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)
EASE-DETR: Easing the Competition among Object Queries
CVPR 2024
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
ACL 2024
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
ACL 2024
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
EMNLP 2024
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations
CVPR 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
CVPR 2024
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce
AAAI 2024
ECSIC: Epipolar Cross Attention for Stereo Image Compression
WACV 2024
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
CVPR 2024
EDM3: Event Detection as Multi-task Text Generation
NAACL 2024
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
NeurIPS 2024
EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals
NeurIPS 2024
EEND-M2F: Masked-attention mask transformers for speaker diarization
Interspeech 2024
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation
AAAI 2024
Effective Data Distillation for Tabular Datasets (Student Abstract)
AAAI 2024
Effective In-Context Example Selection through Data Compression
ACL 2024
Effective Synthetic Data and Test-Time Adaptation for OCR Correction
EMNLP 2024
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
ACL 2024
Efficiency for Free: Ideal Data Are Transportable Representations
NeurIPS 2024
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
WACV 2024
Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation
MIDL 2024
Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
CVPR 2024
Efficient Answer Retrieval System (EARS): Combining Local DB Search and Web Search for Generative QA
EMNLP 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
NeurIPS 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
ICML 2024