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)
APISR: Anime Production Inspired Real-World Anime Super-Resolution
CVPR 2024
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
EMNLP 2024
Apple Tasting: Combinatorial Dimensions and Minimax Rates
COLT 2024
Applying Contrastive Learning to Code Vulnerability Type Classification
EMNLP 2024
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
EMNLP 2024
Applying RLAIF for Code Generation with API-usage in Lightweight LLMs
ACL 2024
Approximation Rate of the Transformer Architecture for Sequence Modeling
NeurIPS 2024
A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation
ACL 2024
A probability contrastive learning framework for 3D molecular representation learning
NeurIPS 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
NeurIPS 2024
ArcAid: Analysis of Archaeological Artifacts Using Drawings
WACV 2024
Arcee’s MergeKit: A Toolkit for Merging Large Language Models
EMNLP 2024
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
NeurIPS 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
NeurIPS 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
ACL 2024
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
ICLR 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
EMNLP 2024
Are ELECTRA’s Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
EMNLP 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
NeurIPS 2024
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
EMNLP 2024
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
EMNLP 2024
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
ACL 2024
Are modern neural ASR architectures robust for polysynthetic languages?
EMNLP 2024
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
EMNLP 2024
Are there identifiable structural parts in the sentence embedding whole?
EMNLP 2024