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)
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
AISTATS 2024
XGA-Osteo: Towards XAI-Enabled Knee Osteoarthritis Diagnosis with Adversarial Learning
IJCAI 2024
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions
ACL 2024
XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning
AAAI 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NeurIPS 2024
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
NeurIPS 2024
X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
CVPR 2024
***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
EMNLP 2024
YNU-HPCC at SIGHAN-2024 dimABSA Task: Using PLMs with a Joint Learning Strategy for Dimensional Intensity Prediction
ACL 2024
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions
EMNLP 2024
You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection
NeurIPS 2024
You Only Look at Screens: Multimodal Chain-of-Action Agents
ACL 2024
Your Career Path Matters in Person-Job Fit
AAAI 2024
Your contrastive learning problem is secretly a distribution alignment problem
NeurIPS 2024
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
CVPR 2024
Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning
CVPR 2024
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
ACL 2024
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering
EMNLP 2024
ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images
CVPR 2024
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
CVPR 2024
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis
CVPR 2024
Zero-Shot Aerial Object Detection with Visual Description Regularization
AAAI 2024
Zero-shot Commonsense Reasoning over Machine Imagination
EMNLP 2024
Zero-shot Cross-lingual Alignment for Embedding Initialization
ACL 2024
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages
ACL 2024