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)
CLAP: Collaborative Adaptation for Patchwork Learning
ICLR 2024
Clarifying the Behavior and the Difficulty of Adversarial Training
AAAI 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
NeurIPS 2024
CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models
ACL 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
NeurIPS 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation
NeurIPS 2024
Classification with Deep Neural Networks and Logistic Loss
JMLR 2024
Class Incremental Learning with Multi-Teacher Distillation
CVPR 2024
Class Tokens Infusion for Weakly Supervised Semantic Segmentation
CVPR 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
NeurIPS 2024
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
ICLR 2024
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration
CVPR 2024
CLiC: Concept Learning in Context
CVPR 2024
CLIM: Contrastive Language-Image Mosaic for Region Representation
AAAI 2024
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
EMNLP 2024
ClinicalRAG: Enhancing Clinical Decision Support through Heterogeneous Knowledge Retrieval
ACL 2024
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
CVPR 2024
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning
CVPR 2024
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model
AAAI 2024
CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data
AAAI 2024
CLIP in Mirror: Disentangling text from visual images through reflection
NeurIPS 2024
CLIP-KD: An Empirical Study of CLIP Model Distillation
CVPR 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
ICLR 2024
C-LLM: Learn to Check Chinese Spelling Errors Character by Character
EMNLP 2024
CL-MAE: Curriculum-Learned Masked Autoencoders
WACV 2024