancing Deep Metric Learning With Adversarial Robustness
ACML 2023