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)
Evaluating and reducing the distance between synthetic and real speech distributions
Interspeech 2023
Evaluating context-invariance in unsupervised speech representations
Interspeech 2023
Evaluating Inter-Bilingual Semantic Parsing for Indian Languages
ACL 2023
Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology
ACL 2023
Evaluating Object Hallucination in Large Vision-Language Models
EMNLP 2023
Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain
EMNLP 2023
Evaluating Paraphrastic Robustness in Textual Entailment Models
ACL 2023
Event-Guided Procedure Planning from Instructional Videos with Text Supervision
ICCV 2023
Event Ontology Completion with Hierarchical Structure Evolution Networks
EMNLP 2023
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting
ACML 2023
Evolved Part Masking for Self-Supervised Learning
CVPR 2023
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains
EMNLP 2023
EXCALIBUR: Encouraging and Evaluating Embodied Exploration
CVPR 2023
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars
CVPR 2023
EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata
CVPR 2023
Explainability as statistical inference
ICML 2023
Explainable Brain Age Prediction using coVariance Neural Networks
NeurIPS 2023
Explain Any Concept: Segment Anything Meets Concept-Based Explanation
NeurIPS 2023
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues
AAAI 2023
Explanation Regeneration via Information Bottleneck
ACL 2023
Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
ICLR 2023
Explicit Invariant Feature Induced Cross-Domain Crowd Counting
AAAI 2023
Explicit Visual Prompting for Low-Level Structure Segmentations
CVPR 2023
Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation
AAAI 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
EMNLP 2023