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)
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
EMNLP 2024
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack
AAAI 2024
Explicit Visual Prompts for Visual Object Tracking
AAAI 2024
Exploiting Auxiliary Caption for Video Grounding
AAAI 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
NeurIPS 2024
Exploiting Diffusion Prior for Generalizable Dense Prediction
CVPR 2024
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection
AAAI 2024
Exploiting Polarized Material Cues for Robust Car Detection
AAAI 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
ACL 2024
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
ECCV 2024
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
CVPR 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
ECCV 2024
Exploiting Target Language Data for Neural Machine Translation Beyond Back Translation
ACL 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
EMNLP 2024
Exploration by Learning Diverse Skills through Successor State Representations
NeurIPS 2024
Exploring Adversarial Robustness of Deep State Space Models
NeurIPS 2024
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection
AAAI 2024
Exploring Chain-of-Thought for Multi-modal Metaphor Detection
ACL 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
ICML 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
IJCAI 2024
Exploring Design Choices for Building Language-Specific LLMs
EMNLP 2024
Exploring Diverse Representations for Open Set Recognition
AAAI 2024
Exploring Domain Robust Lightweight Reward Models based on Router Mechanism
ACL 2024
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
CVPR 2024
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
AAAI 2024