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
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'25
Papers (including subtopics)
YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification
SemEval 2025
YNUzwt at SemEval-2025 Task 10: Tree-guided Stagewise Classifier for Entity Framing and Narrative Classification
SemEval 2025
Yo'Chameleon: Personalized Vision and Language Generation
CVPR 2025
YodiV3: NLP for Togolese Languages with Eyaa-Tom Dataset and the Lom Metric
ACL 2025
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
ICCV 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
ICCV 2025
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
AISTATS 2025
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
EMNLP 2025
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
CVPR 2025
Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation
CVPR 2025
You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
CVPR 2025
Z1: Efficient Test-time Scaling with Code
EMNLP 2025
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization
OSDI 2025
Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion
CVPR 2025
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition
AAAI 2025
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
EMNLP 2025
Zero_Shot at SemEval-2025 Task 11: Fine-Tuning Deep Learning and Transformer-based Models for Emotion Detection in Multi-label Classification, Intensity Estimation, and Cross-lingual Adaptation
SemEval 2025
Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling
CVPR 2025
Zero-shot capability of 2D SAM-family models for bone segmentation in CT scans
MIDL 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
WACV 2025
Zero-Shot Compositional Video Learning with Coding Rate Reduction
ICCV 2025
Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation
EMNLP 2025
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs
EMNLP 2025
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior
AAAI 2025
Zero-Shot Head Swapping in Real-World Scenarios
CVPR 2025