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)
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models
EMNLP 2024
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
ACL 2024
Enable Fast Sampling for Seq2Seq Text Diffusion
EMNLP 2024
Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection
ACL 2024
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
EMNLP 2024
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
AAAI 2024
Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection
CVPR 2024
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
ICLR 2024
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
IJCAI 2024
End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy
AAAI 2024
End-to-End Speech Recognition for Endangered Languages of Nepal
EACL 2024
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract)
AAAI 2024
Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble
ACL 2024
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
EMNLP 2024
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning
CVPR 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
CVPR 2024
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing
AAAI 2024
Enhancing Advanced Visual Reasoning Ability of Large Language Models
EMNLP 2024
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development
ACL 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences
EMNLP 2024
Enhancing Byzantine-Resistant Aggregations with Client Embedding
EMNLP 2024
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs
COLING 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
NeurIPS 2024
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
ICLR 2024
Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping
ACL 2024