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)
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
EMNLP 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
AAAI 2024
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning
CVPR 2024
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
ACL 2024
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
ICML 2024
Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis
ACL 2024
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples
CVPR 2024
Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
AAAI 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
AAAI 2024
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
UAI 2024
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
AAAI 2024
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
EMNLP 2024
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
ACL 2024
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
ACL 2024
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence
ACL 2024
Bi-directional Adapter for Multimodal Tracking
AAAI 2024
Bidirectional Contrastive Split Learning for Visual Question Answering
AAAI 2024
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
CVPR 2024
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
NeurIPS 2024
BigGait: Learning Gait Representation You Want by Large Vision Models
CVPR 2024
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
EMNLP 2024
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness
CVPR 2024
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
CVPR 2024
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations
CVPR 2024
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
ACL 2024