Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity
NAACL 2024
CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment
COLING 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
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
EMNLP 2024
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
EMNLP 2024
CLIPAG: Towards Generator-Free Text-to-Image Generation
WACV 2024
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
CVPR 2024
CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
NeurIPS 2024
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
NeurIPS 2024
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
WACV 2024
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning
CVPR 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
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
NeurIPS 2024
CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
ICLR 2024
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
CVPR 2024
C-LLM: Learn to Check Chinese Spelling Errors Character by Character
EMNLP 2024
CL-MAE: Curriculum-Learned Masked Autoencoders
WACV 2024
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
NeurIPS 2024
CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
CVPR 2024
CLTL@Multimodal Hate Speech Event Detection 2024: The Winning Approach to Detecting Multimodal Hate Speech and Its Targets
EACL 2024
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
AAAI 2024