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)
Zero-Shot Image Captioning with Multi-type Entity Representations
AAAI 2025
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
AAAI 2025
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
IJCAI 2025
Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image
AAAI 2025
Zero-shot RGB-D Point Cloud Registration with Pre-trained Large Vision Model
CVPR 2025
Zero-Shot Scene Change Detection
AAAI 2025
Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems
COLING 2025
Zero-Shot Speech-Based Depression and Anxiety Assessment with LLMs
Interspeech 2025
Zero-Shot Styled Text Image Generation, but Make It Autoregressive
CVPR 2025
Zero-Shot Text-to-Speech for Vietnamese
ACL 2025
Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
AAAI 2025
ZeroStereo: Zero-shot Stereo Matching from Single Images
ICCV 2025
Zhoumou at SemEval-2025 Task 1: Leveraging Multimodal Data Augmentation and Large Language Models for Enhanced Idiom Understanding
SemEval 2025
Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
CVPR 2025
ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation
CVPR 2025
Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection
SemEval 2025
𝛿-Stance: A Large-Scale Real World Dataset of Stances in Legal Argumentation
ACL 2025
ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
NeurIPS 2024
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
NeurIPS 2024
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
NeurIPS 2024
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness
CVPR 2024
3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
CVPR 2024
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow
CVPR 2024
3D Facial Expressions through Analysis-by-Neural-Synthesis
CVPR 2024
3D Feature Tracking via Event Camera
CVPR 2024