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
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'20
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Papers (including subtopics)
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection
AAAI 2025
CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation
ACL 2025
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
WACV 2025
CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
ICLR 2025
Client Selection for Federated Policy Optimization with Environment Heterogeneity
JMLR 2025
ClimateEval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change
ACL 2025
Clinical Measurements with Calibrated Instance-Dependent Confidence Interval
MIDL 2025
CliniDial: A Naturally Occurring Multimodal Dialogue Dataset for Team Reflection in Action During Clinical Operation
ACL 2025
CLIPArTT: Adaptation of CLIP to New Domains at Test Time
WACV 2025
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
AAAI 2025
CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
CVPR 2025
CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification
AAAI 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
ACL 2025
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation
ICCV 2025
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
CVPR 2025
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
AAAI 2025
CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision
RSS 2025
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
WACV 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
ICLR 2025
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
IJCAI 2025
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
CVPR 2025
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
ICLR 2025
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
CVPR 2025
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
CVPR 2025
Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
ICLR 2025