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)
Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining
ACML 2024
Enhancing Discourse Dependency Parsing with Sentence Dependency Parsing: A Unified Generative Method Based on Code Representation
EMNLP 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
NeurIPS 2024
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
NeurIPS 2024
Enhancing Healthcare Predictions with Deep Learning Models
AAAI 2024
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations
ACL 2024
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss
ACL 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
NeurIPS 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
AAAI 2024
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing
EMNLP 2024
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
EMNLP 2024
Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition
EMNLP 2024
Enhancing LLM Capabilities Beyond Scaling Up
EMNLP 2024
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study
ACL 2024
Enhancing Low-Resource Relation Representations through Multi-View Decoupling
AAAI 2024
Enhancing Multi-Label Classification via Dynamic Label-Order Learning
AAAI 2024
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
ACL 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
NeurIPS 2024
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
AAAI 2024
Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling
WACV 2024
Enhancing Neural Machine Translation for Ainu-Japanese: A Comprehensive Study on the Impact of Domain and Dialect Integration
EMNLP 2024
Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis
AAAI 2024
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes
ACL 2024
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
NeurIPS 2024
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
CVPR 2024